From local spectral species to global spectral communities: a benchmark for ecosystem diversity estimate by remote sensing release_xokfc3qso5e7dohtgj7s5t6z6e

by Duccio Rocchini, Nicole Salvatori, Carl Beierkuhnlein, Alessandro Chiarucci, Florian de Boissieu, Michael Foerster, Carol X. Garzon-Lopez, Thomas W. Gillespie, Heidi C. Hauffe, Kate S. He, Birgit Kleinschmit, Jonathan Lenoir (+8 others)

Released as a post by Cold Spring Harbor Laboratory.

2020  

Abstract

In the light of unprecedented change in global biodiversity, real-time and accurate ecosystem and biodiversity assessments are becoming increasingly essential. Nevertheless, estimation of biodiversity using ecological field data can be difficult for several reasons. For instance, for very large areas, it is challenging to collect data that provide reliable information. Some of these restrictions in Earth observation can be avoided through the use of remote sensing approaches. Various studies have estimated biodiversity on the basis of the Spectral Variation Hypothesis (SVH). According to this hypothesis, spectral heterogeneity over the different pixel units of a spatial grid reflects a higher niche heterogeneity, allowing more organisms to coexist. Recently, the spectral species concept has been derived, following the consideration that spectral heterogeneity at a landscape scale corresponds to a combination of subspaces sharing a similar spectral signature. With the use of high resolution remote sensing data, on a local scale, these subspaces can be identified as separate spectral entities, the so called "spectral species". Our approach extends this concept over wide spatial extents and to a higher level of biological organization. We applied this method to MODIS imagery data across Europe. Obviously, in this case, a spectral species identified by MODIS is not associated to a single plant species in the field but rather to a species assemblage, habitat, or ecosystem. Based on such spectral information, we propose a straightforward method to derive alpha- (local relative abundance and richness of spectral species) and beta-diversity (turnover of spectral species) maps over wide geographical areas.
In application/xml+jats format

Archived Files and Locations

application/pdf  5.7 MB
file_2ximhczykrfbvl6sdsgmblwiri
www.biorxiv.org (repository)
web.archive.org (webarchive)
application/pdf  5.8 MB
file_i5imhpcpsreenfr4ipyhwpps44
hal.inrae.fr (web)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  post
Stage   unknown
Date   2020-11-05
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 40b3d7dc-459f-414f-a72a-812ec050543e
API URL: JSON