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Item Identification of human-leopard hotspot the prioritizing the mitigation measures in Junnar Forest Division, Pune, Maharashtra(Wildlife Institute of India, Dehradun, 2020) Habib, B.; Khandekar, V.; Nigam, P.; Mondol, S.; Jayaramegowda, R.; Ghanekar, R.; Kumar, A.Mitigation of human-carnivore conflict became a priority to wildlife managers for the conservation of large carnivores and human livelihood. Hence, for the effective mitigation measure, it is necessary to identify the priority human-carnivore conflict hotspots. In India, the growing human population, infrastructure development, and land modification are affecting the large carnivore population leading to human carnivore conflict. Among human-carnivore conflict, human-leopard conflict is common in different geographical regions due to the adaptability of species across a different environmental gradient in India. Human-leopard conflict records of 20 years (1999-2018) were collected from the different ranges of the Junnar Forest Department (JFD) in the Pune district. The area is known for the human-leopard conflict for the past three decades. The records show an abrupt surge of human-leopard conflict after the year 2014. Using these records, spatio-temporal clusters of the hot spots and cold spots were identified using optimized hotspot analysis tool in ArcGIS. Also, five different categories of hot spots in the study area namely, new hot spots, consecutive hot spots and sporadic hot spots of human-leopard conflict through emerging hot spot analysis in ArcGIS were identified. It is suggested that different management approaches and strategies focusing on the different categories of hotspots are required to deal with human-leopard conflict for effective mitigation measures. Villages have been highlighted as the new conflict hotspots i.e. which has emerged in recent years. Immediate actions like intensive night patrolling and awareness in the villages to control will help in reducing human leopard conflict.Item Capacity building initiative on the dispersal and ranging patterns of elephants for effective management of human-elephant interactions(Wildlife Institute of India, Dehradun, 2022) Nigam, P.; Pandav, B.; Mondol, S.; Lakshmiarayanan, N.; Kumar, A.; Nandwanshi, V.B.; Das, J.; Biswas, S.; Udhayaraj, A.D.; Vishwakarma, R.; Habib, B.; Miachieo, K.; Narasingh Rao, P.V.Wild Asian elephant (Elephas maximus) populations are distributed in four major regions namely North West, North-East, East-Central and Southern regional meta-populations across India. Amongst them, the East-central regional population spread across the States of Odisha, Jharkhand, southern West Bengal, Chhattisgarh, and lately in Madhya Pradesh suffers disproportionately high levels of human elephant conflict. Among the myriad challenges facing management of human-elephant conflict in the region, elephant range expansion into new areas is overriding. One such range expansion that resulted in acute human-elephant conflict is being witnessed in the State of Chhattisgarh. Although northern Chhattisgarh was historically an elephant range, elephants reportedly disappeared during the period 1920 to late 1980s. While episodes of sporadic elephant occurrence in Chhattisgarh was reported during the period 1988- 1993, contemporary range expansion and concomitant human-elephant conflict began from the year 2000, and has accelerated during the last one decade. Faced with an enormous challenge of managing human-elephant conflict that is spatiotemporally dynamic unlike that of other elephant range States, constrained by limited Institutional capacities to assess and deal with the issue. Chhattisgarh Forest Department has been trying diversity its conflict mitigation strategies. Recognizing the need to objectively evaluate human-elephant conflict situation in the State, during the year 2017 Chhattisgarh Forest Department invited Wildlife Institute of India to conduct ecological research on elephants in Chhattisgarh with a three-year budget outlay. The project was a collaborative effort between Chhattisgarh Forest Department and WII. Considering the scope of the project, the project duration was further extended and eventually, the project lasted for the period July 2017 to March 2022. Being the final project report, the activities carried out as part of the project is summarized as under. Distribution and Demography In Chhattisgarh, the elephant distribution during the period 2012 to 2017 was reported from 16 Forest Divisions and four Protected Areas in the north and north-central regions of the state. The elephant population, as enumerated by Chhattisgarh Forest Department during 2021 , ranged from 250 to 300. The adult sex ratio recorded during the study was 1: 4.5. About 44% of the female segment of the population comprised of adults. Chhattisgarh elephant population is presently contiguous with other elephant populations in the neighboring states i.e., Madhya Pradesh, Jharkhand and in Odisha occurring as a meta-population 1 and thus cannot be considered as an isolated population. However, within Chhattisgarh, the population is relatively small and it occurs scattered over a large area as small and disjunctive groups facing a perpetual risk of getting isolated by ongoing linear infrastructure and other associated developmental activities in the State. If such groups get isolated, then they will not be viable in the long run. 1 Meta-population: Population of small populations that are connected through dispersals 1 O. ~ . -~ 1 -WU.d.U.fe .In.s-titu-te. o.f .In.di a Home Range, Movement Patterns & Dispersal, and Habitat Selection by Elephants During the period 2018-2022, WII-CGFD collaborative effort resulted in 10 elephant radio collaring in Chhattisgarh. The resultant effort provided 3106 elephant days of tracking information. Each of the radiocollared elephants provided an average of 310.6 (± 273) days of tracking data. As on 31 51 March 2022 when WII-CGFD collaborative project ended, two of the collared elephants (SD - Sehradev and MT - Maitri) were having functional collars. The estimated average home range (95% minimum convex polygon) of elephants in Chhattisgarh was 3172.8 km2 (± 2002.2 km2, Range: 462.3 - 6969.7 km2). The 95% kernel density home ranges of elephants were much lower averaging 512.3 km2 (± 235.3 km2, Range: 126.5 - 748.9 km2). The elephant home ranges were not wholly well defined, and marked by inter-annual shifts caused by exploratory behaviour. The elephant home ranges were relatively large. The dry season home ranges were significantly lower than monsoon and winter ranges. However, dry season home ranges of elephants are larger. The present study indicates that habitat quality in some of the forest patches - particularly those that are large and contiguous with minimal of human interference can potentially support elephants in the landscape. Thus, dry season ranges of elephants could serve as a surrogate for habitat quality. Monthly variations in home ranges were significant, and best explained by idiosyncrasies of individual elephants. Among the forest types open, moderately dense and very dense forests classified by Forest Survey of India based on crown densities, elephants selected open forests, that were predominantly juxtaposed with human-use areas. Although the crown density was low, the patches of open forests support dense stands of Sal (Shorea robusta) coppice with rank undergrowth offering adequate cover for elephants. Elephant habitat selection of these open forest patches appears to be influenced by potential foraging opportunities in human-use areas, and further facilitated by low inter-patch distance. Genetic Structure of Elephants Using 258 genetic samples collected from 9 Forest Divisions, elephant genetic structure in northern Chhattisgarh was evaluated. Analysis indicates that at least two different elephant lineages occur in Chhattisgarh. This implies that elephants occurring in Chhattisgarh have possibly come from different areas. Within the two different lineages, high relatedness amongst the individuals was observed corroborating with the general social structure of Asian elephant clans where individuals are mostly related. Crop Losses and Human Fatalities due to Elephants Crop losses caused by elephants were acute and widespread in Chhattisgarh. To draw an analogy, Karnataka's ex gratia payment towards crop losses by elephants during the period 2015-2020 was comparable with Chhattisgarh, although the former's elephant population is 93% more than the latter. The landscape-level assessment covering the whole of northern Chhattisgarh, and fine-scale assessment covering select areas in Surguja circle identified correlates of crop losses at both spatial scales. Elephant-related human deaths were widespread in the state. However, nearly 70% of incidences occurred in areas of high intensity of habitat-use by elephants. The human fatalities due to elephants were both temporally and spatially auto-correlated. 2Item Elephant - human conflict in the state of Jharkhand, India (2000-2003) : trends, challenges and insights(Wildlife Institute of India, Dehradun, 2025) Habib, Bilal; Pandey, R.; Nath, A.; Nigam, P.; Ganesan, A.; Roy, K.; Datta, A.Item Enrichment Manual for Selected Species in Indian Zoos(Wildlife Institute of India, Dehradun, 2015) Tyagi, P.C.; Nigam, P.; Srivastav, A.; Goswami, S.; Ningombi, M.This manual will be an important reference source for the zoo managers for execution of welfare measures, developing innovative techniques and enrichment methods for improving the welfare of animals in Indian zoos.Item National studbook of Phayre's leaf monkey (Trachypithecus phayrei)(Wildlife Institute of India, Dehradun, 2014) Nigam, P.; Nilofer, B.; Srivastav, A.; Tyagi, P.C.Item Study of genetic diversity in wild (Sus scrofa cristatus) and domestic (Sus scrofa domestica) pig to find level of hybridization between them in the vicinity of Ranthambhore National Park(Wildlife Institute of India, Dehradun, 2015) Pandey, P.; Nigam, P.; Chauhan, N.P.S.; Goyal, S.P.Wild pig (Sus scrofa cristatus) has a wide geographical range among all ungulates and terrestrial mammals found in the Indian subcontinent and forms an important prey-base for carnivores. Despite the variation with domestic pig in chromosome numbers, these animals can mate and produce fertile hybrids that have physical attributes similar to wild pig. A systematic study on wild pigs by the Wildlife Institute of India in Ranthambhore National Park revealed that wild pigs stray out of national park, raid agricultural crops and utilises the agro-ecosystem in peripheral villages for food resource and shelter and thus coming in contact of domestic pigs. As a result, there may be genetic hybridization between the wild and domestic pig populations. Hybridization between wild and domestic pigs may lead to introgression of alien alleles that can affect the genetic fitness and overall immune response. Thus in order to detect the hybridization and to quantify the impact on wild species, genetic assessment of wild and domestic pig is necessary with ultimate goal to find out extent of hybridization if any. Therefore, a study on genetic assessment of wild and domestic pigs and to evaluate the use and efficacy of power fence in controlling crop damage caused by wild pigs as advised by the Training, Research and Academic Council (TRAC) was undertaken from 04.02.2012 to 03.08.2014 around Ranthambhore National Park. The objectives of the study were (a) To study genetic diversity in wild and domestic pigs in the vicinity of Ranthambhore National park, (b) To find the level of hybridization between wild and domestic pigs based on genetic variability, (c) To evaluate the use and efficacy of power fence in controlling crop damage caused by wild pigs, (d) to evaluate the use and efficacy of power fence in controlling crop damage caused by wild pigs and (e) Based on the findings of the project, examine the possibility of hybridization between wild and domestic pigs in other parts of the country for further study. In view of this, report has been in two parts i.e. Section –I describes the genetic assessment of wild and domestic pigs where as Section II is related to use and efficacy of power fence. We systematically collected the biological samples of unrelated domestic pigs (n=65) from different villages surrounding the Ranthambhore National Park as a zone of interaction and also from different parts of Sawai Madhopur city as a control. For the genetic characterization and detection of event of introgression in wild pigs, we proposed collection of 30-40 blood samples in the project. The habituation of animals on baits could not been successful in spite of best efforts. This was due to the delayed receipt of permission to capture animals, in appropriate weather conditions making habituation procedure difficult and unsuccessful capture. In view of this, we collected other samples of wild pigs such as hair and faecal matter to meet the objectives of the project as these samples are equally amenable for genetic analysis but require appropriate optimization of protocols. Thus we collected blood samples (n=6) of unrelated wild pigs representing Ranthambhore National Park. Apart from blood samples, we also collected wild pigs faecal (n=26) and hair samples (n=34). For genetic diversity and detection of event of introgression, we amplified partial fragment (662 base pairs) of control region from mitochondrial genome (Asch et al., 2011) and a panel of 10 highly polymorphic microsatellite markers in domestic (n=55) and wild pig samples (n=66). We tested the applicability non-invasive faecal and hair samples for genetic assessment and evaluation of genetic introgression. Faecal DNA was of low molecular weight with PCR success rate restricted up to 200 base pair of mitochondrial DNA. We found PCI and Qiagen kit protocol for DNA extraction better for hair DNA extraction. As reported in the literature for PCR success (40 to 80%) in using such samples, our success rate in pig samples (hair and a faecal matter) was also between 60 and 90% whereas it was possible to obtain good quality data with all blood samples. Hence, collection of adequate invasive samples at large landscape would be difficult, therefore, we suggest use of non-invasive samples i.e. faecal matter and hair in future studies. Optimized protocols undertaken in this study for using noninvasive samples would have immense advantage for undertaking future cost effective studies on wild pigs. First time we report presence of two haplotypes with one segregation site in 560 base pair of amplified sequence of control region in eastern most population of wild pigs. Two haplotypes (WP_Hap-1 and WP_Hap-2) were shared equally i.e. 50% each in the population. The overall haplotype diversity of wild pigs was found 0.6 ± 0.13 whereas the nucleotide diversity was 0.001. In total 13 haplotypes with 24 segregation sites were recorded in 590 base pair of amplified sequences of domestic pigs. Two haplotype (Hap-1 and Hap-9) were shared by 80% of domestic pigs examined so far. Seven haplotype were detected only once (DP_Hap-3, DP_Hap-5, DP_Hap-8, DP_Hap-10, DP_Hap-11, DP_Hap-12 and DP_Hap-13) indicating their different geographic origin. The overall haplotype diversity of domestic pigs was found 0.79 ± 0.04 whereas the nucleotide diversity was 0.01. We selected eleven microsatellite markers for genotyping purposes. Of total samples (n=66), it has been possible to generate data complete data on multi locus genotyping only for 22 and were used for introgression purposes. Out of the eleven microsatellite markers tested on domestic and wild pig samples, three loci (S0090, S0026 and SW72) deviated from HWE whereas SW72 also showed presence of null alleles in domestic pigs. Six loci (SW122, SW24, S0090, 0225, S0226 and SW911) deviated from HWE whereas none of the loci showed sign of null alleles in wild pig samples analyzed. We found overall high genetic diversity in domestics pigs (Na=14.2, Ho=0.72 and He=0.86) as compared to the analyzed wild pig samples (Na=3.2, Ho=0.7 and He=0.7). We did not find any common haplotype between individuals of wild and domestic pigs and thus the introgression at mitochondrial level can be ruled out in the analyzed samples. We analyzed microsatellite marker data of both domestic and wild pig samples. By using Bayesian MCMC approach implemented in Structure 2.3.1. indicated admixed nature (ca.55%) of the wild pig samples. Similar results were also observed during factorial component analysis (FCA) where the wild pig individuals showed more affinity towards domestic pigs. Thus we report first time the presence of hybrid wild pig individuals (wild at mitochondrial level and domestic at nuclear level) in RTR. Therefore, absence of mitochondrial genetic introgression and presence of nuclear genetic introgression suggests unidirectional hybridization. Section II, describes the use and efficacy of power fence which was evaluated in controlling crop damage caused by wild pigs. Traditionally, wild pigs have been kept out of cultivations by scaring them away or restricting them with barriers. Scaring wild pigs with flash lights, fire, fire-crackers, crop protection guns, stone slings etc may effectively deter them sometimes. Most forms of effective barriers for wildlife such as trenches, rubble wall or conventional fences, are expensive to construct and maintain. A power fence is purely a psychological barrier. Power fence is a relatively new control technique and not fatal for animals and only restricts their movements. Power fencing is most effective and safe to animals and to humans. If properly constructed and maintained, it can effectively keep most of the animals out. Power fencing system provides an economic and a practical solution to achieve maximum protection through effective control of animal trespass. In this study, we developed the pig-proof power fences by construction of fence line around the crop fields in Jaitpur village situated on the boundary of Ranthambhore National Park, and evaluated their efficacy in reducing crop damage. We compared the extent of wild pig crop-raiding in the fenced and adjacent unfenced areas. The power unit had a solar panel, a 12 volt power battery, and an energizer to provide current to 1.5 km length of the two fences. We erected the electric fence as per the designs specified in June 2006 under different project when the fields were prepared for sowing crops. A fence design with posts at an interval of 8 meters and GI wires at the height 15, 37.5, 62.5, 100 and 135 cm were tested. Another design with posts at an interval of 8 meters and GI wires at the height 15, 37.5, 62.5, 100, 135, 165,195 and 225 cm was also constructed. The pig-proof fence was 4.5 feet in height with five strands; the first and third strands were connected to earthing, and the rest three i.e. 2nd, 4th and 5th strands were live strands. The pig and nilgai proof fence line was constructed along the forest boundary and crop fields, and it was 8.5 feet in height with 8 strands. The 1st, 3rd and 5th strands were connected to earthing system, and the rest five strands i.e. 2nd, 4th, 6th, 7th and 8th were live wires. The fences were monitored regularly by walking along the perimeter to evaluate their effectiveness and we discuss our findings . Both the fences were maintained properly. We recorded high range of voltage (7.9- 8.1 KV) at the energizer point. Average output voltage of the main fence i.e. nilgai-pig pro offence ranged from 5.5 to 6.5 KV. The voltage of small pig-proof fence was slightly on the lower side i.e. 5.2 to 6 KV. The voltage at 1000m fence length was higher than at shorter distances, which might be due to good earthing system. Overall the fences were found effective against pigs and nilgai. We conclude that the present study support the ecological finding (of previous project of WII) about genetic introgression between wild and domestic pigs around Ranthambhore National Park. This study provides valuable information on the genetic structure of indigenous wild pig which would be useful for future conservation program. Wild pig in RTR is in a vulnerable state as a distinct genetic wild resource and we suggest for appropriate measures to be undertaken to minimize the contact zone between wild and domestic pigs in and around RTR by using appropriate physical barriers as designed and tested for its efficacy. This may enable to restore genetic diversity of wild pigs after few generation through back crossing with wild pigs. We also suggest there is a need to re-visit the study in RTR with using optimized protocols to document spatial distribution of hybrids using NGS (hair and fecal matter) for developing appropriate strategies of wild pig genetic resource adapted to hot climatic conditions (Estimated expenditure would be Rs.6.0 lakhs/year). In view of valuable wild pig genetic resource for human being, there is a need to assess extent of introgression from domestic to wild pig populations of different bioclimatic zones. We also suggest for use of both mtDNA and nuclear markers which avoids inheritance bias because they detect information on both the maternally and codominatly inherited regionsItem Preliminary assessment of tigers, co-predators and prey in Pranhita Wildlife Sanctuary, Maharashtra, India for exploring options for conservation translocation(Wildlife Institute of India, Dehradun, 2020) Habib, B.; Nigam, P.; Joshi, K.; Panwar, P.As part of the project “Preliminary assessment of tigers, co-predators and prey species in Pranhita Wildlife Sanctuary, Maharashtra, India for exploring options for conservation translocation”, the study was carried out in Pranhita Wildlife Sanctuary in Gadchiroli district of Maharashtra. The fieldwork was carried from January 2019 to June 2019 covering an area of 418.85 km2 in southern Gadchiroli. The Eastern Vidarbha Landscape (EVL) holds a high density of carnivores both inside and outside protected areas leading to an increase in human-wildlife interactions. Pranhita Wildlife Sanctuary (PWLS) is a part of EVL and could be an important corridor. To explore new habitats for carnivore species, we conducted a preliminary assessment of tigers, co-predators, and prey in PWLS. The sanctuary mainly is dominated by Southern Tropical Dry Deciduous forest. We conducted carnivore and ungulate sign surveys and deployed camera traps (n=25) in 40 km2 area in Bahmni range. The area was divided into different 1.42 × 1.42 km2 grids and at least one pair of camera trap was placed in each 2.0164 km2 grid at 20 sites and operated for 24-27 days in Bahmni range. Apart from that random camera traps were placed at 5 sites in Kamlapur and Pranhita ranges for 1 to 7 days during the study period. The camera traps sampling effort was 1030 trap nights and around 33000 images were captured. For prey species density estimation, 24 line transects of 2 km length were walked in 43 beats with 5-7 replicates. For vegetation quantification, we laid a total of 144 circular plots of a 10-meter radius and recorded 43 trees, 37 shrubs, and 13 grass species. We used both spatial and temporal data for occupancy estimation. Data were analyzed using the software Presence for occupancy estimation and Distance 7.2 for density estimation. A total of 10 carnivore species were recorded directly or indirectly during the study period. According to the IUCN Red List of threatened species, 2 are Endangered and Near Threatened, and 2 are vulnerable. The major carnivore species are leopard, Asiatic wild dog, sloth bear, Indian grey wolf, jungle cat, Indian fox, and rusty-spotted cat. The occupancy estimate (ψ) of leopard in the null model was 0.20 while for other carnivore species like sloth bear, jungle cat and wild dog were 0.70, 0.74, and 0.68 percent respectively. A total of 14 prey species were recorded during the line transect and sign survey. The major prey species are sambar, Indian gaur, chousingha, Indian giant squirrel, chital, wild pig, nilgai, barking deer, langur sp., rhesus macaque, and Indian peafowl. Among these, 3 species are listed as Vulnerable and 1 as Near Threatened by IUCN Red List. Overall density estimation of major ungulate species was 14.82/km2. The encounter rate of cattle was 0.17/km, nilgai 0.039/km, chital 0.059/km, chousingha 0.016/km, and wild pig 0.022/km. Individual density estimate of major ungulate species like chital 2.27/km2, wild pig 11.55/km2, nilgai 0.72/km2, langur 0.55/km2, Indian hare 1.78/km2, peafowl 0.44/km2, grey jungle fowl 1.87/km2, chousingha 0.28/km2 and cattle were 28.61/km2. Occupancy estimate of ungulate species like sambar 0.27%, chital 0.44%, chousingha 0.51%, Indian gaur 0.07% and nilgai were 0.59%. The major threats in the sanctuary areas are hunting for local consumption, tree cutting, livestock grazing, forest fire, roadkill, and electrocution. We have got 28 % usable images of cattle grazing and 4 % of hunting. Other administrative lacunas are impractical beat boundaries, unequipped frontline staff, lack of legal action against the guilty, inadequate infrastructure, lack of training and capacity building. There is a consistent trepidation of left-wing extremism in the minds of locals and forest officials. It prevents or demotivates them from working efficiently in the PWLS. These activities directly or indirectly affect wildlife conservation and management in PWLS. This was the first-ever scientific study conducted to document prey and predator presence in PWLS. Further detailed and long-term studies are required for a better understanding of species ecology and their habitat. Such studies will help not only in better management and conservation of species in the area but also in decision-making on conservation translocations. Based on the preliminary study and SWOT analysis following are measures to be taken before translocation of any large carnivore species to Pranhita Wildlife Sanctuary: 1. Capacity building of local staff for effective wildlife management.2. Enhancement of protection measures in the Sanctuary to reduce poaching, hunting, and other illegal activities. 3. Habitat improvement by grassland management and eradication of lantana and other invasive species. 4. Reducing threats due to electrocution by illegal power fences used for local hunting and protection of crop fields by local farmers. 5. Special forest protection force for Gadchiroli considering extremism issues.6. Augmentation of the prey base to enhance fast recovery of prey species.7. Maintaining full-strength dedicated forest staff across all range offices of the division.8. Building infrastructure such as patrolling roads, forest chowkis etc., across the sanctuary.9. Involving local people in conservation measures across the sanctuary.10. Establishment of local ecodevelopment committees. 11. Wildlife-oriented management across the Gadchiroli forest division.12. The special financial package for Gadchiroli for enhancing wildlife-oriented management.13. Mitigation measures on the existing roads through the sanctuary and other critical wildlife corridors across the division.14. Implementation of Shyamaprasad Mukherjee Jan Van Vikas Scheme for development of villages across the forested landscape of Gadchiroli to achieve sustainable development of these villages and reduce the man-animal conflict.15. Identification of potential areas within the district for designation as Sanctuary, National Park, Conservation Reserve, Community Reserve.Item Telemetry based tiger corridors of Vidarbha Landscape, Maharashtra India(Wildlife Institute of India, Dehradun, 2021) Habib, Bilal; Nigam, P.; Mondal, I.; Hussain, Z.; Ghaskadbi, P.; Govekar, R.S.; Praveen, N.R.; Banerjee, J.; Ramanujam, R.M.; Ramagaonkar, J.The Vidarbha Landscape (VL) is very important as it harbours a population of about 331 tigers and forms the connecting link between the central and southern Indian tiger populations. It plays a pivotal role in exchange of individuals and thereby facilitates gene flow between these two populations increasing the viability of tiger populations in India. There are 8 protected areas or wildlife divisions where these tigers live, but these refuges are scattered like islands in a sea of human dominated landscape. Therefore, knowing the locations of tiger movement corridors and probable areas of human tiger conflict is especially important for a wildlife manager.Item Patterns of Human-Wildlife Conflict in Chandrapur, Maharashtra, India(Wildlife Institute of India, Dehradun, 2022) Habib, B.; Nigam, P.; Praveen, N.R.; Ravindran, A.Human-wildlife conflict (HWC) is the negative interaction between human or human property and wildlife and is a growing cause for concern among conservationists and scientists globally. Although HWC is a global phenomenon, there are certain differences in its manifestation as well as magnitude in developed versus developing nations. Developed regions of the world exhibit lower levels of direct dependence on forest ecosystems and their resources, as well as exclusionary management of the wildlife habitats. India, being a developing nation, is witness to an increasing intensity of human-carnivore conflict due to the fast-shrinking percentage of forest cover, that act as natural habitats of many carnivore species, due to a combination of factors including human population explosion, agricultural expansion, and large-scale developmental activities, leading to fragmentation and destruction of forest cover all across the country. The Central Indian Landscape (CIL) is one of the regions of high tiger populations and density in India with 6 Tiger Reserves featuring heavily as source populations, including Tadoba Andhari, Pench, Kanha, Satpura, and Melghat Tiger Reserves. But there is a disproportionate decline in forest cover as well as quality, which means that even though the populations of large carnivores are thriving, there isn’t enough pristine forest to support their growing numbers. This eventually leads to a spill-over of the carnivores into surrounding human-dominated landscapes (HDL). This acts as one of the major reasons for the burgeoning number of conflict cases between humans and large carnivores. The Vidarbha Landscape (VL) of the state of Maharashtra is facing a similar decline in forest cover leading to an increase in conflict cases. Records of conflict incidents were collected from the Greater Tadoba Landscape (GTL) which covers the divisions of Brahmapuri, Chandrapur & Central Chanda, along with the Tadoba Andhari Tiger Reserve (TATR), in the Chandrapur Circle. Using these records, hotspots of livestock depredation and attacks on humans were mapped using a hotspot analysis tool in ArcGIS. Various scientific and non-scientific methods continue to be tested to slow down the increasing rate of HWC across the world. One of the major hurdles in the implementation of a universal mitigation method to curb the number and impact of HWC is the heavy influence of local factors including topography, vegetation, and human demography of the region. This requires an intensive study of the patterns and causes of conflict in a given region. Studying conflict hotspots and understanding the emerging spatial and temporal patterns is a quintessential step in the process of mitigating the HWC of any landscape. An important step in that direction is the establishment of a comprehensive database, which can be used for trend analysis and predictions. The hot spot analysis of human-carnivore conflict for tigers, leopards, and sloth bears enables visualization of the spatial distribution of events of attacks on humans as well as livestock depredation by each species, hence aiding in the development of site-specific management strategies to mitigate the effects of human-carnivore conflictItem 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.