气候变化领域集成服务门户(CCPortal): senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland

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DOI	10.1016/j.rse.2021.112352
	senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland
	Pacheco-Labrador J.; El-Madany T.S.; van der Tol C.; Martin M.P.; Gonzalez-Cascon R.; Perez-Priego O.; Guan J.; Moreno G.; Carrara A.; Reichstein M.; Migliavacca M.
发表日期	2021
ISSN	00344257
卷号	257
英文摘要	The coupling of radiative transfer, energy balance, and photosynthesis models has brought new opportunities to characterize vegetation functional properties from space. However, these models do not accurately represent processes in ecosystems characterized by mixtures of green vegetation and senescent plant material (SPM), in particular grasslands. These inaccuracies limit the retrieval of vegetation biophysical and functional properties. Green and senesced plants feature contrasting spectral properties and carry out different functions that current coupled models do not represent separately. Besides, senescent pigments' absorption features change as SPM decomposes, and neither is this process well parameterized in radiative transfer models. This manuscript aims at overcoming these limitations. On the one hand, we have developed senSCOPE, a version of the Soil-Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) that separately represents light interaction and physiology of green and senesced leaves. On the other, we have characterized new specific absorption coefficients of senescent pigments (Ks) from optical measurements of SPM from a Mediterranean grassland. Sensitivity analyses revealed that compared to SCOPE, senSCOPE 1) predicts variables that respond more linearly to the faction of green leaf area; and 2) keeps high levels of absorbed photosynthetically active radiation in the green leaves, which leads to significant differences in leaf photosynthesis, non-photochemical quenching, and transpiration. Moreover, we compared SCOPE vs. senSCOPE's capability to provide estimates of functional and biophysical parameters of vegetation. We assimilated different combinations of reflectance factors (R), chlorophyll sun-induced fluorescence radiance in the O2-A band (F760), gross primary production (GPP), and thermal radiance (Lt) measured in a Mediterranean grassland. Besides, we compared the role of three different sets of Ks coefficients in the inversion of senSCOPE, two estimated from SPM. The performance of the inversions was assessed using field data and a pattern-oriented model evaluation approach. Unlike SCOPE, senSCOPE provided unbiased estimates of chlorophyll content (Cab) during the dry season. The use of SPM-specific Ks improved the representation of R in the near-infrared wavelengths; and, consequently, the estimation of leaf area index (LAI). Compared with field LAI, the coefficient of determination R2 increased from ~0.4 to ~0.6, depending on the inversion constraints. Compared with SCOPE, the new model and coefficients together reduced the root mean squared error between observed and modeled R (~40%), F760 (~30%), and GPP (~5%). Both models failed to represent Lt; in this case, senSCOPE featured larger uncertainties. The modeling approach we propose improves the simulation and retrieval of vegetation properties and function in grasslands. Further work is needed to test the applicability of senSCOPE in different ecosystems, improve the simulation of the thermal spectral domain, and better characterize the optical parameters of SPM. To do so, new databases of SPM optical and biophysical properties should be produced. © 2021 Elsevier Inc.
英文关键词	Chlorophyll; GPP; Grassland; Hyperspectral; Photosynthesis; Plant functional traits; Radiative transfer; SCOPE; Senesced leaves; senSCOPE; Sun-induced fluorescence
语种	英语
scopus关键词	Biophysics; Chlorophyll; Ecosystems; Forestry; Function evaluation; Infrared devices; Mean square error; Optical data processing; Photosynthesis; Radiative transfer; Sensitivity analysis; Soil testing; Vegetation; Coefficient of determination; Gross primary production; Near-infrared wavelength; Non-photochemical quenching; Pattern-oriented modeling; Photosynthetically active radiation; Root mean squared errors; Specific absorption coefficients; Parameter estimation; grassland; leaf area; leaf area index; modeling; net primary production; photosynthetically active radiation; plant; solar radiation; terrestrial ecosystem; vegetation cover; Mediterranean Region
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/178913
作者单位	Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, AE Enschede, 7500, Netherlands; Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), C/Albasanz 26-28, Madrid, 28037, Spain; Department of Environment, National Institute for Agriculture and Food Research and Technology (INIA), Ctra. Coruña, Km. 7,5, Madrid, 28040, Spain; Department of Biological Sciences Macquarie University, 6 Wally's WalkNSW 2109, Australia; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi 712100, China; Forest Research Group - INDEHESA University of Extremadura, Plasencia, 10600, Spain; Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), Charles Darwin 14, Parc Tecnològic, Paterna, 46980, Spain
推荐引用方式 GB/T 7714	Pacheco-Labrador J.,El-Madany T.S.,van der Tol C.,et al. senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland[J],2021,257.
APA	Pacheco-Labrador J..,El-Madany T.S..,van der Tol C..,Martin M.P..,Gonzalez-Cascon R..,...&Migliavacca M..(2021).senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland.Remote Sensing of Environment,257.
MLA	Pacheco-Labrador J.,et al."senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland".Remote Sensing of Environment 257(2021).