Many wildlife species face imminent extinction because of human impacts, and therefore, a prevailing belief is that some wildlife species, particularly large carnivores and ungulates, cannot coexist with people at fine spatial scales (i.e., cannot regularly use the exact same point locations). This belief provides rationale for various conservation programs, such as resettling human communities outside protected areas. However, quantitative information on the capacity and mechanisms for wildlife to coexist with humans at fine spatial scales is scarce. Such information is vital, because the world is becoming increasingly crowded. Here, we provide empirical information about the capacity and mechanisms for tigers (a globally endangered species) to coexist with humans at fine spatial scales inside and outside Nepal's Chitwan National Park, a flagship protected area for imperiled wildlife. Information obtained from field cameras in 2010 and 2011 indicated that human presence (i.e., people on foot and vehicles) was ubiquitous and abundant throughout the study site; however, tiger density was also high. Surprisingly, even at a fine spatial scale (i.e., camera locations), tigers spatially overlapped with people on foot and vehicles in both years. However, in both years, tigers offset their temporal activity patterns to be much less active during the day when human activity peaked. In addition to temporal displacement, tiger-human coexistence was likely enhanced by abundant tiger prey and low levels of tiger poaching. Incorporating fine-scale spatial and temporal activity patterns into conservation plans can help address a major global challenge-meeting human needs while sustaining wildlife.adaptation | coupled human and natural systems | ecosystem services | overlap | sustainability

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Tigers are globally endangered and continue to decline due to poaching, prey depletion and habitat loss. In Nepal, tiger populations are fragmented and found mainly in four protected areas (PAs). To establish the use of standard methods, to assess the importance of prey availability and human disturbance on tiger presence and to assess tiger occupancy both inside and outside PAs, we conducted a tiger occupancy survey throughout the Terai Arc Landscape of Nepal. Our model‐average estimate of the probability of tiger site occupancy was 0.366 [standard error (se) = 0.02, a 7% increase from the naive estimate] and the probability of detection estimate was 0.65 (se = 0.08) per 1 km searched. Modeled tiger site occupancy ranged from 0.04 (se = 0.05) in areas with a relatively lower prey base and higher human disturbance to 1 (se = 0 and 0.14) in areas with a higher prey base and lower human disturbance. We estimated tigers occupied just 5049 (se = 3) km2 (36%) of 13 915 km2 potential tiger habitat (forests and grasslands), and we detected sign in four of five key corridors linking PAs across Nepal and India, respectively indicating significant unoccupied areas likely suitable for tigers and substantial potential for tiger dispersal. To increase tiger populations and to promote long‐term persistence in Nepal, otherwise suitable areas should be managed to increase prey and minimize human disturbance especially in critical corridors linking core tiger populations.

Information on the abundance of tigers Panthera tigris is essential for effective conservation of the species. The main aim of this study was to determine the status of tigers in Chitwan National Park, Nepal, including the Churia hills, using a camera-trap based mark-recapture abundance estimate. Camera traps (n 5 310) were placed in an area of 1,261 km 2 from 20 January to 22 March 2010. The study area was divided into three blocks and each block was trapped for 19-21 days, with a total effort of 3,582 man-days, 170 elephant-days and 4,793 camera-trap nights. The effectively camera-trapped area was 2,596 km 2 . Camera stations were located 1.5-2 km apart. Sixty-two tigers (age > 1.5 years), comprising 15 males, 41 females and six of unidentified sex, were identified from 344 photographs. The heterogeneity model Mh (jackknife) was the best fit for the capture history data. A capture probability (P) of 0.05 was obtained, generating a population estimate (N) of 125 ± SE 21.8 tigers. The density of tigers in the area, including Churia and Barandabhar (buffer zone forest linked with mid hill forest), was estimated to be 4.5 ± SE 0.35 tigers per 100 km 2 , using a Bayesian spatially explicit capture-recapture model in SPACECAP. Our study showed the use of Churia by tigers and we therefore conclude that the Chitwan tiger population serves as a source to maintain tiger occupancy of the larger landscape that comprises Chitwan National Park, Parsa Wildlife Reserve, Barandabhar buffer zone, Someswor forest in Nepal and Valmiki Tiger Reserve in India.

Human-tiger conflict arises when tigers Panthera tigris attack people or their livestock, and poses a significant threat to both tigers and people. To gain a greater understanding of such conflict we examined spatio-temporal patterns, correlates, causes and contexts of conflict in Chitwan National Park, Nepal, and its buffer zone, during -. Data, mostly from compensation applications, were collected from the Park office. Fifty-four human casualties ( fatalities,  injuries) and  incidents of livestock depredation were recorded, clustered in defined areas, with .% of human casualties occurring in the buffer zone and .% within  km of the Park boundary. A linear model indicated there was a significant increase in human casualties during -. Livestock were killed in proportion to their relative availability, with goats suffering the highest depredation (%). There was a positive correlation between livestock depredation and National Park frontage (the length of Village Development Committee/ municipality boundary abutting the National Park), but not human population, livestock population, forest area in the buffer zone, rainfall or temperature. There was no relationship between tiger attacks on people and any of the correlates examined. Wild prey density was not correlated with conflict. Of the tigers removed because of conflict, .% were male. The majority of attacks on people occurred during accidental meetings (.%), mostly while people were collecting fodder or fuelwood (.%), and almost half (.%) occurred in the buffer zone forests. We recommend the use of the conflict map developed here in the prioritization of preventive measures, and that strategies to reduce conflict should include zoning enforcement, improvement of livestock husbandry, participatory tiger monitoring, an insurance scheme, and community awareness.

Human-induced habitat loss and degradation are increasing the extinction probability of many wildlife species worldwide, thus protecting habitat is crucial. The habitat of thousands of imperiled wildlife species occurs in a variety of land management regimes (e.g., protected areas, multiple-use areas), each exerting differing effects. We used the globally endangered tiger (Panthera tigris) to examine the relationships between habitat change and land management in Nepal's Chitwan district, a global biodiversity hotspot. We evaluated the effects of environmental and human factors on tiger habitat based on data acquired by motion-detecting cameras and space-borne imaging sensors. Spatiotemporal habitat dynamics in Chitwan National Park and a multiple-use area outside the park were then evaluated in three time periods (1989, 1999, and 2009). Our results indicate that tigers preferred areas with more grasslands and higher landscape connectivity. The area of highly suitable habitat decreased inside the park over the entire 20 year interval, while outside the park habitat suitability increased, especially from 1999 to 2009. The loss of highly suitable habitat inside the park may be associated with an increasing trend of unauthorized resource extraction by a rapidly growing human population, coupled with natural processes such as flooding and forest succession. In contrast, community-based management of natural resources and the prohibition of livestock grazing since the late 1990s likely improved tiger habitat suitability outside the park. Results of this study are useful for evaluating habitat change and guiding conservation actions across the tiger range, which spans 13 countries. Moreover, quantitatively assessing habitat change across different land management regimes in human-dominated areas provides insights for conserving habitat of other imperiled wildlife species around the world.

Human-tiger conflict is one of the most critical issues in tiger conservation, requiring a focus on effective mitigation measures. We assessed the mitigation measures used between 2007 and 2014 in Chitwan National Park (CNP) and its buffer zone, which include: compensation payments made to human victims or their families, compensation for livestock loss through depredation, and the removal of tigers involved in conflicts. The data collected from the offices of CNP and the Buffer Zone Management Committee were triangulated during questionnaire surveys (n=83) and key informant interviews (n=13). A total compensation of US$ 93,618 ($11,702.3 per year) was paid for tiger attacks during the eight-year period. Of this, the majority (65%) was in payment for human killings, followed by payment for livestock depredations (29.3%) and for human injuries (5.7%). The payments on average covered 80.7% of medical expenses of injured persons, and 61.7% of the monetary value of killed livestock. Goats had the highest proportion of payments (43.5%) for livestock. A linear model suggested there was an increasing trend in total annual payments from $2,000 in 2007 to $21,536 in 2014, a jump of 976%. A total of 15 tigers were removed from the wild for conflict reasons: 11 by authorities, and four killed by local people in retaliation. Thirteen tigers were removed from the buffer zone alone. The majority of the removed tigers were adults (n=9) and healthy (n=9). Most (n=12) of the removed tigers were killed, or died after removal, indicating greater impacts of tiger-removal in CNP. We suggest that in order to encourage community engagement, compensation payments be paid quickly, an insurance scheme in the buffer zone be promoted, liveremoved tigers be better managed, including radio-tracking of wild released individuals, and awareness programs be targeted at affected communities.

We estimated leopard (Panthera pardus fusca) abundance and density in the Bhabhar physiographic region in Parsa Wildlife Reserve, Nepal. The camera trap grid, covering sampling area of 289 km2 with 88 locations, accumulated 1,342 trap nights in 64 days in the winter season of 2008-2009 and photographed 19 individual leopards. Using models incorporating heterogeneity, we estimated 28 (±SE 6.07) and 29.58 (±SE 10.44) leopards in Programs CAPTURE and MARK. Density estimates via 1/2 MMDM methods were 5.61 (±SE 1.30) and 5.93 (±SE 2.15) leopards per 100 km2 using abundance estimates from CAPTURE and MARK, respectively. Spatially explicit capture recapture (SECR) models resulted in lower density estimates, 3.78 (±SE 0.85) and 3.48 (±SE 0.83) leopards per 100 km2, in likelihood based program DENSITY and Bayesian based program SPACECAP, respectively. The 1/2 MMDM methods have been known to provide much higher density estimates than SECR modelling techniques. However, our SECR models resulted in high leopard density comparable to areas considered better habitat in Nepal indicating a potentially dense population compared to other sites. We provide the first density estimates for leopards in the Bhabhar and a baseline for long term population monitoring of leopards in Parsa Wildlife Reserve and across the Terai Arc.