Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest

被引:216
|
作者
Xiao, XM [1 ]
Zhang, QY
Saleska, S
Hutyra, L
De Camargo, P
Wofsy, S
Frolking, S
Boles, S
Keller, M
Moore, B
机构
[1] Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03833 USA
[2] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
[3] Univ Sao Paulo, CENA, Sao Paulo, Brazil
[4] USDA, Forest Serv, Int Inst Trop Forestry, San Juan, PR 00926 USA
基金
美国国家航空航天局;
关键词
leaf phenology; vegetation index; liquid water index; vegetation photosynthesis model;
D O I
10.1016/j.rse.2004.08.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A CO2 eddy flux tower study has recently reported that an old-growth stand of seasonally moist tropical evergreen forest in Santarem, Brazil, maintained high gross primary production (GPP) during the dry seasons [Saleska, S. R., Miller, S. D., Matross, D. M., Goulden, M. L., Wofsy. S. C., da Rocha, H. R., de Camargo, P. B., Crill, P., Daube, B. C., de Freitas, H. C., Hutyra, L., Keller, M., Kirchhoff, V., Menton, M., Munger, J. W., Pyle, E. H., Rice, A. H., & Silva, H. (2003). Carbon in amazon forests: Unexpected seasonal fluxes and disturbance-induced losses. Science, 302, 1554-1557]. It was proposed that seasonally moist tropical evergreen forests have evolved two adaptive mechanisms in an environment with strong seasonal variations of light and water: deep roots system for access to water in deep soils and leaf phenology for access to light. Identifying tropical forests with these adaptive mechanisms could substantially improve our capacity of modeling the seasonal dynamics of carbon and water fluxes in the tropical zone. In this paper, we have analyzed multi-year satellite images from the VEGETATION (VGT) sensor onboard the SPOT-4 satellite (4/1998-12/2002) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite (2000-2003). We reported temporal analyses of vegetation indices and simulations of the satellite-based vegetation photosynthesis model (VPM). The Enhanced Vegetation Index (EVI) identified subtle changes in the seasonal dynamics of leaf phenology (leaf emergence, leaf aging and leaf fall) in the forest, as suggested by the leaf litterfall data. The land surface water index (LSWI) indicated that the forest experienced no water stress in the dry seasons of 1998-2002. The VPM model, which uses EVI, LSWI and site-specific climate data (air temperature and photosynthetically active radiation, PAR) for 2001-2002, predicted high GPP in the late dry seasons, consistent with observed high evapotranspiration and estimated GPP from the CO2 eddy flux tower. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:105 / 122
页数:18
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