Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote-sensing |
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| Authors: | Pavel A. Propastin Martin W. Kappas Stefanie M. Herrmann Compton J. Tucker |
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| Affiliation: | 1. Department of Cartography , GIS &2. Remote Sensing, Georg-August-University G?ttingen , 37077, G?ttingen, Germany ppropas@uni-goettingen.de;4. Remote Sensing, Georg-August-University G?ttingen , 37077, G?ttingen, Germany;5. Space and Earth Science Research &6. Analysis, Science Systems and Applications Inc. (SSAI) , Lanham, MD, 20706, USA;7. Laboratory for Biospheric and Hydrospheric Processes, Biosphere Science Branch, NASA Goddard Space Flight Center , Greenbelt, MD, 20171, USA;8. Laboratory for Biospheric and Hydrospheric Processes, Biosphere Science Branch, NASA Goddard Space Flight Center , Greenbelt, MD, 20171, USA |
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| Abstract: | A modified light use efficiency (LUE) model was tested in the grasslands of central Kazakhstan in terms of its ability to characterize spatial patterns and interannual dynamics of net primary production (NPP) at a regional scale. In this model, the LUE of the grassland biome (?n) was simulated from ground-based NPP measurements, absorbed photosynthetically active radiation (APAR) and meteorological observations using a new empirical approach. Using coarse-resolution satellite data from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS), monthly NPP was calculated from 1998 to 2008 over a large grassland region in Kazakhstan. The modelling results were verified against scaled up plot-level observations of grassland biomass and another available NPP data set derived from a field study in a similar grassland biome. The results indicated the reliability of productivity estimates produced by the model for regional monitoring of grassland NPP. The method for simulation of ?n suggested in this study can be used in grassland regions where no carbon flux measurements are accessible. |
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