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Grassland Degradation Remote Sensing Monitoring and Driving Factors Quantitative Assessment in China from 1982 to 2010

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Remote Sensing Monitoring and Evaluation of Degraded Grassland in China

Part of the book series: Springer Geography ((SPRINGERGEOGR))

Abstract

Remote sensing monitoring of grassland degradation will indicate the grassland degradation status of China. At the same time, quantitative assessment of the driving factors will benefit to the understanding of degradation mechanism and grassland degradation control. In this study, net primary productivity (NPP) and grass coverage were selected as indicators to analyze grassland degradation dynamics. And we designed a method to assess the driving force of grassland degradation based on NPP. Specifically, the potential NPP and LNPP (NPP loss because of human activities), which is the difference between potential NPP and actual NPP, were used to calculate the contribution of climate and human factors to grassland degradation, respectively. Results showed that grassland degradation area accounted for 22.7% of the total grassland area in China from 1982 to 2010. The contribution of climate change and human activities to grassland degradation was almost equilibrium (47.9% vs. 46.4%). Overall, on the grassland restoration, human activities were the dominant driving factors, accounting for 78.1%, whereas the contribution of climate change was only 21.1%. However, there are obviously spatial heterogeneous on driving factors. And the contribution of climate change was larger than human activities. But for the grassland restoration, human activities were the dominant factors. Warm–dry climate was harmful to grass growth but useful restoration measurements were benefit to grassland restoration. Methods in this study can be widely used in other regions of grassland degradation evaluation.

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Authors and Affiliations

  1. Department of Geographic Information and Land Resources, Chongqing Jiaotong University, Chongqing, China

    Wei Zhou

  2. School of Geographical Sciences, Southwest University, Chongqing, China

    Wei Zhou

  3. School of Life Science, Nanjing University, Nanjing, China

    Jianlong Li

  4. Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences, Beijing, China

    Tianxiang Yue

Authors
  1. Wei Zhou
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  2. Jianlong Li
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  3. Tianxiang Yue
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Correspondence to Wei Zhou .

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Zhou, W., Li, J., Yue, T. (2020). Grassland Degradation Remote Sensing Monitoring and Driving Factors Quantitative Assessment in China from 1982 to 2010. In: Remote Sensing Monitoring and Evaluation of Degraded Grassland in China. Springer Geography. Springer, Singapore. https://doi.org/10.1007/978-981-32-9382-3_6

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