期刊
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
卷 116, 期 -, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2010JG001573
关键词
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资金
- USDA Forest Service Eastern Forest Environmental Threat Assessment Center
- CarboEuropeIP
- FAO-GTOS-TCO
- iLEAPS
- Max Planck Institute for Biogeochemistry
- National Science Foundation
- University of Tuscia
- Universite Laval and Environment Canada
- U.S. Department of Energy
[1] We developed a water-centric monthly scale simulation model (WaSSI-C) by integrating empirical water and carbon flux measurements from the FLUXNET network and an existing water supply and demand accounting model (WaSSI). The WaSSI-C model was evaluated with basin-scale evapotranspiration (ET), gross ecosystem productivity (GEP), and net ecosystem exchange (NEE) estimates by multiple independent methods across 2103 eight-digit Hydrologic Unit Code watersheds in the conterminous United States from 2001 to 2006. Our results indicate that WaSSI-C captured the spatial and temporal variability and the effects of large droughts on key ecosystem fluxes. Our modeled mean (+/- standard deviation in space) ET (556 +/- 228 mm yr(-1)) compared well to Moderate Resolution Imaging Spectroradiometer (MODIS) based (527 +/- 251 mm yr(-1)) and watershed water balance based ET (571 +/- 242 mm yr(-1)). Our mean annual GEP estimates (1362 +/- 688 g C m(-2) yr(-1)) compared well (R-2 = 0.83) to estimates (1194 +/- 649 g C m(-2) yr(-1)) by eddy flux-based EC-MOD model, but both methods led significantly higher (25-30%) values than the standard MODIS product (904 +/- 467 g C m(-2) yr(-1)). Among the 18 water resource regions, the southeast ranked the highest in terms of its water yield and carbon sequestration capacity. When all ecosystems were considered, the mean NEE (-353 +/- 298 g C m(-2) yr(-1)) predicted by this study was 60% higher than EC-MOD's estimate (-220 +/- 225 g C m(-2) yr(-1)) in absolute magnitude, suggesting overall high uncertainty in quantifying NEE at a large scale. Our water-centric model offers a new tool for examining the trade-offs between regional water and carbon resources under a changing environment.
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