WII Technical Reports/Books/Manuals

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Start date: 2020Subject: search.filters.subject.Distribution

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    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. 2
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    Ecological impacts of major invasive alien plants on native flora in Rajaji Tiger Reserve, Uttarakhand
    (Wildlife Institute of India, Dehradun, 2024) Kumar, Amit; Kumar, S.; Sahu, H.; Patra, R.; Page, N.; Qureshi, Q.
    This study focuses on Rajaji Tiger Reserve in Uttarakhand, within the Shivalik hills, to investigate the invasion patterns and ecological impacts of a major invasive plant species
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    PAN-India assessment and monitoring of endangered species covered under the Integrated Development of Wildlife Habitat Program (IDWH) - Snow leopard
    (Wildlife Institute of India, Dehradun, 2025) WII-MoEFCC
    In 2019, the MoEF&CC launched the 'Snow Leopard Population Assessment in India (SPAI)* program, as part of India's active participation in the National and Global Snow Leopard and Ecosystem Protection Program (NSLEP & GSLEP). India has contributed in three significant landscapes to NSLEP & GSLER viz. Hemis-Spiti, Nanda Devi-Gangotri, and Khangchendzonga-Tawang. Alongside twelve National Snow Leopard and Ecosystem Priorities (NSLEPs), these efforts are aimed at conserving snow leopard and its habitats. The SPAI was designed to generate scientifically robust national and state-wise population estimates of the snow leopard across the high altitude habitats both inside and outside protected areas. Its overarching goal is to gather reliable data to guide effective conservation efforts and policy decisions. Based on the consultations with the Chief Wildlife Wardens (CWLWS) of the states and Union Territories (UTs) the SPAI sampling exercise was effectively executed across the PAN-INDIA Assessment and Monitoring of Endangered Species Covered Under the Integrated Development of Wildlife Habitats Program (IDWH) - SNOW LEOPARD Union Territories of Ladakh and Jammu & Kashmir and four snow leopard range states viz. Himachal Pradesh, Uttarakhand, Sikkim, and Arunachal Pradesh. The SPAI exercise was conducted from 2019 to 2023 following a two-step framework. Within this, the STEP-I involved a meticulous evaluation of snow leopard spatial distribution, incorporating habitat covariates into the analysis. This approach, founded on occupancy modeling, relied on data sourced from sign and interview surveys, comprehensive fieldwork, and precise geospatial mapping. This assessment culminated in the refinement of the snow leopard distribution map and the establishment of a foundational dataset for the stratification of snow leopard population sampling. In the STEP- II, snow leopard abundance estimation was achieved through camera trapping. Furthermore, comprehensive abundance assessments were conducted for the primary prey species at selected sites. Given the constraints posed by the situations of Covid-19, some states such as Sikkim and Arunachal Pradesh conducted the STEP-I and II exercises simultaneously. Till 2016, a substantial third of the snow leopard range (spanning ca. 100,347 km2) had not received research attention, which was reduced to just 5%, mainly in small pockets of Ladakh, Jammu & Kashmir; Uttarakhand, and Himachal Pradesh. However; status surveys in the recent years have increased the understanding on preliminary information about snow leopard or prey is available for 80% of the snow leopard range (ca. 79,745 km2), compared to 56% in 2016. To provide robust information on the snow leopard numbers, the SPAI exercise involved surveying the snow leopard habitats using a substantial network of camera traps. In total, the SPAI sampling exercise utilized 1,971 camera trap locations, leading to the identification of 241 unique individuals. These comprehensive findings allow for the estimation of a total snow leopard population of 718 individuals in India. A total of 126 unique snow leopard individuals were identified from the Union Territory of Ladakh, across a total of 956 camera trap locations, yielding an estimated density of 0.34 individuals/100 km2 and a population of477 individuals. Camera trapping efforts in 135 sites in the Union Territory of Jammu & Kashmir led to detection of 9 unique individuals across the snow leopard range. The estimated density was 0.75 individuals/100 km2 and population of 9 individuals. For the snow leopard range states, Himachal Pradesh recorded a total of 44 unique individuals identified across 284 camera trap locations. The density of snow leopard in the state ranged from 0.08 to 0.37 individuals/100 km2. The exercise was indicative of a mean population size of 51 individuals of snow leopard in Himachal Pradesh. The state of I PAN-INDIA Assessment and Monitoring of Endangered Species Covered Under the Integrated Development of Wildlife Habitats Program (IDWH) - SNOW LEOPARD Uttarakhand recorded a total of 40 unique individuals, with a density ranging from 0.7 to 1.04 individuals/100 km2. The population estimates of snow leopard in Uttarakhand was 124. In the eastern Himalayan states, Sikkim, with a total of 99 camera trap locations, recorded a total of 14 unique individuals with an estimated density of 0.40 snow leopards/100 km2. The estimate was 21 snow leopards for this state. On the other hand, in Arunachal Pradesh, 8 unique snow leopards were identified across 115 camera trap locations. The density was 0.26 individuals/100 km2 and the population was estimated as 36 individuals in the state. In the Indian Himalayan region, two prey species dominate the diet of the snow leopard: the bharal or blue sheep (Pseudois nayaur), and the Siberian ibex (Capra sibirica). Bharal exhibit a near-total range overlap with snow leopard across the greater and trans-Himalayan regions, while ibex occupy extensive ranges within the northwestern trans-Himalayan region. In the subalpine and alpine region Himalayan tahr and musk deer form important component to snow leopard diet. Other mountain ungulates, though less prominent, contribute to the diet and hold local importance. Himachal Pradesh is the only snow leopard range state in India where systematic surveys on its primary prey species have been conducted. Conversely, states like Arunachal Pradesh and Jammu & Kashmir remain significantly understudied, while data from Uttarakhand and Sikkim are fragmented and localized. Ladakh, due to its visibility and accessibility, has a relatively well-documented history of ungulate monitoring. Limited long term data suggest a decline in ungulate populations across the Himalaya, except for the Tibetan antelope (Pantholops hodgsoni), which has shown signs of recovery. Markhor (Capra falconeri) habitat shrank from 300 km2 in the 1940s to just 120 km2 by 2004-2005. Similarly, musk deer (Moschus spp.) in Kedarnath Wildlife Sanctuary (Uttarakhand) have seen a steady decline from 3.7 individuals/km2 (1989-1991) to 1.2 individuals/km2 by 2000. A similar declining trend is evident in ibex (Capra sibirica) populations in Pin Valley National Park, Himachal Pradesh. Density estimates dropped from 2.3 individuals/km2 in 1989 to 1.2 individuals/km2 in 1997, with a further reduction to 0.37 individuals/km2 by 2012. These declines underscore the urgent need for targeted conservation efforts and systematic prey monitoring to ensure the long-term viability of snow leopard populations.
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    Unveiling Torputitora presence in Sikkim streams through eDNA
    (Wildlife Institute of India, Dehradun, 2025) Mane, S.S.; Pant, B.; Kolipakam, Vishnupriya
    Environmental DNA (eDNA) metabarcoding was used to detect the presence of Tor putitora (Golden mahseer) in selected streams of Sikkim. Water samples were collected from six sites based on habitat characteristics conducive to the species survival. The collection of samples was followed by filtration of water samples, isolation of the DNA, PCR and sequencing targeting the COI region were conducted under aseptic conditions. The results confirmed Tor putitora presence at two locations (BR-06 and BR-08) with high certainty (>99%) aligning with previous studies on tis distribution in Sikkim. These results indicate that these streams serve as habitats for Tor putitora. These findings highlight the potential of these streams to support mahseer populations, reinforcing the need for conservation efforts to protect these critical habitats from ecological threats like ecological pressures, including hydropower and linear infrastructure development. This study adds to the expending evidence concerning mahseer distribution in Sikkim and highlights the critical need for conservation initiatives aimed at safeguarding its essential habitats by incorporating appropriate mitigation measures. Continued research and long term monitoring are imperative to evaluate population dynamics and ensure the sustainable management of Tor putitora in the region.
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    Status of Golden Mahseer in River Kosi, Uttarakhand - status report
    (Wildlife Institute of India, Dehradun, 2020) Johnson, J.A.; Dhawan, Bhawana; Bargali, H.S.; Neha, V.; Sivakumar, K.
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    Current population status, distribution and threats to Indian pangolin (Manis crassicaudata) in Terai Arc Landscape, Uttarakhand: a pilot study
    (Wildlife Institute of India, Dehradun, 2020) Lyngdoh, Salvador
    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
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    Status survey of Migratory birds and key wildlife in Bikarner district, Rajasthan
    (Wildlife Institute of India, Dehradun, 2021) Dutta, S.; Kher, V.; Uddin, M.; Supakar, S.; Karkaria, T.; Gupta, T.; Paul I; Verma, V.; Pandey, D.; Verma, V.; Phasalkar, P.; Khanra, A.; Jora, V.S.; Kataria, P.S.; Chhangani, A.K.; Bipin, C.M.; Jhala, Y.V.
    The Bikaner district of Rajasthan supports a wide variety of wildlife that has not been rigorously surveyed in the past. Robust status assessments with reproducible methods are vital for monitoring wildlife trends, particularly in regions like Bikaner that are undergoing large-scale land-use changes, which are potentially detrimental to native wildlife. Therefore, a large-scale survey was organised by the Wildlife Institute of India in collaboration with Rajasthan Forest Department, Government Dungar College and Maharaja Ganga Singh University to assess the status of key wildlife in the Bikaner district of Western Rajasthan. Notably, this survey was planned at the request of Bikaner district residents, who conveyed their wish to conduct a wildlife survey to the Hon’ble Member of Parliament, who invited the Wildlife Institute of India through the Ministry of Environment, Forest & Climate Change and to execute the survey. Consequently, the data collection was conducted in a citizen science framework and involved active participation by a diverse group of researchers, frontline staff, University students and wildlife enthusiasts. The survey assessed the distribution and abundance status of key wildlife, particularly migratory, arid-adapted and raptorial species of birds, their habitat associations, potential threats in the landscape, and community perceptions towards conservation. The Bikaner parliamentary constituency was divided into four sampling blocks (Bikaner, Kolayat, Chattargarh and Mahajan) and overlaid with 144 km2 (12 x 12 km grid) cells. A total of 89 such cells covering 12,816 km2 area were extensively surveyed using vehicle transect method. In each cell, dirt-trails or unpaved roads of 16.2 ± 4.1km length were traversed using slow-moving vehicles and animals were recorded during peak activity periods (0700hrs-1300hrs and 1600hrs-1900hrs). Data on iconic native fauna (chinkara, foxes, bustards, cranes and raptors) and key neobiota (dog, pig and nilgai) was collected on these vehicle transects (1442 km total length). Information on small birds, habitat characteristics and anthropogenic disturbances was recorded at regularly placed transect stop-over points (802 points). Major avian congregations or 'hotspots' (carcass dump at Jodbeed, wetlands and lakes at Gajner, Lunkaransar, RD507 and RD750) were surveyed using simultaneous point-counts and line transects. Community perception towards conservation was assessed using structured questionnaires conducted in select households of randomly selected villages. Species' population estimates were obtained using analytical techniques such as distance sampling and simultaneous block counts. During the survey, 1,880 Chinkara individuals were detected in 684 herds with an encounter rate of 139.78±18.72 individuals per 100km. The estimated density of chinkara in the surveyed area was 4.27±0.65 individuals/km2, yield abundance of 54,745±8,392 individuals 12 in the surveyed area. Similarly, 112 desert foxes were seen during the survey and the density was estimated to be 0.58±0.11 foxes/km2, yielding abundance of 7,456±1,356 individuals. Other mammals recorded during the survey were Desert Cat (0.57±0.2 individuals/100km), Nilgai (14.39±2.91 individuals/100km), free-ranging Domestic Dogs (26.07±3.6 individuals/100km) and Indian Wolf (one sighting). Among large birds, the encounter rate of the Demoiselle Crane was estimated at 5.47±3.14 individuals/100km. The five most common raptor species (individuals per 100 km) were Griffon Vulture (16.44±6.94), Egyptian Vulture (8.73±2.35), Common Kestrel (7.39±0.88), Black-winged Kite (5.35±0.89) and Long-legged Buzzard (5.13±0.69). Among small birds, 2,859 individuals from 103 species were recorded on point counts. The most abundant species were Common Babbler, Eurasian collared Dove, House Sparrow, White-eared Bulbul, Red-vented Bulbul, Greater short-toed Lark and Variable Wheatear. The total density of small birds, excluding birds in flight and rare species, was estimated at 997±58 individuals/km2. A total of 24,674 individual birds belonging to 95 species across 36 families were recorded during hotspot surveys. RD750 had the highest number of individuals and species (15,666 individuals of 76 species), followed by RD507 (6,501 individuals of 34 species), Lunkaransar lake (1,749 individuals of 25 species) and Gajner lake (758 individuals of 38 species). Common Coot, Demoiselle Crane, Common Pochard, Common Teal and Gadwall were the most abundant species that were recorded. Two Endangered (Egyptian Vulture and Steppe Eagle), two Vulnerable (Common Pochard and River Tern), and six Near-Threatened species (Black-headed Ibis, Dalmatian Pelican, Eurasian Curlew, Ferruginous Duck, Northern Lapwing, and Painted Stork) were recorded during the hotspot survey. The habitat was characterised by flat and mildly undulating terrain, dominated by scrublands followed by agriculture (fallow and cultivated). Active disturbance such as humans or livestock was present in 72% of surveyed plots. Passive disturbance such as fences, electric lines, paved road/ highway etc., was recorded at 87% of the points. In terms of vegetation, the most dominant natural vegetation was Kheemp (Leptadenia pyrotechnica) > Khejri (Prosopis cineraria) > Bhui (Aerva sp.) > Phog (Calligonum polygonoides) > Chugh (Crotalaria burhia) > Aak (Calotropis procera) > Ganthia (Dactyloctenium scindicum) > Prosopis juliflora. There was a positive association between the presence of fences and that of cultivation, human, livestock, dog, water-source and power-lines, indicating that fences could be a proxy for other disturbances. We found distinct associations between species and habitat. Plants such as Leptadenia and Calligonum occurred more in undulating and less disturbed areas. Aerva occurred more in sandy, less disturbed areas, whereas Prosopis juliflora and Calotropis procera occurred more in flat, disturbed areas. Faunal species such as Chinkara decreased 13 in abundance with the proportion of area under cultivation while Nilgai showed an opposite trend. Desert Fox and Desert cat did not show any response to habitat gradients, whereas dogs were more abundant in flat, disturbed areas. Steppe Eagle, Egyptian Vulture and Laggar Falcon decreased in abundance along canal-irrigated areas. Birds such as Eurasian collared dove, Grey Francolin, Indian Robin and Indian Peafowl preferred flat terrain. Presence of disturbances favoured the Common Babbler, Eurasian Collared Dove, Grey Francolin, Red Vented Bulbul and Variable Wheatear, but negatively impacted the Ashy-crowned Sparrow Lark, Greater Short-toed Lark and Yellow-eyed Pigeon. Questionnaires were conducted with 170 respondents in 61 villages spread over 24 cells. 1.7±1.0% of respondents reported seeing a Great Indian Bustard (Ardeotis nigriceps) around their villages in the past 5 years. The reporting frequency of dog, nilgai and fox was higher than that of chinkara, crane and wild pig. More people reported an increasing population trend for neo-colonised species (dogs, nilgai and wild pigs) than for native species (chinkara, fox or crane). On similar lines, more people reported that native biota (particularly chinkara and vultures followed by cranes and peafowls) have reduced in occurrence over the past few years. Habitat loss due to agricultural expansion and associated activities (fencing, pesticide usage, borewell irrigation etc.) was the most widely reported cause for wildlife decline; other causes being poaching, predation by dogs, climate change and powerlines. A high percentage of respondents (85±3%) were aware of a conservation area (managed either traditionally as Orans or by the Forest Department) around their village. 12±3 % of respondents complained regarding encroachment of Orans around their villages. Our survey highlights that Bikaner region is undergoing rapid land-use changes due to intensive irrigated agriculture, infrastructure and industries. To understand their ecological impacts, regular assessments of wildlife populations through standard, reproducible methods become important. Based on this survey and consultation with Rajasthan Forest Department and local experts, the following preliminary recommendations are suggested: a) greater conservation emphasis on sites such as Jorbeed Conservation Reserve, Deshnok Oran, Tokla Oran, Bhinjranwali and 750RD, b) mitigation of potential threats such as power-lines, fences and free-ranging dogs, c) protection of Orans from encroachment and development of grasslands for wildlife/livestock use, d) development of sites such as RD750 and Lunkaransar lake for ecotourism through careful and consultative planning, e) and replication of this survey for assessing wildlife trends.
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    Status of Ganges River Dolphins, threats and best practices for conservation
    (Wildlife Institute of India, Dehradun, 2021) Qureshi, Qamar and others
    The 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 nets
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    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.