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Established in 1982, Wildlife Institute of India (WII) is an internationally acclaimed Institution, which offers training program, academic courses and advisory in wildlife research and management. The Institute is actively engaged in research across the breadth of the country on biodiversity related issues.
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Can tigers (Panthera tigris) survive in human-dominated landscape of India : a case study of human-tiger interaction around bhopal city, M.P.
(Wildlife Institute of India, Dehradun, 2026) Shrivastava, D.P.; Adhikari, B.S.
In India, wild tiger numbers have gone from 1411 (SE range 1,165 to 1,675) in 2006 to 3682 (SE 243) in 2022 (Status of Tigers in India, 2023). Tigers are known for their large home ranges and great dispersal distances, and the National Tiger Conservation Authority estimated that approximately 40% of all tigers in India live outside the reserves in unprotected lands. These unprotected lands are mosaics of multiple-use forests and agricultural fields surrounding villages, towns, and cities. With a growing human population and its need for expanding urbanization, agriculture and other land uses have implication on forest. The land-use change presents enormous problems to animal conservation, particularly for wide-ranging species like tigers (Panthera tigris), whose migration and habitat usage are being disturbed by developing urban infrastructure. One of the most significant difficulties is the fragmentation of ecosystems created by linear infrastructure such as roads, trains, and highways, which limit communication between important green spaces.
The study is focused on urban landscapes of Bhopal city, a city with 2.6 million people, placed at Vindhyan Hills and surrounded by the dry deciduous forest of Bhopal Forest Circle. The study area focuses on the urban-rural gradient, including the built-up area of Bhopal, peri-urban and rural/wilderness area of the territorial forest of Bhopal, Sehore, Obedullahganj, and Raisen. The study uses a bio-social approach to understand the tigers and prey surviving in these dynamic areas on one end and people’s attitudes and perceptions to understand social factors shaping coexistence in these landscapes. The basic questions of the study are what is the extend of green spaces available for tigers in this landscape? What is the available prey-base and how tigers are utilizing available prey base, how animals and people share spaces, and how people’s attitude and perception shape coexistence in these dynamic areas.
As the first part of the study, this study aims to evaluate habitat suitability and identify potential tiger habitats across five districts of central India (Sehore, Raisen, Bhopal, Rajgrah and Vidisha). We generated land use and forest density maps using LANDSAT 8 satellite imagery for 2022 by adopting the Maximum Likelihood Classification (MLC) method. Subsequently, we developed a Habitat Suitability Model (HSM) for tigers using Analytical Hierarchy Process (AHP) within a Multicriteria Decision Analysis (MCDA) framework. The model Integrated land use and forest density map, anthropogenic variables (proximity to water, roads, railways, and human settlements and three topographic variables: slope, Digital Elevation Model (DEM), and aspects. Each thematic layer was weighted based on ground data and secondary ecological reference data. The results of land use and forest density maps showed that the agriculture class dominates by covering (67.32 %; 21,097 km sq), high, moderate, and open dense forest covers (20.04 %; 6093.44 km sq), and settlement (5%;1614.66 km sq). The results of the accuracy evaluation showed a high-quality classification with an overall accuracy of 93.3% and a kappa coefficient (k) of 0.93, indicating strong agreement between the classified and reference data set. Habitat suitability analysis showed highly suitable class encompasses approximately 2,609.27 km sq, moderately suitable areas covered around 2909.09 km sq, and low suitability areas cover 4547.34 km sq. The overall result indicates that areas with high-density forest cover in Raisen and Sehore exhibited the highest habitat suitability across the study region.
For developing an understanding of city green spaces and tiger movement, we assessed land-use/land-cover (LULC) patterns and their implications for tiger space-use near city fringes adjacent to the Ratapani Tiger Reserve. Using Landsat-8 imagery (30m resolution, 2022), supervised maximum likelihood classification in ArcGIS 10.8 (Kappa=0.88) identified settlements (37%), agriculture (30%), urban green spaces (25%), and waterbodies (8%) across 414 km². Of 535 digitized green patches (65 cm Google Earth Pro), 248 exceeded 1 ha, forming connected networks via riparian and institutional areas. Tiger presence was evaluated via systematic sign surveys (Nov 2021–Jul 2022) across standardized trails (45.6 km total) in urban green spaces of Kaliasot-kerwa, supplemented by All India Tiger Estimation 2022 camera traps. Tigers occupied 19 grids in southern Bhopal (Kaliasot-Kerwa belt), with encounter rates of 0.88–1.82 signs/km (winter mean: 1.45 ±0.33; summer: 0.93 ±0.06), indicating territorial use influenced by prey, water, and human factors. Four individuals were photo-captured in sites like MANIT and WALMI.
As part of a broader effort to understand tiger survival in an urban landscape, we conducted extensive field surveys across Bhopal and a 30 km buffer zone to assess tiger presence, prey abundance, and human-wildlife interactions. Here, we present findings on the relationship between prey distribution, composition, and abundance and tiger diet across urban and peri-urban mosaics. Prey abundance was estimated using 40 and 12 line transects in the forest of Bhopal Forest Circle and Urban green spaces (2019- 2022), respectively. In the forest, 14 prey species were recorded, with wild pig (Sus scrofa, 83.33%) and peafowl (Pavo cristatus, 66.66%) being the most frequently encountered, whereas cattle (Bos taurus, 37.5%) and nilgai (Boselaphus tragocamelus, 30%) dominated urban areas. Mean prey abundance was highest for goats (Capra aegagrus hircus, 32 individuals per transect) and wild boar (Sus scrofa, 24.3) in the forest circle, whereas cattle, goats (14), and blackbuck (Antilope cervicapra, 10) were most prevalent in urban green spaces. Tiger diet analysis, based on morphological identification of prey hair in 227 scat samples collected from Bhopal City, the Bhopal-Ratapani connecting forest, and Ratapani Tiger Reserve, revealed 19 prey species, with nilgai (17.62%), cattle (15.41%), and Chowsingha (Tetracerus quadricornis, 14.09%) being the most frequently consumed. While prey species were relatively evenly distributed, significant variation in dietary composition across landscapes underscores the adaptability of tigers to urban environments. Bhopal exemplifies how heterogeneous urban matrices sustain biodiversity connectivity. Protecting these corridors via integrated planning ensures human-wildlife harmony, ecosystem services, and Central India’s tiger landscape resilience. To understand the human dimensions the study examines how people and tigers are sharing spaces. We investigated the spatial-temporal dynamics of tiger (Panthera tigris) coexistence within the human-modified landscape of the Bhopal-Ratapani Connecting Forest in Madhya Pradesh, India. Utilizing camera trap data collected in 2020, we examined the activity patterns of tigers, co-predators, prey species (wild and domestic), and humans to assess spatial-temporal overlap and segregation. Our results reveal significant temporal partitioning among these groups, with tigers exhibiting primarily nocturnal behaviour to minimize overlap with human activity. Prey species display diverse strategies, including diurnal, nocturnal, and crepuscular patterns. The same has also been depicted in the Non-metric Multidimensional Scaling plot. ANOVA analysis confirms significant Spatial variation (F=4.2, p<0.003) and temporal variation (F = 4.22, p<0.01) among the focal groups. Even the study at Bhopal-Ratapani Landscape level states similar temporal adaptation of tigers and co-predators. However, the ANOVA results state clear temporal variation among Tigers and co-predators in space use but no significant difference in spatial context such as Bhopal-Sehore, Ratapani core and Obedullahganj territorial stating the homogenous landscape availability. These findings underscore the importance of temporal niche partitioning in facilitating tiger persistence in urban-influenced environments and inform targeted conservation strategies aimed at mitigating human- wildlife conflict and promoting coexistence.The low conflict levels, timely compensatory practices, and non-retaliatory attitude of the local community are playing an important role in sharing space with tigers without any conflict. The absence of Human-tiger conflict is one of the important factors promoting acceptance within local communities. These findings highlight the role of human-modified landscapes in shaping space availability, prey availability & utilization by large carnivores, and acceptance by local communities to share space with tigers, emphasizing the urgent need to reconsider the role of urban green spaces and consider wildlife as part of urban planning to mitigate human-wildlife conflicts and ensure long-term conservation.
Study of Ecosystem Services Provided by Mountain Watersheds
(Wildlife Institute of India, Dehradun, 2026) Debnath, Anindita; Talukdar, Gautam
Ecosystem service (ES) mapping has emerged as a robust scientific approach to understanding landscape dynamics, conserving biodiversity, and sustaining nature’s contributions to people amid land-use/land-cover change and accelerating climate change. In ecologically fragile mountain systems such as the Himalaya, ecosystem services are highly sensitive yet rarely quantified for decision making. The Askot landscape, situated in the western Himalayan landscape in Pithoragarh district of Uttarakhand, covers approx. 4496.49 sq.km. Despite providing vital regulating, provisioning, and supporting services, this region has received limited integrated assessment. Addressing this gap, the present study examined long-term land-use–land-cover (LULC) dynamics, associated carbon sequestration trends, and future climate vulnerability to support evidence-based decision making.
To achieve this, this study pursued three objectives: (i) to analyse spatial and temporal LULC changes, (ii) to quantify trends in above-ground carbon storage across forest and vegetation types, and (iii) to identify climatically vulnerable areas under future climate scenarios.The results reveal that nearly 10% of the Askot landscape experienced LULC change over the study period, with the most pronounced transformations occurring between 2011 and 2020, indicating an acceleration of recent landscape dynamics. Forests occupy only ~18% of the total landscape, yet they underpin a substantial share of ecosystem services. Dense forest area declined from 391.7 sq.km (1990) to 369.4 sq.km (2020), while moderate dense forest showed a sharper reduction (259.3 to 227.9 sq.km), accompanied by a marked increase in open forest (155.9 to 206.9 sq.km). This pattern reflects widespread forest degradation rather than abrupt deforestation. Scrub ecosystems also declined, while landslides more than doubled (7.45 to 15.8 sq.km), signalling growing geomorphic instability. High-elevation systems exhibited strong climate sensitivity, with alpine meadows shrinking (842.2 to 790.4 sq.km) and snow cover declining by over 100 sq.km, alongside a substantial expansion of the Moraine class (473.3 to 714.5 sq.km), indicating snowline instability and water stress, affecting another vital ES.Vegetation-type analysis further confirms degradation across major forest types. Oak-dominated systems (Quercus leucotrichophora (Banj Oak), Quercus semecarpifolia (Kharsu Oak), Quercus floribunda (Moru Oak), Betula-Abies (Birch–Fir), Deodar, Pine, and Mixed broadleaf forests all showed declines in dense and moderate canopy classes with a concurrent rise in open forest cover. Above-carbon carbon storage and sequestration show consistent declines across oak-dominated forests (Banj, Kharsu, Moru), Birch–Fir, Deodar, Pine, and mixed broadleaf systems, primarily through transitions from dense and moderate canopy classes to open forest. These structural changes directly influenced carbon dynamics. In 1990, the total AGC was estimated at 67,529.41 MgC, which declined to 66,597.79 MgC by 2020. Projections for 2050 indicate a further reduction in AGC to 66,062.30 MgC, corresponding to an additional loss of 535.49 MgC between 2020 and 2050. Total above-ground carbon stock declined from 67,529.41 MgC in 1990 to 66,062.30 MgC by 2050, representing a cumulative loss of 1,467.11 MgC over six decades. Meadows and scrub ecosystems showed the steepest proportional carbon losses, while forest carbon decline was driven largely by canopy thinning rather than loss of forest area. The relatively lower projected future carbon loss reflects the slow-changing nature of forest types, even as degradation continues.Oak forests emerge as the primary climate mitigation asset in the Askot landscape, contributing ~61% of total above-ground carbon (AGC) by 2050 despite occupying less than 10% of the total area. When combined, all forest classes (oak, temperate, and mixed forests) account for 18% of total area and contributing to approximately 85% of total AGC, clearly establishing forests as the dominant carbon pool within the watershed.
This concentration of carbon within a limited forested area highlights the disproportionate importance of forests. Even marginal losses in forest cover translate into substantial carbon emissions; for instance, a 0.26% reduction in oak forest area corresponds to an estimated loss of ~105 MgC.The scope of present study was to identify climatically vulnerable ecosystems in the Askot landscape by integrating Climate-Ecological Niche Factor Analysis (CENFA). To perform this analysis, two Shared-Socioeconomic Pathways (SSP) were considered, SSP245 (Middle of the road) and SSP585 (Worst-case scenario) for mid-century (2041-2060) and end-of century (2081-2100). Climate vulnerability assessment using CENFA highlights extensive areas of medium to high vulnerability, particularly under SSP585. High-vulnerability zones increase from 1266.7 sq.km (SSP245) to 1535.2 sq.km (SSP585) in the near future, and further expand to 1762.6 sq.km by end-century, disproportionately affecting alpine, sub-alpine, and degraded forest regions. These areas spatially correlated with zones of observed LULC change and carbon decline, underscoring climate–LULC risks.
Askot landscape is undergoing progressive ecological degradation driven by forest structural decline, high-elevation climate stress, and increasing disturbance. Integrating LULC dynamics, carbon assessment, and CENFA this research can support ecosystem-based adaptation leading to climate-adaptive land-use planning.
WII e-Newletter (winter)
(Wildlife Institute of India, Dehradun, 2025) Kolipakam, Vishnupriya; Gautam, Ritesh Kumar; Kaur, Amarjeet
WII e-Newletter (Autumn)
(Wildlife Institute of India, Dehradun, 2025) Kolipakam, Vishnupriya; Gautam, Ritesh Kumar; Kaur, Amarjeet
WII e-Newletter (summer)
(Wildlife Institute of India, Dehradun, 2025) Kolipakam, Vishnupriya; Gautam, Ritesh Kumar; Kaur, Amarjeet