DOI: 10.1111/gcb.12443
论文题名: A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data
作者: Jägermeyr J. ; Gerten D. ; Lucht W. ; Hostert P. ; Migliavacca M. ; Nemani R.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 4 起始页码: 1191
结束页码: 1210
语种: 英语
英文关键词: FLUXNET
; Land surface temperature
; LPJmL DGVM
; MODIS
; RECO
; Temperature sensitivity
; Terrestrial carbon flux
; Up-scaling
Scopus关键词: carbon flux
; ecosystem health
; estimation method
; land surface
; MODIS
; remote sensing
; respiration
; satellite data
; spatiotemporal analysis
; surface temperature
; terrestrial ecosystem
; upscaling
; vegetation index
; Europe
; North America
; carbon cycle
; ecosystem
; environmental monitoring
; procedures
; satellite imagery
; temperature
; theoretical model
; Carbon Cycle
; Ecosystem
; Environmental Monitoring
; Models, Theoretical
; Satellite Imagery
; Temperature
英文摘要: A better understanding of the local variability in land-atmosphere carbon fluxes is crucial to improving the accuracy of global carbon budgets. Operational satellite data backed by ground measurements at Fluxnet sites proved valuable in monitoring local variability of gross primary production at highly resolved spatio-temporal resolutions. Yet, we lack similar operational estimates of ecosystem respiration (Re) to calculate net carbon fluxes. If successful, carbon fluxes from such a remote sensing approach would form an independent and sought after measure to complement widely used dynamic global vegetation models (DGVMs). Here, we establish an operational semi-empirical Re model, based only on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) with a resolution of 1 km and 8 days. Fluxnet measurements between 2000 and 2009 from 100 sites across North America and Europe are used for parameterization and validation. Our analysis shows that Re is closely tied to temperature and plant productivity. By separating temporal and intersite variation, we find that MODIS land surface temperature (LST) and enhanced vegetation index (EVI) are sufficient to explain observed Re across most major biomes with a negligible bias [R2 = 0.62, RMSE = 1.32 (g C m-2 d-1), MBE = 0.05 (g C m-2 d-1)]. A comparison of such satellite-derived Re with those simulated by the DGVM LPJmL reveals similar spatial patterns. However, LPJmL shows higher temperature sensitivities and consistently simulates higher Re values, in high-latitude and subtropical regions. These differences remain difficult to explain and they are likely associated either with LPJmL parameterization or with systematic errors in the Fluxnet sampling technique. While uncertainties remain with Re estimates, the model formulated in this study provides an operational, cross-validated and unbiased approach to scale Fluxnet Re to the continental scale and advances knowledge of spatio-temporal Re variability. © 2013 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61947
Appears in Collections: 影响、适应和脆弱性
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作者单位: Potsdam Institute for Climate Impact Research, RD 1: Earth System Analysis, PO-Box 601203, D-14412 Potsdam, Germany; Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, D-10099 Berlin, Germany; Max Planck Institute for Biogeochemistry, Department Biogeochemical Integration, Hans-Knöll-Str. 10, D-07745, Jena, Germany; Remote Sensing of Environmental Dynamics Laboratory, DISAT, Università degli Studi Milano-Bicocca, Piazza della Scienza, 1, 20126 Milan, Italy; NASA Ames Research Center, Moffett Field, CA 94035, United States
Recommended Citation:
Jägermeyr J.,Gerten D.,Lucht W.,et al. A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data[J]. Global Change Biology,2014-01-01,20(4)