Modelling plant species distribution in alpine grasslands using airborne imaging spectroscopy

Abstract

Remote sensing using airborne imaging spectroscopy (AIS) is knownto 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 ofAIS data for 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. © 2014 The Author(s) Published by the Royal Society. All rights reserved.