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<journal-id journal-id-type="publisher-id">Front. Conserv. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Conservation Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Conserv. Sci.</abbrev-journal-title>
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<issn pub-type="epub">2673-611X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fcosc.2025.1623056</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Claws and consequences: human&#x2013;tiger conflict and community responses in Bardiya National Park, Nepal</article-title>
</title-group>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Shrestha</surname><given-names>Prabina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Kadariya</surname><given-names>Rabin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Subedi</surname><given-names>Naresh</given-names></name>
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<name><surname>Paudel</surname><given-names>Umesh</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>K.C.</surname><given-names>Rabin Bahadur</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label>1</label><institution>Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, University of Inland Norway</institution>, <city>Koppang</city>,&#xa0;<country country="no">Norway</country></aff>
<aff id="aff2"><label>2</label><institution>National Trust for Nature Conservation (NTNC)</institution>, <city>Lalitpur</city>,&#xa0;<country country="np">Nepal</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Prabina Shrestha, <email xlink:href="mailto:275122@stud.inn.no">275122@stud.inn.no</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-09-04">
<day>04</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1623056</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Shrestha, Kadariya, Subedi, Paudel and K.C..</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Shrestha, Kadariya, Subedi, Paudel and K.C.</copyright-holder>
<license>
<ali:license_ref start_date="2025-09-04">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>Human&#x2013;tiger conflict (HTC) is one of the rising issues of Bardiya National Park (BNP) and is receiving attention from conservation biologists. This study emphasizes the extent of human&#x2013;tiger conflict in two municipalities, Thakurbaba and Madhuban, in the buffer zone of Bardiya National Park, Nepal. Primary and secondary information was collected to determine the socio-economic characteristics relevant to tiger conservation following a questionnaire survey of the community people. A semi-structured questionnaire was randomly administered to 438 households to generate information from the respondents, along with these people&#x2019;s perceptions toward tigers and their interest in tiger conservation. The Likert scale was used to assess respondents&#x2019; attitudes, while a chi-square test of homogeneity and logistic regression analysis were employed to determine the best-fitting model and identify significant variables influencing perceptions toward tiger conservation. A total of 18 people were killed and 10 were injured by tigers between 2019 and 2023. The people&#x2019;s perception of tigers and their conservation was significantly associated with socio-economic variables, including gender, ethnicity, economic status, and source of income. We found female, low-income, and Janajati respondents likely to have negative attitudes toward their conservation. The Likert scale responses revealed strong overall support for tiger conservation and perceived tourism benefits. In addition to the ever-growing human&#x2013;tiger conflict, people are aware of tiger conservation and suggest that making net wire fences, providing improved sheds for cattle, and cattle insurance schemes help to minimize Livestock depredation events; effective training on wildlife monitoring and awareness programs could be among the best ways to mitigate conflicts between humans and tigers.</p>
</abstract>
<kwd-group>
<kwd>conservation</kwd>
<kwd>human-tiger conflict</kwd>
<kwd>people&#x2019;s perception</kwd>
<kwd>socio-economic</kwd>
<kwd>Panthera tigris</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
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<fig-count count="4"/>
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<ref-count count="59"/>
<page-count count="11"/>
<word-count count="5062"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Human-Wildlife Interactions</meta-value>
</custom-meta>
</custom-meta-group>
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</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Large carnivores, despite occurring in lower densities (<xref ref-type="bibr" rid="B32">Karanth and Chellam, 2009</xref>), are highly involved in conflicts with humans, which reduces carnivore populations through active persecution based on real or perceived threats to themselves or their livestock (<xref ref-type="bibr" rid="B25">Graham et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B29">Inskip and Zimmermann, 2009</xref>; <xref ref-type="bibr" rid="B23">Goodrich et&#xa0;al., 2011</xref>). Human&#x2013;wildlife conflict (HWC) has been one of the most significant conservation issues in recent years, exacerbated by increasing human populations, loss of natural habitats, and, in some cases, increased wildlife populations due to successful conservation programs (<xref ref-type="bibr" rid="B53">Sethy, 2013</xref>). Human&#x2013;tiger conflict (HTC) is generally expressed in four forms: i) tiger attacks on humans, ii) tiger attacks on livestock, iii) threats to human safety from tigers living near human settlements, and iv) retaliatory killings of tigers (<xref ref-type="bibr" rid="B22">Goodrich, 2010</xref>; <xref ref-type="bibr" rid="B6">Bhattarai et&#xa0;al., 2019</xref>).</p>
<p>Two decades of conservation success in Nepal have led to a rapid increase in the tiger population (<xref ref-type="bibr" rid="B18">DNPWC and DFSC, 2022</xref>). The tiger population in Nepal was estimated at 121 individuals in 2009 (<xref ref-type="bibr" rid="B33">Karki et&#xa0;al., 2009</xref>), 198 in 2013 (<xref ref-type="bibr" rid="B13">Dhakal et&#xa0;al., 2014</xref>), 235 in 2018 (<xref ref-type="bibr" rid="B17">DNPWC and DFSC, 2018</xref>), and 355 in 2022 (<xref ref-type="bibr" rid="B18">DNPWC and DFSC, 2022</xref>), indicating an almost tripling of the population between 2009 and 2022. In recent years, there has been an increase in reported incidences of HTC. These incidents typically involve the depredation of livestock and attacks on humans trespassing into the park area or in the fringe area for the forest resources (<xref ref-type="bibr" rid="B4">Bhattarai and Fischer, 2014</xref>; <xref ref-type="bibr" rid="B14">Dhungana et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B26">Gurung et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B45">Paudel et&#xa0;al., 2024</xref>). Additionally, incidents of tiger mortalities arising from territorial disputes among male tigers have been reported in national parks (<xref ref-type="bibr" rid="B3">Bhatt et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B30">Kadariya et&#xa0;al., 2023</xref>).</p>
<p>In Nepal, Bardiya National Park (BNP), home to 125 tigers (<xref ref-type="bibr" rid="B18">DNPWC and DFSC, 2022</xref>), is ecologically connected to Banke National Park (BaNP) in the east, which harbors 25 tigers (<xref ref-type="bibr" rid="B18">DNPWC and DFSC, 2022</xref>). It is also connected to India&#x2019;s Katarniaghat Wildlife Sanctuary (KWS) in the south with 59 tigers (<xref ref-type="bibr" rid="B48">Qureshi et&#xa0;al., 2023</xref>) through the Khata forest corridor, which forms one of the priority Tiger Conservation Landscapes of the Indian Subcontinent (<xref ref-type="bibr" rid="B58">Wikramanayake et&#xa0;al., 1998</xref>). As Nepal&#x2019;s second-largest national park with an increasing tiger population (<xref ref-type="bibr" rid="B18">DNPWC and DFSC, 2022</xref>), BNP serves as the source population for the surrounding landscapes of Nepal and India (<xref ref-type="bibr" rid="B52">Sanderson et&#xa0;al., 2010</xref>).</p>
<p>Protected areas (PAs) cover 23.39% of the total land (<xref ref-type="bibr" rid="B16">DNPWC, 2022</xref>), where a high density of local communities dependent on natural resources live alongside PAs (<xref ref-type="bibr" rid="B28">Heinen et&#xa0;al., 2019</xref>), particularly in Nepal&#x2019;s plains. BNP also has a high human population density (<xref ref-type="bibr" rid="B24">Government of Nepal, 2022</xref>). Along with the increasing tiger population, HTC is also on the rise in BNP and its associated forests (<xref ref-type="bibr" rid="B30">Kadariya et&#xa0;al., 2023</xref>). In the decade leading up to 2019, there were no human fatalities related to HTC&#x2014;an important element of conservation success in the Bardiya region (<xref ref-type="bibr" rid="B20">Fitzmaurice et&#xa0;al., 2021</xref>). However, between September 2020 and May 2021, there were approximately 10 human fatalities due to tiger attacks within BNP (<xref ref-type="bibr" rid="B49">Rauniyar, 2021</xref>). According to park authorities, 12 people were killed in the park region during the fiscal year 2021/2022 (<xref ref-type="bibr" rid="B16">DNPWC, 2022</xref>). Community people who have benefited from PAs are active in management initiatives, are less reliant on natural resources, and are more likely to have a positive attitude toward tiger conservation (<xref ref-type="bibr" rid="B12">Dewu and R&#xf8;skaft, 2018</xref>; <xref ref-type="bibr" rid="B31">Karanth and Nepal, 2012</xref>; <xref ref-type="bibr" rid="B41">Mutanga et&#xa0;al., 2015</xref>). Conversely, higher livestock losses, greater reliance on natural resources, and incidents of human attacks lead to negative attitudes toward tigers and their conservation among local people (<xref ref-type="bibr" rid="B2">Baral and Heinen, 2007</xref>; <xref ref-type="bibr" rid="B41">Mutanga et&#xa0;al., 2015</xref>). Such attitudes and retaliatory killings can seriously undermine conservation efforts (<xref ref-type="bibr" rid="B1">Aryal et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B10">Carter et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B55">Singh et&#xa0;al., 2015</xref>). Although all countries are affected by HWC, developing countries like Nepal are more vulnerable than developed nations since livestock and agriculture are important parts of rural livelihood (<xref ref-type="bibr" rid="B34">Khanal et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B37">Luitel, 1999</xref>).</p>
<p>In addition to a scientific understanding of wildlife conflicts, the attitudes of local people toward wildlife are critical for managing the conflict (<xref ref-type="bibr" rid="B43">Naughton-Treves and Treves, 2005</xref>). To ensure that wildlife management policies are effective and sensitive to local conditions, it is important to understand social factors, such as the attitudes of local people, which provide an overview of the cultural and sociopolitical context of human&#x2013;wildlife conflicts (<xref ref-type="bibr" rid="B35">Kideghesho et&#xa0;al., 2007</xref>). Assessing local people&#x2019;s attitudes can provide insight into how they will behave, how they comply with wildlife protection regulations, how they respond to economic losses caused by wildlife, and the degree to which they are willing to coexist with wildlife (<xref ref-type="bibr" rid="B39">Megaze et&#xa0;al., 2017</xref>).</p>
<p>This study investigates the socio-economic factors influencing local attitudes toward tigers and their conservation in the buffer zone of BNP, Nepal. By identifying key variables associated with positive or negative perceptions, the research aims to inform targeted conservation strategies that promote coexistence, reduce conflict, and support long-term tiger population sustainability.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study area</title>
<p>The study was carried out in two municipalities in the buffer zone of BNP, Thakurbaba and Madhuban, in mid-western Nepal. Thakurbaba municipality covers an area of approximately 104.5 km<sup>2</sup>, while Madhuban municipality spans approximately 135.1 km<sup>2</sup>. BNP (28&#xb0;23&#x2032;N 81&#xb0;30&#x2032;E), with an area of 968 km<sup>2</sup>, is the largest protected area in the Terai region of Nepal, listed in Terai Arc Landscape (TAL) (<xref ref-type="bibr" rid="B7">BNP, 2022</xref>; <xref ref-type="bibr" rid="B58">Wikramanayake et&#xa0;al., 1998</xref>). The landscape of the study area spans from 152 m at Manaughat to 1,564 m at Baspani above mean sea level, predominantly characterized by flat lowlands. The vegetation cover within BNP and its buffer zone is primarily composed of forests (76%), followed by cultivated land (13.48%), shrubland (3.64%), sandy areas (3.42%), water bodies (1.63%), grasslands (1.47%), barren land (0.16%), swampy areas (0.15%), orchards (0.02%), and river cuttings/cliffs (0.01%) (<xref ref-type="bibr" rid="B7">BNP, 2022</xref>). The area falls within two bioclimatic zones&#x2014;the lower tropical zone (below 500 m) and the higher tropical zone (501&#x2013;1,564 m)&#x2014;experiencing a subtropical monsoon climate characterized by four distinct seasons: summer (March&#x2013;May), monsoon (June&#x2013;August), autumn (September&#x2013;November), and winter (December&#x2013;February) (<xref ref-type="bibr" rid="B44">Odden and Wegge, 2005</xref>).</p>
<p>Rich in biodiversity, BNP harbors 839 species of flora and numerous endangered large mammals such as the Asian elephant (<italic>Elephas maximus</italic>), greater one-horned rhinoceros (<italic>Rhinoceros unicornis</italic>), and tigers, alongside a total of 61 mammalian species, 513 bird species, 52 herpetofauna species, and 121 fish species (<xref ref-type="bibr" rid="B7">BNP, 2022</xref>). The buffer zone is inhabited by a diverse population, including Indigenous communities like the <italic>Tharu</italic>, as well as <italic>Brahmin</italic>, <italic>Chhetri</italic>, and <italic>Thakuri</italic>, and <italic>Dalit</italic>, who reside in economically disadvantaged conditions (<xref ref-type="bibr" rid="B42">National Statistics Office, 2021</xref>). The human population density in Thakurbaba municipality is approximately 473 persons per square kilometer, with a total of 11,469 households. Similarly, Madhuban municipality has 391 persons per square kilometer, with 12,444 households (<xref ref-type="bibr" rid="B11">Central Bureau of Statistics, 2022</xref>). The local economy is almost completely based on farming with extensive irrigation systems (<xref ref-type="bibr" rid="B46">Prins et&#xa0;al., 2022</xref>). The western section of BNP has been characterized by relatively high densities of both natural prey and livestock (<xref ref-type="bibr" rid="B57">Upadhyaya et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data collection method</title>
<p>A semi-structured questionnaire survey was used to obtain data on people&#x2019;s perceptions of tigers and their interest in tiger conservation (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material 1</bold></xref>). In total, 438 household surveys (168 Thakurbaba and 270 Madhuban) were included. Interviews were conducted primarily with the head of the household, although other family members often participated to formulate a collective response. In the absence of the head of the family, another family member who is over 18 was interviewed. All questions were closed-ended for ease of quantitative analyses. Interviews were conducted in participants&#x2019; homes in January and February 2022, and each interview lasted 30&#x2013;45 minutes.</p>
<p>Data on human casualties and injuries (2019&#x2013;2023) because of HTC were retrieved from BNP and the National Trust for Nature Conservation (NTNC). Secondary data were also collected through a comprehensive review of various sources, including published and unpublished literature, books, articles, annual reports, and relevant online websites.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data analysis</title>
<p>We collected both quantitative and qualitative data from the study sites. We performed chi-square tests to find any significant difference in the local community&#x2019;s attitudes toward tigers and their conservation with socio-economic variables like gender, age, ethnicity, source of income, economic status, and landholding size.</p>
<p>To examine attitudes, we formulated five structured questions (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). We used a 5-point Likert-type ordinal scale (coded as 1, 2, 3, 4, or 5) to assess the attitudes of the community people (<xref ref-type="bibr" rid="B36">Likert, 1932</xref>; <xref ref-type="bibr" rid="B56">Spiteri and Nepalz, 2006</xref>), with responses coded as follows: 1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, and 5 = strongly agree toward tiger conservation. To further investigate the factors influencing community interest in tiger conservation, we employed a binary logistic regression model, as the dependent variable, &#x201c;interests in tiger conservation&#x201d;, was recoded into a binary format (0 = not interested, 1 = interested). This approach allowed for the estimation of unbiased and efficient coefficients for the explanatory variables. The model included ethnicity, gender, age group, education, source of income, and the ability to differentiate tigers from leopards (yes/no) as independent variables. We performed all the statistical analyses using R (<xref ref-type="bibr" rid="B50">R Core Team, 2022</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Specific question for respondents n = 438 (attitudes toward the tiger conservation).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Questions</th>
<th valign="middle" align="left">Structured replies</th>
<th valign="middle" align="left">Score</th>
<th valign="middle" align="left">Response (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="5" align="left">Should tigers be conserved?</td>
<td valign="middle" align="left">Strongly agree</td>
<td valign="middle" align="right">5</td>
<td valign="middle" align="center">45</td>
</tr>
<tr>
<td valign="middle" align="left">Agree</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">37</td>
</tr>
<tr>
<td valign="middle" align="left">Neutral</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="center">15</td>
</tr>
<tr>
<td valign="middle" align="left">Disagree</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="left">Strongly disagree</td>
<td valign="middle" align="right">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Is tourism increasing because of tigers?</td>
<td valign="middle" align="left">Strongly agree</td>
<td valign="middle" align="right">5</td>
<td valign="middle" align="center">22</td>
</tr>
<tr>
<td valign="middle" align="left">Agree</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">45</td>
</tr>
<tr>
<td valign="middle" align="left">Neutral</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="center">20</td>
</tr>
<tr>
<td valign="middle" align="left">Disagree</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="left">Strongly disagree</td>
<td valign="middle" align="right">1</td>
<td valign="middle" align="center">5</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Are both conflict and the number of wildlife increasing?</td>
<td valign="middle" align="left">Strongly agree</td>
<td valign="middle" align="right">5</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="left">Agree</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="left">Neutral</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="center">18</td>
</tr>
<tr>
<td valign="middle" align="left">Disagree</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="center">51</td>
</tr>
<tr>
<td valign="middle" align="left">Strongly disagree</td>
<td valign="middle" align="right">1</td>
<td valign="middle" align="center">20</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Are you happy with the increasing tiger population?</td>
<td valign="middle" align="left">Strongly agree</td>
<td valign="middle" align="right">5</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="left">Agree</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="left">Neutral</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="center">21</td>
</tr>
<tr>
<td valign="middle" align="left">Disagree</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="center">27</td>
</tr>
<tr>
<td valign="middle" align="left">Strongly disagree</td>
<td valign="middle" align="right">1</td>
<td valign="middle" align="center">49</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Are you satisfied with the park management and compensation?</td>
<td valign="middle" align="left">Strongly agree</td>
<td valign="middle" align="right">5</td>
<td valign="middle" align="center">39</td>
</tr>
<tr>
<td valign="middle" align="left">Agree</td>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">29</td>
</tr>
<tr>
<td valign="middle" align="left">Neutral</td>
<td valign="middle" align="right">3</td>
<td valign="middle" align="center">19</td>
</tr>
<tr>
<td valign="middle" align="left">Disagree</td>
<td valign="middle" align="right">2</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" align="left">Strongly disagree</td>
<td valign="middle" align="right">1</td>
<td valign="middle" align="center">2</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Socio-economic characteristics</title>
<p>We surveyed a total of 438 households in Madhuban and Thakurbaba municipalities, which are two of the five municipalities in the buffer zone of Bardiya National Park (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). The majority of the respondents were male [70% (n = 305)], while only 30% (n = 133) were female. Similarly, the age group of between 41 and 60 years accounted for the largest portion of the survey respondents [43% (n = 189)], followed by the 20&#x2013;40 years age group with 38% (n = 167), 61&#x2013;80 years with 18% (n = 78), and above 80 years with only 1% (n = 4). Most respondents were Tharu [54% (n = 235)], as they have a high population density within the study area, followed by Brahmin, Chhetri, and Thakuri (BCT) [32% (n = 140)] and Dalit [14% (n = 63)]. The majority of the respondents were literate [32% (n = 142)], with 32% (n = 139) having passed the School Leaving Certificate (SLC)/Secondary Education Examination (SEE) and 11% (n = 49) having completed the intermediate level. The remaining 25% (n = 108) were illiterate. The primary occupation of respondents was daily wage labor, accounting for 51% (n = 223) of the total surveyed population. This included employment as drivers, tourist guides, kitchen helpers, and cooks in hotels. Agriculture was the second most common livelihood, involving 32% (n = 140) of respondents. A small proportion of individuals [3% (n = 11)] operated their own business, such as homestays and restaurants, and 3% (n = 11) were engaged in foreign employment, contributing to household income through remittances. Government employment was reported by 8% (n = 37). The remaining 4% (n = 16) were involved in rearing animals, with cows, buffalos, goats, hens, and oxen as the major livestock reared by the people of the study area. Similarly, 64% (n = 279) of the respondents had taxable land, while 36% (n = 159) had non-taxable land for agricultural activities.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of the study area showing respondents&#x2019; locations and land use/land cover (LULC) classification within the study area in 2022.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1623056-g001.tif">
<alt-text content-type="machine-generated">Map illustrating land cover and study areas in Thakurbaba  and Madhuban Municipalities, Nepal, with features such as forests, crops, and water. Symbols indicate questionnaire locations. Insets show regional context in Nepal and surrounding protected areas. A legend clarifies land cover types and boundaries.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Human&#x2013;tiger conflict</title>
<p>Over 5 years (2019&#x2013;2023), a total of 18 people were killed and 10 people were injured by tigers (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The study area recorded several incidents of livestock depredation caused by tigers. Livestock depredation incidents totaled 198, including 116 buffalos, 32 goats, 29 cows/oxen, and 21 sheep killed by tigers in Madhuban and Thakurbaba municipalities (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Humans killed/injured by tigers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Municipality</th>
<th valign="middle" align="center">Year</th>
<th valign="middle" align="center">Killed</th>
<th valign="middle" align="center">Injured</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">Thakurbaba</td>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">2022</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Madhuban</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">2</td>
</tr>
<tr>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">2022</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">2</td>
</tr>
<tr>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Total</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">10</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Livestock depredation caused by tigers in Thakurbaba and Madhuban municipalities between 2017 and 2022.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1623056-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing depredation counts of livestock in Madhuban and Thakurbaba municipalities. Buffalo has the highest count in both areas. Other livestock include cow/ox, goat, and sheep, with varied counts.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>People&#x2019;s attitudes/perceptions toward tiger conservation</title>
<p>The results of the study revealed that the majority of the respondents [71% (n = 313)] had a positive attitude toward tiger conservation. A significantly higher percentage of men [70% (n = 305)] were interested in tiger conservation compared with women [30% (n = 133)] (&#x3c7;<sup>2</sup> = 7.05, df = 1, p &lt; 0.05) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). This could be because men are more involved in conservation programs, community organizations, and wildlife-related professions, whereas women are more likely to visit forests for daily necessities. The study also found a positive relationship between the respondents&#x2019; ethnicity and their attitudes toward tiger conservation (&#x3c7;<sup>2</sup> = 10.24, df = 2, p &lt; 0.05) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), as most of the people belonging to the <italic>Tharu</italic> ethnic group, who are engaged in the conservation sector, benefit from tiger ecotourism. Similarly, the study revealed that the respondents&#x2019; source of income (&#x3c7;<sup>2</sup> = 15.71, df = 5, p &lt; 0.05) and their economic status also positively influence the attitudes toward tiger conservation (&#x3c7;<sup>2</sup> = 9.81, df = 3, p &lt; 0.05) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), as tiger ecotourism has the potential to provide a sustainable income for many local people in the future.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Socio-economic characteristics of respondents (interested in tiger conservation).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variable</th>
<th valign="middle" rowspan="2" align="center">Category</th>
<th valign="middle" colspan="2" align="center">Interested in tiger conservation</th>
<th valign="middle" rowspan="2" align="center">N</th>
<th valign="middle" rowspan="2" align="center">%</th>
<th valign="middle" rowspan="2" align="center">&#x3c7;<sup>2</sup></th>
<th valign="middle" rowspan="2" align="center">df</th>
<th valign="middle" rowspan="2" align="center">p-Value</th>
</tr>
<tr>
<th valign="middle" align="center">No</th>
<th valign="middle" align="center">Yes</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Gender</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">75</td>
<td valign="middle" align="center">230</td>
<td valign="middle" align="center">305</td>
<td valign="middle" align="center">70%</td>
<td valign="middle" rowspan="2" align="center">7.0548</td>
<td valign="middle" rowspan="2" align="center">1</td>
<td valign="middle" rowspan="2" align="center">0.00791**</td>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">83</td>
<td valign="middle" align="center">133</td>
<td valign="middle" align="center">30%</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Ethnicity</td>
<td valign="middle" align="left">BCT</td>
<td valign="middle" align="center">31</td>
<td valign="middle" align="center">109</td>
<td valign="middle" align="center">140</td>
<td valign="middle" align="center">32%</td>
<td valign="middle" rowspan="3" align="center">10.244</td>
<td valign="middle" rowspan="3" align="center">2</td>
<td valign="middle" rowspan="3" align="center">0.005963**</td>
</tr>
<tr>
<td valign="middle" align="left">Janajati</td>
<td valign="middle" align="center">82</td>
<td valign="middle" align="center">153</td>
<td valign="middle" align="center">235</td>
<td valign="middle" align="center">54%</td>
</tr>
<tr>
<td valign="middle" align="left">Dalit</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">14%</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">Age group</td>
<td valign="middle" align="left">20&#x2013;40</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">116</td>
<td valign="middle" align="center">167</td>
<td valign="middle" align="center">38%</td>
<td valign="middle" rowspan="4" align="center">0.78895</td>
<td valign="middle" rowspan="4" align="center">3</td>
<td valign="middle" rowspan="4" align="center">0.8521</td>
</tr>
<tr>
<td valign="middle" align="left">41&#x2013;60</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">139</td>
<td valign="middle" align="center">189</td>
<td valign="middle" align="center">43%</td>
</tr>
<tr>
<td valign="middle" align="left">61&#x2013;80</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">55</td>
<td valign="middle" align="center">78</td>
<td valign="middle" align="center">18%</td>
</tr>
<tr>
<td valign="middle" align="left">&gt;80</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1%</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">Education</td>
<td valign="middle" align="left">Illiterate</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">76</td>
<td valign="middle" align="center">108</td>
<td valign="middle" align="center">25%</td>
<td valign="middle" rowspan="4" align="center">0.16908</td>
<td valign="middle" rowspan="4" align="center">3</td>
<td valign="middle" rowspan="4" align="center">0.9824</td>
</tr>
<tr>
<td valign="middle" align="left">Literate</td>
<td valign="middle" align="center">41</td>
<td valign="middle" align="center">101</td>
<td valign="middle" align="center">142</td>
<td valign="middle" align="center">32%</td>
</tr>
<tr>
<td valign="middle" align="left">SLC/SEE</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">101</td>
<td valign="middle" align="center">139</td>
<td valign="middle" align="center">32%</td>
</tr>
<tr>
<td valign="middle" align="left">&gt;Grade 12</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">11%</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">Settlement</td>
<td valign="middle" align="left">&lt;5 years</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">3%</td>
<td valign="middle" rowspan="4" align="center">2.8498</td>
<td valign="middle" rowspan="4" align="center">3</td>
<td valign="middle" rowspan="4" align="center">0.4154</td>
</tr>
<tr>
<td valign="middle" align="left">5&#x2013;20 years</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">11%</td>
</tr>
<tr>
<td valign="middle" align="left">21&#x2013;50 years</td>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">193</td>
<td valign="middle" align="center">260</td>
<td valign="middle" align="center">59%</td>
</tr>
<tr>
<td valign="middle" align="left">&gt;50 years</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">77</td>
<td valign="middle" align="center">117</td>
<td valign="middle" align="center">27%</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">Economic Status</td>
<td valign="middle" align="left">Low economic status</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">20%</td>
<td valign="middle" rowspan="4" align="center">9.8082</td>
<td valign="middle" rowspan="4" align="center">3</td>
<td valign="middle" rowspan="4" align="center">0.02027**</td>
</tr>
<tr>
<td valign="middle" align="left">Lower middle economic status</td>
<td valign="middle" align="center">78</td>
<td valign="middle" align="center">151</td>
<td valign="middle" align="center">229</td>
<td valign="middle" align="center">52%</td>
</tr>
<tr>
<td valign="middle" align="left">Middle economic status</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">108</td>
<td valign="middle" align="center">25%</td>
</tr>
<tr>
<td valign="middle" align="left">High economic status</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">3%</td>
</tr>
<tr>
<td valign="middle" rowspan="6" align="left">Source of income</td>
<td valign="middle" align="left">Agriculture</td>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">114</td>
<td valign="middle" align="center">140</td>
<td valign="middle" align="center">32%</td>
<td valign="middle" rowspan="6" align="center">15.705</td>
<td valign="middle" rowspan="6" align="center">5</td>
<td valign="middle" rowspan="6" align="center">0.007739**</td>
</tr>
<tr>
<td valign="middle" align="left">Animal husbandry</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">4%</td>
</tr>
<tr>
<td valign="middle" align="left">Business</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">3%</td>
</tr>
<tr>
<td valign="middle" align="left">Foreign employment</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">3%</td>
</tr>
<tr>
<td valign="middle" align="left">Government job</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">8%</td>
</tr>
<tr>
<td valign="middle" align="left">Work on daily wages</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">150</td>
<td valign="middle" align="center">223</td>
<td valign="middle" align="center">51%</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Taxable land (katha)</td>
<td valign="middle" align="left">&lt;10</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">142</td>
<td valign="middle" align="center">210</td>
<td valign="middle" align="center">75</td>
<td valign="middle" rowspan="2" align="center">2.814</td>
<td valign="middle" rowspan="2" align="center">1</td>
<td valign="middle" rowspan="2" align="center">0.093</td>
</tr>
<tr>
<td valign="middle" align="left">&gt;10</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">54</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">25</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Non-taxable land (katha)</td>
<td valign="middle" align="left">&lt;10</td>
<td valign="middle" align="center">62</td>
<td valign="middle" align="center">91</td>
<td valign="middle" align="center">153</td>
<td valign="middle" align="center">96</td>
<td valign="middle" rowspan="2" align="center">0.124</td>
<td valign="middle" rowspan="2" align="center">1</td>
<td valign="middle" rowspan="2" align="center">0.725</td>
</tr>
<tr>
<td valign="middle" align="left">&gt;10</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BCT, Brahmin, Chhetri, and Thakuri; N, total number; &#x3c7;<sup>2</sup>, chi-square; df, degree of freedom; SLC, School Leaving Certificate.</p></fn>
<fn>
<p>**Significant at p &lt; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To assess attitudes of the community people, five Likert scale questions were posed to respondents (n = 438) regarding various aspects of tiger conservation (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The majority of the respondents expressed strong support for tiger conservation, with 45% strongly agreeing and 37% agreeing that tigers should be protected. Additionally, 67% (22% strongly agree and 45% agree) believed that tourism has increased due to the presence of tigers. However, attitudes were more mixed regarding human&#x2013;wildlife conflict and park management. Only 10% acknowledged that both wildlife and conflict are increasing, while a large portion either disagreed (51%) or strongly disagreed (20%) with this statement. Respondents were also divided in their views on the rising tiger population: 76% expressed negative sentiments, with only 3% agreeing and none strongly agreeing. On park management and relief mechanism, responses were generally positive, with 68% reporting satisfaction.</p>
<p><xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref> shows that livelihood vulnerability led to negative attitudes. Respondents involved in animal husbandry exhibited the strongest negative attitudes (&#x3b2; = &#x2212;1.97, p &lt; 0.05), followed by daily wage laborers (&#x3b2; = &#x2212;0.66, p &lt; 0.05). Similarly, ethnicity significantly influenced attitudes, with Janajati (predominantly <italic>Tharu</italic>) showing reduced support compared to the BCT reference group (&#x3b2; = &#x2212;0.62, p &lt; 0.05). Gender disparities emerged, with men more supportive than women (&#x3b2; = 0.47, p = 0.05). Conversely, ecological knowledge&#x2014;the ability to differentiate tigers from leopards&#x2014;strengthened support (&#x3b2; = 0.59, p &lt; 0.05).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The determinants of respondents' (N = 438) attitudes toward tiger conservation based on Tobit regression models.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Explanatory variables</th>
<th valign="middle" align="left">Estimates</th>
<th valign="middle" align="left">Std. error</th>
<th valign="middle" align="left">Z-value</th>
<th valign="middle" align="left">Pr(&gt;|z|)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">(Intercept)</td>
<td valign="middle" align="left">1.17</td>
<td valign="middle" align="left">0.39</td>
<td valign="middle" align="left">2.96</td>
<td valign="middle" align="left"><bold>0**</bold></td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Ethnicity</th>
</tr>
<tr>
<td valign="middle" align="left">Dalit</td>
<td valign="middle" align="left">0.29</td>
<td valign="middle" align="left">0.41</td>
<td valign="middle" align="left">0.70</td>
<td valign="middle" align="left">0.48</td>
</tr>
<tr>
<td valign="middle" align="left">Janajati</td>
<td valign="middle" align="left">&#x2212;0.62</td>
<td valign="middle" align="left">0.28</td>
<td valign="middle" align="left">&#x2212;2.24</td>
<td valign="middle" align="left"><bold>0.03*</bold></td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">0.47</td>
<td valign="middle" align="left">0.24</td>
<td valign="middle" align="left">1.97</td>
<td valign="middle" align="left"><bold>0.05*</bold></td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age group</th>
</tr>
<tr>
<td valign="middle" align="left">41&#x2013;60</td>
<td valign="middle" align="left">0.07</td>
<td valign="middle" align="left">0.25</td>
<td valign="middle" align="left">0.28</td>
<td valign="middle" align="left">0.78</td>
</tr>
<tr>
<td valign="middle" align="left">61&#x2013;80</td>
<td valign="middle" align="left">&#x2212;0.31</td>
<td valign="middle" align="left">0.33</td>
<td valign="middle" align="left">&#x2212;0.96</td>
<td valign="middle" align="left">0.34</td>
</tr>
<tr>
<td valign="middle" align="left">Above 80</td>
<td valign="middle" align="left">&#x2212;0.33</td>
<td valign="middle" align="left">1.19</td>
<td valign="middle" align="left">&#x2212;0.28</td>
<td valign="middle" align="left">0.78</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Source of income</th>
</tr>
<tr>
<td valign="middle" align="left">Animal husbandry</td>
<td valign="middle" align="left">&#x2212;1.97</td>
<td valign="middle" align="left">0.58</td>
<td valign="middle" align="left">&#x2212;3.39</td>
<td valign="middle" align="left"><bold>0***</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Business</td>
<td valign="middle" align="left">&#x2212;0.89</td>
<td valign="middle" align="left">0.69</td>
<td valign="middle" align="left">&#x2212;1.28</td>
<td valign="middle" align="left">0.2</td>
</tr>
<tr>
<td valign="middle" align="left">Foreign employment</td>
<td valign="middle" align="left">&#x2212;0.17</td>
<td valign="middle" align="left">0.84</td>
<td valign="middle" align="left">&#x2212;0.20</td>
<td valign="middle" align="left">0.84</td>
</tr>
<tr>
<td valign="middle" align="left">Governmental job</td>
<td valign="middle" align="left">&#x2212;0.63</td>
<td valign="middle" align="left">0.43</td>
<td valign="middle" align="left">&#x2212;1.45</td>
<td valign="middle" align="left">0.15</td>
</tr>
<tr>
<td valign="middle" align="left">Work on daily wages</td>
<td valign="middle" align="left">&#x2212;0.66</td>
<td valign="middle" align="left">0.28</td>
<td valign="middle" align="left">&#x2212;2.36</td>
<td valign="middle" align="left"><bold>0.02*</bold></td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Can you differentiate leopards from tigers?</th>
</tr>
<tr>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">0.59</td>
<td valign="middle" align="left">0.23</td>
<td valign="middle" align="left">2.60</td>
<td valign="middle" align="left"><bold>0.01**</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*p &lt; 0.10, **p &lt; 0.05, and ***p &lt; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Control measures</title>
<p>This study found that a large percentage of respondents [74% (n = 324)] do not have a predator-proof corral house, and only a few [26% (n = 114)] had a predator-proof house (&#x3c7;<sup>2</sup> = 100.68, df = 1, p &lt; 0.05). The community members tended to keep their livestock in open fields. Moreover, 65% (n = 285) of respondents believed that everyone was responsible for tiger conservation, 22% (n = 96) believed that park officials were responsible, 11% (n = 48) believed that the government was responsible, and 2% (n = 9) believed that the local community was responsible (&#x3c7;<sup>2</sup> = 409.73, df = 3, p &lt; 0.05). Additionally, 62% (n = 270) were dependent on the community forest for livestock fodder, 23% (n = 101) were dependent on the national park, and only 15% (n = 67) of the respondents were using their private land for fodder collection for the livestock. Respondents recommended various measures to control livestock depredation, including making net wire fences [68% (n = 268)], providing improved sheds for cattle [23% (n = 91)], managing grazing for cattle [3% (n = 13)], offering cattle insurance [4% (n = 17)], and keeping dogs in the house [2% (n = 6)] (&#x3c7;<sup>2</sup> = 625.24, df = 4, p &lt; 0.05) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Controlling measures suggested by the respondents.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1623056-g003.tif">
<alt-text content-type="machine-generated">Bar chart showing the number of respondents to various livestock controlling measures. Net wire fencing is the most popular with over 200 responses, followed by improved sheds for livestock, then provision of cattle insurance. Keeping dogs and managed grazing for cattle have the fewest responses.</alt-text>
</graphic>
</fig>
<p>The results of our study indicate that most people believe that the best way to prevent human casualties caused by wildlife is by offering conservation and education training to the local people [54% (n = 233)]. This was followed by conducting wildlife monitoring and information sharing programs [29% (n = 127)] and providing adequate compensation to victims [15% (n = 67)]. A small percentage of respondents mentioned other techniques as a solution to this issue [2% (n = 6)] (&#x3c7;<sup>2</sup> = 259.31, df = 3, p &lt; 0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Human casualty control measures.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-06-1623056-g004.tif">
<alt-text content-type="machine-generated">Bar chart titled &#x201c;Controlling Human Casualties&#x201d; shows the number of respondents for different measures. Conservation Education and Trainings have the highest response at over 200, followed by Wildlife Monitoring and Information Sharing at approximately 100, Proper Compensation around 60, and Others under 20. Bars are color-coded: blue for Conservation Education, green for Wildlife Monitoring, red for Proper Compensation, and pink for Others.</alt-text>
</graphic>
</fig>
<p>Based on the findings, most respondents [48% (n = 215)] cited the potential for tourism development in their region as the primary motivation for conservation efforts. A smaller percentage of respondents [15% (n = 66)] mentioned the endangered status of tigers as a reason for conservation, while 22% (n = 96) highlighted the role of tigers in maintaining ecosystem balance. A small portion of respondents [5% (n = 22)] were motivated by the beauty of tigers, and 9% (n = 39) (&#x3c7;<sup>2</sup> = 267.5, df = 4, p &lt; 0.05) considered religious beliefs as their reason for conservation efforts.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our study presents the most in-depth analysis of people&#x2019;s attitudes toward tigers and their conservation in Bardiya National Park. Although Bardiya National Park experiences severe human&#x2013;wildlife and human&#x2013;tiger conflicts, social factors shaping an individual&#x2019;s position in society had a greater influence on attitudes toward tigers than direct negative experiences with tigers. We found a significant influence of gender, ethnicity, source of income, and economic status. The finding is comparable to reports of positive attitudes toward tigers of the majority of the local people in Nepal (<xref ref-type="bibr" rid="B14">Dhungana et&#xa0;al., 2022</xref>) and Central India (<xref ref-type="bibr" rid="B51">Reddy and Yosef, 2016</xref>).</p>
<p>In the case of gender, women were more likely to have negative attitudes toward tigers and their conservation than men (<xref ref-type="bibr" rid="B8">Carter and Allendorf, 2016</xref>; Doubleday and Rubino, 2022). <xref ref-type="bibr" rid="B45">Paudel et&#xa0;al. (2024)</xref> mentioned that in 2019&#x2013;2023 in the Bardiya&#x2013;Banke Complex, a total of 76 human attacks by wildlife were recorded, of which 42% were on female individuals. Because of such a high number of attacks, women may feel that they are more vulnerable, and they have developed negative attitudes toward wildlife conservation. Similarly, studies in Chitwan National Park (CNP), another prominent tiger-bearing park in Nepal, found that women may develop negative attitudes toward tigers due to a lack of control over their interactions with them (such as being forced to enter forests to gather necessary natural resources) and limited perspectives on the advantages of doing so (<xref ref-type="bibr" rid="B10">Carter et&#xa0;al., 2014</xref>). Similarly, Doubleday and Rubino (2022) investigated if and how perceptions of tiger reintroductions are disparate among women and men living in and around Sariska Tiger Reserve in India and reported the clear gendered delineations in perceptions, where male participants predominantly focused on economic and ecological benefits, and female participants highlighted threats to personal safety. The local community around BNP in the study has a positive attitude toward tiger conservation. However, in CNP, <xref ref-type="bibr" rid="B15">Dhungana et&#xa0;al. (2016</xref>, <xref ref-type="bibr" rid="B14">2022)</xref> found that many of the local people have negative attitudes toward tigers. Our result indicates that age is not a significant factor in attitudes toward tiger conservation, mirroring the results reported by <xref ref-type="bibr" rid="B14">Dhunagana et&#xa0;al. (2022)</xref> in CNP.</p>
<p>The higher caste (BCT) shows a positive attitude toward tiger conservation, which coincides with findings by <xref ref-type="bibr" rid="B10">Carter et&#xa0;al. (2014)</xref> and <xref ref-type="bibr" rid="B14">Dhungana et&#xa0;al. (2022)</xref>. This also corroborates the finding of <xref ref-type="bibr" rid="B27">Heinen (1993)</xref> in Koshi Tappu Wildlife Reserve, Nepal, where higher-caste Hindus were more supportive of wildlife conservation. Additionally, in India, nomadic hunting tribes (often lower social strata) were involved in killing tigers, partly due to economic pressure and cultural practices (<xref ref-type="bibr" rid="B38">Malviya et al., 2022</xref>). However, <xref ref-type="bibr" rid="B5">Bhattarai et&#xa0;al. (2013)</xref> concluded that <italic>Tharu</italic> Janjati show a more positive attitude toward forest and resource conservation, which contradicts our findings. As the <italic>Tharu</italic> are the native residents and have been involved in the early stages of tiger conservation, and also because of their dependency on the forest, they are more vulnerable to tiger attacks, which may lead them to develop a negative attitude toward tiger conservation. Our study found a significant link between education and attitudes toward tiger conservation, while <xref ref-type="bibr" rid="B54">Shahi et&#xa0;al. (2023)</xref> observed a positive association. Similarly, in Kenya, the education level did not correlate with attitudes toward elephant conservation (<xref ref-type="bibr" rid="B21">Gadd, 2005</xref>). Also, <xref ref-type="bibr" rid="B38">Malviya et al., 2022</xref> concluded that in India, education was inversely related to negative opinions about tiger conservation, while <xref ref-type="bibr" rid="B10">Carter et&#xa0;al. (2014)</xref> and <xref ref-type="bibr" rid="B14">Dhungana et&#xa0;al. (2022)</xref> highlighted education&#x2019;s crucial role in tiger conservation in Chitwan National Park.</p>
<p>Community people are very interested in protecting tigers, even though human&#x2013;tiger conflicts are rising. This positive view may come from their town&#x2019;s &#x201c;Tigerland&#x201d; reputation and the revenue they make from tiger tourism (<xref ref-type="bibr" rid="B26">Gurung et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B31">Karanth and Nepal, 2012</xref>; <xref ref-type="bibr" rid="B9">Carter et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B4">Bhattarai and Fischer, 2014</xref>; <xref ref-type="bibr" rid="B8">Carter and Allendorf, 2016</xref>; <xref ref-type="bibr" rid="B47">Pudasaini, 2020</xref>). Notably, economic status positively affected attitudes toward tiger conservation, similar to the findings reported by <xref ref-type="bibr" rid="B14">Dhungana et&#xa0;al. (2022)</xref>. We assume that the positive attitudes of well-off families may have mainly stemmed from their better access to conservation awareness, education, conservation benefits, and relief payments, as well as their enhanced capacity to cope with potential costs of tiger conservation. Since education can foster greater tolerance toward carnivores by shaping attitudes through rational thinking (<xref ref-type="bibr" rid="B59">Woodroffe et&#xa0;al., 2005</xref>) and expanding understanding of predator conservation (<xref ref-type="bibr" rid="B19">Espinosa and Jacobson, 2012</xref>), it is essential to strengthen conservation education programs, particularly for illiterate and less-educated communities living near the park.</p>
<p>Our study found that over 50% of the respondents were involved in daily wage work, such as guiding, driving, and other tourism-related activities. Indeed, 71% of local people are in favor of tiger conservation, indicating that the local people in the study area are more likely to be engaged in and benefit from ecotourism activities. They get seasonal employment in lower-paid positions, particularly as housekeepers and cooks in hotels, and this supports the positive attitudes of the community people toward tiger conservation. However, <xref ref-type="bibr" rid="B54">Shahi et&#xa0;al. (2023)</xref> observed that in BNP, the community had negative attitudes because of conflict with the park staff and military guards, as well as ineffective service delivery from the national park office. Due to the community&#x2019;s heavy reliance on agriculture and livestock rearing, the short-term impact indicates that individuals who farm cows, buffalos, ducks, chickens, sheep, or goats are experiencing greater economic losses due to human&#x2013;wildlife conflict.</p>
<p>The dependency on the park resources also influenced residents&#x2019; attitude (<xref ref-type="bibr" rid="B54">Shahi et&#xa0;al., 2023</xref>), but despite their high dependence on forest resources, community people had a positive attitude toward tiger conservation. However, <xref ref-type="bibr" rid="B54">Shahi et&#xa0;al. (2023)</xref> concluded that the community had a negative attitude toward the park management. Also, retaliatory killing of tigers has been reported in other tiger-occupied landscapes (<xref ref-type="bibr" rid="B40">Miquelle et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B23">Goodrich et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B15">Dhungana et&#xa0;al., 2016</xref>). However, in BNP, no retaliatory killing of tigers has been recorded up to 2024, despite a sevenfold increase in the tiger population and a high density of 7.15 (SD 0.38) by 2022 (<xref ref-type="bibr" rid="B18">DNPWC and DFSC, 2022</xref>). This exemplifies how community engagement and perceived benefits can mitigate conflict, providing a compelling blueprint for other carnivore-dense landscapes across South and Southeast Asia. With the increasing tiger population and high tiger density, this may lead to a rise in human&#x2013;wildlife conflict in the near future if conservation efforts are not undertaken. Our study also concluded that human&#x2013;tiger conflict is becoming very high, as in 5 years, a total of 18 individuals were killed and 10 people were injured. Despite the escalating human&#x2013;tiger conflicts, the local community&#x2019;s remarkable (71%) positive attitude toward tiger conservation offers a critical pathway for coexistence. This increasing conflict in BNP mirrors a pressing challenge for tiger conservation and the wellbeing of rural communities across tiger-bearing landscapes (<xref ref-type="bibr" rid="B22">Goodrich, 2010</xref>).</p>
<p>The study found that local respondents believe that conservation education, wildlife monitoring training, net wire fences, and fair relief payments are essential. These measures, also suggested by <xref ref-type="bibr" rid="B30">Kadariya et&#xa0;al. (2023)</xref>, are seen as crucial for fostering human&#x2013;wildlife coexistence and maintaining ecological balance. To achieve sustainable carnivore conservation, particularly for iconic species like tigers, a broader, multi-faceted approach is imperative. While our study is based on a limited sample size of households (n = 438) and identified key socio-demographic factors, future research must&#xa0;delve deeper into the causative factors shaping these perceptions and critically examine how the equitable access to and distribution of conservation benefits directly influence stakeholders&#x2019; attitudes. Incorporating the perspectives of a wider array of stakeholders, including local government bodies, community-based organizations, and non-governmental organizations, is essential for crafting comprehensive conservation strategies that transcend local boundaries. The insights from Bardiya National Park highlight that genuine coexistence between humans and large carnivores is not an idealistic goal but an achievable reality, contingent upon understanding the complex interplay of social, economic, and ecological factors, and fostering a shared vision where both human wellbeing and biodiversity thrive.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies involving humans because the data were collected using anonymous, voluntary questionnaires focused solely on perceptions and socio-economic information. No sensitive personal data were gathered, and all participants provided informed verbal consent prior to participation. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements because no personally identifiable or sensitive information was collected, and participation was entirely voluntary. Verbal consent was obtained from all respondents prior to the survey, in line with local cultural practices and ethical norms.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>PS: Methodology, Writing &#x2013; review &amp; editing, Formal analysis, Data curation, Writing &#x2013; original draft, Conceptualization. RK: Conceptualization, Funding acquisition, Writing &#x2013; review &amp; editing, Investigation, Methodology, Supervision. NS: Methodology, Conceptualization, Writing &#x2013; review &amp; editing, Investigation, Validation, Supervision, Funding acquisition. UP: Writing &#x2013; review &amp; editing, Methodology, Data curation, Investigation. RBKC: Writing &#x2013; original draft, Formal analysis, Methodology, Writing &#x2013; review &amp; editing, Investigation, Data curation, Conceptualization.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the National Trust for Nature Conservation&#x2013;Bardiya Conservation Program (NTNC&#x2013;BCP) for the technical support and field data collection.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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 id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<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.frontiersin.org/articles/10.3389/fcosc.2025.1623056/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcosc.2025.1623056/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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