Theses and Dissertations
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Item Indian Grey wolves (Canis lupus pallipes) in Human dominated landscape; Movement, space use and foraging(Wildlife Institute of India, Dehradun, 2023) Khan, Shaheer; Habib, BilalThe study presented a comprehensive investigation into the ecology of Indian wolves (Canis lupus pallipes) within human-dominated landscapes in Maharashtra, India. The study focused on movement patterns, den and rendezvous site selection, and food habits of Indian wolves to gain insights into their adaptation strategies and ecological interactions within changing environments. Seven adult wolves (three males and four females) and four subadult wolves (two males and two females) were captured using soft leghold traps from 2017 - 2021. Trapped wolves were held using a double-threaded nylon hockey net and immobilized using Ketamine–Xylazine by injecting intramuscularly on their hind leg and fitted with GPS collars. A total of ten wolves from seven different packs were fitted with GPS collars, and one male was fitted with a proximity collar. The GPS collars were programmed for the different intervals between positions ranging from 0.5-5 hours per fix (median=1 hour), depending on the time of year and type of individual. I then scaled the data to 1 hour per fix for movement analysis. This research underscores the importance of understanding wolf movement, denning ecology, and food habits for effective conservation strategies. As human populations and habitat alterations increase, studying wolf adaptation is crucial for species-specific conservation planning.Item Habitat, food resource utilization of Himalayan brown bear (Ursus arctos isabellinus, Horsfield 1826) and conflict with humans in Lahaul valley, Himachal pradesh(Wildlife Institute of India, Dehradun, 2023) Kumar, Vineet; Adhikari, B.S.; Sharma, Lalit KumarHimalayan brown bear (Ursus arctos isabellinus) is one of the top carnivores dominating the higher altitudes of the North and Western Himalayan landscape. In India, based on the 2005 estimate the approximate brown bear distribution range is reported to be 36,800 km2 , whereas only 10% of the total distribution area of the brown bear comes under the protected areas. There is very low density of brown bear lies in its distribution range throughout the Western Himalaya, in alpine meadows, scrub and sub-alpine forests of two Union Territories (Jammu and Kashmir; and Ladakh) and two Indian Himalayan States, Himachal Pradesh and Uttarakhand. Due to its inaccessible and high altitude habitat, the brown bear has been poorly studied in India, as well as in other parts of the Asian highlands.In the recent decade, the widespread exponential growth of the human population, infrastructure development, and agricultural intensification has led to the alteration of natural habitats into human-modified landscapes, bringing humans and wildlife into close proximity. In areas where brown bear and human habitation are in close proximity, brown bears feed on agricultural/horticultural crops and livestock predation leads to human-brown bear conflict and lessens local tolerance for bears. As the human settlements encroach further into remote areas, bear-human conflict escalates. Himalayan brown bear in its distribution range in India facing prevailing threats such as habitat loss, cropland expansion, anthropogenic disturbances, human brown bear conflict and climate changes. The present study was proposed to understand in detail the habitat use and feeding habits of brown bear with respect to human-brown bear conflict to develop mitigation strategies. For conducting this study, the vast geographic area of Lahual valley was stratified into different habitats and then divided into 10 km × 10 km grids for extensive study. First objective of this study aimed to understand the habitat utilization pattern of the Himalayan brown bear in selected grids of Lahaul Valley across the seasons (Intensive study area). To achieve this objective sign survey and camera trapping data was used and sixty-five logistically possible grids were surveyed across the seasons (summer and pre-hibernation), in different habitats and elevation gradients.he findings of the present study highlight a distinct seasonal pattern in habitat use of the Himalayan brown bear. In summer, bears predominantly utilized the areas with extensive vegetation cover as evidenced by a positive association with rangeland and Shannon diversity index and NDVI-summer, particularly away from the human settlements in the elevation range of 3000m to 4500m. Conversely, in the per-hibernation phase, Himalayan brown bear tends to avoid high-altitude areas with limited vegetation, opting for areas with available vegetative materials. Notably, habitat use was concentrated in the elevation range of 2800m to 3800m closer to the human settlements in comparison to summer. Regardless of the season, the Himalayan brown bear utilizes areas near roads, emphasizing the availability of anthropogenic food resources.Item Factors Influencing Small Carnivore Community Structure in Chandoli National Park Northern Western Ghats(Wildlife Institute of India, Dehradun, 2019) Lad, Himanshu C.; Gopi, G.V.The current study was conducted on small carnivores in Chandoli National Park of Sahyadri Tiger Reserve from December 2018 to April 2019. The main objectives was to understand drivers of spatial distribution and temporal variation amongst sympatric small carnivores present in the study area. This study provided information on local small carnivore distribution, dietary pattern of palm civet and time activity patterns of small carnivores in Chandoli national parkItem Evaluating the importance of scale in estimating tiger populations(Wildlife Institute of India, Dehradun, 2007) Contractor, Deep; Jhala, Y.V.; Qureshi, QamarPopulation estimation is one of the most important aspects of ecological studies as it plays a pivotal role in establishing priorities for species specific conservation and for delineating management practices. The tiger serves as a flagship and umbrella species for conservation efforts in the Indian subcontinent but, unfortunately wild tiger populations are on a drastic decline owing to factors like poaching, habitat fragmentation and degradation. In such a scenario reliable population estimates prove to be of vital importance. Camera trapping technique has been widely used for population estimation of cryptic carnivores including tigers. An attempt was made, through this study, to arrive at population and density estimates for Corbett NP through camera trapping technique following the mark recapture framework and answering some key questions regarding the importance of sampling effort required for arriving at such reliable estimates. A total of 7865 trap nights yielded 358 captures of 103 individual tigers within an intensively sampled area of (MCP) 420.86 km2. The estimated density of tiger was 16.01 (±1.6) per 100 km2 for RPSV, a new approach to calculate effectively sampled area. These estimates coincided with the estimates using full MMDM method. Also, the conventional method of using half MMDM seems to overestimate the density. The estimated sampling effort required for arriving at accurate and precise estimates of the true population in terms of sampling occasions amounted to 35 - 40 days. Evaluation of the influence of trap density revealed that high trap density (25 traps/km2 ca.) is required to get reliable estimates of population irrespective of the underlying population/density gradient.Item Evaluating Tiger (Panthera tigris) Population Estimation Approches in a High Density Area in Kanha Tiger Reserve(Wildlife Institute of India, Dehradun, 2005) Sharma, Rishi Kumar; Jhala, Y.V.Reliable estimates of status and population trends are critical for the conservation of large terrestrial carnivores as they play an important role in evaluating effectiveness of conservation efforts and also provide benchmark data for future management decisions. Camera trapping technique have been widely used for population estimation of cryptic carnivores including tigers, but the issues regarding sampling design and effort required to effectively sample an area have been paid less attention. An attempt was made to deal with these issues in the present study. The use of intensive search effort for tiger density estimation was also evaluated. Over a 30- day survey period, 33 camera trap sites were sampled in Kanha meadows of the Kanha Tiger Reserve. A total sampling effort of 330 trap nights yielded 39 photocaptures of 12 individual tigers over 10 sampling occasions that effectively covered a 111-km2 area. The model M(o) fitted the capture history data well. The estimated capture probability/sample, p-hat = 0.22, resulted in an estimated population size and standard error (N(SE TV)) of 13 (1.19), and a density (D(SE Z))) of 11.71 (1.74)7100 km2. Camera spacing was found to considerably influence the population estimation. An increase in camera spacing from 1.5 to 2.5 km resulted in a loss of 35% (n=7) of photo captures which consequently decreased the precision of the estimates, though accuracy was not affected. A reduction in the trapping effort in terms of reduced trap nights resulted in lower level of precision though the accuracy of estimates was not affected. Increase in the camera spacing from 1 to 2 km with a decrease in the number of sampling occasions (six) resulted in the loss of 42% of photo captures (n=12) and loss of 25% of individual tigers (Mz+/=9) thus underestimating the true tiger population by 16% ((N(SE N)) being 10(1.84) The data also suggests that the photo-captures are not likely to generate abundance index for species other than tigers, since the cameras are placed to maximize tiger captures in space and time. My results suggest that a thorough reconnaissance survey is of utmost importance for camera trapping studies as it can help to maximize the capture probability of tigers and circumvent the sampling problems. The different statistical estimator’s viz. capture-recapture, jackknife and bootstrap did not show significant differences in the population estimation. Bootstrap estimator performed better than jackknife in terms of greater precision. The differences between the density estimates generated by “camera trapping” (D=l 1.71/100 km2, S.E.=1.74) and “intensive search effort” (0=12.74/100 km2, S.E.=2.27) for tigers were not significantly different. Our results suggest that “intensive search effort” for tigers if used within capture-recapture framework can be used to arrive at reliable population estimation