Publikationsdatum:
2018-01-11
Beschreibung:
Terrestrial ecosystem respiration (Reco) represents a large carbon source from land to atmosphere and is highly spatio-temporally heterogeneous across scales. Up-scaling of field-measured respiration data using remote sensing information is urgently needed for understanding regional and global patterns of ecosystem respiration. Using MODIS data with resolutions of one km and eight days, and flux measurements from 171 sites (total of 812 site-years) across the world from 2000 to 2014, we developed a semi-empirical, yet physiologically-based, remote sensing model, which can simulate Reco observed across most biomes with a small margin of error (R 2 = 0.55, RMSE = 1.67 gCm -2 d -1 , EF = 0.46, MBE = 0.18 gCm -2 d -1 ). The reference respiration at the annual mean nighttime Land Surface Temperature (LST) can be well represented by MODIS Enhanced Vegetation Index (EVI) and LST. A comprehensive comparison of six respiration-temperature (R-T) models shows that the more physiologically-based R-T model (extended Arrhenius model - ETA) 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.
Print ISSN:
0148-0227
Thema:
Biologie
,
Geologie und Paläontologie
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