Introduction
Although translocations are an important tool for the conservation of biodiversity, less attention has been paid to their role in promoting human–wildlife coexistence. Unlike the term human–wildlife conflict, understandings of human–wildlife coexistence distinguish between impacts on humans caused by wildlife, and conflicts between humans over wildlife, typically between wildlife conservationists and those involved in alternative land uses (Marchini, Reference Marchini, Verdade, Lyra-Jorge and Piña2014; Redpath et al., Reference Redpath, Bhatia and Young2015; Mishra et al., Reference Mishra, Redpath, Suryawanshi, McCarthy and Mallon2016). Conflict scenarios frequently involve large mammals, especially carnivores (Ripple et al., Reference Ripple, Estes, Beschta, Wilmers, Ritchie and Hebblewhite2014), and translocation has been suggested as a means to remove problem individuals and promote human–carnivore coexistence (Inskip & Zimmerman, Reference Inskip and Zimmerman2009; Treves et al., Reference Treves, Wallace and White2009). The translocation of prey species to reduce livestock depredation by predatory species, however, has received limited consideration.
In comparison to the biological and ecological aspects of conservation translocations, the socio-economic and political ramifications are poorly understood or have been neglected altogether (Armstrong & Seddon, Reference Armstrong and Seddon2008), despite IUCN guidelines that promote social feasibility assessments as a necessary complement to biological assessments (IUCN/SSC, 2013). A number of studies, however, have explored these dimensions, including translocations of prairie dogs Cynomys spp. in the USA (Reading & Kellert, Reference Reading and Kellert1993) and of European bison Bison bonasus in Lithuania (Balčiauskas & Kazlauskas, Reference Balčiauskas and Kazlauskas2014). Qualitative data can enhance such assessments (White et al., Reference White, Jennings, Renwick and Barker2005), allowing insights into the varying factors that influence attitudes towards large mammals (Kansky & Knight, Reference Kansky and Knight2014), and the intrinsic and extrinsic motivations that influence these attitudes (De Young, Reference De Young1996; Richardson & Loomis, Reference Richardson and Loomis2009). Intrinsic motivations refer to reasons related to nature in and of itself, and extrinsic motivations refer more to the impacts of, or use of, nature, whether positive or negative.
In Sagarmatha National Park, Nepal, the translocation of a population of blue sheep Pseudois nayaur to increase the availability of wild prey and thus decrease the number of livestock depredations by snow leopards Panthera uncia has been suggested (Aryal et al., Reference Aryal, Brunton and Raubenheimer2013; Ferretti et al., Reference Ferretti, Lovari, Minder and Pellizzi2014). Snow leopards were believed to have been absent from the Park for 40 years (Ale et al., Reference Ale, Yonzon and Thapa2007), but have recolonized the area and now have a density of 1.8 per 100 km2 (DNPWC, 2013), similar to the neighbouring Qomolongma National Nature Reserve in Tibet (Chen et al., Reference Chen, Gao, Wang, Pu, Lhaba and Hu2017). The Near Threatened Himalayan tahr Hemitragus jemlahicus is the primary prey species of the snow leopard but its low densities may be limiting the recovery of the snow leopard population within the Park, and contributing to household livestock losses (Lovari et al., Reference Lovari, Boesi, Minder, Mucci, Randi, Dematteis and Ale2009; Aryal et al., Reference Aryal, Brunton and Raubenheimer2013).
Although the proposal to translocate blue sheep to ameliorate this situation has been based on a favourable habitat assessment (Aryal et al., Reference Aryal, Brunton and Raubenheimer2013), a social feasibility assessment has not previously been conducted. The disputed presence of blue sheep historically in the Park further complicates the situation as the IUCN guidelines suggest particular caution be exercised when considering translocations of species new to an area (IUCN/SSC, 2013). Some sources have recorded historical blue sheep sightings in the area (Adhikari et al., Reference Adhikari, Shrestha, Routh and Shrestha2013; Hillary & Doig, Reference Hilary and Doig1962, cited in Lovari & Mishra, Reference Lovari, Mishra, McCarthy and Mallon2016) but others argue against its historical distribution locally (S. Ale, pers comm.). The species has been recorded historically in the neighbouring Rolwaling Conservation Area but not in recent times (Ale et al., Reference Ale, Thapa, Jackson and avid Smith2010).
This study was designed to address the various components of a social feasibility assessment for conservation translocation (IUCN/SSC, 2013), utilizing the Sustainable Livelihoods Framework (Chambers & Conway, Reference Chambers and Conway1992; Scoones, Reference Scoones1998), which assesses how households access a range of tangible and intangible assets to create a livelihood and manage associated risks. The study posed the following three questions: What are local attitudes to the proposed blue sheep translocation? What factors best explain these attitudes? What are the motivations behind local attitudes?
Study area
Sagarmatha National Park (Fig. 1) was gazetted in 1976, with a later buffer zone introduced in 2002. Habitat gradients exist between permanent snow at 8,848 m and temperate oak and pine forests at 2,845 m (Bhuju et al., Reference Bhuju, Shakya, Basnet and Shrestha2007), with snow leopard habitat characterised by subalpine and alpine vegetation at 3,500–5,500 m. According to the most recent census, 3,500 people permanently live in 63 settlements within the Park, with an overall population density of 0.33 people/km2 (Government of Nepal, 2012). Residents are mostly engaged in a combination of agro-pastoralism and tourism for their livelihoods and a centralised conservation governance regime is in place in the Park, with some local devolution following the introduction of the buffer zone (Bhuju et al., Reference Bhuju, Shakya, Basnet and Shrestha2007).
Sagarmatha National Park, showing sampling locations and dates in 2014 on which respondents’ attitudes to the proposed translocation of blue sheep Pseudois nayaur were assessed.
Methods
Questionnaires
A household questionnaire (Supplementary Material 1) was developed, with both closed and open questions (White et al., Reference White, Jennings, Renwick and Barker2005); potential explanatory variables were included, based on a systematic literature review. Alongside typical demographic factors a livelihoods index based on the Sustainable Livelihoods Framework (DFID, 1999; Steimann, Reference Steimann2005), with a potential range of 0–1, was included, as were measures of attitudes to snow leopards and snow leopard conservation measured on five-point Likert scales (JHH, unpubl. data). A summative attitudinal scale, using a five-point Likert scale, was employed to measure attitudes to the proposed translocation. Questions involving identification of blue sheep and snow leopards used colour photographs of similar-sized herbivores and carnivores present in the study site or in similar protected areas in Nepal (Wildscreen, 2014). The draft household questionnaire was first piloted with a sample of 24 households outside the Park.
Questionnaire data were collected from 260 individuals in the Park during February–March 2014, by two Nepali research assistants, in either English or Nepali. Systematic sampling was used because of the informal nature of many of the settlements and the absence of a sampling frame. Every fourth house in each settlement was sampled, an approach similar to studies elsewhere in Nepal (Paudel & Thapa, Reference Paudel and Thapa2001). To promote and ensure reliability, random back-checking of 10% of surveys was conducted (White et al., Reference White, Jennings, Renwick and Barker2005). Respondents unfamiliar with blue sheep, or unable to identify it from the photograph, were shown the correct image and given a description of the species before proceeding.
Following trends in recent analyses of attitudes to the snow leopard (Suryawanshi et al., Reference Suryawanshi, Bhatia, Bhatnagar, Redpath and Mishra2014; Alexander et al., Reference Alexander, Chen, Damerell, Youkui, Hughes, Shi and Riordan2015), the attitudinal scales used were all treated as continuous data. Based on this approach, the regression models were therefore used for explanation rather than prediction (Mac Nally, Reference Mac Nally2000). Data for household livestock owned and household livestock lost to snow leopards were transformed to a log10 scale before inferential analysis, following Zimmermann et al. (Reference Zimmermann, Walpole and Leader-Williams2005). Inter-observer and inter-coder reliability were both tested, using paired sample t tests (Sakurai et al., Reference Sakurai, Jacobson and Carlton2013). Cronbach's alpha test score for the blue sheep translocation attitudinal scale was 0.954, indicating a high degree of reliability.
A multiple regression model was used to explore the variables that best explained attitudes towards blue sheep translocation. Data were checked to ensure they met the necessary assumptions for multiple regression models (Field, Reference Field2013). Hierarchical entry based on theoretical suitability was used and model selection used the R 2 change results to determine goodness-of-fit (Mac Nally, Reference Mac Nally2000). P-P plots to test for normality in multiple regression models indicated some evidence of non-normality in the dependent variable, and bootstrapping was therefore used for the final model (Field, Reference Field2013).
Interviews
The focus of the semi-structured interviews was to provide concurrent, cross-method triangulation with the questionnaire data by interviewing key informants (Mikkelsen, Reference Mikkelsen2005). The questions followed the outline of the household survey, and interview sampling followed the framework developed for the household questionnaires, with the aim of collecting 10% of the number of surveys administered. Twenty-six interviews were conducted and there was a bias in the sample towards community and conservation leaders, with Buddhist monks, teachers and women's group leaders being the next three most numerous groups. The interviews were usually administered in Nepali by a research assistant, with either JHH or MS present. A small number of interviewees agreed to be interviewed in English. After transcription, the interview data were analysed both quantitatively and qualitatively to triangulate and complement the questionnaire analysis.
Results
The majority of questionnaire respondents were previously unfamiliar with blue sheep (73.1%) and were unable to positively identify it from a photograph (76.5%). When asked whether translocating a new prey species to the area would reduce livestock depredation by snow leopards, 10% completely agreed, 35.4% agreed, 41.5% were neutral, 12.3% disagreed and 0.8% completely disagreed. On being asked whether a population of blue sheep should be translocated to the Park, 13.5% completely agreed, 49.2% agreed, 22.7% were neutral, 13.5% disagreed and 1.1% completely disagreed. The Likert scale results from these two questions were scored and combined to create the blue sheep translocation attitudinal scale, with a mean of 3.51 ± SD 0.82. Triangulation interviews, however, showed reduced levels of support for translocation, with slightly higher levels of neutral sentiment, and a lower proportion agreeing with the idea (Table 1).
Key informant attitudes to proposed blue sheep Pseudois nayaur translocation in Sagarmatha National Park.
Explaining local attitudes
In the multiple regression model (Table 2) two variables best explained attitudes to the proposed blue sheep translocation. Gender made the single biggest contribution, with women being significantly less positive than men. The only other significant predictor was total livestock owned per household, which had a negative relationship with attitudes to blue sheep translocation. Age and education were included in the model but did not make significant contributions. The model had low explanatory power overall (R 2 = 0.096), suggesting that factors not considered in the study are likely to be influential. In addition, a number of variables excluded from the model had significant relationships in univariate analysis. Those with more education (r = 0.036, P = 0.002), who were younger (r = −0.007, P = 0.024), who were less than ‘very religious’ (t = 3.04, P = 0.009) and who were more positive towards snow leopard conservation (r = 0.15, P = 0.005), were all significantly more positive towards the translocation of blue sheep.
Linear model exploring attitudes to proposed blue sheep translocation in Sagarmatha National Park (N = 260, R 2 = 0.096; this model had the highest significant R 2 change score (0.040, P < 0.001) of the six models tested).
195% bias corrected and and standard errors are based on 1,000 bootstrap samples.
20, male; 1, female.
Motivations behind local attitudes
A range of motivations were given for questionnaire and interview respondents’ attitudes to the proposed translocation (Fig. 2). Approximately one third of questionnaire respondents gave a positive intrinsic reason, such as cultural or religious beliefs. Positive comments also related to the tourism potential of having blue sheep in the area, with one respondent stating that ‘For the tourism aspect it's good as people might come to see the animal’ (microcredit cooperative officer). The potential of the translocation to reduce livestock depredation by snow leopards was also voiced: ‘As the snow leopard's preferred prey, it may help to reduce livestock losses if its population is growing well. Also it's good to have a new animal in our valley’ (teacher).
Reasons given by 260 questionnaire respondents for their attitudes towards proposed blue sheep translocation.
Negative reasons were the next most common motivator and were corroborated by triangulation interviews (Table 1). Of those who provided negative reasons in questionnaires and interviews, potential crop damage was a common concern: ‘If the blue sheep don't cause damage the way the Himalayan thar does, then it would be good to have it. Otherwise there is no use to bring such a species’ (conservation leader); ‘If it also destroys the crops in the way the thar do then it's not good to translocate it…In that case people won't accept blue sheep here’ (youth leader).
Additional concerns included whether the species was native to the area and whether the blue sheep translocation would detract from other conservation activities: ‘We should focus on conserving the species here and the blue sheep in its own habitat. Introducing it will hamper the conservation of other species here’ (teacher) and ‘Instead of artificial conservation with blue sheep we would be better to think of ways to increase the number of tahr’ (conservation leader).
Further questionnaire information
The mean age of respondents was 41 years (range 16–86). Years of education were 0–15, with a mean of 4. Of those surveyed 56.9% were men and 43.1% women, and the majority of respondents were local (83.6%) rather than non-local (16.5%). Most of those surveyed were Buddhist (87.3%), and the remainder were classed as ‘other’ (12.7%) with respect to their religious beliefs. With the five-point Likert scale used to measure religiosity, there was a lack of data for categories three to five and these were collapsed into category two. Less than ‘very religious’ respondents therefore comprised 49.2% of those surveyed and the very religious 50.8%. Finally, 41.9% of respondents were able to positively identify a snow leopard.
The mean attitude score towards snow leopards was 3.57 ± SD 0.97 and the mean attitude score towards snow leopard conservation was 3.98 ± SD 0.39. A number of respondent attributes were also considered at the household level. The mean Sustainable Livelihoods Index score was 0.53 ± SD 0.12, mean number of livestock owned per household was 5.43 ± SD 9.04, and mean self-reported livestock losses to snow leopards in the previous 12 months were 0.26 ± SD 0.60 per household (range 0–9).
Discussion
The ecological viability of translocating a species into an area is often the sole consideration of a study, with the socio-economic impacts regularly overlooked (Armstrong & Seddon, Reference Armstrong and Seddon2008). This is true of earlier research on the potential translocation of blue sheep to the Park (Aryal et al., Reference Aryal, Brunton and Raubenheimer2013), which considered only the ecological viability of the proposal. Yet participation and consultation have been identified as critical factors in the success of human–carnivore coexistence projects (Treves et al., Reference Treves, Wallace and White2009), and we therefore aimed to explore local attitudes towards the proposed translocation. Questionnaire data from our social viability assessment showed moderate levels of support for the reintroduction of blue sheep to Sagarmatha National Park, with 62.7% ‘agreeing’ or ‘completely agreeing’ with the idea. However, the more nuanced and critical reflections apparent in the triangulation interviews suggest that these data may overlook some of the local residents’ reservations about the proposal. Data from the interviews also affirmed the importance of probing depth of knowledge, rather than just breadth of knowledge, in questionnaire research for conservation (White et al., Reference White, Jennings, Renwick and Barker2005).
Explaining local attitudes
The significance of gender in explaining attitudes in this study has not been universally matched elsewhere in attitudes towards conservation translocations, although it has proved significant in explaining attitudes towards snow leopards (Suryawanshi et al., Reference Suryawanshi, Bhatia, Bhatnagar, Redpath and Mishra2014; Alexander et al., Reference Alexander, Chen, Damerell, Youkui, Hughes, Shi and Riordan2015). Although women were less positive towards reintroduced European bison in Lithuania (Balčiauskas & Kazlauskas, Reference Balčiauskas and Kazlauskas2014), men were less positive towards the idea of wolf reintroductions in North America and Europe than women (Williams et al., Reference Williams, Ericsson and Heberlein2002). However, gender was ranked as the fifth and fourth most important predictor in these studies, respectively. The difference in our study may be the developing-world context, where women are often more involved in, and dependent on, resource extraction, including agropastoralism, than men and are therefore more likely to display negative attitudes towards perceived threats to such activities (Alexander et al., Reference Alexander, Chen, Damerell, Youkui, Hughes, Shi and Riordan2015).
Total livestock owned per household was the other significant explanatory factor in the regression model, and had a negative relationship with attitudes to blue sheep translocation. Although the justification for the proposed translocation of blue sheep to the Park has been to reduce livestock depredation by increasing wild prey availability for snow leopards (Aryal et al., Reference Aryal, Brunton and Raubenheimer2013; Ferretti et al., Reference Ferretti, Lovari, Minder and Pellizzi2014; Lovari & Mishra, Reference Lovari, Mishra, McCarthy and Mallon2016), these findings suggest that it is those people most likely to benefit from the proposal who may be amongst those most opposed. Fears over competition for forage, as well as crop and livestock losses, may drive this perspective, as found elsewhere with black-footed ferrets Mustela nigripes and praire dogs in the USA and blue sheep in China (Reading & Kellert, Reference Reading and Kellert1993; Alexander et al., Reference Alexander, Chen, Damerell, Youkui, Hughes, Shi and Riordan2015).
Motivations behind local attitudes
The motivations for attitudes to the proposed translocation were more nuanced and critical than the attitudes themselves, with more respondents giving negative, or mixed positive and negative reasons, as is common in other contexts (De Young, Reference De Young1996; Richardson & Loomis, Reference Richardson and Loomis2009). The triangulation interviews provided additional context and rationale for local perspectives. Of those who had negative or mixed attitudes and motivations, potential crop damage was the most common concern, as it represents a clear threat to local livelihoods (Chambers & Conway, Reference Chambers and Conway1992; Scoones, Reference Scoones1998). This is consistent with research on blue sheep in China (Alexander et al., Reference Alexander, Chen, Damerell, Youkui, Hughes, Shi and Riordan2015) and with prairie dogs in the USA (Reading & Kellert, Reference Reading and Kellert1993).
Conclusion
This study has indicated there are mixed levels of support for blue sheep translocation. However, the low explanatory power of the model limits the extrapolations and inferences that can be made. Future studies should consider a wider number of potential explanatory variables in regression modelling. In addition, concern over whether blue sheep are native to the Park, and whether translocation would prove a distraction from existing conservation efforts for other species, was the second most common issue raised in the triangulation interviews. This reflects the ongoing debate about whether blue sheep are, in fact, native to the area, with conflicting opinions between published sources (Adhikari et al., Reference Adhikari, Shrestha, Routh and Shrestha2013; Aryal et al., Reference Aryal, Brunton and Raubenheimer2013; Hillary & Doig, Reference Hilary and Doig1962, cited in Lovari & Mishra, Reference Lovari, Mishra, McCarthy and Mallon2016) and expert opinion (S. Ale, pers comm.). Alleviating the concerns of local residents about the historical presence and potential impacts of blue sheep is likely to be key to any further planning or implementation regarding the translocation of the species to the Park. Given this, we recommend further research and consultation on the proposal.
Acknowledgements
We thank all the residents of Sagarmatha National Park who took part in our surveys, Niki Shrestha for additional research assistance and Phil Stickler for creating the map. JHH was supported by the Economic and Social Research Council grant ES/J500033/1. We are grateful to the Department of National Parks and Wildlife Conservation for permission to conduct our fieldwork in the Everest area.
Author contributions
Conceptualization of study and methods: JHH and AA; funding acquisition and data analysis: JHH; fieldwork and initial writing: JHH, MS and RPL; revision and editing: AA and MD. All authors approved the final version for submission.
Conflicts of interest
None.
Ethical standards
This research complies with the journal's Code of Conduct for authors. Ethical approval was provided by the Department of Geography's Ethics Review Group at the University of Cambridge.
