Biology subjects

Sharief, A.

Publications and source records attributed to Sharief, A..

3 recordsLinked to original sources

bioRxiv2026

Searching for a New Home or Rare Dispersal? Habitat Suitability and Landscape Connectivity of the Tibetan Brown Bear across the Indian Cold Deserts and the Tibetan Plateau

Understanding habitat suitability and landscape connectivity is essential for conserving wide-ranging carnivores in climate-sensitive high-altitude mountain ecosystems. The first occurrence record of the Tibetan brown bear (Ursus arctos pruinosus) from the Changthang region of Ladakh, India, has raised questions about whether this individual represents an isolated dispersal event or reflects functional connectivity with source populations on the Tibetan Plateau. To evaluate potential habitat suitability and transboundary connectivity, we compiled species occurrence records and associated environmental predictors and developed an ensemble species distribution model using biomod2. We then assessed landscape connectivity using circuit theory implemented in Circuitscape to identify potential ecological corridors. Our models indicate that approximately 1,011,818 km{superscript 2} (21.34%) of the combined Ladakh (India) and the Tibetan Plateau landscape is currently suitable for the species, of which only [~]207,000 km{superscript 2} represents highly suitable habitat. Annual precipitation, precipitation of the wettest month, and precipitation of the warmest quarter were the most influential predictors of habitat suitability. Connectivity analysis identified potential corridors linking the eastern Changthang region of Ladakh with suitable habitat on the Tibetan Plateau, suggesting plausible transboundary ecological connectivity. These results indicate that the recent record from Changthang is more likely driven by landscape-scale functional connectivity than by an isolated dispersal event. Although the mapped corridors represent probable connectivity pathways rather than confirmed movement routes, this study provides the first spatially explicit assessment of habitat suitability and potential transboundary connectivity for the Tibetan brown bear across the Ladakh and Tibetan Plateau landscape.

ecology↗

bioRxiv2023

Beyond Traditional Methods: Innovative Integration of LISS IV and Sentinel 2A Imagery for Unparalleled Insight into Himalayan Ibex Habitat Suitability

Despite advancements in remote sensing, satellite imagery is underutilized in conservation research. Multispectral data from various sensors have great potential for mapping landscapes, but distinct spectral and spatial resolution capabilities are crucial for accurately classifying wildlife habitats. Our study aimed to develop a technique for precisely discerning habitat categories for the Himalayan Ibex (Capra sibirica) using different satellite imagery. To address both spectral and spatial challenges, we utilized LISS IV and Sentinel 2A data and integrated the LISS IV data with Sentinel 2A data along with their corresponding geometric information. Employing multiple supervised classification algorithms, we found the Random Forest (RF) algorithm to outperform others. The integrated (LISS IV-Sentinel 2A) classified image achieved the highest accuracy, with an overall accuracy of 86.17% and a Kappa coefficient of 0.84. To map the suitable habitat of the Ibex, we conducted ensemble modeling using the Land Cover Land Use (LCLU) of all three image types (LISS IV, Sentinel 2A, Integrated) and other predictors such as topographical, soil type, vegetation, and water radiometric indices. The integrated model provided the most accurate prediction of suitable habitat for the Ibex, surpassing the other two LCLU classes derived from individual images. The Soil Adjusted Vegetation Index (SAVI) and elevation were identified as crucial factors in identifying suitable habitats These findings hold valuable implications for the development of effective conservation strategies, as accurate classification schemes enable the identification of vital landscape elements. By precisely classifying LULC satellite images and identifying crucial habitats for the Ibex, this pilot study provides a new and valuable strategy for conservation planning. It enhances our ability to preserve and protect the habitat of wildlife species in the mountain ecosystem of the Himalayas.

ecology↗

bioRxiv2021

Understanding distribution and occupancy of Himalayan Monal in Uttarkashi district, Uttarakhand

The Himalayan Monal is a conservation priority species in its entire distribution range. Its population is declining in many areas due to various anthropogenic threats. The information on species distribution and its abundance is lacking in many areas which are vital for conservation and management planning. Hence, through the present study, we have assessed the abundance and occupancy of Himalayan monal in Uttarkashi district (Uttarakhand). We used camera traps and conventional sign surveys for documenting the species during 2018-2019. We installed a total of 69 camera traps (2819 trap nights) and surveyed 54 trails (650 km) which represents entire habitat and topographic variability of the landscape. The occupancy and detection probability was modelled using the habitat variables. The top model showed that occupancy probability of Himalayan monal was positively influenced by the slope ({beta} =27.52 {+/-}16.25) and negatively influenced by Reserve Forest (RF) ({beta}= -8.14 SE {+/-} 4.99). The observed naive occupancy of Himalayan Monal was 0.69 in the study area, which was slightly lower than the estimated occupancy. However, in the null model, the site occupancy estimated was found to be 0.82{+/-}0.08 and with detection probability 0.23{+/-}0.03. The overall abundance of monal was estimated about 171.58 {+/-}10.2 in the study area with an average density of 0.62/ km2. The activity pattern analysis indicates that monal remains very active between 6.00 hrs -12.00 hrs and relatively less active during mid-day when humans are most active 11.30 hrs-16.30 hrs. The present study is a first attempt to estimate occupancy and abundance using camera traps as well as sign survey for the species primarily from non-Protected Area (PA). We found that Himalayan monal is abundant outside the PAs, which is a good indication for its long-term viability and also identified areas for conservation and management prioritization in Uttarkashi.

ecology↗