气候变化领域集成服务门户(CCPortal): Sun–induced fluorescence heterogeneity as a measure of functional diversity

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DOI	10.1016/j.rse.2020.111934
	Sun–induced fluorescence heterogeneity as a measure of functional diversity
	Tagliabue G.; Panigada C.; Celesti M.; Cogliati S.; Colombo R.; Migliavacca M.; Rascher U.; Rocchini D.; Schüttemeyer D.; Rossini M.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	Plant functional diversity, defined as the range of plant chemical, physiological and structural properties within plants, is a key component of biodiversity which controls the ecosystem functioning and stability. Monitoring its variations across space and over time is critical in ecological studies. So far, several reflectance-based metrics have been tested to achieve this objective, yielding different degrees of success. Our work aimed at exploring the potential of a novel metric based on far-red sun-induced chlorophyll fluorescence (F760) to map the functional diversity of terrestrial ecosystems. This was achieved exploiting high-resolution images collected over a mixed forest ecosystem with the HyPlant sensor, deployed as an airborne demonstrator of the forthcoming ESA-FLEX satellite. A reference functional diversity map was obtained applying the Rao's Q entropy metric on principal components calculated on key plant functional trait maps retrieved from the hyperspectral reflectance cube. Based on the spectral variation hypothesis, which states that the biodiversity signal is encoded in the spectral heterogeneity, two moving window-based approaches were tested to estimate the functional diversity from continuous spectral data: i) the Rao's Q entropy metric calculated on the normalized difference vegetation index (NDVI) and ii) the coefficient of variation (CV) calculated on hyperspectral reflectance. Finally, a third moving window approach was used to estimate the functional diversity based on F760 heterogeneity quantified through the calculation of the Rao's Q entropy metric. Results showed a strong underestimation of the functional diversity using the Rao's Q index based on NDVI and the CV of reflectance. In both cases, a weak correlation was found against the reference functional diversity map (r2 = 0.05, p < .001 and r2 = 0.04, p < .001, respectively). Conversely, the Rao's Q index calculated on F760 revealed similar patterns as the ones observed in the reference map and a better correlation (r2 = 0.5, p < .001). This corroborates the potential of far-red F for assessing the functional diversity of terrestrial ecosystems, opening unprecedented perspectives for biodiversity monitoring across different spatial and temporal scales. © 2020 The Authors
英文关键词	Biodiversity; Far-red sun-induced chlorophyll fluorescence; Forest ecosystems; Functional diversity; HyPlant; Imaging spectroscopy; Remote sensing
语种	英语
scopus关键词	Biodiversity; Chemical stability; Entropy; Fluorescence; Reflection; Biodiversity monitoring; Chlorophyll fluorescence; Coefficient of variation; Hyperspectral reflectance; Normalized difference vegetation index; Plant functional diversities; Spatial and temporal scale; Terrestrial ecosystems; Ecosystems; canopy reflectance; chlorophyll; entropy; fluorescence; forest ecosystem; functional role; image resolution; mixed forest; NDVI; satellite imagery
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179250
作者单位	Remote Sensing of Environmental Dynamics Laboratory, Department of Environmental and Earth Sciences, University of Milano - Bicocca, Milano, Italy; Max Planck Institute for Biogeochemistry, Jena, Germany; Institute of Bio- and Geosciences, Plant Sciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, Germany; European Space Agency, European Space Research and Technology Centre (ESTEC), Noordwijk, Netherlands; Alma Mater Studiorum University of Bologna, Department of Biological, Geological and Environmental Sciences, Bologna, Italy; Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Department of Applied Geoinformatics and Spatial Planning, Prague, Czech Republic
推荐引用方式 GB/T 7714	Tagliabue G.,Panigada C.,Celesti M.,等. Sun–induced fluorescence heterogeneity as a measure of functional diversity[J],2020,247.
APA	Tagliabue G..,Panigada C..,Celesti M..,Cogliati S..,Colombo R..,...&Rossini M..(2020).Sun–induced fluorescence heterogeneity as a measure of functional diversity.Remote Sensing of Environment,247.
MLA	Tagliabue G.,et al."Sun–induced fluorescence heterogeneity as a measure of functional diversity".Remote Sensing of Environment 247(2020).