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Human-elephant conflict induced social vulnerability of subsistence farmers in Nepal
Abstract
Asian elephants (Elephas maximus) are endangered mega-herbivores, occur in different parts of human-dominated landscapes in Asia, and are often involved in crop raiding, property damage, and attacks on humans. Their impact on the social vulnerability of subsistence farmers remains poorly understood. In this study, we examined the social dimensions of human–elephant conflict (HEC) and its effects on the livelihoods of subsistence farmers in Nepal’s Tarai landscape during 2016–2020. Approximately 90% of respondents (n = 1,060) reported experiencing increased HEC in the past five years, including crop damage (47%), property losses (38%), and human casualties (15%), with Bardiya and Jhapa districts exhibiting the highest exposure and sensitivity to HEC. The Social Vulnerability Index, based on the Sustainable Livelihood Framework, indicated medium to high vulnerability to crop loss, with physical capital showing the greatest vulnerability, followed by financial capital, and human capital the lowest. These findings highlight that limited adaptive capacity significantly increases the risk of elephant-induced crop loss in Nepal. Strengthening effective, context-specific crop protection strategies, particularly through improved physical infrastructure and enhanced financial support at the farm level, is urgently needed.
Keywords:
crop raiding
human-elephant conflict
Sustainable Livelihood Framework
Tarai Arc Landscape
property loss
social vulnerability
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1. Introduction
Humans and wildlife while sharing the same landscape, come in interaction with each other, which sometimes leads to negative consequences such as wildlife causing physical, economic, or psychological harm to humans and humans persecuting wildlife (Bhushal, Wolde, & Lal, 2024; Lozano et al., 2019; Mekonen, 2020). With increasing fragmentation and degradation of natural habitats, wildlife are pushed to close proximity of human settlements and agriculture areas, increasing chances of negative interactions. These interactions are complex and context-specific, with the intensity of the impact depending on the characteristics of landscape, socio-economic context the species involved, and the adaptive capacity of local communities (Dickman, 2010; Ram et al., 2022; Redpath et al., 2013). Wildlife caused damage often disproportionately increase social vulnerability, particularly among local communities living in near to forest or protected areas, as repeated or severe negative interactions with wildlife undermine their livelihoods (Acharya, Paudel, Neupane, & Köhl, 2016; Lamichhane et al., 2018; Pereira, Rosalino, Ekblom, & Santos, 2024; Pereira et al., 2021).
The Asian elephant (Elephas maximus) is one of the endangered mega-herbivores living in human-dominated and highly fragmented landscapes. With destruction of habitats and their traditional migratory routes, they often come in confrontation with humans causing frequent incidents of crop raiding, property damage, and human casualties (Acharya et al., 2016; Bhushal et al., 2024; Pandey, Yadav, Selvan, Natarajan, & Nigam, 2024; Ram, Mondol, et al., 2021). Over 700 human deaths on elephant attacks are reported annually with highest in India (~ 500 human deaths annually) followed by Sri Lanka, Bangladesh and Nepal (Köpke et al., 2024; Pandey et al., 2024; Prakash, Wijeratne, & Fernando, 2020). Human–elephant conflict (HEC) is widespread, complex, contextual, and severe, influenced by multiple ecological and anthropogenic drivers. These factors include cropping practices and crop seasonality, settlement locations along elephant migratory routes, proximity to forests, protected areas, and water sources, as well as forest degradation, habitat fragmentation, agricultural expansion into elephant habitats and movement corridors (Acharya, Paudel, Jnawali, Neupane, & Köhl, 2017; Neupane, Johnson, & Risch, 2017; Pozo, Coulson, McCulloch, Stronza, & Songhurst, 2017; Prins, Liefting, & De Jong, 2022; Ram, Mondol, et al., 2021; Ram, Yadav, et al., 2021; Ram et al., 2022). In addition, the composition characteristics of the elephant or groups, whether a solitary “problem elephant” bull, a small herd, or a large herd, also influences the severity of conflict (Ram, Mondol, et al., 2021). Similarly, the socio-economic condition of local communities is also associated with HEC, especially the subsistence farmers, who live on proximity of forests, rely on small-scale farming with limited access to resources and governance, proper housing, and alternative livelihood opportunities are more vulnerable (Neupane et al., 2017; Nyirenda, Nkhata, Tembo, & Siamundele, 2018; Prins et al., 2022; Ram et al., 2022). Moreover, human behavior towards elephant is also one of the most prominent factor triggering human fatalities in elephant attacks (Ram, Mondol, et al., 2021).
To cope with exposure (the frequency with which people, property, or crops come into contact with elephants, and sensitivity (the extent to which people or their livelihoods are adversely affected when such encounters occur) associated with HEC, local communities and governments have adopted various strategies. One widely used approach is the Sustainable Livelihood Framework (SLF), which identifies five key capital assets, such as human, natural, financial, social, and physical, that help buffer livelihood risks (Köpke et al., 2024; Morse, Mcnamara, & Acholo, 2009; Nyirenda et al., 2018). Each capital comprises components that can reduce social vulnerability (the degree to which individuals or communities are at risk due to their social, economic, and environmental conditions), such as awareness and skills development (human capital), local investment and compensation mechanism (financial capital), sustainable use of natural resources to offset losses (natural capital), access to infrastructure (physical capital), and community commitment and cooperation (social capital) (Lienert & Burger, 2015; Nyirenda et al., 2018). However, these components are often underdeveloped or insufficiently prioritized in the Asian context, including in Nepal.
In Nepal there are approximately 200 resident wild elephants and 130–150 transboundary migratory elephants visiting annually from various regions of India (DNPWC/DoFSC, 2025; Ram & Acharya, 2020). Despite the small population size, elephants account for approximately 30% of all humans–wildlife attacks in Nepal. Moreover, crop and property damage from elephants in Southern Terai region is widespread. There are a few studies at local scales and across different time periods in Nepal on nature and extent of such conflicts (Acharya et al., 2016; Baral et al., 2022; Neupane et al., 2017; Pant, Dhakal, Pradhan, Leverington, & Hockings, 2016; Ram, Mondol, et al., 2021). However, the broader impacts of HEC on the social vulnerability of subsistence farmers are little known, despite widespread reports of conflicts in the eastern and western lowlands of Nepal.
In this study, we examined the social dimensions of HEC and assess its impact on the livelihoods of subsistence farmers across Nepal’s east–west elephant distribution range. Specifically, we evaluated the exposure, sensitivity, and adaptive capacity of these farmers to HEC. We hypothesized that subsistence farmers experience higher levels of social vulnerability to HEC due to their limited tolerance and adaptive capacity. The findings provide crucial insights for strengthening livelihood capitals to reduce vulnerability to elephant-induced crop loss, damage and casualties in the Tarai regions of Nepal.
2. Materials and Methods
2.1 Study site
The study area (Fig. 1) extends the elephant range in Nepal (26.4154°N to 29.1134°N latitude and 80.1259°E to 88.0849°E longitude) covering ~ 42,000 km² in 24 districts of the Chure and Tarai regions of Nepal (Ram et al., 2024). The region comprises seven protected areas (five national parks, a wildlife reserve and a conservation area) along with several biological corridors with Nepal and India transboundary connectivity (Bhatt, Castley, Sims-Castley, Baral, & Chauvenet, 2023).
Fig. 1
Map of the study area showing the locations of human–elephant conflict incidents across the Chure–Terai–Madhesh Landscape.
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The study area is home to over 53% of Nepal’s human population, with 65% of residents primarily engaged in agriculture and livestock rearing (National Statistics Office, 2023). Among the agriculture-dependent communities, subsistence farmers rely heavily on forest resources, obtaining about 75% of their energy needs (firewood and fodder) and 37% of livestock feed from forests (FAO, 1999).
The region’s ecosystem harbors successional grasslands dominated by Saccharum species in the floodplain ares to climax forests of Shorea robusta, providing critical habitat for several rare and threatened species, including Asian elephant, tiger, greater one-horned rhino, gaur (Bos gaurus), barasingha (Rucervus duvaucelii), pangolins (Manis spp.), wild dog (Cuon alpinus), wild buffalo (Bubalus arnee), Gangetic dolphin (Platanista gangetica), gharial (Gavialis gangeticus), great hornbill (Buceros bicornis), sarus crane (Grus antigone), Bengal florican (Houbaropsis bengalensis), slender-billed babbler (Argya longirostris), grey-crowned prinia (Prinia cinereocapilla) and several species of vultures (Inskipp et al., 2016; Katuwal, Koirala, Sharma, & Quan, 2025; Ram, Mondol, et al., 2021; Sharma et al., 2025).
The region experiences a mix of tropical to subtropical climate, characterized by hot and humid summers, an intense monsoon season, and dry winters. Temperatures usually range from 35°C to 45°C in summer and 10–20°C in winter, with annual rainfall varying between 1,138 mm and 2,680 mm (Chaudhary & Subedi, 2019).
Figure 1.
2.2 Data collection
2.2.1 Data compilation and arrangement
We compiled records of HEC events from compensation registers and annual reports of the respective Protected Area (PA) offices and Division Forest Offices of Tarai region (Fig. 1). A digital database of HEC incidents was developed and cross-verified with annual reports from the Department of National Parks and Wildlife Conservation and the Department of Forests and Soil Conservation.
In total, 14776 HEC events were documented from the study area between July 2016 and June 2020, including 9,397 cases of crop damage, 5,134 incidents of property damage, 96 human fatalities, and 149 human injuries. From this dataset, we conducted interviews with approximately 7% of total cases, covering 1,060 households across 19 districts. Interviews were carried out between April 2017 and June 2020.
2.2.3 Stakeholder consultations and questionnaire survey
We identified social vulnerability factors and adaptive strategies related to HEC through a comprehensive literature review (Nyirenda et al., 2018). Prior to finalizing the questionnaire, we conducted 30 stakeholder consultations involving local government members, Buffer Zone User Committee members, Community-Based Anti-Poaching Units, and members of Buffer Zone Community Forest User Groups. These consultations helped to validate and refine the list of factors to be assessed. The final framework included survey of socio-economic background and three key dimensions of social vulnerability: (1) exposure, covering perceived predictors such as household demographics, crop types, elephant herd size, and farm size that influence the risk of crop damage; (2) sensitivity, addressing local perceptions of crop raiding patterns of elephants and community responses to the damage; and (3) adaptive capacity, assessed using indicators based on the Sustainable Livelihood Framework (SLF; Table 1; for details questions see Supplementary File S1). These components were incorporated into a semi-structured questionnaire, which was systematically administered at the household level using a random starting point. We interviewed household heads (or member of the household if head is not available) aged 18 years or older, both male and female after receiving consent. In total, 1,060 households were surveyed from 19 districts (Supplementary Table S2).
Table 1
Components and descriptions of social vulnerability to measure the adaptive capacity on human-elephant conflict, categorized under the Sustainable Livelihoods Framework’s components, modified from (Nyirenda et al., 2018; Vedeld, Jumane, Wapalila, & Songorwa, 2012)
Sustainable Livelihood Framework Component
Descriptions
    
1. Human Capital
     
Level of environmental awareness
Critical for understanding elephant behavior, assessing risk, and taking timely preventive actions
Level of formal education
Enhances access to information, understanding of mitigation strategies, and informed decision-making
Ability to respond to health and natural disaster risk
Reflects general preparedness and resilience capacity, contributes to coping with multi-stressor environments
Level of conflict mitigation skills
Indicates individual or community proficiency in using tools or techniques to reduce HEC impacts
Level of access to skills development
Represents access to and participation in training programs that enhance local knowledge and practical abilities for mitigation and livelihood resilience
2. Financial Capital
     
Level of local investment in conflict mitigation
Reflects community ownership and willingness to allocate resources for long-term mitigation
Adequacy of financial resources for conflict mitigation
Represent perceived sufficiency of financial means to implement and sustain mitigation actions
Availability of financial capital for conflict mitigation
Refers to actual access to funds for coping with or recovering from conflict losses
Access to innovation
Reflects the capacity to afford or obtain innovative solutions, such as new crop systems or electric fencing, that improve conflict mitigation
3. Physical capital
     
Existence of conflict mitigation infrastructure
Indicates whether physical measures (e.g., fences, trenches, watchtowers) are present in the area
Adequacy of conflict mitigation infrastructure
Assess whether existing measures cover sufficient areas and areas suitable for local needs
Affordability of conflict mitigation measures
Highlights economic barriers that may limit adoption or maintenance of protective infrastructure
Effectiveness of existing conflict mitigation infrastructure
Measures the perceived or demonstrated success of infrastructure in reducing HEC incidents
4. Natural Capital
     
Contribution of natural resources to local socio-economic and cultural wellbeing
Captures the importance of natural systems (e.g., forest, wetlands) to livelihoods, food security and cultural identity
Adequacy of natural resource base to supplement for livelihoods
Reflects the capacity of local natural resources to support sustainable human use without intensifying conflict
Effectiveness of elephant habitat management practices
Indicates how well landscape and habitat strategies (e.g., protected areas, buffer zones, corridors) reduce conflict and support coexistence
Level of crop diversification
Represents the extent to which farmers grow mix of crops to reduce dependency on conflict-prone crop varies and improve livelihood resilience
5. Social Capital
     
Level of community commitment to conflict mitigation
Demonstrates the willingness and motivation of local people to participate actively in HEC solutions
Level of trust in conflict mitigation efforts
Reflects confidence in government, NGOs, or community institutions managing and supporting mitigation efforts
Strength of social networks for conflict mitigation
Indicates the availability and usefulness of local relationships in mobilizing help and information during conflict
Level of community cooperation in conflict mitigation
Represent collective action, shared responsibility and coordination among households or groups
Level of social coherence
Reflects the strength of shared norms, values and mutual support system that facilitate coordinated community response to HEC
Use of traditional ecological knowledge
Indicates reliance on indigenous knowledge and practices (e.g., crop selection, natural deterrent) to reduce conflict risk and promote coexistence
2.3 Data analysis
We used descriptive statistics to summarize the data and employed contingency tables along with chi-square tests to examine the associations between socio-economic variables and two key components of social vulnerability: exposure and sensitivity to crop loss caused by elephants. The socio-economic variables included: gender (male/female); age, categorized as < 24, 25–44, and > 45 years; and ethnicity, classified into Brahmin-Chhetri-Thakuri (BCT), Dalit or underprivileged groups, Janajati and indigenous communities (including ethnic groups such as Gurung, Magar, Newar, Tamang, Rai, Limbu, Tharu, Bote, Darai, Rajbanshi, etc.), Madhesi, and Muslim (Ram, Yadav, et al., 2021). Education level was categorized as illiterate (unable to read and write), literate (can read/write but have not attended formal schooling), primary (completed primary school), and secondary or above. Marital status was grouped into married, single, or widowed. Landholding size was categorized as landless, less than 0.5 ha, 0.5–1 ha, and more than 1 ha.
We first assessed the overall HEC scenario and then focused specifically on crop loss to evaluate the exposure and sensitivity components of social vulnerability. To assess adaptive capacity, we applied the SLF, which highlights the role of five key livelihood capitals: financial, human, natural, physical, and social (Nyirenda et al., 2018; Vedeld et al., 2012). Each capital’s component was scored on a four-point scale, such as Absent = 0, Low = 1, Medium = 2, and High = 3, based on its relevance to crop damage and the household’s capacity to adapt.
As we did not have quantitative scores for exposure and sensitivity, we used adaptive capacity as a proxy for social vulnerability, assuming that households with lower adaptive capacity are more socially vulnerable to HEC-induced crop loss. To compute the Social Vulnerability Index (SVI) for each capital, we averaged its component scores (rated from 0 to 3) and calculated the SVI as 1 − (Average adaptive capacity / 3), where values closer to 1 indicate higher vulnerability. All analyses were performed using R statistical software (R Core Team, 2024).
3. Results
3.1 Socio-economic characteristics of farmers
Of the interviewed subsistence farmers, 73% were male and majority (79%) were married (Supplementary Table S3). Nearly half (51%) were literate, having received education ranging from primary to higher degrees, while the remaining were illiterate. Approximately 51% of the respondents had lived in the area for over 50 years, followed by 32% who had resided there for 25–50 years, 11% for 10–25 years; the rest were relatively recent settlers. Most participants (46%) belonged to the Janajati ethnic group, followed by BCT (36%) and Dalit groups (11%), while other ethnicities were represented in smaller proportions (Supplementary Table S2). Among the subsistence farmers, 6% did not own any land, whereas majority (54%) owned less than 0.5 ha, 21% owned between 0.5 and 1 ha, and 19% owned more than 1 ha (Supplementary Table S4).
3.2 Exposure and sensitivity
3.2.1 Overall human-elephant conflict scenarios
We recorded crop damage in at least 67% of households, property damage in 53%, and human casualties (including injuries and fatalities) in 22% of households (Table 2). Less than 1% of households experienced both crop damage and human casualties, 9% faced human casualties and property damage, and 20% had reported crop and property damage, while 7% suffered from all three types of conflicts.
Table 2
Scenarios of human-elephant conflict by ethnic groups in the study area.
Ethnic Group
Human loss (N = 236)
Crop damage (N = 714)
Property damage (N = 571)
BCT
29% (n = 69)
38% (n = 275)
34% (n = 194)
Dalit
14% (n = 34)
10% (n = 68)
12% (n = 67)
Janjati and indigenous community
47% (n = 110)
47% (n = 338)
48% (n = 276)
Madhesi
8% (n = 19)
4% (n = 28)
5% (n = 31)
Muslim
2% (n = 4)
1% (n = 5)
1% (n = 3)
The Janajati and indigenous communities, followed by the BCT, and Dalit communities, experienced higher exposure to human casualties, crop and property damage, indicating a disproportionate impact of HEC to marginalized and vulnerable social groups (Table 2). Bardiya followed by Jhapa district had the highest exposure and sensitivity to the HEC (Fig. 2). We listed some cases of exposure and sensitivity to HEC (Supplementary File S5).
Fig. 2
Exposure and the sensitivity of the human-elephant conflict based on total household survey in Nepal. We grouped all types of human-related incidents under human casualties.
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About 60% of the property damage incidents occurred with households having thatch-roofed houses, followed by households having houses with CGI (galvanized sheet) roofs (35%), with a smaller proportion involving other roof types. Elephant herds (8–45 individuals including calves) were responsible for 42% of these incidents, followed by solitary bulls (37%), with and adult male groups (2–11 individuals) accounting for the remaining cases (21%).
Figure 2.
3.2.2 Elephant-induced crop loss and associated factors
Farmers cultivated 26 crop species, including paddy, maize, wheat, sugarcane, jack fruits, and different fruits and vegetables. These include 93% of food crops, while few others. A majority of farmers (60%) perceived an increase in HEC incidents, while 19% reported a decrease, and the remaining 21% expressed uncertainty about current trends. Among those affected, 67% reported frequent damage, 22% reported year-round losses, and 11% mentioned occasional damage. Crop raiding exhibited a clear nocturnal pattern, with 72% incidents occurred between 18:00–23:00, 18% between 03:00–05:00, 7% between 10:00–15:00 hours, and the few in other time periods. The total estimated crop loss of the surveyed household was 782.21 metric tons, equivalent to NPR 24.08 million (USD 204,077; 1 USD = 118 NPR during 2020). Losses were highest in Bardiya district, followed by Jhapa and Parsa, while Sarlahi had the lowest impact (Fig. 3). Around 6% reported abandoning farming activities due to elephant crop raiding.
Fig. 3
Elephant-induced crop damage (A) and economic loss (B) in the study area
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There was no association in the exposure of frequency of crop damaged based on the gender (χ² = 2.02, df = 3, p = 0.57), house hold size (χ² = 13.97, df = 9, p = 0.12) and area of land owned (χ² = 15.92, df = 9, p = 0.06), but were variation with the age of the respondent (χ² = 23.23, df = 6, p < 0.001), marital status (χ² = 22.33, df = 9, p < 0.007), education level (χ² = 23.57, df = 12, p < 0.02), ethnic group (χ² = 49.09, df = 12, p < 0.001), and years of residence (χ² = 28.99, df = 12, p < 0.003).
Figure 3.
3.3 Social vulnerabilities and adaptive capacities
Farmers generally exhibited low levels of financial capital to cope with elephant-induced crop losses (Fig. 4). In comparison, most of the components of human capital, such as environmental awareness, level of formal education, and the ability to respond to health and natural disasters, were reported at medium levels by majority of the respondents (Fig. 4). However, both the level of conflict mitigation skills and opportunities for skills development were rated low (Fig. 4). The contribution of natural resources to local socio-economic wellbeing and the extent of crop diversification were mostly rated as low whereas the effectiveness of elephant habitat management was largely absent. Although the availability of natural resources was perceived as high, indicating that ecological buffers may exist but are underutilized or unmanaged (Fig. 4).
Fig. 4
People’s perceptions of social vulnerability to elephant-induced crop damage based on the Sustainable Livelihood Framework, showing variation across human, financial, physical, natural, and social capital components
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Most components of physical capital were rated as low. Among farmers who reported using protective measures, 50% had implemented at least one type of mitigation strategies. Solar fencing was the most used method across HEC prone areas, followed by barbed wire fencing or gabion mesh wire, while trenches and RCC walls gradually evolved with limited coverage. Despite these efforts, 57% of farmers still experienced crop damage, highlighting the inadequacy and limited effectiveness of existing mitigation infrastructure. Similarly, most components of social capital were rated as low, including trust in mitigation efforts, social networks, and community commitment. But community cooperation for HEC mitigation was a notable exception, being predominantly rated as high (Fig. 4; Supplementary File S6).
The average SVI was 0.59, ranging from medium to high level. Physical capital was the highest SVI (0.69), followed by financial capital (0.62), natural capital (0.57), social capital (0.55), and human capital (0.54). The results indicated an elevated risk of elephant-induced crop damage due to communities’ overall limited adaptive capacity.
Figure 4.
4. Discussion
This study provides a comprehensive assessment of socio-economic characteristics, exposure, sensitivity, and adaptive capacities of subsistence farmers relating to HEC in Tarai regions of Nepal. Our findings suggest that HEC remains a pervasive challenge across the elephant affected areas, with crop raiding imposing significant and recurring costs on rural livelihoods. Both the direct impacts of HEC and the underlying vulnerabilities of affected communities are shaped by a combination of demographic, socio-economic, and ecological factors. The subsistence farmers experience high exposure and sensitivity to crop damage but have limited adaptive capacity, particularly due to limited physical and financial capital. This highlights the urgent need to strengthen these livelihood capitals to better cope with HEC in Nepal.
HEC exposure and sensitivity were not evenly distributed among social groups. Janajati and Indigenous and BCT communities were the highest exposure to crop and property damage, while marginalized groups, such as Dalits and Madhesi communities, also experienced substantial human casualties (Bhushal et al., 2024; Pant et al., 2016; Ram, Mondol, et al., 2021). Marginalized communities often live in high-conflict zones due to historical settlement patterns, landlessness, limited access to alternative livelihoods, and residence near forest edges (Ram, Mondol, et al., 2021). The disproportionate burden on socially and economically disadvantaged groups reflects the intersection of ecological risk with structural inequalities, thereby exacerbating vulnerability (Prins et al., 2022).
The estimated total crop loss (782.2 metric tons; NPR 24.08 million/USD 204,077) highlights the severe economic consequences of HEC for subsistence farmers. Fragmented forests and destruction of migratory routes of elephants have increased the risks of crop damage as these areas are still used by elephants despite the expansion of human settlements and agriculture. Unprotected crop fields also increased the exposure of crops to elephant damage (DNPWC/DoFSC, 2025; Ram, Yadav, et al., 2021). The high prevalence of nocturnal crop raiding is consistent with elephant foraging behavior, and it also might be due to farmers’ limited capacity for effective night-time guarding. In addition, the most of these conflicts are due to elephant herds (8–45 individuals) and large solitary bulls and occurred predominantly in the early evening to nearly mid-night (18:00–23:00 hours). Despite receiving compensation, the extent of crop loss and its associated monetary damage remains high, forcing some farmers to abandon agriculture. Bardiya and Jhapa were among the most exposed and sensitive areas lying along the key migratory corridors for transboundary elephants from India, resulting in frequent interactions (Ram, Mondol, et al., 2021).
Socio-demographic variables influenced the risk of elephant-induced crop damage in both direct and indirect ways. For example, households with larger landholdings may be at greater risk if their fields are located along known elephant migratory routes or near forest edges, increasing the likelihood of crop raiding (Acharya et al., 2017; Barnes et al., 2005; Kumar, Bargali, David, & Edgaonkar, 2017; Ram et al., 2022). Similarly, age and marital status also played a role. Adults, particularly those who are married or live in joint families, may be more capable of guarding fields and responding to elephant incursions, compared to younger or single individuals. These patterns suggest that labor availability, household structure, and social roles influence the level of exposure and capacity to respond to conflict events (Ram, Mondol, et al., 2021; Ram et al., 2022). Therefore, socio-demographic factors should be systematically incorporated into vulnerability assessments and the design of HEC mitigation strategies. Such influence of such socio-economic attributes on HEC vulnerability has also been reported in other contexts across Asia and Africa (Köpke et al., 2024; Nyirenda et al., 2018; Ram, Mondol, et al., 2021).
Despite high levels of exposure and sensitivity to elephant-induced crop damage, most farmers in our study area exhibited low level of adaptive capacity. Among the five livelihood capitals, physical capital emerged as the most vulnerable, mainly due to inadequate and ineffective infrastructure for deterring elephants. The reliance on solar fencing and barbed wire, combined with the limited use of trenches and RCC walls, suggests that physical capital investments are neither sufficiently robust nor appropriately matched to local ecological and socio-economic contexts. It highlights both the limitations of these measures and the high vulnerability of financial capital. Financial resilience was further weakened by limited local investment and a compensation system that was often bureaucratic delayed, inconsistent, or inadequate coverage. To address this, the financial mechanisms should be improved through timely, adequate and transparent delivery of adequate compensation to the loss of crops and properties, considerable relief package to the human injuries and casualties. Specific provisions for marginalized and landless households are required. Introduction of insurance schemes should also be promoted in HEC areas as a safeguard against crop and property losses. Similarly, investment and management of natural capital such as habitat restoration, promotion of less preferred but high value cash crops, and sustainable use of natural resources are also necessary to reduce economic damage.
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The human capital indicators such as environmental awareness and education was found as medium levels in this study, technical knowledge, and conflict mitigation skills and training opportunities were scored low. This skills gap is critical as more than half of the farmers who had adopted protective measures still experienced crop damage. The natural capital indicators also revealed vulnerabilities, particularly in the absence of effective elephant habitat management. Although resource availability was perceived as high by majority of the respondents, the lack of strategic ecological interventions (e.g., maintaining corridors, reducing habitat fragmentation) may exacerbate conflict intensity (Lienert & Burger, 2015; Sharma, Bhattarai, Katuwal, & Koirala, 2024). Although social capital, particularly community cooperation and trust, scored relatively higher and has been recognized in other contexts (Lienert & Burger, 2015; Nyirenda et al., 2018), it was not sufficient to mitigate the complex and recurring losses caused by HEC due to low adaptive capacity. Thus, required to strengthening farmers' livelihoods is necessary to reduce the effects of HEC (Efio et al., 2024). Overall, our findings reveal moderate to high levels of social vulnerability among subsistence farmers, reinforcing the need to enhance adaptive capacity, especially through improved physical infrastructure, awareness and more reliable financial support mechanisms.
5. Conclusions and management implications
Our study provides the first comprehensive assessment of the social vulnerability of subsistence farmers to HEC in Nepal. Despite experiencing high levels of exposure and sensitivity, most of subsistence farmers demonstrated low adaptive capacity, resulting in moderate to high levels of social vulnerability. Among the five livelihood capitals, physical and financial capitals were the most deficient, limiting the ability of communities to effectively cope with the impacts of HEC. It also pointed out the need of a multi-dimensional approach to HEC management.
We recommend strengthening physical capital by promoting cost-effective, locally appropriate, and community-managed elephant deterrent infrastructure, such as improved electric fencing, watch towers, early warning systems and rapid response mechanisms. To improve financial capital, provision of timely and adequate relief payments, introduction of insurance schemes, and strategic investments in high-value alternative crops are necessary. Finally, strengthening social capital through local institutions, cooperatives, traditional knowledge, and participatory governance structures can work as a bridge to minimize the gap between community willingness and institutional support. Together, these integrated measures can significantly enhance the adaptive capacity of vulnerable communities and reduce their social vulnerability to HEC.
Ethics declarations
Research permission and ethics:
The research permission was obtained from the Department of National Parks and Wildlife Conservation (DNPWC; Ref. No. 3066/073/74). No live animals were handled in this study. Informed consent from each participant (respondent) was taken during data collection.
Conflict of interests:
Authors declare that they have no conflict of interest.
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Funding:
For this study, the first author was supported by International Elephant Foundation, Rufford Small Grants Foundation and the Department of National Parks and Wildlife Conservation Nepal.
Electronic Supplementary Material
Below is the link to the electronic supplementary material
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Author Contribution
AKR, BRL, NS & HBK designed the study; AKR conducted the field work; AKR, NKY, HBK, & BP analyzed the data; AKR, and HBK wrote the first draft of the manuscript; AKR, BRL, RCK, NS, NKY, SRJ, BP, HSB, HPS, and HBK revised the draft and approved the manuscript.
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Data Availability
All relevant data are within the paper and its supplementary file.
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Acknowledgement
We are thankful to Ministry of Forests and Environment Nepal, Department of National Parks and Wildlife Conservation, National Trust for Nature Conservation, and Zoological Society of London, Nepal office for support at different stages of the study. We are thankful to Bed Kumar Dhakal, Haribhadra Acharya, Bhagwan Raj Dahal, Rabin K.C., Carol Inskip, Binita Khanal, Suman Acharya, Dinesh Ghimire, Badri Chaudhary, Anish Timsina, Ram Sahi, and Shankar Luitel. We are indebted to the support of National Parks/Wildlife Reserve’s Chief Conservation Officers, and Divisional Forest Officers during this study. We also acknowledge Sarah Conley and Deborah Olson from the International Elephant Foundation. This study was supported by International Elephant Foundation, Rufford Small Grants Foundation and the Department of National Parks and Wildlife Conservation Nepal.
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Total words in Title: 10
Total words in Abstract: 179
Total Keyword count: 6
Total Images in MS: 4
Total Tables in MS: 2
Total Reference count: 40