The global distribution of leaf chlorophyll content
2020
Croft, H. | Chen, J.M. | Wang, R. | Mo, G. | Luo, S. | Luo, X. | He, L. | Gonsamo, A. | Arabian, J. | Zhang, Y. | Simic-Milas, A. | Noland, T.L. | He, Y. | Homolová, L. | Malenovský, Z. | Yi, Q. | Beringer, J. | Amiri, R. | Hutley, L. | Arellano, P. | Stahl, Clement | Bonal, Damien | University of Toronto | University of Sheffield [Sheffield] | Chinese Academy of Sciences [Beijing] (CAS) | Lawrence Berkeley National Laboratory [Berkeley] (LBNL) | McMaster University [Hamilton, Ontario] | WWF-Canada | Delta State University | Bowling Green State University (BGSU) | Ontario Forest Research Institute ; Ontario Ministry of Natural Resources and Forestry | University of Toronto at Mississauga | Global Change Research Centre (CzechGlobe) | University of Tasmania [Hobart] (UTAS) | Xinjiang Institute of Ecology and Geography [Urumqi] (XIEG) ; Chinese Academy of Sciences [Beijing] (CAS) | The University of Western Australia (UWA) | Monash University [Clayton] | Charles Darwin University [Australia] | Yachay Tech University | Ecologie des forêts de Guyane (UMR ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | SILVA (SILVA) ; AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
International audience
Mostrar más [+] Menos [-]Inglés. Leaf chlorophyll is central to the exchange of carbon, water and energy between the biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper presents the first spatially-continuous view of terrestrial leaf chlorophyll content (Chl(Leaf)) at the global scale. Weekly maps of Chl(Leaf) were produced from ENVISAT MERIS full resolution (300 m) satellite data using a two-stage physically-based radiative transfer modelling approach. Firstly, leaf-level reflectance was derived from top-of-canopy satellite reflectance observations using 4-Scale and SAIL canopy radiative transfer models for woody and non-woody vegetation, respectively. Secondly, the modelled leaf-level reflectance was input into the PROSPECT leaf-level radiative transfer model to derive Chl(Leaf). The Chl(Leaf) retrieval algorithm was validated using measured Chi(Leaf) data from 248 sample measurements at 28 field locations, and covering six plant functional types (PFTs). Modelled results show strong relationships with field measurements, particularly for deciduous broadleaf forests (R-2 = 0.67; RMSE = 9.25 mu g cm(-2); p < 0.001), croplands (R-2 = 0.41; RMSE = 13.18 mu g cm(-2); p < 0.001) and evergreen needleleaf forests (R-2 = 0.47; RMSE = 10.63 mu g cm(-2); p < 0.001). When the modelled results from all PFTs were considered together, the overall relationship with measured Chl(Leaf )remained good (R-2 = 0.47, RMSE = 10.79 mu g cm(-2); p < 0.001). This result is an improvement on the relationship between measured Chl(Leaf) and a commonly used chlorophyll-sensitive spectral vegetation index; the MERIS Terrestrial Chlorophyll Index (MTCI; R-2 = 0.27, p < 0.001). The global maps show large temporal and spatial variability in Chl(Leaf), with evergreen broadleaf forests presenting the highest leaf chlorophyll values, with global annual median values of 54.4 mu g cm(-2). Distinct seasonal Chl(Leaf) phenologies are also visible, particularly in deciduous plant forms, associated with budburst and crop growth, and leaf senescence. It is anticipated that this global Chl(Leaf) product will make an important step towards the explicit consideration of leaf-level biochemistry in terrestrial water, energy and carbon cycle modelling.
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