Tiger Habitat Research Articles

Assessment of livestock grazing pressure in key tiger habitat in a semi-arid landscape in Western India

Assessment of livestock grazing pressure in key tiger habitat in a semi-arid landscape in Western India

Conservation Prioritization in a Tiger Landscape: Is Umbrella Species Enough?

Conservation approaches in tiger landscapes have focused on single species and their habitat. Further, the limited extent of the existing protected area network in India lacks representativeness, habitat connectivity, and integration in the larger landscape. Our objective was to identify sites important for connected tiger habitat and biodiversity potential in the Greater Panna Landscape, central India. Further, we aimed to set targets at the landscape level for conservation and prioritize these sites within each district in the landscape as specific management/conservation zones. We used earth observation data to derive an index of biodiversity potential. Marxan was used to identify sites that met tiger and biodiversity conservation targets with minimum costs. We found that to protect 50% of the tiger habitat with connectivity, 20% of the landscape area must be conserved. To conserve 100% of high biodiversity potential, 50% moderate biodiversity potential, and 25% low biodiversity potential, 55% of the landscape area must be conserved. To represent both tiger habitat and biodiversity, 62% of the total landscape area requires conservation or restoration intervention. The prioritized zones can prove significant for hierarchical decision making, involving multiple stakeholders in the landscape, including other tiger range areas.

Inbreeding status and implications for Amur tigers

AbstractInbreeding more likely occurs in small, isolated and endangered populations, and may influence the sustainable survival of a population. As the Amur tiger Panthera tigris altaica population in China experienced a severe decline in the 1990s, the recovering population may be prone to inbreeding and its potential impacts on population health. However, the inbreeding status has not been evaluated and relationships with health remain poorly understood in wild animals. Based on the genetic samples collected from the main Amur tiger habitats in China, this study analyzed the population inbreeding level, major histocompatibility complex polymorphism, parasitic infections and gut microbial structures and functions, and then explored the influence of inbreeding on these traits. Our results indicated that more than 50% of individual relationships were in cousin or half sibs, and 22.73% of individuals had moderate or high inbreeding coefficients. There was a significant positive correlation between the inbreeding level of an individual and the Toxocara cati parasitic load. Gut microbiota community structure and function were also impacted by inbreeding intensity. In conclusion, results indicate that the Amur tiger population in China has reached a moderate level of inbreeding and that there are direct interactions between inbreeding intensity and parasitic load and gut microbiota. This study thus provides an early warning on the Amur tiger population health and should prompt the construction of national and international ecological corridors and/or the re‐introduction of new individuals to relieve the evident inbreeding pressure.

Role of anthropogenic drivers in altering the forest community structure in a prime tiger habitat in central India

Tropical forests are complex systems with heterogeneous community assemblages often threatened under anthropogenic disturbances and grazing. We studied the change in plant community composition and structure under a disturbance gradient in the tropical dry deciduous forest of the corridor area between Nagzira Wildlife Sanctuary and Navegaon National Park of central India. We tested the hypothesis that the plant community will change along the gradient of proximity to human settlements depending on the anthropogenic stress. We sampled 183 nested quadrat plots to collect data on species abundance and various disturbance parameters. Density, diversity, and importance value index were calculated, and multivariate analysis was performed to assess the changes in species assemblage along the disturbance gradients. We found 76% overall dissimilarity between the plant communities in the three distance classes perpetrated by the difference in mean abundance of species like Tectona grandis, Terminalia sp., and Largerstroemia parviflora. The anthropogenic factors influence the density and diversity of tree species and regeneration classes. We found the abundance of regeneration class increased along the distance from the villages. The study intensifies the need for proper management and conservative approach to preserve the diversity of the forest patches for their structural and functional contiguity as a corridor in central India’s highly susceptible and intricate corridor framework.

Spatial conservation prioritization for the Amur tiger in Northeast China

AbstractThe Amur tiger (Panthera tigris altaica) is critically endangered and also the subspecies of the tiger with the most restoration potential in China. It is challenging to protect large‐ranging carnivores like tigers under increasing pressure of human development. To provide a more technically robust foundation for tiger habitat conservation prioritization, we conducted a comprehensively empirical analysis based on a broadly collected occurrence dataset of tigers and their prey. We modeled tiger distribution by running an ensemble model integrating nine different algorithms. We found that the ensemble model performed well and outperformed any individual model regarding the discrimination ability. We used cumulative resistant kernel analysis to identify core habitats as with high predicted movement density and used factorial least‐cost paths to model corridors among tiger occurrence locations. We found that core habitats for Amur tigers are distributed in three mountain areas, namely, eastern Wanda Mountain, southern Zhangguangcailing, and Laoyeling‐Dalongling. We found significant protection gaps as existing protected areas only cover less than one‐fourth of predicted core habitats, but this proportion will rise significantly with the establishment of the Northeast China Tiger and Leopard National Park. Furthermore, we ranked spatial priorities for the expansion of the protected area network, simultaneously considering biological and socioeconomic dimensions under the Zonation framework. Our study presented the most up‐to‐date and detailed maps of the predicted potential distribution and area of the most important habitats for the Amur tigers in China, which can provide quantitative guidance in the effort to maximize the efficiency of conservation initiatives at a regional scale.

Photographic evidence of Red Panda Ailurus fulgens Cuvier, 1825 from West Kameng and Shi-Yomi districts of Arunachal Pradesh, India

Camera-trap photos of Red Panda Ailurus fulgens were obtained from three locations in the state of Arunachal Pradesh in northeastern India during a survey conducted from March to July 2019. Two of the locations are in West Kameng district and one location is in Shi-Yomi district (formerly West Siang). These records are important additions to the currently limited information available for species distribution in the state, and was gathered as part of a tri-country study on the status of tiger habitats in high altitude ecosystems of Bhutan, India, and Nepal.

The Patterns of Law Enforcement on Eradicating Illegal Activities to Protect Sumatran Tiger Habitat in Tambling Wildlife Nature Conservation, Bukit Barisan National Park

Law enforcement plays a vital role to prevent the extinction of endangered species, including the Sumatran tiger. We investigated the roles of private sector involvement in Tambling Wildlife Nature Conservation (TWNC) for supporting law enforcement by Bukit Barisan Selatan National Park (BBSNP) agencies. We explored the relationship between law enforcement in the environment and forestry on illegal activities within the habitat of the Sumatran tiger in the TWNC area. We collected data on law enforcement and illegal activities during the period of 2000-2018 from BBSNP and TWNC management through secondary data and conducted semi-structured interviews with selected persons, including managers and staff. Additional data on illegal activities data was also obtained through the SMART programme. Our study showed that law and non-law enforcement approaches on environment and forestry during 2001-2018 reduced illegal activities within the TWNC area. However, the approach was not effective to reduce illegal activities if not implemented synergistically. This was evidenced by the guard posts burning case in the TNWC area. We highlighted that the law and non-law enforcement approach on environment and forestry must be implemented involving more synergy ways to reduce illegal activities in the habitat of Sumatran tiger in TWNC.

A Review of Two Decades of Conservation Efforts on Tigers, Co-Predators and Prey at the Junction of Three Global Biodiversity Hotspots in the Transboundary Far-Eastern Himalayan Landscape.

Simple SummaryThe Far-Eastern Himalayan Landscape, a global biodiversity hotspot spread across parts of India, Myanmar, and China, holds great potential for the long-term conservation of tiger populations. National-level efforts aimed at tiger conservation, such as the creation of protected areas, have been critical for the survival of key tiger populations. However, for tigers to continue to survive into the future, it is important that these key populations remain connected with each other, particularly in this transboundary landscape. This requires greater regional and cross-border co-operation in conservation research, monitoring, and planning to protect habitats and corridors. Here, we review and synthesize the available literature on two decades of conservation efforts aimed at the study and conservation of tigers, their co-predators, and prey in the landscape to understand research trends, identify knowledge gaps, and suggest priority areas for future research and conservation interventions. This review could be useful for formulating conservation plans and actions that could help in the recovery of tiger populations; for identifying, restoring, and securing connectivity between key tiger habitats; and for addressing other key threats, such as habitat loss, poaching, and trade in wildlife parts.Addressing the effects of human-caused habitat destruction on free-ranging threatened large carnivores requires actions that go ‘beyond borders’ in conserving and protecting their habitat and prey base. In this review, we compiled information from available literature on 20 years of conservation efforts aimed at tigers, co-predators, and their prey in the Far-Eastern Himalayan Landscape that is situated at the confluence of three global biodiversity hotspots covering parts of India, Myanmar, and China. The vast area of the proven biodiversity-rich forested landscape is highly suitable for long-term survival of carnivores, such as tigers. Habitat loss, ritual hunting, commercial exploitation, and poaching are the prevailing threats that have resulted in low tiger, co-predator, and prey population densities. Studies suggest that tiger presence is confined to a few areas, while other tiger populations have been extirpated across most parts of the landscape. Past research also suggests that the landscape holds low abundance of diverse prey species richness (n = 22), and urgent conservation measures are required to improve their habitat and numbers. This calls for greater regional and transboundary co-operation on research and knowledge sharing, conservation awareness programs for locals, and cross-border co-operation on wildlife monitoring. Strict policies are also required to enable PA managers to develop strategic plans to conserve large predators and protect their habitats and corridors.

Geo spatial approach for tiger habitat suitability mapping: A case study of Bandhavgarh national park, Madhya Pradesh, India

In the present study, evaluation of Tiger (Panthera tigris tigris) and their prey species (Chital & Sambar) habitat was carried out in Bandhavgarh National park by using remote sensing, ground and other ancillary data and these data sources were integrated with GIS using multi-criteria analysis (MCA) model. For the modeling, several variables in the dataset viz., forest cover density, slope, altitude, road, water body, settlement and drainage were used as independent variables in the analysis. All these data sets were considered as input data for developing the model. Expert views and field experience were considered while allotting values to variables for MCA analysis to generate final weight. The result indicated that Sal, mixed Sal, miscellaneous forest, plantation, grassland, agriculture and scrub land are the major land use/land cover types and majority of the study area is covered under forest. The habitat parameters have tremendous impact over the habitat utilization and suitability pattern of Tiger, Chital & Sambar in Bandhavgarh National Park. From this study most suitable habitat for Tiger in BNP is 1264.01 km² which is 56.48% of the total geographical area of the national park while 531.22 km² area comes under moderately suitable for tiger which is 23.74% of the total geographical area of the national park. The results pointed out that 80% of national park has been found to be high to moderately suitable for Tiger habitat. The result have been found to be an important input as baseline information for population modeling and natural resource management in the national park.

Mitigation strategy of human tiger conflict in Leuser Ecosystem using SWOT matrix

Human and tiger conflict (HTC) has become one of the main drivers’ factor of the decline population of the Sumatran tiger (Panthera tigris sumatrae). The Leuser Ecosystem is an important landscape for tiger habitat covering13 districts in Aceh Province and 4 districts in North Sumatra. The purpose of this study was to analyse the HTC mitigation strategy based on internal and external factors at Leuser. The location was chosen by purposive sampling in two potential areas of conflict, namely Timbang Lawan (TL) Village, in Langkat Regency and Panton Luas (PL) Village in South Aceh Regency. These two villages are directly adjacent to the tiger habitat. Data collection was carried out through field observations, interviews and focus group discussions. Respondents are experts and people living in conflict areas. The analysis was carried out using SWOT to measure IFAS (strengths and weaknesses) and EFAS (opportunities and threats). The results of the SWOT analysis show the differences in the mitigation strategies of each location. The comparison of IFAS and EFAS values places Timbang Lawan in quadrant III (WO strategy) while Panton Luas in quadrant I (SO strategy).

Multi-Scale Spatial Prediction of Wild Boar Damage Risk in Hunchun: A Key Tiger Range in China.

Simple SummarySpatial distribution of wild boar damage risk is important and can be informative to wildlife habitat management. Hunchun is an important active area of Siberian tiger in China. The wild boar damage has brought barriers to the conservation and management of the Siberian tiger in this region. We predicted the spatial distribution of wild boar damage risk in Hunchun in terms of home range and feeding sites scales, and explored the spatial interaction between tiger habitats and the damage risk of wild boar. The results show the distance to the forest edge is an important factor affecting the wild boar damage, and 38.68% of the high-risk areas are overlapped with tiger habitats in Hunchun. Therefore, precise and differentiated management strategies should be adopted in the management of wild boar population.Hunchun, a typical area suffering wild boar (Sus scrofa) damage, is an important region for the Siberian Tiger (Panthera tigris) in China. By incorporating the maximum entropy model with 22 variables in the home range scale (12 variables) and in the feeding site scale (10 variables), we predicted wild boar damage risks in this area of China and analyzed how spatial factors influence damage risk. Damage risk was found to be high in areas close to the forest edge, areas with a higher forest cover and lower to medium deciduous forest proportion, low road density, and a medium river density and farmland proportion. The proportion of farmland which was identified as being in the high damage risk zone was 23.55%, of which 38.68% was within the habitat area of the Siberian Tiger. Finally, we propose wild boar damage prevention based on different management goals.

Application of Geographic Information System (GIS) for mapping of spatial distribution characteristics of the Sumatran Tigers (Panthera tigris sumatrae) prey in Besitang

This research is an example of GIS applications used in the field of conservation and landscape ecology. Sumatran tiger habitat management begins with knowing Sumatran tiger prey distribution. Information on Sumatran tiger prey distribution will be very useful in identifying the suitability of habitat for Sumatran tiger. This study objective to determine the spatial distribution of Sumatran tiger prey in Besitang forest. The method used is to overlay the coordinates of the tiger prey findings with the trigger factors that influence the distribution of Sumatran tiger prey using GIS. The results showed animals prey of Sumatran tiger in the Besitang area occurs mostly in sloping areas with low topography and regions that are relatively far to the road and near to the river

Recovery of tigers in India: Critical introspection and potential lessons

Abstract In a world where biodiversity is on the decline, examples of conservation success especially of large carnivores are of interest to policy makers and conservation practitioners. Herein, we elucidate the conservation actions that have been responsible for the recovery of tigers and their ecosystems in India; a feat many range countries are struggling to achieve. Demand‐driven poaching resulted in extinctions at two prestigious Tiger Reserves. India's Prime Minister constituted a Tiger Task Force that led to the formation of the National Tiger Conservation Authority, the Wildlife Crime Control Bureau, scientific monitoring of tiger populations and incentivized voluntary relocation of human settlements from tiger reserves. Tiger Conservation Plans, cognizant of constraints imposed by small reserves embedded in human land uses, aimed to create source populations within tiger reserves with corridor links between sources and to sink habitats. Metapopulation management enhanced occupancy and long‐term viability of tiger populations. Tiger Protection Force and technology like MSTrIPES, E‐eye and drones effectively reduced poaching. Community support was attempted through profit sharing, mitigating human–tiger conflict with a fast, fair and transparent compensation process and removal of problem tigers. Reintroduction and reinforcement of tigers and prey assisted natural recovery. Political will ensured resources. Tigers were monitored using Spatially Explicit Capture–Recapture with camera traps and ecological covariates. In 2018–2019 from 381,000 km2 of tiger habitat, 89,000 km2 was occupied. Currently, 50 tiger reserves cover 72,750 km2 and harbour 65% of India's ~3,000 tigers. Tiger reserves are managed with an annual investment of ~1,000 USD/km2 with one staff per 6.5 km2. Tiger reserves were regularly evaluated for Management Effectiveness. Tiger reserves were valued to have benefit flows between 76,900 and 292,300 US$ km−2year−1. In the Anthropocene it is unlikely that tigers will survive without targeted conservation investments. Political commitment and resources can become available for conservation when people and tigers benefit simultaneously. Conscious balance by governments between development for rapid economic prosperity and long‐term ecological security will ensure that wild tigers and their intact ecosystems will survive for future generations. A free Plain Language Summary can be found within the Supporting Information of this article.

Optimization of spatial scale, but not functional shape, affects the performance of habitat suitability models: a case study of tigers (Panthera tigris) in Thailand

Abstract Context Species habitat suitability models rarely incorporate multiple spatial scales or functional shapes of a species’ response to covariates. Optimizing models for these factors may produce more robust, reliable, and informative habitat suitability models, which can be beneficial for the conservation of rare and endangered species, such as tigers (Panthera tigris). Objectives We provide the first formal assessment of the relative impacts of scale-optimization and shape-optimization on model performance and habitat suitability predictions. We explored how optimization influences conclusions regarding habitat selection and mapped probability of occurrence. Methods We collated environmental variables expected to affect tiger occurrence, calculating focal statistics and landscape metrics at spatial scales ranging from 250 m to 16 km. We then constructed a set of presence–absence generalized linear models including: (1) single-scale optimized models (SSO); (2) a multi-scale optimized model (MSO); (3) single-scale shape-optimized models (SSSO) and (4) a multi-scale- and shape-optimized model (MSSO). We compared performance and resulting prediction maps for top performing models. Results The SSO (16 km), SSSO (16 km), MSO, and MSSO models performed equally well (AUC > 0.9). However, these differed substantially in prediction and mapped habitat suitability, leading to different ecological understanding and potentially divergent conservation recommendations. Habitat selection was highly scale-dependent and the strongest relationships with environmental variables were at the broadest scales analysed. Modelling approach had a substantial influence in variable importance among top models. Conclusions Our results suggest that optimization of the scale of resource selection is crucial in modelling tiger habitat selection. However, in this analysis, shape-optimization did not improve model performance.

Factors influencing survival of tiger and leopard in the high-altitude ecosystem of the Nilgiris, India

Tiger conservation is a global initiative, and data on distribution, prey dynamics, competition, and range extension are critical factors in sustaining its fragile populations. We concentrated on evaluating the data pertaining to these variables in order to designate the high-altitude Nilgiri forest division as a tiger conservation unit. We gathered secondary data on animal density, mortality, and conflicts. We also conducted a people perception survey, a systematic grid-based prey species survey, and a tiger and leopard scat survey to assess the prey-predator relationship and understand human attitudes toward carnivore conservation. According to the findings, the Nilgiri forest division has a healthy prey base with positive or random prey-predator associations and a significant correlation between mammalian assemblages. Because the niche overlap between the tiger and the leopard is high, the latter broadens its niche and relies on wild prey in the shola fringes and tea estates. The tiger avoids human-dominated areas and prefers to stay in the shola, rarely venturing into tea estates. In contrast to previous considerations, we believe the Nilgiri forest division is an ideal tiger habitat. We specify that instead of being considered a connective corridor, the Nilgiri forest division may be merged with Mukkurthi National Park to form a high-altitude tiger reserve.

The Structure of Potential Amur Tiger (Panthera tigris altaica) Habitats and Evaluation of Its Prey in Taipingou National Reserve (China) Based on Remote Sensing Data

The population of the Amur tiger (Panthera tigris altaica) in the Russian Far East is currently being restored; young individuals are being spread within the historical range, including territory in China. Here, the assessment of the suitability for the territories that exist in Northeastern China as the Amur tiger habitat and its food supply-prey base (three species of ungulates, namely wild boar, red deer and roe deer) are shown. A specially protected area—the Taipingou Natural Reserve, located on the border of the People’s Republic of China and Russia—was examined. The modelling of habitat suitability for ungulates was performed on the basis of Earth remote sensing data by using two different approaches: expert geo-information assessment of the territory and discriminant analysis modelling. Based on discriminant analysis, the modelling of the suitability of ungulate habitats (without the variability of plant communities) showed a small difference between the model results for wild boar and roe deer. Nevertheless, the connection with the morphometric characteristics of the relief was more important for the wild boar than the roe deer. Furthermore, the variability of vegetation types was more important for the roe deer. The analysis of the biotopes showed that wild boars prefer the central and northern parts of Taipingou National Reserve, while the main roe deer distribution is in the western part of the Reserve; red deer are more common in the southern part of the Reserve.

Assessing the adequacy of a protected area network in conserving a wide‐ranging apex predator: The case for tiger (Panthera tigris) conservation in Bhutan

AbstractProtected area networks (PAN) are essential for conserving wide‐ranging apex predators but their adequacy in species protection has rarely been assessed. Here, we assess the adequacy of Bhutan's PAN in conserving and providing connectivity to the endangered tiger (Panthera tigris). We determine the current extent of tiger habitat, predict new suitable habitat, identify potential corridors, and empirically estimate the range of tiger numbers that Bhutan can spatially support. We use two spatial models with different approaches to ascertain current tiger distribution and predict new suitable tiger areas: (a) an expert model based on tiger ecology and (b) an observation model from observed tiger distribution. The expert model identified more suitable tiger areas (32,887 km2) over the observation model (29,962 km2), with the PAN encompassing 46% and 45% of predicted suitable areas, respectively. Vast suitable tiger habitat remains unprotected. Based on our estimates of total suitable habitats, Bhutan can spatially support 138–151 tigers compared to the current estimate of 103, thereby precluding a doubling in tiger numbers. To ensure adequate protection of tigers in Bhutan, we recommend readjusting and/or expanding existing PAN boundaries, including the designation of new corridors, protecting habitats, and conserving prey populations.

Tigers against the odds: Applying macro-ecology to species recovery in India

Tigers are in serious decline from anthropogenic pressures: prey depletion by human hunting, killing of tigers for conflict mitigation or trade in their body parts, and habitat loss or degradation. In spite of conservation efforts over 50 years, wild tigers now occupy <7% of their historic range. Reproducing tiger populations survive in <1% of the ~1.6 million km2 potential habitat. Evaluating both successful and failed conservation efforts is critical to reversing tiger declines. Wild tiger populations are managed by governments under constraints imposed by other stake-holders. We review recoveries of tigers across a ~38,000 km2 area landscape matrix in Malenad region in southwestern India, during the past five decades. We examine data and empirical observations on tiger ecology, human impacts, emergent conflicts, as well as conservation interventions made at macro-ecological scales by the non-governmental project titled Malenad Tiger Program. We estimate that between 1970 and 2015, tiger habitat occupancy remained unchanged at 14,000 km2, out of ~21,000 km2 of potential habitat in Malenad. However, tiger numbers rose from ~70 to ~391, only because of sporadic recoveries in a few wildlife reserves. We conclude that if tiger recovery efforts can be optimized in future, the Malenad landscape can potentially support ~1300 wild tigers. We propose pragmatic strategies that may improve success rates and cost-effectiveness of future recovery efforts directed at tigers, and, generally at other threatened large carnivores. We evaluate both challenges and opportunities that non-governmental conservation programs must address to be effective in assisting tiger recoveries in the future.

Multi-scale habitat modelling and predicting change in the distribution of tiger and leopard using random forest algorithm

Tigers and leopards have experienced considerable declines in their population due to habitat loss and fragmentation across their historical ranges. Multi-scale habitat suitability models (HSM) can inform forest managers to aim their conservation efforts at increasing the suitable habitat for tigers by providing information regarding the scale-dependent habitat-species relationships. However the current gap of knowledge about ecological relationships driving species distribution reduces the applicability of traditional and classical statistical approaches such as generalized linear models (GLMs), or occupancy surveys to produce accurate predictive maps. This study investigates the multi-scale habitat relationships of tigers and leopards and the impacts of future climate change on their distribution using a machine-learning algorithm random forest (RF). The recent advancements in the machine-learning algorithms provide a powerful tool for building accurate predictive models of species distribution and their habitat relationships even when little ecological knowledge is available about the species. We collected species occurrence data using camera traps and indirect evidence of animal presences (scats) in the field over 2 years of rigorous sampling and used a machine-learning algorithm random forest (RF) to predict the habitat suitability maps of tiger and leopard under current and future climatic scenarios. We developed niche overlap models based on the recently developed statistical approaches to assess the patterns of niche similarity between tigers and leopards. Tiger and leopard utilized habitat resources at the broadest spatial scales (28,000 m). Our model predicted a 23% loss in the suitable habitat of tigers under the RCP 8.5 Scenario (2050). Our study of multi-scale habitat suitability modeling provides valuable information on the species habitat relationships in disturbed and human-dominated landscapes concerning two large felid species of conservation importance. These areas may act as refugee habitats for large carnivores in the future and thus should be the focus of conservation importance. This study may also provide a methodological framework for similar multi-scale and multi-species monitoring programs using robust and more accurate machine learning algorithms such as random forest.

Effects of livestock loss and emerging livestock types on livelihood decisions around protected areas: Case studies from China and India

Increasing livestock grazing in forests has intensified human-wildlife conflicts and caused habitat degradation for threatened species. To balance conservation and local community development, it is crucial to understand if livestock loss in natural habitats plays a role in household livelihood decisions. We used the giant panda habitat in China and the tiger habitat in India as case studies to investigate if livestock loss impacts livestock holding size and if higher loss rate shifts households away from livestock grazing in the future. We applied negative binomial regression and cost-benefit analysis to household level data from 281 Chinese households and 369 Indian households. We found that the livestock loss rate did not impact the number of livestock in China, but it did negatively impact the number of livestock in India. Chinese households were more constrained by labor availability for livestock expansion, while Indian households were limited by financial capacity. However, households tended to ignore the potential livestock loss in future livelihood decisions for both landscapes. Emerging livestock types could change the dynamic and the Indian case indicates a possible win-win solution. New hybrid cattle produced more than seven times the net benefit, but with only 46% potential cost of livestock loss compared to traditional cattle. Therefore, households can simultaneously produce more profits and reduce livestock loss by shifting to hybrid cattle. As higher profit is more important than perceived livestock loss risk in deciding the livelihood practices, better market instruments and assistance should be provided to promote the change.