Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands

Homolová, Lucie; Schaepman, Michael E; Lamarque, Pénélope; Clevers, Jan G P W; de Bello, Francesco; Thuiller, Wilfried; Lavorel, Sandra

doi:10.1890/ES13-00393.1

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Homolová, L., Schaepman, M. E., Lamarque, P., Clevers, J. G. P. W., de Bello, F., Thuiller, W., & Lavorel, S. (2014). Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands. Ecosphere, 5(8), art100. https://doi.org/10.1890/ES13-00393.1

Abstract

There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and remote sensing (RS) can provide valuable data to meet this challenge. In this study, located in the Central French Alps, we used high spatial and spectral resolution RS images to assess multiple ES based on underpinning ecosystem properties (EP) of subalpine grasslands. We estimated five EP (green biomass, litter mass, crude protein content, species diversity and soil carbon content) from RS data using empirical RS methods and maps of E