Ramesh Wilson

ORCID: 0000-0001-9957-2989
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About
Contact & Profiles
Research Areas
  • Species Distribution and Climate Change
  • Environmental Toxicology and Ecotoxicology
  • Ecology and Vegetation Dynamics Studies
  • Freshwater macroinvertebrate diversity and ecology
  • Geochemistry and Geologic Mapping
  • Isotope Analysis in Ecology
  • Land Use and Ecosystem Services
  • Coastal and Marine Management
  • Animal Ecology and Behavior Studies
  • Environmental Changes in China
  • Fish Ecology and Management Studies

University of Oxford
2024-2025

Queen Mary University of London
2021-2023

<title>Abstract</title> Saline lakes are hypersensitive to changes in their water balance and therefore show amplified responses climatic land-use catchment. However, despite the resulting, often dramatic ecological consequences, saline rank low on policy agendas as they assumed support few ecosystem services levels of biodiversity. Here, we challenge this view evaluate threatened species 84 distributed across globe. We found that harbour not only aquatic biota but also a diverse range...

10.21203/rs.3.rs-5835171/v1 preprint EN cc-by Research Square (Research Square) 2025-02-24

Conserving biodiversity often requires deciding which sites to prioritise for protection. Predicting the impact of habitat loss is a major challenge, however, since impacts can be distant from perturbation in both space and time. Here we study long-term mechanistic metacommunity model. We find that site area poor predictor long-term, regional-scale extinctions following localised perturbation. Knowledge compositional distinctness (average between-site Bray-Curtis dissimilarity) removed...

10.1371/journal.pcbi.1010804 article EN cc-by PLoS Computational Biology 2023-01-30

Abstract Conserving biodiversity often requires deciding which sites to prioritise for protection. Predicting the impact of habitat loss is a major challenge, however, since impacts can be distant from perturbation in both space and time. Here we study long-term mechanistic metacommunity model terms immediate extinctions secondary species losses. We find that biomass-at-site, closely related site area, poor predictor regional losses following removal. Knowledge compositional distinctness...

10.1101/2021.07.09.451808 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-07-10
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