Theses and Dissertations

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    A geospatial framework to assess ecological connectivity & their persistence for Central India Landscape.
    (Wildlife Institute of India, Dehradun, 2019) Saini, Swati; Qureshi, Qamar
    The study explored the occupancy probability for carnivores in 100 sq km grids and at 25 sq.km for herbivore to surrogate, their habitat suitability. These models were further used to model corridors between protected areas using Circuit theory least cost pathway analysis and estimated the changes in land use land cover in and around the identified corridors using the time series and change detection technique. The region of central India comprising five states viz. Madhya Pradesh, Maharashtra, Chhattisgarh, Odisha and Jharkhand has been taken up as study area. . The research work was carried out with three objectives: 1. Mapping Ecological connectivity between source populations of representative species of central Indian Landscape. 2. Assessment of spatio-temporal land use /land cover changes using time series & predictive change modelling in and around corridor habitats of the central Indian Landscape. 3. To evaluate the macro drivers of change across major linkages and attempt to model their persistence.
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    Landscape-level assessment of select group of pollinators and factors influencing their diversity and distribution in Kullu Valley, Himachal Pradesh.
    (Wildlife Institute of India, Dehradun, 2024) Khan, Sushmita; Uniyal, V.P.; Ramesh, K.
    Change detection analysis using satellite data in a remote sensing platform is a crucial tool for understanding shifts in land use and land cover (LULC) over time, allowing for the identification of environmental and human-induced changes across various spatial and temporal scales. This method aids in assessing the impact of factors like urban expansion, agricultural practices, deforestation, and climate change on biodiversity and ecosystems. Climate change, particularly in vulnerable regions like the Himalayas, poses significant threats to ecosystem services and biodiversity. This study explores the impact of LULC and climate change on pollinator diversity and distributional patterns in the Kullu and Tirthan valleys of Himachal Pradesh. By compiling a comprehensive list of entomofauna pollinators across various orchards in different landscape configurations, the research aims to emphasize the need of conserving pollinator species in this ecologically sensitive region. Additionally, the study predicts potential shifts in pollinator distribution under future climate scenarios, providing valuable insights for conservation strategies. Through systematic analysis, the research contributes to a deeper understanding of pollinator communities and their interactions within the mountain horticultural belt of the Indian Himalayan Region. Ultimately, the findings aim to inform targeted conservation efforts to preserve the rich biodiversity of pollinators in this area. The research focuses on two major valleys within the Kullu district, each presenting contrasting landscapes and ecological contexts. The Kullu valley, a 76 kms long stretch situated along the Beas river, is characterized by diverse land use patterns and heightened anthropogenic activity, particularly in horticulture and tourism. In contrast, the Tirthan valley, nestled along the Tirthan river for a 45 kms long stretch, is designated as a conservation area with minimal disturbance and dense forest cover. The study meticulously investigated pollinator diversity dynamics in the Kullu and Tirthan valleys. The study conducted in the Kullu Valley aimed to analyze land use changes over time using Landsat satellite imagery from 2000 and 2022. High-quality images with minimal cloud cover were obtained for both years, ensuring accurate analysis With the aforesaid aim in focus, I have tried to address the following three objectives in my thesis: Objective 1: To assess the change in landscape composition of the study area over time.• Objective 2: To assess the effect of change in landscape configuration and horticultural practices on pollinator communities (diversity and abundance) and their services. • Objective 3: To model the distribution of major pollinators of economic importance belonging to different groups (Hymenoptera, Lepidoptera, Coleoptera, Diptera) in the study area.