DOI: 10.1002/2017JG004107
Scopus记录号: 2-s2.0-85041604972
论文题名: MODIS-Based Estimates of Global Terrestrial Ecosystem Respiration
作者: Ai J. ; Jia G. ; Epstein H.E. ; Wang H. ; Zhang A. ; Hu Y.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期: 2 起始页码: 326
结束页码: 352
语种: 英语
英文关键词: atmosphere-ecosystem interaction
; carbon flux
; remote sensing
; temperature sensitivity
; terrestrial ecosystem respiration
; up-scaling
Scopus关键词: biome
; carbon flux
; MODIS
; remote sensing
; satellite data
; spatiotemporal analysis
; surface temperature
; terrestrial ecosystem
; upscaling
; vegetation index
英文摘要: Terrestrial ecosystem respiration (Reco) represents a large carbon source from land to atmosphere and is highly spatiotemporally heterogeneous across scales. Upscaling of field-measured respiration data using remote sensing information is urgently needed for understanding regional and global patterns of ecosystem respiration. Using Moderate Resolution Imaging Spectroradiometer (MODIS) data with resolutions of 1 km and 8 days and flux measurements from 171 sites (total of 812 site years) across the world from 2000 to 2014, we developed a semiempirical, yet physiologically based, remote sensing model, which can simulate Reco observed across most biomes with a small margin of error (R2 = 0.55, root-mean-square error = 1.67 gCm−2d−1, efficiency = 0.46, and mean bias error = 0.18 gCm−2d−1). The reference respiration at the annual mean nighttime land surface temperature (LST) can be well represented by MODIS enhanced vegetation index and LST. A comprehensive comparison of six respiration-temperature (R-T) models shows that the more physiologically based R-T model (extended Arrhenius model) may be most suitable for estimating the respiration rate at higher latitudes. Integrating an effect of vegetation change on Reco in different biomes effectively improves estimates of Reco in almost all of the biomes. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114583
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States; College of Forestry, Beijing Forestry University, Beijing, China; Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Ai J.,Jia G.,Epstein H.E.,et al. MODIS-Based Estimates of Global Terrestrial Ecosystem Respiration[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(2)