The spatio-temporal responses of the carbon cycle to climate and land use/land cover changes between 1981–2000 in China

Zhiqiang GAO, Xiaoming CAO, Wei GAO

Front. Earth Sci. ›› 0

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Front. Earth Sci. ›› DOI: 10.1007/s11707-012-0335-x
RESEARCH ARTICLE
RESEARCH ARTICLE

The spatio-temporal responses of the carbon cycle to climate and land use/land cover changes between 1981–2000 in China

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Abstract

This paper represents the first national effort of its kind to systematically investigate the impact of changes in climate and land use and land cover (LULC) on the carbon cycle with high-resolution dynamic LULC data at the decadal scale (1990s and 2000s). Based on simulations using well calibrated and validated Carbon Exchanges in the Vegetation-Soil-Atmosphere (CEVSA) model, temporal and spatial variations in carbon storage and fluxes in China may be generated empower us to relate these variations to climate variability and LULC with respect to net primary productivity (NPP), heterotrophic respiration (HR), net ecosystem productivity (NEP), storage and soil carbon (SOC), and vegetation carbon (VEGC) individually or collectively. Overall, the increases in NPP were greater than HR in most cases due to the effect of global warming with more precipitation in China from 1981 to 2000. With this trend, the NEP remained positive during that period, resulting in a net increase of total amount of carbon being stored by about 0.296 PgC within a 20-year time frame. Because the climate effect was much greater than that of changes of LULC, the total carbon storage in China actually increased by about 0.17 PgC within the 20-year time period. Such findings will contribute to the generation of carbon emissions control policies under global climate change impacts.

Keywords

carbon cycle / climate changes / LULC / remote sensing / Earth system modeling

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Zhiqiang GAO, Xiaoming CAO, Wei GAO. The spatio-temporal responses of the carbon cycle to climate and land use/land cover changes between 1981–2000 in China. Front Earth Sci, https://doi.org/10.1007/s11707-012-0335-x

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 41171334 and 41071278) and USDA NIFA Project (No. 2010-34263-21075). The authors acknowledge all the financial support gratefully.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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