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Deciphering plant richness using satellite remote sensing: a study from three biodiversity hotspots

OAR@ICRISAT

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Relation http://oar.icrisat.org/11238/
https://doi.org/10.1007/s10531-019-01761-4
10.1007/s10531-019-01761-4
 
Title Deciphering plant richness using satellite remote sensing: a study from three biodiversity hotspots
 
Creator Chitale, V S
Behera, M D
Roy, P S
 
Subject Biodiversity
Remote Sensing
 
Description The ‘spectral variation hypothesis (SVH)’ assumes spectral variability as a result of variation in species richness. In the present study, we explore the potential of satellite datasets in identifying the patterns in species richness in part of three global biodiversity hotspots falling in India viz., Himalaya, Indo-Burma, and Western Ghats. We used generalized linear models to correlate remote sensing based vegetation indices (VIs) and physiographic indices (PIs) with plant richness calculated using 1264, 1114, and 1004 field plots across 21 different forest vegetation classes in Himalaya, Indo-Burma, and Western Ghats respectively. Three different vegetation indices ranked highest in explaining the variance in plant richness in the three hotspots. The variance in species richness explained by models based on only VIs was highest (69%, P 
 
Publisher Springer
 
Date 2019-07
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11238/1/Deciphering%20plant%20richness%20using%20satellite%20remote%20sensing.pdf
Chitale, V S and Behera, M D and Roy, P S (2019) Deciphering plant richness using satellite remote sensing: a study from three biodiversity hotspots. Biodiversity and Conservation (TSI), 28 (8-9). pp. 2183-2196. ISSN 0960-3115