WII Technical Reports
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Item Long term conservation plan for hangul Part II Hangul movement pattern study using GPS satellite telemetry - final report(2016-20)(Wildlife Institute of India, Dehradun, 2021) Ahmad K.The globally viable single population of Kashmir Red Deer or Hangul (Cervus hanglu hanglu), one of the critically endangered subspecies of the Central Asian Deer is restricted to a confined area of 141 km2 Dachigam National Park (34°05ʹ to 34°32ʹN; 74°50ʹ to 75°16ʹE) in the Greater Himalayan mountain range of the Northwest Himalayan biogeographic region zone 2A, with some stray populations occurring in the adjoining relic range areas (Ahmad et al. 2009; Qureshi et al. 2009). Earlier, the species was widely distributed in the mountain of Kashmir Himalayas along the entire Greater Himalayan mountain range (Gee 1965; Schaller 1969; Prater, 1993; Nowak, 1999) declined drastically in the recent past from 5000 Individuals prior to 1947 to less than 200 Individuals at present. Current trends in the Hangul population indicate that the species could go extinct if necessary serious interventions are not made immediately and as such there was need to undertake urgent measures to hold the declining trends in the Hangul population (Ahmad et.al. 2009: Qureshi et.al. 2009; Ahmad et.al 2013). Therefore, understanding the ecology and biology particularly the movement ecology of this critically endangered deer species with small single population was fundamental to develop better strategies for conservation and management practices. The present study duly funded by the MOEF & CC, Government of India was as such initiated to understand the lesser known aspects of movement ecology and behaviour of this last viable population of the Hangul for its effective management, conservation planning and species population recovery under the following objectives: 1) Studying the seasonal Home range size and ranging and movement patterns of Hangul in and outside Dachigam National Park vis-à-vis Hangul migration route, important stop-over sites, and barriers and corridors to migration into the Hangul’s relic areas.2) Studying the lesser known aspects of Hangul ecology viz., habitat use, activity patterns, behaviour and predation prerequisite for effective long term management and conservation of Hangul and its habitats. 3) To identify the potential habitats used by Hangul outside Dachigam and assess and evaluate the extent and magnitude of habitat conditions and threats therein. 4) To identify threats, anthropogenic pressures and other factors particularly predation pressure by leopard and meso-carnivores that impact Hangul distribution and movement patterns. The capture and Satellite collaring of five Hangul (2 males, 3 female) successfully conducted for the first time under this project has been a milestone achievement in the field of satellite telemetry. The findings of this research study indicated that the Home range size varied from 4.98 Km2 in spring to 7.83 Km2 in summer. One of the female collared Hangul showed movement patterns outside Dachigam National Park towards Sindh forest division crossing the river Sindh and covering an area of 137.94 km, with area use of 10.86-12.26 Km2 in summer 2019 to 137.94 km in summer 2020 and a maximum home range of 124.4 km2 in Summer 2020 to colonize and establish its new summer habitat in the erstwhile range area of Wangath-Naranag Conservation Reserve (CR). The data and information generated has enabled us to identify the corridor areas of movement of the Hangul from Dachigam National Park and outside in the 3 Long Term Conservation Plan for Hangul Part II: Hangul Movement Pattern Study Using GPS-Satellite Telemetry adjoining erstwhile range areas in north and south and habitats assessment therein. The data generated also indicated that Hangul shows two activity peaks in morning and evening hours with significant seasonal variations. The findings of the study are of great ecological significance as the significant information generated through this research on the lesser known aspects of movement ecology including animal home ranges and habitat use, biology and behaviour of the Hangul deer would go long way in supporting the management interventions for population recovery and long term survival of this endemic deer of India in Dachigam National Park and its erstwhile range areas in Kashmir Himalayas. Major management and conservation Intervention recommendations 1. The study revealed that major and viable population of Hangul are confined to Dachigam National Park. Despite availability of ideal summer habitats for the Hangul in upper Dachigam, these alpine meadow habitats are not being explored or used by Hangul. The satellite collared Hangul movements indicated that the animals showed upward movements to Dagwan alpine meadows of upper Dachigam but restricted their movements further in to the alpine meadows, possibly due to heavy disturbances of excessive livestock grazing there. 2. Management interventions are as such required towards expansion of Range of Hangul to alpine meadows of Upper Dachigam and potential corridor areas outside Dachigam NP identified through this research, so that these ideal summer habitats are recuperated and used by Hangul in summer as it used to in the past and to ensure gene flow between the Dachigam and adjoining range populations. 3. Hangul conservation breeding-cum- reintroduction programme is imperative to expand the range of Hangul by restocking and augmenting the small isolated Hangul populations in its relic range areas outside Dachigam National Park starting with the Overa Wildlife Sanctuary which has ideal disturbance free habitats available. 4. The Hangul species recovery programme through a project mode by initiation of Project Hangul on the pattern of Project Tiger is crucial to ensure Hangul species recovery and long term survival of the species and its landscapes in the region. 5. This research study as indicated by earlier studies by the Investigator (s) has revealed that besides poaching and continued degradation of Hangul summer habitats in Upper Dachigam, along with biotic interference in winter habitats, low breeding, female biased sex ratio, the problem of survival of the young and inadequate recruitment of calf to adulthood due to factors such as considerable predation by common Leopard, Asiatic Black Bear, dogs and meso-carnivores (Fox and Jackal) are major challenges for the long term survival of the Hangul in the landscape. 6. The study revealed a significant contribution of Hangul in the diet of Golden jackal (9.09%) and Red fox (6.45%). These ecological issues threatening the long term survival of Hangul need to be investigated and addressed further on long term basis through initiating a breeding biology study to better understand the causes of low breeding and fawn/calf survival in the Hangul population in Dachigam National Park and the adjoining landscape. 7. This research study and the earlier studies by the Investigator (s) has indicated that species due to its small population size, restricted range distribution, critically endangered status, ecological threats long Term Conservation Plan for Hangul Part II: Hangul Movement Pattern Study Using GPS-Satellite Telemetry and potentially low genetic variation is at the brink of extinction and needs immediate management interventions to reverse the declining trend in the population. The regulated monitoring of the Hangul populations on a long-term scientific basis using latest techniques of satellite collaring, camera trapping and population genomics is imperative. 8. Strengthening Hangul genome sequencing to understand the DNA mitochondrial based phylogeography of the species and Skull based genetic investigations to link the mitochondrial DNA analysis findings with the nuclear genetic analysis to further establish the degree of closeness or divergence between Hangul and the Bactrian deer.Item Status of Ganges River Dolphins, threats and best practices for conservation(Wildlife Institute of India, Dehradun, 2021) Qureshi, Qamar and othersThe South Asian river dolphin is a widely distributed apex predator in Ganga and Brahmaputra river systems. The Gangetic Dolphin ranges into most of the large tributaries in the Ganga Basin: the Chambal, Ramganga, Yamuna, Gomti, Ghaghara, Rapti, Son, Gandak and Kosi, besides the main channel of the Ganga. In the Brahmaputra valley, it ranges into the major tributaries such as the Tista, Adadhar, Champamat, Manas, Bhareli, Subhansiri, Dihang, Dibang, Lohit, Disang, Dikho and Kulsi rivers. From status surveys, and mortality data, the most devastating threats is dolphin poaching for oil, used for bait fishing and traditional medicine and dolphin entanglement in gill nets, especially mono-filament gill netsItem Ecology of clouded leopard (Neofelis nebulosa) in an East Himalayan Biodiversity Hotspot - Carnivore Co-existence in Manas National Park, Assam, India(Wildlife Institute of India, Dehradun, 2021) Lyngdoh, Salvador; Habib, Bilal; Bhatt, UrjitSympatric species occupying similar niche can result in competitive exclusion of subordinate species. However, species are able to avoid interspecific competition through morphological, physiological, or behavioural trade-offs, which in turn leads to differences in resource use. A guild of wild species of Felidae comprising various combinations of up to eight species is distributed across South-east Asia, with species ranging in size from the tiger (Panthera tigris) to the flat-headed cat (Prionailurus planiceps). Little is known of the ecology of most of these species, and less of their guilds. Large felids such as tigers and leopards coexist in most of their ranges. The sympatric association of such large cats has been studied and debated in most tropical forests of India. The clouded leopard (Neofelis nebulosa), a potent ambassador species for conservation, is among the least known. The clouded leopard is the smallest of the large felids and is least studied due to its secretive nature and nocturnal behaviour. The species is an umbrella species for the Asian forest ecosystem and can be found along the foothills of the Himalayas through Nepal, Bhutan, and India to South China down to Peninsular Malaysia, and on the islands of Sumatra and Borneo. The clouded leopard is vulnerable on the IUCN Red List of Threatened Species and faces a global decline in population and contraction in its geographic range. The species occupies areas undergoing some of the most rapid deforestations and is threatened by poaching and wildlife trafficking. Clouded leopards are apex predators in many Southeast Asian rainforests, although they cooccur with larger predators such as tigers, leopards, dholes; their density, activity, and habitat use may vary. Although there have been discoveries regarding the felid guilds and habitat use of the Sunda clouded leopard, and the threat to the species from habitat loss, little is known for the mainland clouded leopard and the felids with which it is sympatric. Despite the fact that tropical rainforests are known for its high biodiversity and species richness, the scarcity and/or the cryptic behaviour of some of the species have resulted in the scarcity of information about these species. The tendency of many rainforest species to avoid humans on existing tracks (where most transect surveys are done) is well known. These conventional methods include surveys on the footprints, dung, calls, live-trapping, den counts and direct observation. All these surveys are usually performed along transects, and in the past, they were the preferred method in various countries. However, walking along transects to observe terrestrial mammals in tropical rainforests can be extremely challenging. The observers' different abilities to detect and recognize the species may lead to a bias during data collection, increasing the likelihood of animals fleeing unobserved. Presence-absence survey using transects lines or logging tracks may not yield substantial evidence of species diversity. Thus, if any survey were to be conducted without considering these factors, most wildlife surveys could expect a biased trend. In a dense tropical rainforest, camera-traps are useful to detect cryptic species, estimating species diversity, movement, interactions, habitat associations, abundances using individual recognition and, recently, without individual recognition in various countries. A good image from the camera trap is indisputable regarding a certain species' presence compared to an interview or conventional survey methods. The utilization of camera-traps has revealed the presence of secretive rainforest dwelling species, which have been overlooked by applying the traditional transect surveys. In India, this method has been used in estimating densities and abundances of various carnivore species in several protected areas, but few attempts have so far been made in the dense forests of tropical evergreen habitats of the north-eastern part. The use of camera trapping rate as an index of abundance is both promising and cost-effective for the rapid assessment of animal abundance in remote areas or where alternative methods are unfeasible.The study was conducted in tropical semi-evergreen forests of Manas National Park (MNP), Assam, India. The objectives of the study were to (1) estimate the status of clouded leopard and other carnivores, (2) assess prey status and feeding ecology of clouded leopard, and (3) determine the factors governing coexistence of carnivores.Item Assessment of mammalian diversity in Dhauladhar Wildlife Sanctuary, Himachal Pradesh(Wildlife Institute of India, Dehradun, 2022) Lyngdoh, Salvador; Parab, TusharMammalian fauna of Himachal Pradesh is an admixture of Palearctic and Oriental elements since the state encompasses two bio-geographic zones i.e. 1 and 2, which are further subdivided into A &B (Roberts 1977); and the mountainous regions form a remarkable habitat for many animals, herbivores, and carnivores alike. They constitute a significant proportion of vertebrate diversity (Chakraborty et al. 2005, Saikia et al. 2004), and the state harbours about 27 percent of total mammalian species in India (Sharma and Saikia 2009). However, the State has come under a strong threshold of development, thereby inviting over exploitation and rapid destruction on natural resources but also has been open to many innovative steps to combat loss of biodiversity. Dhauladhar Wildlife Sanctuary is of adequate ecological, faunal, floral, geomorphological, natural or zoological significance and has a wide variety of biodiversity. Due to the wide variation of altitudinal zoning, it hosts a wide range of wild animals viz. Common Leopard (Panthera pardus), Snow Leopard (Uncia uncia), Himalayan Black Bear (Ursus thibetanus), Himalayan Brown Bear (Ursus arctos isabellinus), Goral (Naemorhedus goral), Himalayan Tahr (Hemitragus jemlahicus), Himalayan Ibex (Capra ibex), Musk Deer (Moschus chrysogaster) along with Small carnivore species like Leopard Cat (Prionailurus bengalensis) and Red Fox (Vulpes vulpes). These mammals acted as an excellent model for determining the state of landscape biodiversity. The information reported here would help to identify and further prioritize biodiversity rich areas within the landscape. This Landscape was a pilot site with no established methodological framework. Hence, different sets of methodologies were adopted for sampling. Camera trapping was conducted to gather evidences of animal presence and further analyze the diversity, abundance, probability of occurrence of species and activity patterns. Presence points of 8 potential indicator species were analyzed for generating habitat suitability maps. Locations of direct sightings, indirect evidences (scats, pellet, pugmark, hoof mark), animal attack sites and indigenous knowledge were accounted for. The species are selected by their ecological trends viz population, distribution range, food habits and activity patterns which gave a brief idea about the surrounding habitats. Biologically significant areas were surveyed intensively with camera traps for the first time, which revealed the presence of rare species like Himalayan Musk Deer. The baseline inventory of 22 species of mammals found in the landscape has been generated with the help of direct observations and indirect evidences. Our findings highlights the potential of Dhauladhar Wildlife Sanctuary as a stronghold for conservation of several mammalian species.Item Current population status, distribution and threats to Indian Pangolin (Manis crissicaudata) in Terai Arc Landscape, Uttarakhand: a pilot study(Wildlife Institute of India, Dehradun, 2020) Lyngdoh, S.; Goyal, S.P.; Nigam, P.; Kumar, V.; Badola, S.; Rasailly, S.This pilot study to provide information on the current distribution of Indian pangolin and major poaching hotspots throughout its ranges to suggest appropriate conservation strategies and protection measures for the species. The proposed objectives for this pilot study are the following: a. To review the current status, distribution and threats to the Indian pangolin population in the study area. b. To prepare a standard protocol for the survey and population estimation of Indian pangolin. c. To formulate effective anti-poaching strategies and devise conservation measures for Indian pangolin to help Uttarakhand Forest Department.Item Status of tigers, copredator and prey in Bor Tiger Reserve, Maharashtra, India 2021(Wildlife Institute of India, Dehradun, 2022) Habib, Bilal Habib, B., Nigam, P., Govekar, R., Ramanujam, M. Gawai, R, Dabholkar, Y., Bhowmick, I.; Nigam, P.; Govekar, R.; Ramanujam, M.; Gawai, R.; Dabholkar, Y.; Bhowmick, I.SummaryThe Phase IV monitoring exercise as a part of the project “Long Term Monitoring of Tigers-predators and prey in tiger reserves and other bearing areas of Vidarbha, Maharashtra, for Bor Tiger Reserve was conducted from December 2020-May 2021. This exercise, having three main objectives, the status of prey, estimation of minimum tiger and leopard numbers, and capacity building among staff flagged off with a capacity-building workshop in December 2020. Line transects surveys aimed to estimate the density of prey species were carried out in two blocks with an effort of 7 days for each transect line. In the core area among all the prey species, the highest density was recorded for Chitals 7.14 (±4.44)/km2 followed by Sambar 6.45 (±2.26)/km. sq. and Nilgai 2.53(±0.67)/km2.In the buffer area, the highest density was recorded for wild pigs 5.75 (±1.26)/km2 among all the ungulate species. The density of other species includes Chital 0.81 (±0.22), Sambar 0.40 (±0.15), Nilgai 4.72 (±0.58), Peafowl 2.56 (±0.54), Langur 19.09 (±2.49).Camera trapping based on the spatial capture-recapture framework was conducted on the same locations of the same grids (2 km2) similar to the previous cycle (2020) which were selected based on a rigorous sign survey that provided sign encounters of tiger, leopard, and other co-predators. This year both core and buffer areas were covered in two blocks with 211 active camera trap stations during February 2021-May 2021. The effort resulted in 7572 trap nights. The number of individual tigers captured was 9 along with 46 leopards. Tiger density based on the Spatially Explicit Capture-Recapture framework was 1.10(±0.37)/100km2 and the density of leopard was 6.68 (±0.80)/100km2. To study space use and activity patterns we have used camera-trapping data from both core and buffer areas of Pench Tiger Reserve. Higher activity overlap was recorded between tigers and leopards (Dhat1=0.88) among predators. Camera trap locations with the number of captures of each species were modeled in a GIS domain using IDW (Inverse distance weighted) interpolation technique to generate spatially explicit capture surfaces. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled populationItem Status of tigers, co-predator and prey in Akola Wildlife Division, Maharasthra, India 2021(Wildlife Institute of India, Dehradun, 2022) Habib, Bilal Habib, B., Nigam, P., Banerjee, J., Reddy, M. S., Nimje, A., Khairnar, M. N., Patil, J. and Ray, S. (; Nigam, P.; Banerjee, J.; Reddy, M.S.; Nimje, A.; Khairnar, M.N.; Patil, J.; Ray, S.Phase IV monitoring for Akola Wildlife Division was conducted from February – May 2021 covering an area of 300 sq. km. as a part of the project “Long-term Monitoring of Tigers, Co-Predators and Prey in Tiger Reserves and other Tiger bearing areas of Vidarbha, Maharashtra”. The objective of the Phase IV Monitoring is to estimate the minimum number of tigers in the reserve using Capture-Recapture Sampling and density estimation of prey base using Distance Sampling. A total of 103 camera traps (pairs) were placed in the 4 wildlife sanctuaries (viz. Dnyanganga WLS, Katepurna WLS, Karanja-Sohol WLS and Lonar WLS) of Akola Wildlife Division following a sampling grid of 2 sq. km. In each wildlife sanctuary, camera traps were active for 25-30 days. During 90 days of camera trapping survey with a sampling effort of 3,090 trap nights, 42 adult individual leopards were photographed in Akola Wildlife Division. 28 adult individual leopards were photographed in Dnyanganga WLS and population size (N) based on the best fit (SECR Heterogeneity) model was 28 (SE ± 1.0). 9 adult individual leopards were photographed in Katepurna WLS and population size (N) based on the best fit (SECR Null) model was 10 (SE ± 1.27). 3 and 2 adult individual leopards were photographed in Karanja-Sohol WLS and Lonar WLS respectively. Leopard density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model was 13.42 (SE ± 2.56) and 25.61 (SE ± 8.85) for Dnyanganga WLS and Katepurna WLS respectively. To estimate prey density in Dnyanganga WLS, 42 line transects were sampled times 6-7 during the sampling period, with a total walking effort of 513 km. Overall during the sampling, 336 animal/bird observations were made. The overall density of major prey species (Wild Boar 14.90/sq. km., Nilgai 12.51/sq. km., Peafowl 2.79/sq. km., Chinkara 1.40/sq. km. and Four Horned Antelope 1.33/sq. km.) as estimated using distance sampling was 24.19 /sq. km. A basic understanding of sympatric carnivore ecology with asymmetric competition enables us to hypothesize that to coexist and not just co-occur there must be niche segregation on at least one of the three axes: space, time, and/or diet. To understand how large sympatric predators co-occur in space and in time, camera trapping was carried out. Temporal activity overlaps were derived by using kernel density. Leopards were found in all 4 wildlife sanctuaries. There was a distinct difference in the space-use pattern observed for all three carnivores and a strong spatial segregation pattern found between Leopards, Hyenas and Dholes. It showed significant segregation and avoidance of each other’s space. While leopards show a strong, bimodal, nocturnal activity pattern, Hyenas have a strong, unimodal activity pattern in Dnyanganga WLS. In Katepurna WLS, leopards show a strong unimodal, nocturnal activity pattern and dholes show a bimodal, crepuscular activity pattern.Item Status of Tigers, Co-Predator and Prey in Pench Tiger Reserve (PTR) 2021(Wildlife Institute of India, Dehradun, Maharashtra Forest Department, 2022) Habib, Bilal; Nigam, P.; Ramanujam, M.; Pathak, A.; Shukla, P.; Dabholkar, Y.; Bhowmick, I.The Phase IV monitoring exercise as a part of the project “Long Term Monitoring of Tigers-predators and prey in tiger reserves and other bearing areas of Vidarbha, Maharashtra, for Pench Tiger Reserve was conducted from January 2021-July 2021. This exercise, having three main objectives, the status of prey, estimation of minimum tiger and leopard numbers, and capacity building among staff flagged off with a capacity-building workshop in January 2021. Line transects surveys aimed to estimate the density of prey species were carried out in two blocks with an effort of 7 days for each transect line. Among all the prey species highest density was recorded for Chitals 24.28 (±4.83)/km2 in the core. The density of other species are as follows Sambar 6.08 (±0.98), and Gaur 1.56 (±0.39)/km2, Wild pig 4.31 (±0.90), Langur 17.02 (±3.56), Nilgai 1.91 (±0.41), Barking Deer 0.59 (±0.15), Hare 0.81 (±1.12), Peafowl 2.49 (±0.60). In the buffer area, the density of Chital was 8.63 (±4.15) and of Sambar was 1.36 (±0.40). Camera trapping based on the spatial capture-recapture framework was conducted on the same locations of the same grids (2 km2) similar to the previous cycle (2020) which were selected based on a rigorous sign survey that provided sign encounters of tiger, leopard, and other co-predators. This year the trapping was completed in a single block with 311 camera stations resulted in 8415 trap nights during May 2021-June 2021. The minimum number of individual tigers captured was 44 along with 60 leopards. Tiger density based on the Spatially Explicit Capture-Recapture framework was 4.78(±0.7)/100km2 and the density of leopard was 7.55 (±1.02)/100km2. To study space use and activity patterns we have used camera-trapping data from both core and buffer areas of Pench Tiger Reserve. Higher activity overlap was recorded between tigers and leopards (Dhat1=0.88) among predators. Camera trap locations with the number of captures of each species were modeled in a GIS domain using IDW (Inverse distance weighted) interpolation technique to generate spatially explicit capture surfaces. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled population.Item Status of Tigers, Co-Predator and Prey in Pandharkawada Forest Division (Territorial) 2021(Wildlife Institute of India, Dehradun, Maharashtra Forest Department, 2022) Habib, Bilal Status of Tigers, Co-Predator and Prey in Pandharkawada Forest Division (Territorial) 2021; Ramarao, S.V.; Jagtap, K.P.; Nigam, P.; Koley, S.The Phase IV monitoring for the Pandharkawada Forest Division (Territorial) was conducted from March –April (2021) as part of the project “Long Term Monitoring of Tigers, Co-Predators and Prey species in Vidarbha Landscape, Maharashtra, India”. The exercise aimed to cover an area of 655.336 km2 of the forested area of the entire division. The objective of the Phase IV Monitoring is to estimate the minimum number of tigers in the Pandharkawada Forest Division using Spatially-Explicit-Capture-Recapture Sampling and density estimation of prey species using Line transect based Distance Sampling. 110 pairs of camera traps were placed in the forested area of Pandharkawada Forest Division following a sampling grid of 2 km2 in all four blocks. The camera traps were active for average 30 days in each block yielding a sampling effort 3508 of trap nights of data which is used for further analysis. From the camera trap photographs 11 tigers (unique to Pandharkawada Forest Division) and 10 leopards have been identified. Tiger density per 100 km2 based on the Spatially Explicit Capture-Recapture (SECR) model was 2.356 (SE ± 0.727) in the forest division while that of leopards based on the same method was 2.99 (SE ±1.03). To estimate prey density, 84 line-transects were laid randomly all over the division and were sampled 7 times during the sampling period, with a total walking effort of 1176 km was invested. The observations include chital (Axis axis), nilgai (Boselaphus tragocamelus), chousingha (Tetracerus quadricornis), langur (Semnopithecus sp), wild boar (Sus scrofa), chinkara (Gazella bennetii), Indian hare (Lepus nigricollis) and peafowl (Pavo cristatus). As per the observations, Nilgai (n=278) is the most observed species followed by Wild boar (n=77), Peafowl (n= 54), Indian hare (n=45) and Chital (n=44). The overall prey density of Pandharkawada Forest Division is 10.977 (SE± 1.19). Due to very low observations (n<20) densities of chousingha and chinkara could not be estimated. To study the activity, we used the camera trap images. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled population. We used IDW (Inverted distance weighted) to map the intensive area used by different animal species.Item Status of tigers, copredator and prey in Tadoba Andhari Tiger Reserve (TATR) 2021(Wildlife Institute of India, Dehradun, Maharashtra Forest Department, 2022) Habib, Bilal Habib, B., Nigam, P., Ramgaokar, J., Guruprasad, G., Kale, N., Bhagwat, S. S., Krishnan, A., Hushangabadkar, P., Sheikh, S. (2022): Status of Tigers, Co-Predator and Prey in Tadoba Andhari Tiger Reserve (TATR) 2021; Nigam, P.; Ramgaokar, J.; Guruprasad, G.; Kale, N.; Bhagwat, S.S.; Krishnan, A.; Hushangabadkar, P.; Sheikh, S.Phase IV monitoring for the Tadoba Andhari Tiger Reserve (TATR) core and buffer was conducted from February – May 2021 covering an area of 1315 sq. km. as a part of the project “Long-term Monitoring of Tigers, Co-predators and Prey in Tiger Reserves and other Tiger bearing areas of Vidarbha, Maharashtra”. The objective of Phase IV Monitoring is to estimate the minimum number of tigers in the reserve using Spatially Explicit Capture-Recapture Sampling and density estimation of prey base using Distance Sampling. Camera traps were placed in 621 grids of 2.01 sq. km. area each in the core and buffer area of TATR in two blocks. In each sampling block, camera traps were active for 27 - 44 days. During 83 days of camera trapping survey with a sampling effort of 20,965 trap nights, 85 adult individual tigers were photographed in the sampled area of TATR. Estimated population (N) of tigers based on the best fit (SECR Heterogeneity) model was 86 (SE ± 0.71). Tiger density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model was 6.31 (SE ± 0.70). Along with tigers 114 adult individual leopards were photographed in the sampled area of TATR and estimated population (N) based on the best fit (SECR Heterogeneity) model was 118 (SE ± 2.17). Leopard density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model was 7.07 (SE ± 0.67). To estimate prey density, 133 line transects in core and buffer of TATR were sampled 7 times during the sampling period, with a total walking effort of 1862 km. During the sampling, a total of 1163 animal/bird observations were made. The overall individual density per km2 of major prey species in TATR was Gaur 2.16 (SE ± 0.39), Sambar 1.71 (SE ± 0.29), Chital 2.65 (SE ± 0.55), Wild Boar 3.73 (SE ± 0.84), Langur 3.35 (SE ± 0.71), Barking Deer 0.42 (SE ±0.08), Nilgai 1.04 (SE ± 0.25), Black-naped Hare 0.68 (SE ± 0.15) Peafowl 1.79 (SE ± 0.25) and Grey Jungle Fowl 8.19 (SE ± 1.02). A basic understanding of sympatric carnivore ecology with asymmetric competition enables us to hypothesize that to coexist and not just co-occur there must be niche segregation on at least one of the three axes: space, time, and/or diet. To understand how three large sympatric predators co-occur in space and in time, camera trapping was carried out. Temporal activity overlaps were derived by using kernel density. All the sympatric predators were found to co-occur in the sampled area of TATR. There was a distinct difference in the space-use pattern observed for all three carnivores and a strong spatial segregation pattern found between Tigers, Dholes, and Leopards. It showed significant segregation and avoidance of each other’s space. There was a significant overlap between the temporal activity pattern of tigers and leopards. While tigers and leopards show a strong, unimodal, nocturnal activity pattern, dholes show a bimodal, crepuscular activity pattern.