Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations

被引:80
作者
Balzarolo, M. [1 ]
Vicca, S. [1 ]
Nguy-Robertson, A. L. [2 ]
Bonal, D. [3 ]
Elbers, J. A. [4 ]
Fu, Y. H. [1 ,5 ]
Gruenwald, T. [6 ]
Horemans, J. A. [1 ]
Papale, D. [7 ]
Penuelas, J. [8 ,9 ]
Suyker, A. [2 ]
Veroustraete, F. [10 ]
机构
[1] Univ Antwerp, Dept Biol, Ctr Excellence PLECO Plant & Vegetat Ecol, Univ Pl 1, B-2610 Antwerp, Belgium
[2] Univ Nebraska, Sch Nat Resources, Lincoln, NE 68583 USA
[3] INRA, UMR EEF, F-54280 Champenoux, France
[4] Alterra, Wageningen UR, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands
[5] Peking Univ, Coll Urban & Environm Sci, Yiheyuan Rd 5, Beijing 100871, Peoples R China
[6] Tech Univ Dresden, Inst Hydrol & Meteorol, D-01062 Dresden, Germany
[7] Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst DIBAF, Via SC de Lellis Snc, I-01100 Viterbo, Italy
[8] UAB, CSIC, CREAF, Global Ecol Unit, Cerdanyola Del Valles 08913, Catalonia, Spain
[9] CREAF, Cerdanyola Del Valles 08913, Catalonia, Spain
[10] Univ Antwerp, Fac Sci, Dept Biosci Engn, Groenenborgerlaan 171, B-2020 Antwerp, Belgium
基金
加拿大自然科学与工程研究理事会; 欧洲研究理事会;
关键词
Vegetation indices (VI's); Net Ecosystem Exchange (NEE); Start of net carbon uptake (SGS(NEE)); Start of growing season (SGS); Plant functional types (PFT's); Phenology; INDUCED CHLOROPHYLL FLUORESCENCE; PHOTOCHEMICAL REFLECTANCE INDEX; LEAF-AREA INDEX; CARBON UPTAKE; TIME-SERIES; DECIDUOUS FOREST; SPECTRAL INDEX; VARIABILITY; PARAMETERS; DYNAMICS;
D O I
10.1016/j.rse.2015.12.017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Shifts in ecosystem phenology play an important role in the definition of inter-annual variability of net ecosystem carbon uptake. A good estimate at the global scale of ecosystem phenology, mainly that of photosynthesis or gross primary productivity (GPP), may be provided by vegetation indices derived from MODIS satellite image data. However, the relationship between the start date of a growing (or greening) season (SGS) when derived from different vegetation indices (VI's), and the starting day of carbon uptake is not well elucidated. Additionally, the validation of existing phenology data with in-situ measurements is largely missing. We have investigated the possibility to use different VI's to predict the starting day of the growing season for 28 FLUXNET sites as well as MODIS data. This analysis included main plant functional types (PFT's). Of all VI's taken into account in this paper, the NDVI (Normalized Difference Vegetation Index) shows the highest correlation coefficient for the relationship between the starting day of the growing season as observed with MODIS and in-situ observations. However, MODIS observations elicit a 20-21 days earlier SGS date compared to in-situ observations. The prediction for the NEE start of the growing season diverges when using different VI's, and seems to depend on the amplitude for carbon and VI and on PFT. The optimal VI for estimation of a SGS date was PFT-specific for example the WRDVI for cropland, but the MODIS NDVI performed best when applied as an estimator for Net Ecosystem Exchange and when considering all PFF's pooled. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:290 / 300
页数:11
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