Theses and Dissertations

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    Abundance, distribution & pattern of human impact on river Dolphin (Platanista gangetica gangetica).
    (Wildlife Institute of India, Dehradun, 2018) Deori, Sunny; Qureshi, Qamar
    This study took place in a tributary of river Brahmaputra named Kulsi which originates from the Meghalaya enters Assam at Umkiam where it is known as Kulsi and finally discharges at Brahmaputra at Nagarbera, Assam. It is a highly populated riverscape. According to 2011 census data, the riverscape has 55972.88 hectares of cultivable land which is solely dependent for irrigation on natural sources (Rainfall and Rivers). Also, the river is divided into 7 River fishery under Revenue department of Assam. About 2500 commercial fishermen are registered under the fisheries of Kulsi River and 1,29,095 cultivators. Apart from this fine quality sand is a boon to the people of Kulsi floodplain. More than 5000 families were dependent on this business. The recent increase in construction business in Guwahati metropolitan and the nearby blooming towns is raising the earning bar of the people of Kulsi River. My study aimed at the following objectives: 1. Estimating the abundance & patterns of dolphin distribution across Kulsi River. 2. Estimating the effects of different human activities which can possibly affect the habitat and distribution pattern of dolphins in Kulsi River (special preferences to existing commercial fisheries, sand mining, & irrigation). 3. Socio- economic status of fishermen community, sand mining community and farmers and their attitudes towards dolphin and wider ecosystem conservation. 4. Examine suitable measures to minimize/prevent the harmfulness of these fishing gears and practices in the commercial fisheries of Kulsi.
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    Evaluating methods to monitor tiger abundance and its prey in Indian Sunderbans
    (wildlife Institute of India, Dehradun, 2019) Roy, Manjari; Sankar, K.; Qureshi, Qamar
    This study conducted to test and evaluate different methods for estimating tiger and its prey population in Sundarban that can be adopted as part of a monitoring programme. For this study techniques were applied for the standard spatially explicit capture-recapture, tailored according to the local conditions to estimate tiger density in Sundarban for three years. Tiger densities were estimated at 4.08 (SE 1.51) in 2010, 5.81 (SE 1.24) in 2012 and 3.15 (SE 0.88) tigers/100 km2 in 2014. The tiger abundance for my camera trapped study area generated through conventional mark-recapture was 11 (SE 2), 24 (SE 3) and 16 (SE 3) tigers for 2010, 2012, 2014 respectively. Ungulates occupy a primary position in the diet of tigers and a monitoring protocol for tiger should inherently include a component of prey base estimation. Boat transect based distance sampling to generate density estimates for four years.
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    Ecology of sympatric small carnivores in Mudumalai Tiger Reserve, Tamil Nadu
    (Wildlife Institute of India, Dehradun, 2013) Kale, Riddhika; Sarkar, K.; Qureshi, Qamar
    This study aimed to examine the abundance and occupancy of small carnivores with the application of photographic captures using camera traps and diet composition of small carnivores through faecal analysis, investigate seasonal species-habitat relationships from microhabitat (non-spatial) and remotely sensed features (spatial) to understand how these variables govern their occurrence pattern and predict the distribution of small carnivores in Mudumalai Tiger Reserve, Western Ghats. The study was conducted from 2009-2011 in Mudumalai Tiger Reserve (11°32' 11°43'N; 76°22'-76°45'E), Western Ghats. This study will critically improve our state of knowledge to protect lesser carnivores and aid the development of theory on their social structure, behavior and habitat preferences.Study species include jungle cat (Felis chaus), leopard cat (Prionailurus bengalensis), rusty spotted cat (Prionailurus rubiginosus), common palm civet (Paradoxurus hermaphroditus), small Indian civet (Viverricula indica), brown palm civet (Paradoxurus jerdoni), grey mongoose (Herpestes erdwardsii), ruddy mongoose (Herpestes smithii) and stripe-necked mongoose (Herpestes vitticollis). The objectives of this study area as follows:- 1. To determine the abundance and occupancy of small carnivores in Mudumalai Tiger Reserve. 2. To study the dietary pattern of small carnivores. 3. To determine spatial and non-spatial variables governing the occupancy of small carnivores and 4. To predict the distribution pattern of small carnivores through habitat suitability modeling in Mudumalai Tiger Reserve.
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    Ecology of medium and small sized carnivores in Sariska Tiger Reserve, Rajasthan
    (Wildlife Institute of India, Dehradun, 2011) Gupta, Shilpi; Sankar, K.; Qureshi, Qamar
    To assess wildlife population trends, scientifically based monitoring programs must be carried out. A new generation of camera traps and the use of well developed capture-recapture models have led to an increase in the use of remote surveying and monitoring methodologies for nocturnal species. Population estimates can be done for individually identifiable cryptic nocturnal species through camera trap. The study was carried out in Sariska Tiger Reserve (STR), western Rajasthan, India, (79° 17’ to 76°34’N, 27° 5’ to 27° 33’ E) from November 2007 to June 2009. The objectives of study are (1) To estimate the abundance of medium and small sized carnivores such as striped hyena, jackal, jungle cat, civets and mongoose. (2) To study the prey availability and food habits of medium and small sized carnivores and To assess the habitat suitability for these carnivores. In this study, both capture - recapture method and Royle -Nichols (2003) approach was applied to photographic capture trap data to estimate density and abundance of nocturnal cryptic species. The results of this study presented both numerically and also in the form of habitat suitability maps for all the study species in the study area. These finding have potential to develop basis for managing areas for these medium and small sized carnivores in Sariska and other similar habitat in semi arid zone.
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    Comparative Analysis of Abundance Estimation Methods for Ungulates Along with their Spatio-Temporal Interaction and Habitat use in Pakke Tiger Reserve, Anunachal Pradesh
    (Wildlife Institute of India, Dehradun, 2021) Singh, Tarun; Kolipakam, Vishnupriya; Qureshi, Qamar; Sathyakumar, S.
    Abundance estimation and habitat utilization of species are critical for the conservation of any species. The forests of North-Eastern India are challenging due to the low abundance of ungulates, dense undergrowth, and logistic feasibility. In this study, we attempt to use camera trap-based methods (distance sampling and random encounter model) to estimate the abundance and habitat use of five ungulate species in the Pakke Tiger Reserve of western Arunachal Pradesh. This study was conducted from February 2021 to May 2021.This study provides crucial information on abundances and habitat use, which can be used for focussed conservation efforts for ungulates occurring in low densities.
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    Abundance, Habitat Relationships and Behavior of the Semi-Fossorial Indian Desert Jird, Meriones hurriancae, in Kachchh, Gujarat
    (Wildlife Institute of India, Dehradun, 2011) Ramesh, Divya; Jhala, Y.V.; Qureshi, Qamar
    Population sizes, habitat relationships and behaviour are among basic ecological aspects pivotal to demystifying a species and its place in the ecosystem. Numerous in species and number, desert rodents offer immense scope for such investigations. The Indian desert jird, Meriones hurrianae, though common, is remarkably little known. This study, conducted in Kachchh, Gujarat, estimates population sizes, examines factors in the habitat likely to influence their occurrence, and elucidates the activity pattern and time budget across 2 land use types, agricultural and natural areas, during winter (December February) and summer (March-May). Animals were caught in 9 colonies using Sherman traps and population estimated under closed population Capture-Mark-Recapture framework in Program MARK, using individual covariates (age class, gender, body weight, site). Colony parameters (length, width, number of holes) were regressed against known Mark-Recapture (MR) population estimates to develop predictive models for estimating population size from indices. Population sizes varied from 2 to 10 individuals. Number of holes in a colony provided robust estimates of the number of individuals in that colony (N=16, R2=0.96, t=18.19, p