Article

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

Details

Citation

Paz A, Silva TS & Carnaval AC (2022) A framework for near-real time monitoring of diversity patterns based on indirect remote sensing, with an application in the Brazilian Atlantic rainforest. PeerJ, 10, Art. No.: e13534. https://doi.org/10.7717/peerj.13534

Abstract
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.

Keywords
Biodiversity; Prediction; Monitoring; Richness; Phylogenetic diversity

Journal
PeerJ: Volume 10

StatusPublished
Publication date31/12/2022
Publication date online30/06/2022
Date accepted by journal12/05/2022
URLhttp://hdl.handle.net/1893/34509
eISSN2167-8359

People (1)

People

Dr Thiago Silva
Dr Thiago Silva

Lecturer Environmental Informatics, Biological and Environmental Sciences