A framework for near-real time monitoring of diversity patterns based on indirect remote sensing, with an application in the Brazilian Atlantic rainforest

PeerJ

Ana C. Carnaval¹  Andrea Paz¹  Thiago S. Silva² 

[1] Department of Biology, City College of New York, New York, NY, United States of America;Instituto de Geociências e Ciências Exatas, Departamento de Geografia, Ecosystem Dynamics Observatory, Universidade Estadual Paulista, Rio Claro, São Paulo, Brazil;

关键词: Biodiversity;    Prediction;    Monitoring;    Richness;    Phylogenetic diversity;   

DOI  :  10.7717/peerj.13534

来源: DOAJ

【 摘 要 】

Monitoring biodiversity change is key to effective conservation policy. While it is difficult to establish in situ biodiversity monitoring programs at broad geographical scales, remote sensing advances allow for near-real time Earth observations that may help with this goal. We combine periodical and freely available remote sensing information describing temperature and precipitation with curated biological information from several groups of animals and plants in the Brazilian Atlantic rainforest to design an indirect remote sensing framework that monitors potential loss and gain of biodiversity in near-real time. Using data from biological collections and information from repeated field inventories, we demonstrate that this framework has the potential to accurately predict trends of biodiversity change for both taxonomic and phylogenetic diversity. The framework identifies areas of potential diversity loss more accurately than areas of species gain, and performs best when applied to broadly distributed groups of animals and plants.

【 授权许可】

Unknown