Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Journal Articles Biology Letters Year : 2014

Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy

Abstract

Remote sensing using airborne imaging spectroscopy(AIS)is known to retrieve fundamental optical properties of ecosystems. However, the value of these properties for predicting plant species distribution remains unclear. Here, we assess whether such data can add value to topographic variables for predicting plant distributions in French and Swiss alpine grasslands. We fitted statistical models with high spectral and spatial resolution reflectance data and tested four optical indices sensitive to leaf chlorophyll content, leaf water content and leaf area index. We found moderate added-value of AIS datafor predicting alpine plant species distribution. Contrary to expectations, differences between species distribution models (SDMs) were not linked to their local abundance or phylogenetic/functional similarity. Moreover, spectral signatures of species were found to be partly site-specific. We discuss current limits of AIS-based SDMs, highlighting issues of scale and informational content of AIS data.
Fichier principal
Vignette du fichier
Modelling plant species distribution in alpine grasslands using a.pdf (4.99 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-02635230 , version 1 (18-01-2024)

Identifiers

Cite

Julien Pottier, Zbynek Malenovsky, Achilleas Psomas, Lucie Homolova, Michael E. Schaepman, et al.. Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy. Biology Letters, 2014, 10, ⟨10.1098/rsbl.2014.0347⟩. ⟨hal-02635230⟩
25 View
16 Download

Altmetric

Share

More