<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Pastoralism</journal-id>
<journal-title-group>
<journal-title>Pastoralism: Research, Policy and Practice</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Pastoralism</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2041-7136</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">17299</article-id>
<article-id pub-id-type="doi">10.3389/past.2026.17299</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Historical mobility and settlement transitions influence livestock farmers&#x2019; climate risk perceptions and strategies against feed gaps in Central C&#xf4;te d&#x2019;Ivoire</article-title>
<alt-title alt-title-type="left-running-head">Ebert et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/past.2026.17299">10.3389/past.2026.17299</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ebert</surname>
<given-names>Theresa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3595103"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>N&#x27;Goran</surname>
<given-names>Ange-Jokebed Adjoua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3643707"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Koutouan</surname>
<given-names>Faustin Parfait</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Amin</surname>
<given-names>Ariane</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Isselstein</surname>
<given-names>Johannes</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1043153"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lamega</surname>
<given-names>Sala</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2669036"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Crop Science, University of G&#xf6;ttingen</institution>, <city>G&#xf6;ttingen</city>, <country country="DE">Germany</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Universite Cheikh Anta Diop de Dakar</institution>, <city>Dakar</city>, <country country="SN">Senegal</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Institut National Polytechnique Felix Houphouet-Boigny</institution>, <city>Yamoussoukro</city>, <country country="CI">C&#xf4;te d&#x2019;Ivoire</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Universite Felix Houphouet-Boigny Unite de Formation et de Recherche en Sciences Economiques et Gestion</institution>, <city>Abidjan</city>, <country country="CI">C&#xf4;te d&#x2019;Ivoire</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Theresa Ebert, <email xlink:href="mailto:theresa.ebert@uni-goettingen.de">theresa.ebert@uni-goettingen.de</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-10-23">
<day>23</day>
<month>10</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>17299</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>07</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>10</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>10</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Ebert, N&#x27;Goran, Koutouan, Amin, Isselstein and Lamega.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Ebert, N&#x27;Goran, Koutouan, Amin, Isselstein and Lamega</copyright-holder>
<license>
<ali:license_ref start_date="2026-10-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>To meet the increasing demand for livestock and livestock products in C&#xf4;te d&#x2019;Ivoire, sedentary livestock farming in peri-urban areas is promoted; however, there is limited information on how these farmers manage production amid climate uncertainties. This study examined the livestock production system and evaluated farmers&#x2019; perceptions of climate risks, livestock feed gaps, and management practices. A cross-sectional survey was conducted using a semi-structured questionnaire with 126 cattle farmers across two locations (Bouak&#xe9; and Toumodi) in Central C&#xf4;te d&#x27;Ivoire. The locations were selected as case studies representing two contrasting settlement histories of sedentary herding systems: Bouak&#xe9;, with a non-pastoral tradition, and Toumodi, with a pastoral tradition. Overall, 98% of farmers reported using common grazing resources, with 70% practicing continuous year-round grazing. The most commonly perceived climate risks were decreased rainfall (94%) and increased temperatures (82%), which often led to frequent livestock feed gaps (88%) and negative impacts on livestock productivity (e.g., weight losses, mortality). Moreover, our logistic regression models revealed that perceptions of climate hazards and the occurrence of new diseases were location-specific (<italic>P</italic> &#x3c; 0.01), but the latter perception was attributed to increased herd movement to access water and forage. A high perception of climate risk was a greater concern across herders, regardless of the settlement history. However, the proportion perceiving low climate risk was generally higher among those with additional cropping activities, though this finding was inconclusive due to the small sample of mixed crop-livestock farms (25%). The primary management strategy to address feed gaps was increased mobility, which was more prevalent among herders in Toumodi (77%) with a pastoral tradition than among herders in Bouak&#xe9; (&#x223c;50%) (<italic>P</italic> &#x3c; 0.05). Furthermore, an exploratory latent class analysis of coping and adaptation strategies revealed that a subgroup of herders in Bouak&#xe9; (42%) is not aware of significant innovative practices, making them a key target for support. We conclude that future climate adaptation efforts should prioritize underrepresented regions by considering the specific production characteristics of settled herders and by strengthening connections among livestock keepers, breeders, and agroecological contexts.</p>
</abstract>
<kwd-group>
<kwd>adaptation</kwd>
<kwd>cattle</kwd>
<kwd>climate risk</kwd>
<kwd>sedentary herders</kwd>
<kwd>West Africa</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was financially supported by the African Women in Agricultural Research and Development (AWARD) and the One Planet Fellowship Program.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="1"/>
<ref-count count="71"/>
<page-count count="15"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Livestock production is central to the economy in West Africa (WA) and plays a key role in the livelihoods of more than 100 million people (<xref ref-type="bibr" rid="B49">Molina-Flores et al., 2020</xref>; <xref ref-type="bibr" rid="B70">Zougmor&#xe9; et al., 2016</xref>). The production system in arid and semi-arid areas is traditionally managed by pastoralists who move large herds of livestock, such as cattle, seasonally into coastal areas for forage and water (<xref ref-type="bibr" rid="B29">Fern&#xe1;ndez-Rivera et al., 2004</xref>; <xref ref-type="bibr" rid="B63">Timpong-Jones et al., 2023</xref>). Therefore, the production system highly relies on rainfall patterns and vegetation dynamics for productivity (<xref ref-type="bibr" rid="B66">Turner and Schlecht, 2019</xref>; <xref ref-type="bibr" rid="B70">Zougmor&#xe9; et al., 2016</xref>). However, the arid and semi-arid areas of WA are among the most vulnerable regions to the changing climate (<xref ref-type="bibr" rid="B35">IPCC, 2022</xref>; <xref ref-type="bibr" rid="B39">Kongo and Arreyndip, 2025</xref>). For example, El Ni&#xf1;o events led to extreme climatic conditions, including severe drought across many regions of WA with profound impacts on agricultural activities (<xref ref-type="bibr" rid="B39">Kongo and Arreyndip, 2025</xref>; <xref ref-type="bibr" rid="B57">Tefera et al., 2025</xref>). Given the increasing climate impacts at varying spatial scales within and between West African countries, herd mobility is necessary to exploit forage and water resources (<xref ref-type="bibr" rid="B63">Timpong-Jones et al., 2023</xref>; <xref ref-type="bibr" rid="B66">Turner and Schlecht, 2019</xref>). Although mobile livestock husbandry has been argued to be an adaptation strategy to climate uncertainties, it also faces local resource conflicts and mismanagement (<xref ref-type="bibr" rid="B4">Amoah et al., 2025</xref>; <xref ref-type="bibr" rid="B63">Timpong-Jones et al., 2023</xref>). As a result, most government livestock initiatives in WA support agro-pastoralism and sedentarization systems to reduce climate risks while enhancing livestock productivity (<xref ref-type="bibr" rid="B32">Gonin and Gautier, 2015</xref>; <xref ref-type="bibr" rid="B41">Koutchoro et al., 2025</xref>).</p>
<p>Nonetheless, these systems also rely on rainfall patterns, and questions remain about their suitability to manage the increased climate variability and resource competition due to shrinking grazing lands (<xref ref-type="bibr" rid="B32">Gonin and Gautier, 2015</xref>; <xref ref-type="bibr" rid="B33">Houessou et al., 2019</xref>; <xref ref-type="bibr" rid="B69">Zampaligr&#xe9; et al., 2019</xref>). <xref ref-type="bibr" rid="B33">Houessou et al. (2019)</xref> demonstrated that as settled pastoralists are confined to designated grazing areas, their dependence on natural vegetation is affected by ongoing climate change. In this context, feed gaps (FG) and their frequency (FG frequency) may pose serious risks for sedentary herders. Therefore, understanding perceptions of climate change and its impacts can be a valuable way to assess risks and develop more effective adaptation strategies to climate uncertainty (<xref ref-type="bibr" rid="B24">Douxchamps et al., 2016</xref>; <xref ref-type="bibr" rid="B34">Huet et al., 2020</xref>). A number of recent studies have highlighted herders&#x2019; perceptions of climate change, its impacts, and how they deal with uncertainty in WA (<xref ref-type="bibr" rid="B22">Djakpa et al., 2024</xref>; <xref ref-type="bibr" rid="B38">Kima et al., 2015</xref>; <xref ref-type="bibr" rid="B41">Koutchoro et al., 2025</xref>; <xref ref-type="bibr" rid="B58">Tetteh et al., 2023</xref>; <xref ref-type="bibr" rid="B62">Tidjani et al., 2025</xref>; <xref ref-type="bibr" rid="B69">Zampaligr&#xe9; et al., 2014</xref>; <xref ref-type="bibr" rid="B69">Zampaligr&#xe9; et al., 2019</xref>). In general, these studies examined how herders in WA perceive climate change and its effects on the production system and provided important insights into key adaptation strategies. Moreover, they also indicate perceptions of semi-pastoralists and sedentary herders across different West African countries. For example, in semi-arid Northern Benin, <xref ref-type="bibr" rid="B22">Djakpa et al. (2024)</xref> showed that pastoralists observed climate change, particularly in rainfall and temperature variability, and had adopted strategies such as introducing new breeds, sedentarizing animals, and altering mobility patterns to complement feed and water resources. In sub-humid Burkina Faso, <xref ref-type="bibr" rid="B38">Kima et al. (2015)</xref> demonstrated that the majority of agro-pastoralists perceived changes in temperature rather than in rainfall amounts, and adopted measures such as destocking and the use of crop residues during periods of feed scarcity. Several factors have previously been identified as determinants of both perceptions and adaptation strategies, including access to land and herd size, access to information and extension services, government support, household income, experience, and motivation, among others (<xref ref-type="bibr" rid="B20">Deressa et al., 2008</xref>; <xref ref-type="bibr" rid="B34">Huet et al., 2020</xref>; <xref ref-type="bibr" rid="B45">Menghistu et al., 2020</xref>). Nevertheless, there is a need to evaluate perceptions of the risks posed by climate hazards and their frequency. This approach could provide a context-specific understanding of the degree of variability in risk perceptions, thereby improving farmers&#x2019; adaptive capacity (<xref ref-type="bibr" rid="B34">Huet et al., 2020</xref>). Furthermore, there is a need to expand research on perceptions of climate change and livestock herders&#x2019; adaptation in other neglected regions of WA.</p>
<p>In C&#xf4;te d&#x2019;Ivoire (CIV), for instance, although the livestock sector accounts for only 4.5% of agricultural GDP, current efforts aim to increase self-sufficiency in livestock products (<xref ref-type="bibr" rid="B49">Molina-Flores et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Minist&#xe8;re des Ressources Animales et Halieutiques, 2022</xref>). The primary goal of these efforts is to develop livestock policies that aim to sedentarize herds and promote peri-urban livestock production, particularly to increase meat supply amid climate uncertainties. Yet, livestock production in these systems remains largely underexploited (<xref ref-type="bibr" rid="B15">Bosson et al., 2022</xref>), and there is insufficient research on how those herders perceive and respond to climate-induced impacts. Additionally, <xref ref-type="bibr" rid="B39">Kongo and Arreyndip (2025)</xref> highlighted that CIV is vulnerable to climate hazards, such as drought, thereby raising uncertainty about the future of livestock production. There have been studies reporting on farmers&#x2019; perceptions of climate change and practices for dealing with climate uncertainties in CIV (<xref ref-type="bibr" rid="B12">Bodji et al., 2017</xref>; <xref ref-type="bibr" rid="B15">Bosson et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist, 2015</xref>; <xref ref-type="bibr" rid="B23">Djezou and N&#x2019;Goran, 2024</xref>). However, most studies extensively discuss farmers&#x2019; perceptions of current climate variability, mainly focusing on cropping systems, while sedentary cattle farming remains underrepresented. Additionally, empirical studies on how settlement history influences husbandry and climate-risk management, towards intensification of livestock production have received little attention (<xref ref-type="bibr" rid="B6">Ayantunde et al., 2020</xref>). In effect, it is important to understand how the contrasting settlement histories of pastoralists and non-pastoralists influence climate change in sedentary livestock farming. Additionally, assessing the differences in climate risk perception and management will be crucial towards livestock intensification.</p>
<p>To address this research gap, we conducted a field survey at two locations in CIV, specifically, in Bouak&#xe9; and Toumodi. Livestock herders in Toumodi were traditionally pastoralists with large herds who had transitioned to a sedentary system, whereas herders in Bouak&#xe9; have no pastoral tradition (<xref ref-type="bibr" rid="B55">Sokouri et al., 2014</xref>) (See section <italic>Settlement history, origin, and location background</italic>). Accordingly, Bouak&#xe9; and Toumodi are treated throughout this study as case studies of two contrasting cattle husbandry systems, distinguished primarily by their settlement histories and grazing traditions. This allows us to characterize the current cattle husbandry practices among sedentary herders with different pastoral traditions and to analyse their perceptions of hazards and risks, primarily related to climate, feed gaps and their impacts. Feed gap is defined as a period during which the quantity and/or quality of mainly available forage is deficit for livestock nutritional and physiological requirements, typically driven by intra- and inter-seasonal shortages in pasture growth (<xref ref-type="bibr" rid="B43">Lamega et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Moore et al., 2009</xref>). The study further documents differences in current management strategies across the two locations to characterize herders&#x2019; adaptation profile. We hypothesize that perceptions of climate hazards, risks associated with feed gaps, and adaptation strategies differ across locations because settlement history has influenced husbandry practices. As such, this study is important for developing effective solutions to improve sedentary livestock farming in CIV, with broader implications for WA.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Description of the study area</title>
<p>The study was conducted in C&#xf4;te d&#x2019;Ivoire, bordered by Mali and Burkina Faso to the North, Guinea and Liberia to the west, Ghana to the East, and the Atlantic Ocean to the south (<xref ref-type="fig" rid="F1">Figure 1</xref>). The climate is generally characterized by four major seasons: a long dry season (November-February), a long rainy season (March-June), a short dry season (July-August), and a short rainy season (September-October) (<xref ref-type="bibr" rid="B55">Sokouri et al., 2014</xref>). Two locations in the central part of CIV were selected for this study: Bouak&#xe9; (7.69&#xb0; N, 5.03&#xb0; W), located in the Vall&#xe9;e Bandama district, and Toumodi (6.56&#xb0; N, 5.02&#xb0; W), located in the Lacs district (<xref ref-type="fig" rid="F1">Figure 1</xref>). Cropping systems in the central CIV area are mostly rainfed, with cassava (<italic>Manihot esculenta Crantz</italic>), maize (<italic>Zea mays</italic> L.), yams (<italic>Dioscorea alata L</italic>.), and Bambara groundnuts (<italic>Vigna subterranea</italic> L<italic>.)</italic> being the most important crops, cultivated in mixed farming systems (<xref ref-type="bibr" rid="B14">Bonny et al., 2019</xref>). Both locations belong to the Sudano-Guinean agroecological zone (<xref ref-type="bibr" rid="B55">Sokouri et al., 2014</xref>). An estimated 17.4% of national cattle production in C&#xf4;te d&#x27;Ivoire comes from the central region (<xref ref-type="bibr" rid="B55">Sokouri et al., 2014</xref>), significantly lower than the Northern region&#x2019;s estimated contribution of 78.3%. However, ongoing efforts to promote and expand domestic livestock production while reducing pressure on grazing resources have focused on developing livestock programs in the central region (<xref ref-type="bibr" rid="B55">Sokouri et al., 2014</xref>; <xref ref-type="bibr" rid="B46">Minist&#xe8;re des Ressources Animales et Halieutiques, 2022</xref>; <xref ref-type="bibr" rid="B59">Th&#xe9;baud and Corniaux, 2019</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Map showing the location of C&#xf4;te d&#x2019;Ivoire and the two sampled locations (Bouak&#xe9; and Toumodi).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="past-16-17299-g001.tif">
<alt-text content-type="machine-generated">Map of C&#xF4;te d&#x27;Ivoire showing the locations of Bouake and Toumodi marked with red dots, labeled with neighboring countries and the Atlantic Ocean, and an inset locating C&#xF4;te d&#x27;Ivoire within Africa.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-2">
<title>Settlement history, origin, and location background</title>
<p>In this study, Bouak&#xe9;-Toumodi differences are primarily linked to their settlement history and pastoral tradition, but we also recognize that the two sites differ along several other factors. First, regarding the ethnic and demographic composition, there is evidence indicating that the herder population of Toumodi predominantly descends from Fulbe (Peul) pastoralists of Sahelian origin. Their herds have gradually migrated into the sub-humid Sudano-Guinean and Guinean savannas of West Africa over the past several decades, in response to recurrent droughts in the Sahel region and changing access to rangelands (<xref ref-type="bibr" rid="B10">Bassett and Turner, 2007</xref>). As a consequence, they historically received comparatively favourable integration under Ivorian state policy relative to neighbouring countries (<xref ref-type="bibr" rid="B48">Mlan et al., 2020</xref>; <xref ref-type="bibr" rid="B69">Zampaligr&#xe9; et al., 2019</xref>). While Fulbe pastoralists were historically characterised by greater herd mobility, many Fulbe herders subsequently adopted semi-transhumant or sedentary lifestyles (<xref ref-type="bibr" rid="B30">Fortes-Lima et al., 2025</xref>). Bouak&#xe9;&#x27;s herders, by contrast, are drawn predominantly from local, historically non-pastoral agricultural populations who adopted cattle-keeping as a peri-urban commercial activity without an inherited tradition of herd mobility (<xref ref-type="bibr" rid="B11">Bernadet, 1988</xref>). According to <xref ref-type="bibr" rid="B65">Tour&#xe9; (2007)</xref>, cattle traders have evolved into an important group of cattle owners in the peri-urban centre of Bouak&#xe9; owning predominantly beef cattle (<xref ref-type="bibr" rid="B65">Tour&#xe9;, 2007</xref>. Second, the two locations differ in market access and urban scale. For example, Toumodi is a substantially smaller town compared to Bouak&#xe9;, but is closer to the main cities such as Yamoussoukro and Abidjan, differences that potentially shaped access to markets and commercialization. In addition, cattle production in Toumodi was historically promoted through government policies and initiatives and the establishment of a research ranch in the 1960s to support cattle production in the region (<xref ref-type="bibr" rid="B59">Th&#xe9;baud and Corniaux, 2019</xref>). We argue nonetheless that this comparative advantage (e.g., market-access and urban-proximity) is a product of the strategic settlement history of herders in Toumodi. Consequently, the two locations were deliberately chosen to contrast two husbandry systems influenced by their respective settlement histories. Livestock farmers in Toumodi have historically been pastoralists who have adopted sedentarization, whereas herders in Bouak&#xe9; are characterized by peri-urban sedentarization. Throughout this document, the non-pastoral sedentary tradition in Bouak&#xe9; and the settled pastoral herding tradition in Toumodi are referred to as shorthand for these systems, rather than as accurate representations of the geographic regions of Bouak&#xe9; and Toumodi.</p>
</sec>
<sec id="s2-3">
<title>Sampling procedure and data collection</title>
<p>A survey was conducted on 126 farms across the two locations (Bouak&#xe9;, Toumodi) in April 2024, with assistance from extension officers from the National Ministry of Animal and Fisheries Resources. Data were collected through semi-structured interviews with either the farm owner or the herder. The selection prioritized contrast in production-system type and settlement history, and was conducted independently of the total number of cattle or the primary livelihood activity at each location. However, to ensure that the sample from each location was representative, we engaged enumerators who first met and organized cattle herders. From there, initial volunteers were selected, and additional herders were sampled based on the focus group discussion results. As such, the sampling method employed was snowball sampling, a type of convenience sampling in which the researcher selects the initial volunteers based on their relevance to the study topic or their relationship to the target demographic (<xref ref-type="bibr" rid="B47">Mkansi et al., 2025</xref>; <xref ref-type="bibr" rid="B64">Ting et al., 2025</xref>). This selection method relies on non-random criteria, where participants are linked through existing social networks (<xref ref-type="bibr" rid="B64">Ting et al., 2025</xref>). However, using pre-existing social networks is a practical way to identify initial cattle farmers, thereby extending the database of farmers from which the questionnaire was later administered. In effect, a list of cattle herders was provided for each location as the starting point for the sampling frame. The selected cattle herders then provided the contact details of other herders invited to participate in the survey.</p>
<p>The respondents from Toumodi accounted for 52.4% of farms (n &#x3d; 66), while those from Bouak&#xe9; accounted for 47.6% (n &#x3d; 60). The total data of 126 herders are considered adequate for descriptive and binary logistic regression analyses, as long as the independent variables are accounted for. Data were collected on farm-specific aspects of livestock production, climate risks, perceptions of the FG, and the use of adaptation measures in both locations. The questionnaire was divided into sections (<xref ref-type="sec" rid="s13">Supplementary Table S1</xref>). The table&#x2019;s first section focused on the socioeconomic profile of the farm head, including age and educational level. The second section covered livestock management, including livestock feeding systems, herd size, and cattle types. The third section addressed respondents&#x2019; perceptions of climate change, as well as the challenges and opportunities of addressing FG.</p>
<p>A translator, trained in the local language (Dioula, the main language of cattle farmers in C&#xf4;te d&#x2019;Ivoire), conducted the questionnaire in Toumodi, and another translator did so in Bouak&#xe9;. All respondents were male, with the majority aged 31&#x2013;50. The exclusively male respondents reflect the socio-cultural context in which large livestock ownership and management in central C&#xf4;te d&#x2019;Ivoire is predominantly male-dominated (<xref ref-type="bibr" rid="B7">Babo et al., 2022</xref>).</p>
</sec>
<sec id="s2-4">
<title>Data analysis</title>
<sec id="s2-4-1">
<title>Description of livestock production Systems between locations</title>
<p>All descriptive and statistical analyses were performed in R (version 4.2, R Core Team, 2022). Before the analysis, the survey data were checked and cleaned of possible errors and missing values. In the first step, descriptive statistics (e.g., mean, frequency, percentage) were used to describe livestock production and household information (<xref ref-type="sec" rid="s13">Supplementary Table S1</xref>, part A). In addition, specific information was subjected to bivariate analysis (Pearson&#x2019;s chi-squared (&#x3c7;2) or Fisher&#x2019;s Exact test) to test the significant differences between groups when appropriate.</p>
</sec>
<sec id="s2-4-2">
<title>Perception of climate risks and perceived impacts</title>
<p>In a second step, we highlighted livestock herders&#x2019; perceptions of climate risks based on the perceived likelihood of climate hazards and the perceived impact of climate hazards. Here, we adapted the interpretation of risks as &#x201c;the probability of a particular hazardous event taking place against the probability of reaching a certain outcome&#x201d; (<xref ref-type="bibr" rid="B16">Brooks, 2003</xref>; <xref ref-type="bibr" rid="B34">Huet et al., 2020</xref>) (<xref ref-type="fig" rid="F2">Figure 2</xref>). In other words, the vulnerability of the livestock production system was assessed based on the perceived impact of a climate-related hazard and its related impacts. Hence, climate hazard events, such as drought (characterized by reduced precipitation), rising temperatures, and extreme rainfall, were selected as relevant to the study region in the current climate change context. According to <xref ref-type="bibr" rid="B12">Bodji et al. (2017)</xref>, farmers in C&#xf4;te d&#x2019;Ivoire primarily perceive climate variability as changes in rainfall and temperature. We then assessed the impact of these hazardous events, plotting them against perceived impact (as indicated by FG perceptions and their frequency), in line with the conceptual framework (<xref ref-type="fig" rid="F2">Figure 2</xref>). In effect, when herders perceive only one hazardous event occurring occasionally, they perceive its frequency as low to medium. Meanwhile, if at least two hazards occur, the hazard frequency is considered high, and if all three hazards are perceived to have occurred recently, the frequency is considered extreme. However, for the study, the latter three-hazard combinations were not applicable; hence, the perceived frequency of the hazard was classified as low to medium (0) or high (1). On the other hand, the perception of the occurrence of FG (No/low: happening occasionally, yes/high: happening almost every year) and the FG frequency (irregular: happening occasionally, regular: happening almost every year) were defined as reported by <xref ref-type="bibr" rid="B43">Lamega et al. (2021)</xref>. Chi-squared (&#x3c7;2) tests were conducted to identify the association between perceptions of hazards and perceived impact, and to evaluate the risks (low, medium, and high) associated with locations and farm activities, in line with the conceptual framework (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Graphical illustration of the perception of hazardous events and the impact of climate-related hazards in determining risks, adapted from &#x2018;Graphical representation of the different factors determining risk&#x2019; by <xref ref-type="bibr" rid="B34">Huet et al. (2020)</xref>, licensed under <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</ext-link>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="past-16-17299-g002.tif">
<alt-text content-type="machine-generated">Graphic showing a risk assessment matrix with perceived frequency of hazard on the horizontal axis and perceived impact of hazard on the vertical axis. Low risk is labeled in green at the bottom left, high risk in red at the top right, and medium risk labels appear between these. An arrow points diagonally from low risk to high risk.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-4-3">
<title>Analysis of the influencing factors on the perception of climate risks and feed gaps</title>
<p>In the third step, binary logistic regression models were used to analyze factors associated with cattle herders&#x2019; perceptions of climate-related events and their impacts (e.g., feed gaps). For this analysis, the dichotomous variables included perceptions of climate events and the presence or absence of impacts (scoring 1 if the herder had a positive perception and 0 otherwise), while the explanatory variables comprised socio-economic information and the production system (<xref ref-type="sec" rid="s13">Supplementary Table S1</xref>). Generalized Linear Models (GLM) with a Logit Link for Binary Logistic Regression were employed to analyze these effects. The GLM logit model incorporated both production (farm activity, grazing system, production system, cattle herd size, etc.) and socio-economic (gender, education, main income, experience, foreign status, etc.) factors. However, since no women held the position of household head or farm manager, gender was excluded from the model. The model was estimated at a 5% confidence level to identify significant factors influencing cattle herders&#x2019; responses to climate hazards, FG, FG frequency, and the occurrence of new diseases due to climate change. Positive signs in the variable estimates indicate that as the value increases, the probability that the herder perceives the outcome positively also increases, and the reverse is true for negative estimates. The Variance Inflation Factor (VIF) was determined for each variable in the global model to evaluate multicollinearity. Here, a VIF threshold of 10 was employed to address multicollinearity (<xref ref-type="bibr" rid="B2">Abebe et al., 2025</xref>). The most parsimonious model with the lowest Akaike Information Criterion was subsequently chosen through stepwise model reduction, i.e., by reducing the number of predictor variables when appropriate (<xref ref-type="bibr" rid="B9">Barto&#x144;, 2020</xref>). Furthermore, if a model showed an exceptionally large coefficient estimate and standard error for a specific predictor, a bias-reduced logistic regression was employed instead, using the <italic>brglm2</italic> R package (<xref ref-type="bibr" rid="B40">Kosmidis et al., 2020</xref>). The logistic regression model can be expressed as shown in <xref ref-type="disp-formula" rid="e1">Equation 1</xref>.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mi mathvariant="italic">logit</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="italic">P</mml:mi>
<mml:mo>/</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi mathvariant="italic">P</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">&#x3b2;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi mathvariant="italic">X</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">&#x3b2;</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi mathvariant="italic">X</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:mo>&#x2026;</mml:mo>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi mathvariant="italic">&#x3b2;</mml:mi>
<mml:mi mathvariant="italic">k</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi mathvariant="italic">X</mml:mi>
<mml:mi mathvariant="italic">k</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>where: P Probability of a herder perceiving hazardous events or climate risks, [P/1&#x2212; P] odds or likelihoods ratio, which refers to the odds of the perception; &#x3b2;0 intercept; &#x3b2;<sub>1</sub>X<sub>1&#x2026;</sub>&#x3b2;<sub>k</sub>X<sub>k</sub> are the regression coefficients of production and socio-economic factors. A similar model was also used to examine the perception of feed gaps and their frequency.</p>
<p>In addition, the remaining variables (i.e., perceptions of the effects of feed gaps on livestock production; strategies to address feed gaps; and innovative strategies to improve livestock systems; see <xref ref-type="sec" rid="s13">Supplementary Table S1</xref>) were analyzed using bivariate analysis. This analysis identified the most influential factors in perceptions and strategies across locations and farm activity, followed by <italic>post hoc</italic> pairwise tests.</p>
</sec>
<sec id="s2-4-4">
<title>Typology of coping with feed-gap coping and innovative adaptation strategies</title>
<p>To assess whether herders&#x2019; reported coping strategies and prospective adaptation or innovation strategies formed distinct husbandry clusters beyond geographic location, an exploratory latent class analysis (LCA) was conducted using the <italic>poLCA</italic> package in R (<xref ref-type="bibr" rid="B44">Linzer and Lewis, 2011</xref>). The analysis included twelve binary indicators, i.e., six current coping strategies (continuous grazing, crop-residue feeding, feed purchase, destocking, increased mobility, national transhumance) and six potential innovations (digital herd monitoring, breeder cooperatives, paddock rotation, government aid, adapted breeds, drought-resistant forage), across all valid responses from the herders. Models with one to four latent classes were estimated, and the number of classes was selected using the Bayesian Information Criterion (BIC).</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Household description and livestock production characteristics</title>
<p>The number of participants was well distributed across the two locations (<xref ref-type="table" rid="T1">Table 1</xref>). All respondents were male, attributable to the selection criteria requiring contact mainly with cattle farmers. In Bouak&#xe9;, 100% of the responding herders were farm heads with an average of 20 years of farming experience. In contrast, Toumodi had a mix of farm heads (73%) and managers (27%), with an average farming experience of 25 years. More than half of the respondents (59.5%) have some level of education. As expected, there was substantially higher share of foreign-born/immigrant respondents in Toumodi (75%) relative to Bouak&#xe9; (25%; <xref ref-type="table" rid="T1">Table 1</xref>) which is consistent with the strategic settlement history (see <italic>Settlement history, origin, and location background</italic>). The respondents indicated to have originated from countries such as Burkina Faso, Mali and Niger. The average cattle herd size was higher in Toumodi (114.1) than the average in Bouak&#xe9; (56.37) (<xref ref-type="table" rid="T1">Table 1</xref>); the median herd size values were more comparable, (60 in Toumodi and 50 in Bouak&#xe9;). The reported herd size refers to the total combined herd but the respondents also kept additional livestock, including goats, pigs, and sheep, which were not directly recorded in this study.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Descriptive results of the household information and farm characteristics (Bouak&#xe9;: non-pastoral tradition sedentary herders N &#x3d; 60, Toumodi: pastoral tradition, settled for sedentary herding N &#x3d; 66) and across all herders (N &#x3d; 126).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">&#x200b;</th>
<th colspan="3" align="center">Locations</th>
</tr>
<tr>
<th align="center">Characteristic</th>
<th align="center">Bouak&#xe9;<break/>N &#x3d; 60</th>
<th align="center">Toumodi<break/>N &#x3d; 66</th>
<th align="center">All herders<break/>N &#x3d; 126</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Gender: Male (%)</td>
<td align="center">100</td>
<td align="center">100</td>
<td align="center">100</td>
</tr>
<tr>
<td align="left">Farm head as a respondent (%)</td>
<td align="center">100</td>
<td align="center">72.70</td>
<td align="center">85.7</td>
</tr>
<tr>
<td align="left">Farming experience (years)</td>
<td align="center">19.8</td>
<td align="center">25.2</td>
<td align="center">22.8 &#xb1; 10</td>
</tr>
<tr>
<td align="left">Formal education (yes) (%)</td>
<td align="center">49.9</td>
<td align="center">68.7</td>
<td align="center">58.70</td>
</tr>
<tr>
<td align="left">Origin CIV (%)</td>
<td align="center">75</td>
<td align="center">25.8</td>
<td align="center">49.20</td>
</tr>
<tr>
<td align="left">Average herd size (cattle)</td>
<td align="center">56.4</td>
<td align="center">114.1</td>
<td align="center">86.6 &#xb1; 112.9</td>
</tr>
<tr>
<td align="left">Additional livestock (%)</td>
<td align="center">64.9</td>
<td align="center">54.5</td>
<td align="center">59.52</td>
</tr>
<tr>
<td align="left">Livestock-farm as a primary activity (%)</td>
<td align="center">48.3</td>
<td align="center">89.2</td>
<td align="center">69</td>
</tr>
<tr>
<td align="left">Additional cropping activity (%)</td>
<td align="center">18.3</td>
<td align="center">32.8</td>
<td align="center">25.4</td>
</tr>
<tr>
<td align="left">Natural pasture lands utilization (%)</td>
<td align="center">100</td>
<td align="center">95.5</td>
<td align="center">97.6</td>
</tr>
<tr>
<td align="left">Year-round grazing feeding system (%)</td>
<td align="center">44.1</td>
<td align="center">95</td>
<td align="center">69.7</td>
</tr>
<tr>
<td align="left">Additional dairy cattle (%)</td>
<td align="center">0</td>
<td align="center">6.1</td>
<td align="center">3</td>
</tr>
<tr>
<td align="left">Farms owning Z&#xe9;bu cattle (%)</td>
<td align="center">100</td>
<td align="center">87.7</td>
<td align="center">93.2</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Overall, 75% of respondents identified as livestock-only farmers, while 25% were mixed crop-livestock (agro-pastoral) (<xref ref-type="table" rid="T1">Table 1</xref>). The percentage engaged in crop-livestock activity was higher in Toumodi (32.8%) than in Bouak&#xe9; (18.3%), although this difference was not statistically significant (&#x3c7;2 &#x3d; 2.68, <italic>P</italic> &#x3d; 0.1). This discrepancy likely results from the selection criterion, which selected farms with predominantly livestock activities. Moreover, the large majority of respondents (89.2%) in Toumodi considered livestock keeping as their primary economic activity, compared with 48.3% in Bouak&#xe9; (&#x3c7;2 &#x3d; 22.77, <italic>P</italic> &#x3c; 0.001). For the remaining Bouak&#xe9; respondents, livestock keeping is a secondary activity, while their primary activities include crop farming or off-farm/peri-urban employment, reflecting the more diversified urban economy of Bouak&#xe9;, C&#xf4;te d&#x27;Ivoire&#x2019;s second-largest city.</p>
<p>Regarding grazing systems, most herders (69.7%) practice year-round grazing. Herd feeding management across both locations involves grazing natural pastureland. However, year-round grazing of these pastures was more prevalent in Toumodi (95%), whereas in Bouak&#xe9;, only 44% of herders allowed it, despite high utilization of grazing resources (<xref ref-type="table" rid="T1">Table 1</xref>). A possible reason for this is the smaller herd size in Bouak&#xe9; and the lower reliance on livestock activities, which may provide greater economic and management flexibility for stall-feeding.</p>
<p>All farms kept beef cattle (n &#x3d; 126), while only 3.2% of the farms (n &#x3d; 4) kept dairy cattle in addition. Zebu cattle were the most common breed, followed by mixed breeds (16%), with N&#x2019;dama, Meres, Baoul&#xe9;, and their crossbreds making up less than 5%. Farms are engaged in the sale of livestock and livestock products through private abattoir and butchery services (91%), but also through livestock traders (50%). The main costs for livestock production varied by location. In general, the current on-farm expenses reported by herders included medicines and veterinary consultations (99%), salaries (58%), feed (49%), land rental (30%), and water resources (7%). However, a higher proportion of farmers in Toumodi reported expenses for veterinary costs (51%), salaries (38%), and land (27%), whereas feed costs were reported by a higher proportion of farmers in Bouake at 29%.</p>
</sec>
<sec id="s3-2">
<title>Diversity in the perception of climate hazards, risk, and the influencing factors</title>
<p>The most common climate hazards perceived by livestock farmers were increased rainfall breaks and increased temperatures. Across the two locations, approximately 94% of the herders interviewed reported changes in rainfall patterns, including unusual breaks in rainfall. In Toumodi, the within-location percentage was 97%, compared with 90% in Bouak&#xe9; (overall 94%; <xref ref-type="table" rid="T2">Table 2</xref>); therefore, no statistically significant differences were observed between the two locations (<italic>P</italic> &#x3d; 0.15). Approximately 82.5% of herders overall reported an increase in mean temperature; however, this perception was significantly more prevalent in Bouak&#xe9; (93.3%) than in Toumodi (72.7%) (<italic>P</italic> &#x3d; 0.002; <xref ref-type="table" rid="T2">Table 2</xref>). This result was consistent with the significant effect of location on climate-hazard perception in the regression model (<italic>P</italic> &#x3d; 0.01; <xref ref-type="sec" rid="s13">Supplementary Table S2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Herders&#x2019; perceptions of climate hazards and their impacts by location (Bouak&#xe9; and Toumodi) and overall (N &#x3d; 126).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Perception of climate hazards and impacts</th>
<th align="center">Bouak&#xe9;</th>
<th align="center">Toumodi</th>
<th align="center">Overall</th>
<th align="center">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Increased rainfall breaks<sup>&#x23;</sup>
</td>
<td align="center">90%</td>
<td align="center">97%</td>
<td align="center">93.7%</td>
<td align="center">0.15</td>
</tr>
<tr>
<td align="left">Increased rainfall (total)<sup>&#x23;</sup>
</td>
<td align="center">10%</td>
<td align="center">0%</td>
<td align="center">4.8%</td>
<td align="center">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left">Increased mean temperature<sup>&#x23;</sup>
</td>
<td align="center">93.3%</td>
<td align="center">72.7%</td>
<td align="center">82.5%</td>
<td align="center">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left">Perception of feed gaps&#x2a;</td>
<td align="center">83.3%</td>
<td align="center">92.3%</td>
<td align="center">88%</td>
<td align="center">0.21</td>
</tr>
<tr>
<td align="left">Regular occurrence of feed gaps&#x2a;</td>
<td align="center">86.7%</td>
<td align="center">88.9%</td>
<td align="center">87.8%</td>
<td align="center">0.92</td>
</tr>
<tr>
<td align="left">Occurrence of new diseases&#x2a;</td>
<td align="center">50%</td>
<td align="center">81.8%</td>
<td align="center">66.7%</td>
<td align="center">
<bold>&#x3c;0.01</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are the percentage (%) of respondents reporting a positive perception of each predictor. Location differences were assessed using Pearson&#x2019;s &#x03c7;2 (&#x002A;) or Fisher&#x2019;s Exact test (#). Bold values indicate statistically significant results (p &#x03c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The majority (80%) reported both rainfall breaks and increased temperatures, while 20% reported at least one climate hazard (e.g., rainfall breaks/drought, temperature increases, increased precipitation). Interestingly, long-term weather records (1981&#x2013;2010) compared with the most recent years (2018&#x2013;2023) at the two locations showed particularly strong increases in temperature from May to September in Toumodi and from July to November in Bouak&#xe9; (<xref ref-type="sec" rid="s13">Supplementary Table S3</xref>). On the other hand, we found a significant increase in rainfall in Toumodi in recent years, whereas in Bouak&#xe9; we observed a decrease between April and August. Thus, cattle herders&#x2019; observations appear to align, to some extent, with changes in weather. Regarding herders&#x2019; own perceptions of total rainfall, only a small minority overall (4.8%) perceived an increase, and this perception was significantly more common in Bouak&#xe9; (10%) than in Toumodi (0%) (<italic>P</italic> &#x3d; 0.010; <xref ref-type="table" rid="T2">Table 2</xref>). As a result, the majority of herders perceive feed gaps (88%), and these gaps occur more frequently (88%) (<xref ref-type="table" rid="T2">Table 2</xref>); no significant location difference was found for either feed gap perception (<italic>P</italic> &#x3d; 0.21) or its frequency (<italic>P</italic> &#x3d; 0.92). Only 4% of herders were unsure whether feed gaps existed, and 3% were unsure whether they occurred regularly. Interestingly, they also cited the emergence of new diseases as one of the impacts of climate hazards (66%). This perception was significantly higher in Toumodi (82%) than in Bouak&#xe9; (50%) (&#x3c7;2 &#x3d; 14.32, <italic>P</italic> &#x3c; 0.01; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<p>The association between perceptions of climate hazards and the occurrence of feed gaps was not significant (&#x3c7;2 &#x3d; 0.03, <italic>P</italic> &#x3d; 0.86). In effect, the risk perception was similar across the two locations (<xref ref-type="fig" rid="F3">Figure 3A</xref>) and between farming activity (<xref ref-type="fig" rid="F3">Figure 3C</xref>). In contrast, the association between the perception of climate hazard and the frequency of feed gaps was significant (&#x3c7;2 &#x3d; 4.36, <italic>P</italic> &#x3d; 0.04). This was explained by a higher proportion of low-risk perceptions in Toumodi than in Bouak&#xe9; (<xref ref-type="fig" rid="F3">Figure 3B</xref>). Additionally, herders who engaged in additional cropping activities had a higher perception of low risk (<xref ref-type="fig" rid="F3">Figure 3D</xref>). However, the differences are small and may also reflect the fact that a higher percentage of mixed crop-livestock (agro-pastoralists) were located in Toumodi (<xref ref-type="table" rid="T1">Table 1</xref>). Overall, the results indicate that high-risk perception was a stronger concern across farms, regardless of the settlement history or farming activity. Perceptions of feed gaps and their frequent occurrence are common among farms with large herds (Toumodi) as well as among farms with smaller herds (Bouak&#xe9;). Interestingly, the results suggest that, particularly regarding the frequency of feed gaps, agro-pastoralists tend to perceive low risk more often (<xref ref-type="fig" rid="F3">Figure 3D</xref>), despite having a similar perception of high risk associated with feed gaps (<xref ref-type="fig" rid="F3">Figure 3C</xref>). This is partly because mixed crop-livestock farmers can mitigate feed gaps during less severe periods by using crop residues, thereby reducing the perceived frequency of these gaps.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Proportion of high, medium, and low risks as perceived by herders when associating their perception of climate hazards and feed gaps (FG) by location with contrasting settlement histories <bold>(A)</bold> and by cropping activity <bold>(C)</bold> (&#x3c7;2 &#x3d; 0.03, <italic>P</italic> &#x3d; 0.86) (N &#x3d; 120; 6 respondents with uncertain or incomplete perception responses were excluded), and the proportion of risks as perceived by herders when associating their perception of climate hazards and the frequency of feed gaps (FG frequency) by location with contrasting settlement histories <bold>(B)</bold> and by cropping activity <bold>(D)</bold> (&#x3c7;2 &#x3d; 4.36, <italic>P</italic> &#x3d; 0.04) (N &#x3d; 120). Note: Cropping activity &#x3d; yes, if a herder engages in additional cropping activity; otherwise, no.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="past-16-17299-g003.tif">
<alt-text content-type="machine-generated">Grouped bar chart with four panels compares proportions of high, medium, and low risk related to climate hazard and frequency by location (Bouake and Toumodi) and herders&#x2019; cropping activity (Yes or No). All bars are predominantly high risk (red), with smaller proportions for medium (orange) and low (green), with minimal variation between locations and cropping activity. Chart includes labeled axes, risk color key, and clear group comparisons.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Factors influencing perceptions of climate hazards and feed gaps</title>
<p>According to the logistic regression model outputs (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>), many factors (household information, production system) did not have a significant impact on the probability of the perceptions; however, factors such as location and grazing system significantly or marginally influenced the perception (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). Accordingly, residing in Toumodi was associated with a significantly lower perceived risk of climate hazards (<italic>P</italic> &#x3d; 0.01), and the practice of seasonal grazing marginally decreased the probability of perceiving climate hazards (<italic>P</italic> &#x3d; 0.08) (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). Interestingly, having household help was associated with a decreased likelihood of perceiving a feed gap, although this was not significant (<italic>P</italic> &#x3d; 0.08; <xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). Being in Toumodi significantly influenced farmers&#x2019; perceptions of the occurrence of new diseases affecting livestock production (<italic>P</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). For the given data set, however, McFadden&#x2019;s <italic>Pseudo-R</italic>
<sup>2</sup> indicated that the models for the perception of climate hazards, feed gaps, and the occurrence of new diseases had a moderate fit (0.15&#x2013;0.16), while the model for the frequency of feed gaps had no strong predictive value (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>).</p>
</sec>
<sec id="s3-4">
<title>Feed gaps, challenges, and strategies</title>
<p>The perceived effects of feed gaps and current coping strategies were plotted to assess differences between locations (<xref ref-type="fig" rid="F4">Figure 4</xref>), which could clearly be linked to the settlement history. The perceived effects of feed gaps ranged from animal physiology (e.g., body weight loss, which may occur frequently) to management and farm economics (e.g., premature sales of animals at reduced prices) (<xref ref-type="fig" rid="F4">Figure 4</xref>). The perception of animal body weight loss did not differ by location (<italic>P</italic> &#x3e; 0.05). Nearly 100% of farmers in both locations reported this effect, indicating a longer-term impact on overall farm productivity. Among non-pastoral Bouak&#xe9; herders, for example, the effects of feed gaps may be harsh, occasionally increasing animal theft due to increased mobility (75%) or leading to animal mortality (&#x3e;50% of farmers). In Toumodi, the impacts are often negligible or moderate, except for milk reduction, which was considered a significant effect reported by all herders (<xref ref-type="fig" rid="F4">Figure 4</xref>, <italic>P</italic> &#x3c; 0.01). In general, financial losses were also perceived as significant in Bouake, as herders are quick to destock and sell livestock at reduced prices during periods of severe feed gaps to avoid mortality (<italic>P</italic> &#x3c; 0.01, <xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Cattle herders&#x2019; perceptions of how feed gaps affect livestock production and the coping strategies they currently use across the two locations. The bar plots indicate the percentage of total farmers. The letters denote significant differences at <italic>P</italic> &#x3c; 0.05 for each perception.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="past-16-17299-g004.tif">
<alt-text content-type="machine-generated">Bar chart comparing the perceived impact of feed gap and farmers&#x2019; strategies between Bouak&#xE9; and Toumodi. Bouak&#xE9; shows higher percentages for destocking, reduced price, increased animal mortality, increased animal theft, reduced milk yield, and animal weight loss as impacts, and for continuous grazing system, crop residue management, commercial feed purchase, and strategic livestock sale as strategies. Toumodi reports higher increased herd mobility. Different letters above bars indicate statistically significant differences.</alt-text>
</graphic>
</fig>
<p>Our results further indicate that cattle herders employed a range of coping strategies to address feed gaps. The most common strategies included increasing livestock mobility to seek pasture, such as through national transhumance (i.e., different forms of transhumance taking place within the country of origin), and using crop residues as feed. These strategies vary between the two locations (<italic>P</italic> &#x3c; 0.05). In Toumodi, where herders have a history of pastoralism, mobility increased significantly (76.9%). Meanwhile, the use of crop residues as additional feed is significantly higher in Bouak&#xe9; (56.7%) than in Toumodi (10.8%), despite the presence of agro-pastoralists in Toumodi. This discrepancy largely reflects a management strategy in which collecting crop residues, forages, or tree leaves as feed was more common as a preventive measure than growing fodder crops specifically for this purpose. In Bouak&#xe9;, 44% of herders practiced year-round continuous grazing (<xref ref-type="table" rid="T1">Table 1</xref>), and most supplemented their animals with crop residues (57%) to mitigate feed gaps. Therefore, the combination of year-round grazing and residue supplementation was the dominant strategy in Bouak&#xe9;. Meanwhile, in Toumodi, increasing mobility to better manage animals was the most common strategy. Nevertheless, other less common coping strategies among farmers included purchasing feed, selling livestock (destocking), and feeding specific tree leaves.</p>
<p>Additionally, herders described potential innovative strategies and specific management techniques that could be improved to reduce climate risk. Herders reported strengthening the association of cattle breeders (98%) to promote and coordinate programs for livestock breed improvement, thereby increasing profitability and system performance. The use of paddocks for pasture rotation (57%) and the utilization of forages adapted to drought (38%) were relatively common among herders (<xref ref-type="fig" rid="F5">Figure 5</xref>). In this respect, cattle herders aim to manage pastures effectively to prevent uncontrolled grazing and, by using drought-resistant forage, potentially extend the grazing season.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Herders&#x2019; technology or management awareness to potentially cope with feed gaps amid climate uncertainties. The bar plots indicate the percentage of total farmers under <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</ext-link>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="past-16-17299-g005.tif">
<alt-text content-type="machine-generated">Horizontal bar chart showing the percentage of farmers who have not adopted various strategies. Most farmers have not joined cooperative membership, practiced paddock management, or used drought-resistant forages, while very few have avoided other strategies, government aid, or digital monitoring.</alt-text>
</graphic>
</fig>
<p>Moreover, an exploratory latent class analysis of coping and innovative adaptation strategies identified three classes of herders (BIC &#x3d; 1280.9; <xref ref-type="fig" rid="F6">Figure 6</xref>). Class 1 (N &#x3d; 62, of which 61 are from Toumodi) relies heavily on mobility (78%) but has limited crop residue management (11%), with relatively high intent for the utilization of paddocks (75%) and drought-resistant forage (76%). Meanwhile, Class 2 (N &#x3d; 28, of which 25 are from Bouak&#xe9;) is characterized by reliance on continuous grazing (100%) and relatively higher destocking (20%), but also engages in mobility (90%) and reports high use of national transhumance (47%). However, awareness of drought-resistant forages (6%) and adapted livestock breeds (12%) as management strategies to address feed gaps was low, although nearly 25% of herders were interested in using paddocks for rotational grazing. Class 3 (N &#x3d; 34, all herders from Bouak&#xe9;), by contrast, is characterized by continuous grazing (99%) and feeding on crop residues (97%), with low mobility (11%). In class 3, the standout innovative management strategy for the herders is implementing paddocks for rotational grazing (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Latent classes combining herders&#x2019; strategies and new management intentions. The bar plots indicate the probability of adopting each strategy within each latent class. Ranked from top to bottom: herders and breeders association/cooperative, Continuous grazing, increased herd mobility, use of paddocks, utilization of crop residues, planted drought-resistant forages, transhumance, livestock breeds adapted to drought, destocking, feed purchase, digital tools for monitoring vegetation and animal health, and government aid under <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</ext-link>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="past-16-17299-g006.tif">
<alt-text content-type="machine-generated">Horizontal bar chart showing the probability of adopting various livestock management strategies for three classes in Bouak&#xE9; and Toumodi. Top strategies with highest adoption across most classes include joining cooperative membership and continuous grazing system, while government aid has the lowest probability. Color legend distinguishes Class 1 (darkest brown: mostly Toumodi), Class 2 (medium brown: mostly Bouak&#xE9;), and Class 3 (lightest brown: only Bouak&#xE9;). Probability is shown as a percentage along the x-axis.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present study evaluated cattle herders&#x2019; risk perceptions and management strategies in response to climate variability in central C&#xf4;te d&#x2019;Ivoire. The findings for the locations, i.e., Bouak&#xe9; and Toumodi, reflect the two sedentary production systems with contrasting settlement histories (non-pastoral and pastoral, respectively). Three main results support settlement history and pastoral tradition as the most parsimonious explanation for the specific contrasts: (i) the consistent divergence in respondent geographic origin (<xref ref-type="table" rid="T1">Table 1</xref>); (ii) the location-specific herd mobility, transhumance use, and disease-risk perception; and (iii) the similarities between our findings and independent studies of pastoral mobility and sedentarization elsewhere in West Africa&#x2019;s Sudano-Guinean zone (<xref ref-type="bibr" rid="B41">Koutchoro et al., 2025</xref>; <xref ref-type="bibr" rid="B62">Tidjani et al., 2025</xref>). In effect, our results suggest that herders commonly perceived rising temperature and variable rainfall patterns. Most herders reported more frequent feed gaps and new diseases (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). Herders&#x2019; observed impacts of feed gaps ranged from negative effects on animal physiology to impacts on farm management and economics. Risk assessments, based on the interaction between perceptions of climate hazards and feed gap frequency, showed that herders in Toumodi tended to have a relatively higher proportion of low-risk perceptions. Meanwhile, there were no significant differences between locations in the proportion of high-risk perception, indicating that herders are generally vulnerable regardless of their location, production, or management systems (<xref ref-type="fig" rid="F3">Figure 3</xref>). Moreover, this location effect on low-risk perception reflects the specific interaction between climate-hazard perception and feed-gap frequency, whereas a comparison of feed-gap frequency did not differ significantly between locations (86.7% vs. 88.9%, <italic>P</italic> &#x3d; 0.920; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<sec id="s4-1">
<title>A livestock production system at high risk</title>
<p>Generally, farmers in West Africa are aware of climate change, which is often perceived as weather variability (<xref ref-type="bibr" rid="B3">Amadou et al., 2022</xref>; <xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist, 2015</xref>; <xref ref-type="bibr" rid="B22">Djakpa et al., 2024</xref>; <xref ref-type="bibr" rid="B38">Kima et al., 2015</xref>). With respect to the Sudano-Guinean zone <xref ref-type="bibr" rid="B60">Thompson and Amos (2017)</xref> found a higher perception of increasing temperatures as well as seasons of increased rainfall breaks (<xref ref-type="bibr" rid="B60">Thompson and Amos, 2017</xref>). Therefore, herders&#x2019; perception of changes in rainfall patterns and increased temperatures as the main climate-related hazards (<xref ref-type="table" rid="T2">Table 2</xref>) is consistent with the literature. However, regarding perceptions of rainfall changes, herders at both locations reported a strong perception of increased rainfall breaks. Our rainfall trend results (<xref ref-type="sec" rid="s13">Supplementary Table S3</xref>) did not support this finding; instead, they showed an overall increase in rainfall, except in Bouak&#xe9;, where we observed a slight decrease between April and July. This discrepancy between perception and observation is justified because the rainfall data (<xref ref-type="sec" rid="s13">Supplementary Table S3</xref>) capture changes in total monthly and seasonal rainfall amounts, whereas herders&#x2019; perceptions mostly reflect changes in the intra-seasonal distribution. This means that any temporal irregularity of rainfall, specifically the occurrence of dry spells (e.g., late rainy season), would be perceived as &#x201c;increased rainfall breaks&#x201d;. This distinction, whereby farmers in Sub-saharan Africa (SSA) assess rainfall variability as within-season dry spells, is well-documented in the climate perception literature in SSA (<xref ref-type="bibr" rid="B3">Amadou et al., 2022</xref>; <xref ref-type="bibr" rid="B12">Bodji et al., 2017</xref>; <xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist, 2015</xref>; <xref ref-type="bibr" rid="B34">Huet et al., 2020</xref>), and in C&#xf4;te d&#x2019;Ivoire, it has been associated with the recognition of unpredictable rainfall patterns, rather than rainfall amounts (<xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist, 2015</xref>). Consequently, even a year with above-average total rainfall may include prolonged intra-seasonal dry spells that reduce soil water availability and pasture growth, all of which may directly trigger livestock feed gaps. On the other hand, we noted an increase in mean temperatures that aligns with herders&#x2019; observations. Recent climate studies on rainfall and temperature trends in West Africa also reported extreme weather variability (<xref ref-type="bibr" rid="B27">Efon et al., 2023</xref>; <xref ref-type="bibr" rid="B38">Kima et al., 2015</xref>; <xref ref-type="bibr" rid="B57">Tefera et al., 2025</xref>). <xref ref-type="bibr" rid="B57">Tefera et al. (2025)</xref> showed that in Ghana and Burkina Faso, temperature and rainfall increased between 1881 and 2021, confirming broader global climate change patterns (<xref ref-type="bibr" rid="B56">Tabari, 2020</xref>). Furthermore, higher temperatures directly affect surface water availability through evaporation, which can influence farmers&#x2019; risk perceptions. Some effects of increased temperature on livestock have been thoroughly discussed in the literature. These include decreased quantity and quality of feed resources, reduced milk yield, body weight loss, reduced reproductive performance, and disease (<xref ref-type="bibr" rid="B31">Godde et al., 2021</xref>; <xref ref-type="bibr" rid="B50">Moore et al., 2009</xref>; <xref ref-type="bibr" rid="B53">Rojas-Downing et al., 2017</xref>; <xref ref-type="bibr" rid="B61">Thornton et al., 2009</xref>). Notably, perceptions of increased mean temperature were significantly more common in Bouak&#xe9; than in Toumodi (93.3% vs. 72.7%, P &#x3d; 0.002; <xref ref-type="table" rid="T2">Table 2</xref>), consistent with the effect of location on the climate-hazard-perception outcome in the regression model (<italic>P</italic> &#x3d; 0.01; <xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). In contrast, perceived increases in rainfall breaks did not differ significantly between the two locations (90.0% vs. 97.0%, <italic>P</italic> &#x3d; 0.150; <xref ref-type="table" rid="T2">Table 2</xref>), suggesting a shared concern over intra-seasonal rainfall distribution regardless of settlement history. In effect, our results showed that risk perceptions associated with feed gaps were similar across the two locations, with negative implications for sedentary herding (<xref ref-type="fig" rid="F3">Figures 3A,C</xref>).</p>
<p>In contrast, the perceived frequency of feed gaps and their impacts on cattle differed between Bouak&#xe9; and Toumodi (<xref ref-type="fig" rid="F4">Figure 4</xref>), suggesting a strong effect of the local environment and farm type/management. Our logistic regression outputs reinforce this, showing that location and management rank above socioeconomic factors (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). First, the results suggest that residing in Toumodi significantly decreased the probability of perceiving climate hazards (<italic>P</italic> &#x3d; 0.01); simultaneously, herders in Toumodi recorded the highest perception of new livestock diseases (81.8% vs. 50.0% in Bouak&#xe9;, &#x3c7;2 &#x3d; 14.32, P &#x3c; 0.01; <xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). This finding appears paradoxical, but the two locations differ in management and adaptive capacity. Herders in Toumodi possess larger herds (&#x223c;114 vs. 56 TLU), greater herding experience embedded in mobility strategies, and are considerably more reliant on livestock as their primary economic activity (89.2% vs. 48.3% in Bouak&#xe9;, <xref ref-type="table" rid="T1">Table 1</xref>). In effect, their lower climate risk perception may be linked to their greater control over feed resources, likely achieved through seasonal mobility. Greater herd mobility can also provide herders more opportunistic access to spatially and temporally variable natural resources, thereby buffering the impacts of seasonal food shortages (<xref ref-type="bibr" rid="B5">Ayantunde et al., 2014</xref>). In Bouak&#xe9;, increasing urbanization has led to a gradual decrease of peri-urban grazing areas and might therefore limit farmers opportunities to access grazing resources within the area (<xref ref-type="bibr" rid="B8">Bamba et al., 2025</xref>). The availability of feed resources, and therefore also the occurrence of feed gaps, partly depends on the season but also on the types of crops grown in the area (<xref ref-type="bibr" rid="B67">Umutoni et al., 2015</xref>). As in this study no feed samples were analyzed, it is not possible to test whether the type of crops growing in the study area and thus the feed values are significantly different between the sites. In addition, although this finding was not statistically significant, a greater proportion of livestock herders from Toumod are also practicing crop production. According to <xref ref-type="bibr" rid="B43">Lamega et al. (2021)</xref>, additional crop production has shown to decrease the effect of feed gaps. However, moving herds across landscapes in search of pasture exposes animals to new disease environments, thereby increasing the likelihood of new disease emergence. However, <xref ref-type="bibr" rid="B22">Djakpa et al. (2024)</xref> reported that transhumant herders did not perceive a significant increase in the incidence of new diseases due to climate change in northern Benin. In a similar context, <xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist (2015)</xref>, in Korhogo (Nord C&#xf4;te d&#x2019;Ivoire) and Toumodi (central C&#xf4;te d&#x2019;Ivoire), found that farmers attributed pest and disease outbreaks to climate change, consistent with our results.</p>
<p>Second, the marginal effects of seasonal grazing and having household help (farm help) also support the distinct adaptive capacity of farming households. Therefore, herders who practice seasonal rather than year-round grazing could actively manage pasture access, thereby buffering against feed shortages that drive perceptions of climate change. Meanwhile, having household help enables cut-and-carry feeding practices that potentially decouple animals from direct feed stress during dry periods. The results further indicate that in the central CIV context, structural production systems, e.g., location, settlement history, grazing system, and access to labour, rather than socioeconomic factors, shape the perceptions of climate risks, although socioeconomic factors may also play a role (<xref ref-type="bibr" rid="B19">Dang et al., 2019</xref>; <xref ref-type="bibr" rid="B45">Menghistu et al., 2020</xref>; <xref ref-type="bibr" rid="B58">Tetteh et al., 2023</xref>).</p>
</sec>
<sec id="s4-2">
<title>Managing feed gaps and implications of this study</title>
<p>Despite differences in the perceived climate hazards and impacts on cattle, our results showed no clear difference in high-risk perception across locations (<xref ref-type="fig" rid="F3">Figure 3</xref>). In reality, our results suggest that high-risk perception means herders face significant climatic threats to livestock production in central C&#xf4;te d&#x2019;Ivoire.</p>
<p>Nevertheless, farmers&#x2019; perceptions of climate threats can differ across locations, as shown by <xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist (2015)</xref>, due to local environmental and socioeconomic conditions.</p>
<p>In the present study, we focus on cattle herders and perceived climate risks related to forage availability, which may limit consideration of perceived impacts on other aspects of the farming systems. A critical challenge that herders face in SSA is the feed gap, projected to worsen due to climate uncertainties (<xref ref-type="bibr" rid="B25">Duguma and Janssens, 2021</xref>; <xref ref-type="bibr" rid="B37">Karimi et al., 2018</xref>; <xref ref-type="bibr" rid="B38">Kima et al., 2015</xref>; <xref ref-type="bibr" rid="B42">Lamega et al., 2024</xref>; <xref ref-type="bibr" rid="B70">Zougmor&#xe9; et al., 2016</xref>). Interestingly, the potential for a low-risk perception increased in Toumodi, possibly because nearly a third of herders (32.8%; <xref ref-type="table" rid="T1">Table 1</xref>) are agro-pastoralists who cultivate crops primarily as an alternative livelihood. This suggests that engaging in cropping may also help buffer the impact of the feed gap, or rather, periods of low rangeland productivity, consistent with other studies in SSA (<xref ref-type="bibr" rid="B3">Amadou et al., 2022</xref>; <xref ref-type="bibr" rid="B21">Deressa et al., 2011</xref>; <xref ref-type="bibr" rid="B43">Lamega et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Menghistu et al., 2020</xref>; <xref ref-type="bibr" rid="B69">Zampaligr&#xe9; et al., 2019</xref>).</p>
<p>In this regard, two main approaches were identified as strategies against feed gaps. These strategies were: herd mobility or flexibility, which was common among herders in Toumodi, and feeding crop residues, which was notably prevalent among herders in Bouak&#xe9; (<xref ref-type="fig" rid="F4">Figure 4</xref>). However, the results also showed that herders in Toumodi predominantly practice year-round (continuous) grazing of natural pasture (95% vs. 44% in Bouak&#xe9;; <xref ref-type="table" rid="T1">Table 1</xref>); given their comparatively larger herds, this pattern may place additional pressure on rangeland productivity despite their reliance on mobility. The herd sizes recorded here in Toumodi exceed those typically reported for smallholder mixed crop-livestock herds in the West African Sahel, which are usually well under 30 TLU, but are broadly consistent with the larger scale of specialized, market-oriented peri-urban and pastoral cattle-keeping documented elsewhere in the sub-region (<xref ref-type="bibr" rid="B3">Amadou et al., 2022</xref>; <xref ref-type="bibr" rid="B36">Kaimba et al., 2011</xref>). It is well understood that herders across WA primarily rely on natural pasture for livestock feed. Consistent with our study, <xref ref-type="bibr" rid="B55">Sokouri et al. (2014)</xref> found that herders in C&#xf4;te d&#x2019;Ivoire preferred locally adapted breeds, such as Zebu cattle, as an appropriate response to rangeland and environmental degradation because they can withstand high temperatures and suit long walks. Using such breeds supports continuous local grazing or transhumance, i.e., moving animals in search of new pastures and water, even during severe feed gaps. Generally, herders in Toumodi have long developed mobility strategies to maximize access to pasture, as noted by <xref ref-type="bibr" rid="B18">Como&#xe9; and Siegrist (2015)</xref>. This strategy is widespread among pastoralists and semi-pastoralists (<xref ref-type="bibr" rid="B36">Kaimba et al., 2011</xref>), and compared with large herds, small-herd farms are usually less mobile (<xref ref-type="bibr" rid="B33">Houessou et al., 2019</xref>; <xref ref-type="bibr" rid="B36">Kaimba et al., 2011</xref>). Interestingly, although only 6% of Toumodi herders formally keep additional dairy cattle (<xref ref-type="table" rid="T1">Table 1</xref>), even predominantly beef-oriented Zebu herds of pastoral origin are routinely milked for household consumption and local sale in West African pastoral systems (<xref ref-type="bibr" rid="B7">Babo et al., 2022</xref>; <xref ref-type="bibr" rid="B49">Molina-Flores et al., 2020</xref>). As a result, a reduction in forage availability translates directly into perceived milk loss for most herders (<xref ref-type="bibr" rid="B7">Babo et al., 2022</xref>; <xref ref-type="bibr" rid="B49">Molina-Flores et al., 2020</xref>). By contrast, Bouak&#xe9;&#x27;s herders manage smaller, non-mobile, purely beef-oriented herds without this milking tradition, so the same feed gaps instead manifest as acute physical and financial impacts, e.g., animal theft, mortality, and distress sales, rather than milk loss. This adds to the reasons why herders in Toumodi, who have significantly larger herds, adopt increased mobility as an adaptive strategy. Such an approach offers an opportunity to access alternative grazing lands for feed, whereas Bouak&#xe9;&#x27;s herds plausibly buffer feed gaps directly, at the cost of body condition, survival, and forced destocking (<xref ref-type="fig" rid="F4">Figure 4</xref>). However, increased mobility as an adaptation strategy has only limited potential for expansion, as land-use conflicts remain a major challenge for livestock production in WA (<xref ref-type="bibr" rid="B63">Timpong-Jones et al., 2023</xref>; <xref ref-type="bibr" rid="B66">Turner and Schlecht, 2019</xref>). In contrast, livestock farmers in the Sudano-Guinean zone and the Sudanian zone in Benin, where land-use conflicts also constrain pastoral mobility, predominantly perceived sedentarization as a strategy that could increase animal weight and health as well as improve access to feed and water (<xref ref-type="bibr" rid="B62">Tidjani et al., 2025</xref>).</p>
<p>Thus, complementing herd mobility with feeding crop residues was considered an important strategy to address feed gaps, consistent with other studies across similar livestock production systems in Iran (<xref ref-type="bibr" rid="B37">Karimi et al., 2018</xref>), Ethiopia (<xref ref-type="bibr" rid="B17">Bryan et al., 2009</xref>), South Africa (<xref ref-type="bibr" rid="B42">Lamega et al., 2024</xref>), Benin (<xref ref-type="bibr" rid="B41">Koutchoro et al., 2025</xref>), or Senegal (<xref ref-type="bibr" rid="B26">Eeswaran et al., 2022</xref>). Yet, the lower utilization in Toumodi, despite a higher proportion of agro-pastoralists, suggests that the potential of crop-livestock systems remains underexploited. It should be noted that not all crop residues are nutritionally equivalent as supplementary feed. In this paper, crop residues were treated as a general category, without distinguishing between different types of crops. In Benin, for example, <xref ref-type="bibr" rid="B33">Houessou et al. (2019)</xref> argued that the failure of crop-livestock integration, in which forage is grown and provided to animals during dry spells, stems from agro-pastoralists viewing crop cultivation as an alternative source of income rather than as a means of managing livestock risk. Furthermore, in Ethiopia, <xref ref-type="bibr" rid="B1">Abazinab et al. (2022)</xref> showed that, despite mixed crop-livestock systems being ranked as the most important adaptation strategy to climate change by livestock farmers, forage production ranked lowest, mainly due to a lack of knowledge about forage production, a shortage of seeds, and a shortage of land. This is also true for herders in central C&#xf4;te d&#x2019;Ivoire, and as suggested by <xref ref-type="bibr" rid="B55">Sokouri et al. (2014)</xref>, they do not want to grow forage for their animals because they believe that owning local breeds is enough to withstand harsh environmental conditions. As such, destocking to ensure sufficient feed was available was mainly seen as a consequence of climate impacts rather than as a strategy during periods of feed shortages. Interestingly, the latent class analysis (<xref ref-type="fig" rid="F6">Figure 6</xref>) indicates that herders in Bouak&#xe9; are not homogeneous in their coping and adaptation. A subgroup of herders (42%) also relies heavily on mobility and transhumance, strategies more typical of Toumodi. This suggests that some herders may be transitioning away from strictly sedentary systems and calls for targeted management policies.</p>
<p>Currently, some West African countries have climate act plans aimed at improving farmers&#x2019; adaptation strategies in animal husbandry. These investments should help alleviate the pressure on rangelands and decrease dependence on seasonal mobility. In this study, we observed that herders recognize the need to improve pasture management, including the use of drought-resistant forage crops and paddock rotation (<xref ref-type="fig" rid="F5">Figure 5</xref>). Additionally, belonging to a cooperative that supports breeding initiatives and veterinary support may be crucial for sedentarization. Pastoralists and semi-pastoralists prioritize traits that tolerate drought and heat stress (<xref ref-type="bibr" rid="B26">Eeswaran et al., 2022</xref>), a priority that can be supported through cooperative efforts. Climate adaptation plans for herders also recognize the specific agroecological context in which they live, as it influences their adaptation measures (<xref ref-type="bibr" rid="B54">Snaibi et al., 2021</xref>; Zampaligr&#xe9; et al., 2014). Therefore, promoting the development of institutions, facilitating and empowering participatory approaches could be a first entry point for managing grazing resources for herders in central C&#xf4;te d&#x2019;Ivoire.</p>
</sec>
</sec>
<sec id="s5">
<title>Limitations of the study and future perspectives</title>
<p>Although the sample size (N &#x3d; 126) and the cross-sectional design were appropriate for this study, they may have limited statistical power to detect socio-economic effects and may have prevented causal inference regarding the relationships among perception, coping strategies, and risk outcomes. Furthermore, we collected the sample through snowball sampling, prioritizing contrasting settlement histories; therefore, our findings should be considered indicative of the sampled communities rather than fully representative of all sedentary cattle-farming households in central C&#xf4;te d&#x2019;Ivoire. Future research involving a survey across diverse locations along the Sahel-Sudanian gradient, covering the full range of agro-ecological conditions, location dynamics, and settlement histories, could enhance understanding of perceived risk patterns and lead to more robust conclusions. In addition, the questionnaire did not record herd sex or age structure, so we cannot verify the proportion of breeding females, young stock, and males within the reported herd sizes at each location. West African cattle herds, including those of pastoral origin, are typically managed as breeding (cow-calf) herds in which female animals dominate and underpin milk production, herd growth, and long-term wealth accumulation, rather than as feedlot-style herds of marketed males (<xref ref-type="bibr" rid="B3">Amadou et al., 2022</xref>; <xref ref-type="bibr" rid="B7">Babo et al., 2022</xref>). Consequently, include this composition distinction in future surveys could prove interesting to capture the specific role of female animals but also of the women who are often responsible for their management and milk processing, and small ruminants even in male-headed pastoral households (<xref ref-type="bibr" rid="B7">Babo et al., 2022</xref>).</p>
<p>Moreover, future research exploring the types of crop residues prevalent in the area and cattle management practices could provide deeper insights into cattle production systems in central C&#xf4;te d&#x2019;Ivoire.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>Conclusion</title>
<p>This study offers an initial assessment of cattle herders&#x2019; perceptions of climate hazards and their perceived impacts, comparing two locations with different settlement histories to evaluate risks. We demonstrated that the settlement and husbandry history, and the grazing system, were the main drivers of risk perception, supporting our hypothesis that the local agroecological context and settlement history shape how herders experience and respond to climate uncertainty. However, climate-hazard perception only marginally supported the hypothesis, as perceived rainfall breaks did not differ across locations. This is because the frequency of feed gaps is primarily driven by stochastic weather fluctuations, underscoring the unpredictability of climate-related risks to livestock feed among sedentary herders in central CIV. Therefore, while promoting sedentarization, livestock development policies must be reconciled with the reality that seasonal herd mobility remains essential as a coping mechanism, particularly in Toumodi, where herders have a pastoral history. Moreover, improving small-scale communal water points and infrastructure would likely reduce herd mobility and the associated disease risk. Given that agro-pastoralists tend to perceive lower climate-related risk, policies should actively support crop-livestock integration in central CIV, including subsidizing fodder crop production and crop residue management infrastructure for non-pastoral herders in Bouak&#xe9;. Integrating bioclimate indicators or satellite-derived vegetation indices (NDVI) alongside farmer perceptions would help disentangle actual climate exposure from perceived climate risk and further strengthen the evidence base for climate-resilient policy targeting. In effect, this study lays the foundation for future research in comparable settings and recommends multi-site designs that explicitly distinguish settlement history from factors like market access and urban proximity; additionally, it gathers data on herd sex and age structure, as well as quantitative feed-balance information, alongside perception surveys. Overall, our findings suggest that climate policies must acknowledge the ongoing, functional importance of herd mobility even among those who are settled.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s8">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies involving humans because the research involved a questionnaire-based survey of livestock farmers and did not involve the collection or analysis of human biological samples or any medical or physical interventions. The study was conducted in accordance with applicable local legislation and institutional requirements. Participation was voluntary, and written informed consent was obtained from all participants prior to data collection. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s9">
<title>Author contributions</title>
<p>TE, SL, A-JN&#x2019;G, and JI conceptualized and designed the study. TE, A-JN&#x2019;G, AA, and FK conducted field data collection. TE analyzed and drafted the manuscript. SL, A-JN&#x2019;G, AA, FK, and JI edited and reviewed the manuscript. SL provided supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s11">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s12">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontierspartnerships.org/articles/10.3389/past.2026.17299/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/past.2026.17299/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table3.docx" id="SM3" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abazinab</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Duguma</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Muleta</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Livestock farmers&#x2019; perception of climate change and adaptation strategies in the gera district, jimma zone, Oromia regional state, southwest Ethiopia</article-title>. <source>Heliyon</source> <volume>8</volume> (<issue>12</issue>), <fpage>e12200</fpage>. <pub-id pub-id-type="doi">10.1016/j.heliyon.2022.e12200</pub-id>
<pub-id pub-id-type="pmid">36531631</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abebe</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Yesigat</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Afesha</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Fedilu</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Girma</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Abayneh</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2025</year>). <article-title>Livestock marketing practices and determinants of livestock market supply among pastoralists and agro-pastoralists in the arid and semi-arid areas of Ethiopia</article-title>. <source>Pastor. Res. Policy Pract.</source> <volume>15</volume>, <fpage>14402</fpage>. <pub-id pub-id-type="doi">10.3389/past.2025.14402</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Amadou</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Falconnier</surname>
<given-names>G. N.</given-names>
</name>
<name>
<surname>Mamoutou</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Georges</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Alassane</surname>
<given-names>B. A.</given-names>
</name>
<name>
<surname>Fran&#xe7;ois</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Farmers&#x2019; perception and adaptation strategies to climate change in central Mali</article-title>. <source>Weather, Clim. Soc.</source> <volume>14</volume> (<issue>1</issue>), <fpage>95</fpage>&#x2013;<lpage>112</lpage>. <pub-id pub-id-type="doi">10.1175/WCAS-D-21-0003.1</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Amoah</surname>
<given-names>E. A.</given-names>
</name>
<name>
<surname>Bloomer</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Campbell</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Beyond resource scarcity: developing an integrated framework for analysing farmer-herder conflicts in the global south</article-title>. <source>Pastor. Res. Policy Pract.</source> <volume>15</volume>, <fpage>15245</fpage>. <pub-id pub-id-type="doi">10.3389/past.2025.15245</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ayantunde</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Asse</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Said</surname>
<given-names>M. Y.</given-names>
</name>
<name>
<surname>Fall</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Transhumant pastoralism, sustainable management of natural resources and endemic ruminant livestock in the sub-humid zone of West Africa</article-title>. <source>Environ. Dev. Sustain.</source> <volume>16</volume>, <fpage>1097</fpage>&#x2013;<lpage>1117</lpage>. <pub-id pub-id-type="doi">10.1007/s10668-014-9515-z</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ayantunde</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Oluwatosin</surname>
<given-names>B. O.</given-names>
</name>
<name>
<surname>Yameogo</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>van Wijk</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Perceived benefits, constraints and determinants of sustainable intensification of mixed crop and livestock systems in the Sahelian zone of Burkina Faso</article-title>. <source>Int. J. Agric. Sustain.</source> <volume>18</volume> (<issue>1</issue>), <fpage>84</fpage>&#x2013;<lpage>98</lpage>. <pub-id pub-id-type="doi">10.1080/14735903.2019.1698494</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Babo</surname>
<given-names>S. A. Y.</given-names>
</name>
<name>
<surname>Fokou</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Yapi</surname>
<given-names>R. B.</given-names>
</name>
<name>
<surname>Mathew</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Dayoro</surname>
<given-names>A. K.</given-names>
</name>
<name>
<surname>Kazwala</surname>
<given-names>R. R.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Gendered asymmetry of access to knowledge for brucellosis control among pastoral communities in north-west C&#xf4;te d&#x2019;ivoire</article-title>. <source>Pastoralism</source> <volume>12</volume> (<issue>1</issue>), <fpage>28</fpage>. <pub-id pub-id-type="doi">10.1186/s13570-022-00241-9</pub-id>
<pub-id pub-id-type="pmid">35761971</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bamba</surname>
<given-names>L. K.</given-names>
</name>
<name>
<surname>Y&#xe9;o</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Kouadja</surname>
<given-names>G. S.</given-names>
</name>
<name>
<surname>Kouam&#xe9;</surname>
<given-names>A. C.</given-names>
</name>
<name>
<surname>Kouadio</surname>
<given-names>K. E.</given-names>
</name>
<name>
<surname>Kreman</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Distribution of bovine haemoparasites in the peri-urban area of bouak&#xe9; in C&#xf4;te d&#x2019;ivoire</article-title>. <source>J. Biosci. Med.</source> <volume>13</volume> (<issue>9</issue>), <fpage>183</fpage>&#x2013;<lpage>194</lpage>. <pub-id pub-id-type="doi">10.4236/jbm.2025.139016</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Barto&#x144;</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2020</year>). <source>Mumin: Multi-Model Inference (R Package Version 1.43.17)</source>. <publisher-name>Comprehensive R Archive Network</publisher-name>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://CRAN.R-project.org/package=MuMIn">https://CRAN.R-project.org/package&#x3d;MuMIn</ext-link> (Accessed September 17, 2026)</comment>.</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bassett</surname>
<given-names>T. J.</given-names>
</name>
<name>
<surname>Turner</surname>
<given-names>M. D.</given-names>
</name>
</person-group> (<year>2007</year>). <article-title>Sudden shift or migratory drift? FulBe herd movements to the sudano-guinean region of West Africa</article-title>. <source>Hum. Ecol.</source> <volume>35</volume> (<issue>1</issue>), <fpage>33</fpage>&#x2013;<lpage>49</lpage>. <pub-id pub-id-type="doi">10.1007/s10745-006-9067-4</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Bernadet</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>1988</year>). <source>
<italic>Vache De La Houe, Vache De La Dot: &#xc9;levage Bovin Et Rapports De Productionen Moyenne Et Haute C&#xf4;te D&#x2019;Ivoire</italic>
</source>. <publisher-name>Paris, &#xc8;ditions du Centre National de la Recherche Scientifique</publisher-name>.</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bodji</surname>
<given-names>N. C.</given-names>
</name>
<name>
<surname>Koutouan</surname>
<given-names>P. F.</given-names>
</name>
<name>
<surname>Kouadio</surname>
<given-names>K. B.</given-names>
</name>
<name>
<surname>Traor&#xe9;</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Wandan</surname>
<given-names>E. N.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>The perception of climate change and coping strategies among rural farming households in bouafl&#xe9; area, C&#xf4;te d&#x2019;ivoire</article-title>. <source>Int. J. Dev. Res.</source> <volume>7</volume> (<issue>7</issue>), <fpage>13753</fpage>&#x2013;<lpage>13759</lpage>.</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Bonnefond</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>1969</year>). <source>Notes Sur Les Zones De D&#xe9;veloppement De Brobo Et De Diabo (Document De Travail, Sciences Humaines, Vol. II, No. 3)</source>. <publisher-name>Abidjan: Office de la Recherche Scientifique et Technique Outre-Mer, Centre de Petit-Bassam</publisher-name>.</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bonny</surname>
<given-names>B. S.</given-names>
</name>
<name>
<surname>Adjoumani</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Seka</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Koffi</surname>
<given-names>K. G.</given-names>
</name>
<name>
<surname>Kouonon</surname>
<given-names>L. C.</given-names>
</name>
<name>
<surname>Koffi</surname>
<given-names>K. K.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Agromorphological divergence among four agro-ecological populations of Bambara groundnut (Vigna subterranea (L.) verdc.) in C&#xf4;te d&#x2019;ivoire</article-title>. <source>Ann. Agric. Sci.</source> <volume>64</volume> (<issue>1</issue>), <fpage>103</fpage>&#x2013;<lpage>111</lpage>. <pub-id pub-id-type="doi">10.1016/j.aoas.2019.04.001</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bosson</surname>
<given-names>A. N.</given-names>
</name>
<name>
<surname>Coulibaly</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Silue</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Konan Gboko</surname>
<given-names>B. G.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Constraints to the development of sedentary cattle farming in the district of Denguele, in the north-west of C&#xf4;te d&#x2019;ivoire</article-title>. <source>Multidiscip. Int. J. Res. Dev.</source> <volume>2</volume> (<issue>1</issue>), <fpage>23</fpage>&#x2013;<lpage>32</lpage>.</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Brooks</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2003</year>). <source>Vulnerability, Risk and Adaptation: A Conceptual Framework (Tyndall Centre for Climate Change Research Working Paper 38)</source>. <comment>Norwich, United Kingdom: Tyndall Centre for Climate Change Research</comment>, <publisher-name>University of East Anglia</publisher-name>.</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bryan</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Deressa</surname>
<given-names>T. T.</given-names>
</name>
<name>
<surname>Gbetibouo</surname>
<given-names>G. A.</given-names>
</name>
<name>
<surname>Ringler</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>Adaptation to climate change in Ethiopia and South Africa: options and constraints</article-title>. <source>Environ. Sci. Policy</source> <volume>12</volume> (<issue>4</issue>), <fpage>413</fpage>&#x2013;<lpage>426</lpage>. <pub-id pub-id-type="doi">10.1016/j.envsci.2008.11.002</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Como&#xe9;</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Siegrist</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Relevant drivers of farmers&#x2019; decision behavior regarding their adaptation to climate change: a case study of two regions in C&#xf4;te d&#x2019;ivoire</article-title>. <source>Mitig. Adapt. Strategies Glob. Change</source> <volume>20</volume> (<issue>2</issue>), <fpage>179</fpage>&#x2013;<lpage>199</lpage>. <pub-id pub-id-type="doi">10.1007/s11027-013-9486-7</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dang</surname>
<given-names>H. L.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Nuberg</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Bruwer</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Factors influencing the adaptation of farmers in response to climate change: a review</article-title>. <source>Clim. Dev.</source> <volume>11</volume> (<issue>9</issue>), <fpage>765</fpage>&#x2013;<lpage>774</lpage>. <pub-id pub-id-type="doi">10.1080/17565529.2018.1562866</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Deressa</surname>
<given-names>T. T.</given-names>
</name>
<name>
<surname>Hassan</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Alemu</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Yesuf</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Ringler</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2008</year>). <source>Analyzing the Determinants of Farmers&#x2019; Choice of Adaptation Methods and Perceptions of Climate Change in the Nile Basin of Ethiopia (IFPRI Discussion Paper 798)</source>. <publisher-name>Washington, DC: International Food Policy Research Institute</publisher-name>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://hdl.handle.net/10568/21517">https://hdl.handle.net/10568/21517</ext-link> (Accessed September 17, 2026)</comment>.</mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deressa</surname>
<given-names>T. T.</given-names>
</name>
<name>
<surname>Hassan</surname>
<given-names>R. M.</given-names>
</name>
<name>
<surname>Ringler</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Perception of and adaptation to climate change by farmers in the nile basin of Ethiopia</article-title>. <source>J. Agric. Sci.</source> <volume>149</volume> (<issue>1</issue>), <fpage>23</fpage>&#x2013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1017/S0021859610000687</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Djakpa</surname>
<given-names>M. G.</given-names>
</name>
<name>
<surname>Egah</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Degla</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Adaptation to climate change among transhumant herders: evidences from northern Benin (west Africa)</article-title>. <source>Front. Sustain. Food Syst.</source> <volume>8</volume>, <fpage>1426771</fpage>. <pub-id pub-id-type="doi">10.3389/fsufs.2024.1426771</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Djezou</surname>
<given-names>W. B.</given-names>
</name>
<name>
<surname>N&#x2019;Goran</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Climate change adaptation mechanisms for smallholder farmers in C&#xf4;te d&#x2019;ivoire</article-title>. <source>Asian J. Agric. Ext. Econ. and Sociol.</source> <volume>42</volume> (<issue>11</issue>), <fpage>263</fpage>&#x2013;<lpage>283</lpage>. <pub-id pub-id-type="doi">10.9734/ajaees/2024/v42i112612</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Douxchamps</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Van Wijk</surname>
<given-names>M. T.</given-names>
</name>
<name>
<surname>Silvestri</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Moussa</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Quiros</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Ndour</surname>
<given-names>N. Y. B.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Linking agricultural adaptation strategies, food security and vulnerability: evidence from West Africa</article-title>. <source>Reg. Environ. Change</source> <volume>16</volume> (<issue>5</issue>), <fpage>1305</fpage>&#x2013;<lpage>1317</lpage>. <pub-id pub-id-type="doi">10.1007/s10113-015-0838-6</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Duguma</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Janssens</surname>
<given-names>G. P. J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Assessment of livestock feed resources and coping strategies with dry season feed scarcity in mixed crop&#x2013;livestock farming systems around the gilgel gibe catchment, southwest Ethiopia</article-title>. <source>Sustainability</source> <volume>13</volume> (<issue>19</issue>), <fpage>10713</fpage>. <pub-id pub-id-type="doi">10.3390/su131910713</pub-id>
</mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eeswaran</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Nejadhashemi</surname>
<given-names>A. P.</given-names>
</name>
<name>
<surname>Faye</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Min</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Prasad</surname>
<given-names>P. V. V.</given-names>
</name>
<name>
<surname>Ciampitti</surname>
<given-names>I. A.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Current and future challenges and opportunities for livestock farming in West Africa: perspectives from the case of Senegal</article-title>. <source>Agronomy</source> <volume>12</volume> (<issue>8</issue>), <fpage>1818</fpage>. <pub-id pub-id-type="doi">10.3390/agronomy12081818</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Efon</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Ngongang</surname>
<given-names>R. D.</given-names>
</name>
<name>
<surname>Meukaleuni</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Wandjie</surname>
<given-names>B. B. S.</given-names>
</name>
<name>
<surname>Zebaze</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Lenouo</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2023</year>). <article-title>Monthly, seasonal, and annual variations of precipitation and runoff over west and Central Africa using remote sensing and climate reanalysis</article-title>. <source>Earth Syst. Environ.</source> <volume>7</volume> (<issue>1</issue>), <fpage>67</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1007/s41748-022-00326-w</pub-id>
</mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>&#xc9;tienne</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>1971</year>). <source>Le Fait Villageois Baoul&#xe9;</source>. <publisher-name>Abidjan: Centre ORSTOM de Petit-Bassam</publisher-name>.</mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Fern&#xe1;ndez-Rivera</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Okike</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Manyong</surname>
<given-names>V. M.</given-names>
</name>
<name>
<surname>Williams</surname>
<given-names>T. O.</given-names>
</name>
<name>
<surname>Kruska</surname>
<given-names>R. L.</given-names>
</name>
<name>
<surname>Tarawali</surname>
<given-names>S. A.</given-names>
</name>
</person-group> (<year>2004</year>). <source>Classification and description of the major farming systems incorporating ruminant livestock in West Africa [Conference paper]</source>. <publisher-name>Nairobi, Kenya/Wageningen, Netherlands: International Livestock Research Institute</publisher-name>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://hdl.handle.net/10568/50278">https://hdl.handle.net/10568/50278</ext-link> (Accessed September 17, 2026)</comment>.</mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fortes-Lima</surname>
<given-names>C. A.</given-names>
</name>
<name>
<surname>Diallo</surname>
<given-names>M. Y.</given-names>
</name>
<name>
<surname>Janou&#x161;ek</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>&#x10c;ern&#xfd;</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Schlebusch</surname>
<given-names>C. M.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Population history and admixture of the fulani people from the Sahel</article-title>. <source>Am. J. Hum. Genet.</source> <volume>112</volume> (<issue>2</issue>), <fpage>261</fpage>&#x2013;<lpage>275</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajhg.2024.12.015</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Godde</surname>
<given-names>C. M.</given-names>
</name>
<name>
<surname>Mason-D&#x2019;Croz</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Mayberry</surname>
<given-names>D. E.</given-names>
</name>
<name>
<surname>Thornton</surname>
<given-names>P. K.</given-names>
</name>
<name>
<surname>Herrero</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Impacts of climate change on the livestock food supply chain; a review of the evidence</article-title>. <source>Glob. Food Secur.</source> <volume>28</volume>, <fpage>100488</fpage>. <pub-id pub-id-type="doi">10.1016/j.gfs.2020.100488</pub-id>
</mixed-citation>
</ref>
<ref id="B32">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gonin</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Gautier</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Shift in herders&#x2019; territorialities from regional to local scale: the political ecology of pastoral herding in Western Burkina Faso</article-title>. <source>Pastoralism</source> <volume>5</volume> (<issue>1</issue>), <fpage>7</fpage>. <pub-id pub-id-type="doi">10.1186/s13570-015-0023-z</pub-id>
</mixed-citation>
</ref>
<ref id="B33">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Houessou</surname>
<given-names>S. O.</given-names>
</name>
<name>
<surname>Dossa</surname>
<given-names>L. H.</given-names>
</name>
<name>
<surname>Diogo</surname>
<given-names>R. V. C.</given-names>
</name>
<name>
<surname>Houinato</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Buerkert</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Schlecht</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Change and continuity in traditional cattle farming systems of West African Coast countries: a case study from Benin</article-title>. <source>Agric. Syst.</source> <volume>168</volume>, <fpage>112</fpage>&#x2013;<lpage>122</lpage>. <pub-id pub-id-type="doi">10.1016/j.agsy.2018.11.003</pub-id>
</mixed-citation>
</ref>
<ref id="B34">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huet</surname>
<given-names>E. K.</given-names>
</name>
<name>
<surname>Adam</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Giller</surname>
<given-names>K. E.</given-names>
</name>
<name>
<surname>Descheemaeker</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Diversity in perception and management of farming risks in southern Mali</article-title>. <source>Agric. Syst.</source> <volume>184</volume>, <fpage>102905</fpage>. <pub-id pub-id-type="doi">10.1016/j.agsy.2020.102905</pub-id>
</mixed-citation>
</ref>
<ref id="B35">
<mixed-citation publication-type="book">
<collab>Intergovernmental Panel on Climate Change</collab> (<year>2022</year>). in <source>Climate Change 2022: Impacts, Adaptation, and Vulnerability: Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change</source>. Editors <person-group person-group-type="editor">
<name>
<surname>P&#xf6;rtner</surname>
<given-names>H.-O.</given-names>
</name>
<name>
<surname>Roberts</surname>
<given-names>D. C.</given-names>
</name>
<name>
<surname>Tignor</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Poloczanska</surname>
<given-names>E. S.</given-names>
</name>
<name>
<surname>Mintenbeck</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Alegr&#xed;a</surname>
<given-names>A.</given-names>
</name>
</person-group> (<publisher-name>Cambridge University Press</publisher-name>). <pub-id pub-id-type="doi">10.1017/9781009325844</pub-id>
</mixed-citation>
</ref>
<ref id="B36">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kaimba</surname>
<given-names>G. K.</given-names>
</name>
<name>
<surname>Njehia</surname>
<given-names>B. K.</given-names>
</name>
<name>
<surname>Guliye</surname>
<given-names>A. Y.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Effects of cattle rustling and household characteristics on migration decisions and herd size amongst pastoralists in Baringo district, Kenya</article-title>. <source>Pastor. Res. Policy Pract.</source> <volume>1</volume> (<issue>1</issue>), <fpage>18</fpage>. <pub-id pub-id-type="doi">10.1186/2041-7136-1-18</pub-id>
</mixed-citation>
</ref>
<ref id="B37">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Karimi</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Karami</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Keshavarz</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Vulnerability and adaptation of livestock producers to climate variability and change</article-title>. <source>Rangel. Ecol. Manag.</source> <volume>71</volume> (<issue>2</issue>), <fpage>175</fpage>&#x2013;<lpage>184</lpage>. <pub-id pub-id-type="doi">10.1016/j.rama.2017.09.006</pub-id>
</mixed-citation>
</ref>
<ref id="B38">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kima</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Okhimamhe</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Kiema</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Zampaligre</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Sule</surname>
<given-names>I.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Adapting to the impacts of climate change in the sub-humid zone of Burkina Faso, West Africa: perceptions of agro-pastoralists</article-title>. <source>Pastoralism</source> <volume>5</volume> (<issue>1</issue>), <fpage>16</fpage>. <pub-id pub-id-type="doi">10.1186/s13570-015-0034-9</pub-id>
</mixed-citation>
</ref>
<ref id="B39">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kongo</surname>
<given-names>V. O.</given-names>
</name>
<name>
<surname>Arreyndip</surname>
<given-names>N. A.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>The 2023 drought in West Africa and associated vulnerability to food insecurity</article-title>. <source>Sci. Rep.</source> <volume>15</volume> (<issue>1</issue>), <fpage>34959</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-025-18940-9</pub-id>
</mixed-citation>
</ref>
<ref id="B40">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kosmidis</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Kenne Pagui</surname>
<given-names>E. C.</given-names>
</name>
<name>
<surname>Sartori</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Mean and median bias reduction in generalized linear models</article-title>. <source>Statistics Comput.</source> <volume>30</volume> (<issue>1</issue>), <fpage>43</fpage>&#x2013;<lpage>59</lpage>. <pub-id pub-id-type="doi">10.1007/s11222-019-09860-6</pub-id>
</mixed-citation>
</ref>
<ref id="B41">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Koutchoro</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Ad&#xe9;chian</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Houessou</surname>
<given-names>L. G.</given-names>
</name>
<name>
<surname>Yaoitcha</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Toure</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Moumouni-Moussa</surname>
<given-names>I.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Pastoral transitions in West Africa: analysis of factors influencing herders&#x2019; sedentarization in northern Benin</article-title>. <source>Pastor. Res. Policy Pract.</source> <volume>15</volume>, <fpage>15199</fpage>. <pub-id pub-id-type="doi">10.3389/past.2025.15199</pub-id>
</mixed-citation>
</ref>
<ref id="B42">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Lamega</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Klinck</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Komainda</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Odhiambo</surname>
<given-names>J. J. O.</given-names>
</name>
<name>
<surname>Ayisi</surname>
<given-names>K. K.</given-names>
</name>
<name>
<surname>Isselstein</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2024</year>). &#x201c;<article-title>Feed gaps among cattle keepers in semiarid and arid southern African regions: a case study in the Limpopo province, South Africa</article-title>,&#x201d; in <source>Sustainability of Southern African Ecosystems Under Global Change: Science for Management and Policy Interventions Ecological Studies</source>. Editors <person-group person-group-type="editor">
<name>
<surname>von Maltitz</surname>
<given-names>G. P.</given-names>
</name>
<name>
<surname>Midgley</surname>
<given-names>G. F.</given-names>
</name>
<name>
<surname>Veitch</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Br&#xfc;mmer</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>R&#xf6;tter</surname>
<given-names>R. P.</given-names>
</name>
<name>
<surname>Viehberg</surname>
<given-names>F. A.</given-names>
</name>
<etal/>
</person-group> (<publisher-name>Springer</publisher-name>), <volume>248</volume>, <fpage>527</fpage>&#x2013;<lpage>550</lpage>. <pub-id pub-id-type="doi">10.1007/978-3-031-10948-5_19</pub-id>
</mixed-citation>
</ref>
<ref id="B43">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lamega</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Komainda</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Paul Hoffmann</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kwabena Ayisi</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Julius Owuor Odhiambo</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Isselstein</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>It depends on the rain: smallholder farmers&#x2019; perceptions on the seasonality of feed gaps and how it affects livestock in semi-arid and arid regions</article-title>. <source>Clim. Risk Manag.</source> <volume>34</volume>, <fpage>100362</fpage>. <pub-id pub-id-type="doi">10.1016/j.crm.2021.100362</pub-id>
</mixed-citation>
</ref>
<ref id="B44">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Linzer</surname>
<given-names>D. A.</given-names>
</name>
<name>
<surname>Lewis</surname>
<given-names>J. B.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>poLCA: an R package for polytomous variable latent class analysis</article-title>. <source>J. Stat. Softw.</source> <volume>42</volume> (<issue>10</issue>), <fpage>1</fpage>&#x2013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.18637/jss.v042.i10</pub-id>
</mixed-citation>
</ref>
<ref id="B45">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Menghistu</surname>
<given-names>H. T.</given-names>
</name>
<name>
<surname>Abraha</surname>
<given-names>A. Z.</given-names>
</name>
<name>
<surname>Tesfay</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Mawcha</surname>
<given-names>G. T.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Determinant factors of climate change adaptation by pastoral/agro-pastoral communities and smallholder farmers in Sub-Saharan Africa: a systematic review</article-title>. <source>Int. J. Clim. Change Strategies Manag.</source> <volume>12</volume> (<issue>3</issue>), <fpage>305</fpage>&#x2013;<lpage>321</lpage>. <pub-id pub-id-type="doi">10.1108/IJCCSM-07-2019-0049</pub-id>
</mixed-citation>
</ref>
<ref id="B46">
<mixed-citation publication-type="book">
<collab>Minist&#xe8;re des Ressources Animales et Halieutiques</collab> (<year>2022</year>). <source>
<italic>Politique Nationale De D&#xe9;veloppemen</italic>t De L&#x2019;Elevage, De La P&#xea;che Et De L&#x2019;Aquaculture (PONADEPA 2022&#x2013;2026)</source>.</mixed-citation>
</ref>
<ref id="B47">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mkansi</surname>
<given-names>N. D.</given-names>
</name>
<name>
<surname>Ledwaba</surname>
<given-names>J. L.</given-names>
</name>
<name>
<surname>Mokhaukhau</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Smallholder farmers&#x2019; perceptions of climate change adaptation strategies: the case of the greater giyani local municipality, Limpopo province</article-title>. <source>Res. World Agric. Econ.</source> <volume>6</volume>, <fpage>276</fpage>&#x2013;<lpage>289</lpage>. <pub-id pub-id-type="doi">10.36956/rwae.v6i1.1287</pub-id>
</mixed-citation>
</ref>
<ref id="B48">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mlan</surname>
<given-names>K. S.</given-names>
</name>
<name>
<surname>Konan</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Kouakou</surname>
<given-names>Y. F.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Touche pas &#xe0; mon Peuhl! Acteurs cach&#xe9;s dans les conflits agriculteurs-&#xe9;leveurs &#xe0; T&#xe9;ningbou&#xe9; (Centre-Nord C&#xf4;te d&#x2019;Ivoire)</article-title>. <source>Revue d&#x2019;&#xe9;tudes de recherches en Sci. sociales</source> <volume>2</volume>, <fpage>213</fpage>&#x2013;<lpage>229</lpage>.</mixed-citation>
</ref>
<ref id="B49">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Molina-Flores</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Manzano-Baena</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Coulibaly</surname>
<given-names>M. D.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>The role of livestock in food security, poverty reduction and wealth creation in West Africa</article-title>. <source>Food Agric. Organ. U. N</source>. <pub-id pub-id-type="doi">10.4060/ca8385en</pub-id>
</mixed-citation>
</ref>
<ref id="B50">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moore</surname>
<given-names>A. D.</given-names>
</name>
<name>
<surname>Bell</surname>
<given-names>L. W.</given-names>
</name>
<name>
<surname>Revell</surname>
<given-names>D. K.</given-names>
</name>
<name>
<surname>Angus</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Gault</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Peoples</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2009</year>). <article-title>Feed gaps in mixed-farming systems: insights from the grain and graze program</article-title>. <source>Animal Prod. Sci.</source> <volume>49</volume> (<issue>10</issue>), <fpage>736</fpage>&#x2013;<lpage>748</lpage>. <pub-id pub-id-type="doi">10.1071/AN09010</pub-id>
</mixed-citation>
</ref>
<ref id="B51">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pavia</surname>
<given-names>J. F. L. Z.</given-names>
</name>
<name>
<surname>Sim&#xf5;es</surname>
<given-names>J. C. M.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Climate change induced instability and conflicts: Mali, Burkina Faso and niger</article-title>. <source>Janus.net, E-Journal International Relations</source> <volume>15</volume> (<issue>2</issue>), <fpage>141</fpage>&#x2013;<lpage>158</lpage>. <pub-id pub-id-type="doi">10.26619/1647-7251.DT0225.7</pub-id>
</mixed-citation>
</ref>
<ref id="B52">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Pezet</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Beneti&#xe8;re</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>Fride</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Le Chau</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Lhuillier</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Michaud</surname>
<given-names>P.</given-names>
</name>
<etal/>
</person-group> (<year>1965</year>). <source>Histoire De L&#x2019;Agriculture En Zone Baoul&#xe9;: &#xc9;tude R&#xe9;gionale De Bouak&#xe9; 1962&#x2013;1964</source>.</mixed-citation>
</ref>
<ref id="B53">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rojas-Downing</surname>
<given-names>M. M.</given-names>
</name>
<name>
<surname>Nejadhashemi</surname>
<given-names>A. P.</given-names>
</name>
<name>
<surname>Harrigan</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Woznicki</surname>
<given-names>S. A.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Climate change and livestock: impacts, adaptation, and mitigation</article-title>. <source>Clim. Risk Manag.</source> <volume>16</volume>, <fpage>145</fpage>&#x2013;<lpage>163</lpage>. <pub-id pub-id-type="doi">10.1016/j.crm.2017.02.001</pub-id>
</mixed-citation>
</ref>
<ref id="B54">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Snaibi</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Mezrhab</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Sy</surname>
<given-names>O.</given-names>
</name>
<name>
<surname>Morton</surname>
<given-names>J. F.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Perception and adaptation of pastoralists to climate variability and change in Morocco&#x2019;s arid rangelands</article-title>. <source>Heliyon</source> <volume>7</volume> (<issue>11</issue>), <fpage>e08434</fpage>. <pub-id pub-id-type="doi">10.1016/j.heliyon.2021.e08434</pub-id>
<pub-id pub-id-type="pmid">34901493</pub-id>
</mixed-citation>
</ref>
<ref id="B55">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sokouri</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Loukou</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Yapi-Gnaor&#xe9;</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Soro</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>N&#x2019;guetta</surname>
<given-names>A.-P.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Typology of cattle livestock production systems in C&#xf4;te d&#x27;ivoire</article-title>. <source>Int. J. Dev. Res.</source> <volume>4</volume> (<issue>11</issue>), <fpage>2233</fpage>&#x2013;<lpage>2239</lpage>.</mixed-citation>
</ref>
<ref id="B56">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tabari</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Climate change impact on flood and extreme precipitation increases with water availability</article-title>. <source>Sci. Rep.</source> <volume>10</volume> (<issue>1</issue>), <fpage>13768</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-020-70816-2</pub-id>
<pub-id pub-id-type="pmid">32792563</pub-id>
</mixed-citation>
</ref>
<ref id="B57">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tefera</surname>
<given-names>M. L.</given-names>
</name>
<name>
<surname>Seddaiu</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Carletti</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Awada</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Rainfall variability and drought in West Africa: challenges and implications for rainfed agriculture</article-title>. <source>Theor. Appl. Climatol.</source> <volume>156</volume>, <fpage>41</fpage>. <pub-id pub-id-type="doi">10.1007/s00704-024-05251-8</pub-id>
</mixed-citation>
</ref>
<ref id="B58">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tetteh</surname>
<given-names>B. K. D.</given-names>
</name>
<name>
<surname>Donkoh</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Ansah</surname>
<given-names>I. G. K.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Climate change coping and adaptation and its effect on livestock herd size and farmers&#x2019; welfare in the upper west region of Ghana</article-title>. <source>Environ. Dev. Sustain.</source> <volume>26</volume> (<issue>12</issue>), <fpage>30477</fpage>&#x2013;<lpage>30499</lpage>. <pub-id pub-id-type="doi">10.1007/s10668-023-03880-z</pub-id>
</mixed-citation>
</ref>
<ref id="B59">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Th&#xe9;baud</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Corniaux</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2019</year>). <source>Le Ranching En Afrique De L&#x2019;Ouest: Quelles Questions Se Poser? Technical Report</source>. <publisher-name>Roissy Charles de Gaulle, France: Acting For Life</publisher-name>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.ppzs.org/content/download/4565/34293/version/1/file/ConsortiumAFL_ranching.pdf">https://www.ppzs.org/content/download/4565/34293/version/1/file/ConsortiumAFL_ranching.pdf</ext-link> (Accessed September 17, 2026)</comment>.</mixed-citation>
</ref>
<ref id="B60">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thompson</surname>
<given-names>O. A.</given-names>
</name>
<name>
<surname>Amos</surname>
<given-names>T. T.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Farmers&#x2019; perception of climate change in southern Guinea Savannah and rainforest agro-ecological zone of southwest Nigeria</article-title>. <source>Moor J. Agric. Res.</source> <volume>18</volume> (<issue>1</issue>), <fpage>183</fpage>&#x2013;<lpage>196</lpage>.</mixed-citation>
</ref>
<ref id="B61">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thornton</surname>
<given-names>P. K.</given-names>
</name>
<name>
<surname>van de Steeg</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Notenbaert</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Herrero</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>The impacts of climate change on livestock and livestock systems in developing countries: a review of what we know and what we need to know</article-title>. <source>Agric. Syst.</source> <volume>101</volume> (<issue>3</issue>), <fpage>113</fpage>&#x2013;<lpage>127</lpage>. <pub-id pub-id-type="doi">10.1016/j.agsy.2009.05.002</pub-id>
</mixed-citation>
</ref>
<ref id="B62">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tidjani</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Assani</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Iwaka</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Agballa-Belrou</surname>
<given-names>A. R. A.</given-names>
</name>
<name>
<surname>Azalou</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sanni Worogo</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2025</year>). <article-title>Perception of the sedentarization of cattle herds by livestock farmers in the Sudanian and sudano-guinean zones of northern Benin</article-title>. <source>J. Livest. Sci.</source> <volume>16</volume> (<issue>3</issue>), <fpage>339</fpage>&#x2013;<lpage>349</lpage>. <pub-id pub-id-type="doi">10.33259/JLivestSci.2025.339-349</pub-id>
</mixed-citation>
</ref>
<ref id="B63">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Timpong-Jones</surname>
<given-names>E. C.</given-names>
</name>
<name>
<surname>Samuels</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Sarkwa</surname>
<given-names>F. O.</given-names>
</name>
<name>
<surname>Oppong-Anane</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Majekodumni</surname>
<given-names>A. O.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Transhumance pastoralism in west Africa&#x2013;its importance, policies and challenges</article-title>. <source>Afr. J. Range Forage Sci.</source> <volume>40</volume> (<issue>1</issue>), <fpage>114</fpage>&#x2013;<lpage>128</lpage>. <pub-id pub-id-type="doi">10.2989/10220119.2022.2160012</pub-id>
</mixed-citation>
</ref>
<ref id="B64">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ting</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Memon</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Thurasamy</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Cheah</surname>
<given-names>J.-H.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Snowball sampling: a review and guidelines for survey research</article-title>. <source>Asian J. Bus. Res.</source> <volume>15</volume> (<issue>1</issue>), <fpage>1</fpage>&#x2013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.14707/ajbr.250186</pub-id>
</mixed-citation>
</ref>
<ref id="B65">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Tour&#xe9;</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2007</year>). <source>
<italic>D&#xe9;terminants socio-&#xe9;conomiques, Performances Zootechniques Et Contraintes Sanitaires En &#xc9;levage P&#xe9;riurbain En C&#xf4;te D&#x2019;Ivoire: Cas De L&#x2019;&#xc9;levage Ovin &#xc0; Bouak&#xe9;. Phd</italic>
</source>. <publisher-loc>Thesis</publisher-loc>: <publisher-name>&#xc9;cole nationale sup&#xe9;rieure agronomique de Rennes</publisher-name>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://theses.fr/2007NSARB184">https://theses.fr/2007NSARB184</ext-link> (Accessed: September 17, 2026)</comment>.</mixed-citation>
</ref>
<ref id="B66">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Turner</surname>
<given-names>M. D.</given-names>
</name>
<name>
<surname>Schlecht</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Livestock mobility in Sub-Saharan Africa: a critical review</article-title>. <source>Pastoralism</source> <volume>9</volume> (<issue>1</issue>), <fpage>13</fpage>. <pub-id pub-id-type="doi">10.1186/s13570-019-0150-z</pub-id>
</mixed-citation>
</ref>
<ref id="B67">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Umutoni</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Ayantunde</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Sawadogo</surname>
<given-names>G. J.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Evaluation of feed resources in mixed crop-livestock systems in sudano-sahelian zone of Mali in West Africa</article-title>. <source>Int. J. Livest. Res.</source> <volume>5</volume> (<issue>8</issue>), <fpage>1</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.5455/ijlr.20150813090546</pub-id>
</mixed-citation>
</ref>
<ref id="B68">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Youan Bi</surname>
<given-names>T. B. A.</given-names>
</name>
</person-group> (<year>2008</year>). <source>
<italic>Efficacit&#xe9; Manag&#xe9;riale Des &#xc9;leveurs De Bovins En C&#xf4;te D&#x2019;Ivoire: Le Cas Des D&#xe9;partements De Toumodi Et De Korhogo</italic>
</source>. <publisher-name>Abidjan: Universit&#xe9; de Cocody.DICAMES</publisher-name>. <comment>Ph. D. Thesis</comment>.</mixed-citation>
</ref>
<ref id="B71">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zampaligr&#xe9;</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Dossa</surname>
<given-names>L. H.</given-names>
</name>
<name>
<surname>Schlecht</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Climate change and variability: perception and adaptation strategies of pastoralists and agro-pastoralists across different zones of Burkina Faso</article-title>. <source>Reg. Environ. Change</source> <volume>14</volume>, <fpage>769</fpage>&#x2013;<lpage>783</lpage>. <pub-id pub-id-type="doi">10.1007/s10113-013-0532-5</pub-id>
</mixed-citation>
</ref>
<ref id="B69">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zampaligr&#xe9;</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Ouedraogo</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Chikozho</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Sawadogo</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Schlecht</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Changes in livelihood strategies and animal husbandry practices of pastoralists in the sub-humid zone of West Africa</article-title>. <source>Afr. J. Agric. Res.</source> <volume>14</volume> (<issue>30</issue>), <fpage>1311</fpage>&#x2013;<lpage>1325</lpage>. <pub-id pub-id-type="doi">10.5897/AJAR2019.13878</pub-id>
</mixed-citation>
</ref>
<ref id="B70">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zougmor&#xe9;</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Partey</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ou&#xe9;draogo</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Omitoyin</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Thomas</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Ayantunde</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Toward climate-smart agriculture in West Africa: a review of climate change impacts, adaptation strategies and policy developments for the livestock, fishery and crop production sectors</article-title>. <source>Agric. and Food Secur.</source> <volume>5</volume> (<issue>1</issue>), <fpage>26</fpage>. <pub-id pub-id-type="doi">10.1186/s40066-016-0075-3</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1088953/overview">Matthew Turner</ext-link>, University of Wisconsin-Madison, United States</p>
</fn>
</fn-group>
</back>
</article>