Understanding Multi‐Scale and Multi‐Species Habitat Selection by Mammals in the Eastern Himalayan Biodiversity Hotspot

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Human‐induced habitat loss and fragmentation threaten biodiversity in the Eastern Himalayas, a crucial part of Indo‐Myanmar hotspot. This study examines distribution 10 mammal species Arunachal Pradesh using multi‐scale ensemble modeling approach, integrating Generalized Linear Models (GLM), Additive (GAM), MaxEnt to assess suitability. By analyzing 57 environmental predictor variables across multiple spatial scales, we found that elevation is key determinant for carnivores such as dhole Asiatic golden cat, while herbivores like northern red muntjac mainland serow prefer broadleaf forests. Species distributions showed distinct patterns, with most concentrated south, except widely distributed yellow‐throated marten. Dhole leopard cat preferred elevated forests, favored mixed Herbivores were at higher elevations, whereas Indian wild pig grasslands degraded habitats near human settlements. While protected areas (PAs) exhibited richness, significant suitable also exist outside these regions, underscoring need landscape‐level conservation strategies. Precipitation seasonality population density emerged predictors, highlighting influence climatic anthropogenic factors on Our findings emphasize necessity conserving large, connected landscapes mitigate human‐induced pressures climate change impacts species. combining ecological insights, this provides framework prioritizing efforts. Future research should expand data collection broader temporal geographic scales incorporate projections anticipate shifts. These are critical guiding effective planning management ecologically rich yet vulnerable region.

Language: Английский

A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103168 - 103168

Published: April 1, 2025

Language: Английский

Predicting potential biomass production by geospatial modelling: The case study of citrus in a Mediterranean area

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102848 - 102848

Published: Oct. 9, 2024

Language: Английский