Abstract
Monitoring of net primary productivity (NPP) is especially important for the fragile ecosystems in arid and semi-arid regions. Great interest exists in observing large-scale vegetation dynamics and understanding spatial and temporal patterns of NPP in these areas. In this study we present results of NPP obtained with the model BETHY/DLR for Kazakhstan for 2003–2011 and its spatial and temporal dynamics. The spatial distribution of vegetation productivity shows a gradient from North to South and clear differences between individual vegetation classes. The monthly NPP values show the highest productivity in June. Differences between rain-fed and irrigated areas indicate the dependency on water availability. Annual NPP variability was high for agricultural areas, but showed low values for natural vegetation. The analysis of different patterns in vegetation productivity provides valuable information for the identification of regions that are vulnerable to a possible climate change. This information may thus substantially support a sustainable land management.
Highlights
Arid and semi-arid regions are especially susceptible to environmental degradation, which has been identified as one of the major threats by the High Level Panel on Threats, Challenges and Change of the United Nations [1]
In this paper we present net primary productivity (NPP) results obtained with the model BETHY/DLR for Kazakhstan for the period 2003–2011
The results showed a mean annual NPP of 143 g C m-2 for Kazakhstan
Summary
Arid and semi-arid regions are especially susceptible to environmental degradation, which has been identified as one of the major threats by the High Level Panel on Threats, Challenges and Change of the United Nations [1]. Remote-sensing based modelling of NPP allows for analysing vegetation productivity of large areas. The results are used to analyze spatial distribution of annual NPP, monthly NPP dynamics for different vegetation classes, and NPP variability. 3. Input data and methods NPP time-series for Kazakhstan were calculated with the model BETHY/DLR.
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