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Remote Sens. 2009, 1(3), 159-183; doi:10.3390/rs1030159

Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data

Department for Cartography, GIS and Remote Sensing, Institute of Geography, Georg-August University / Goldschmidtstr. 5, 37077, Göttingen, Germany
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Received: 1 June 2009 / Revised: 7 June 2009 / Accepted: 30 June 2009 / Published: 6 July 2009
(This article belongs to the Special Issue Land Surface Fluxes)
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Abstract

Carbon sequestration was estimated in a semi-arid grassland region in Central Kazakhstan using an approach that integrates remote sensing, field measurements and meteorological data. Carbon fluxes for each pixel of 1 × 1 km were calculated as a product of photosynthetically active radiation (PAR) and its fraction absorbed by vegetation (fPAR), the light use efficiency (LUE) and ecosystem respiration (Re). The PAR is obtained from a mathematical model incorporating Earth-Sun distance, solar inclination, solar elevation angle, geographical position and cloudiness information of localities. The fPAR was measured in field using hemispherical photography and was extrapolated to each pixel by combination with the Normalized Difference Vegetation Index (NDVI) obtained by the Vegetation instrument on board the Satellite Pour l’Observation de la Terra (SPOT) satellite. Gross Primary Production (GPP) of the aboveground and belowground vegetation of 14 sites along a 230 km west-east transect within the study region were determined at the peak of growing season in different land cover types and linearly related to the amount of PAR absorbed by vegetation (APAR). The product of this relationship is LUE = 0.61 and 0.97 g C/MJ APAR for short grassland and steppe, respectively. The Re is estimated using complex models driven by climatic data. Growing season carbon sequestration was calculated for the modelling year of 2004. Overall, the short grassland was a net carbon sink, whereas the steppe was carbon neutral. The evaluation of the modelled carbon sequestration against independent reference data sets proved high accuracy of the estimations. View Full-Text
Keywords: carbon stocks; net ecosystem exchange; radiation use efficiency; NDVI; steppe; grassland; Kazakhstan carbon stocks; net ecosystem exchange; radiation use efficiency; NDVI; steppe; grassland; Kazakhstan
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Propastin, P.; Kappas, M. Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data. Remote Sens. 2009, 1, 159-183.

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