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Grassland degradation remote sensing monitoring and driving factors quantitative assessment in China from 1982 to 2010

机译：1982-2010年中国草地退化遥感监测与驱动因子定量评估

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摘要

Remote sensing monitoring of grassland degradation will make a clear of 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. The probability distribution functions (pdfs) of habitat suitability were different for the 7 dominant grassland types. Among, the pdfs of Imperata cylindrica (Linn.) Beauv. and Themeda japonica (Willd.) Tanaka was uniform distribution and mainly distributed in the southeastern of China. The pdf of Phragmites australis (Cay.) Trin. ex Stela was normal distribution and widely spread all over of China. The pdfs of the Kobre siapygmaea C.B. Clarke and Stipa purpurea Griseb were "leptokurtic shape" and concentrated in the Tibetan Plateau.
机译：草地退化的遥感监测将清楚中国的草地退化状况。同时，对驱动因素的定量评估将有助于了解退化机理和草地退化控制。在这项研究中，净初级生产力（NPP）和草覆盖率被选为分析草地退化动态的指标。并设计了一种基于核电厂的草地退化驱动力评估方法。具体而言，潜在的NPP和LNPP（由于人类活动造成的NPP损失）是潜在NPP与实际NPP之差，分别用于计算气候和人为因素对草地退化的贡献。结果表明，从1982年到2010年，草地退化面积占中国草地总面积的22.7％。气候变化和人类活动对草地退化的贡献几乎是平衡的（47.9％比46.4％）。总体而言，在草地恢复中，人类活动是主要驱动因素，占78.1％，而气候变化的贡献仅为21.1％。但是，驱动因素显然存在空间异质性。气候变化的贡献大于人类活动。但是对于草原恢复来说，人类活动是主要因素。温暖干燥的气候不利于草的生长，但有用的恢复措施有利于草地的恢复。本研究方法可广泛应用于其他地区的草地退化评价。 7种主要草原类型的生境适宜性概率分布函数（pdfs）不同。其中，Imperata cylindrica（Linn。）Beauv。田中（Thenada japonica）（田野）分布均匀，主要分布在中国东南部。 PDF Phragmites australis（Cay。）Trin。前Stela是正态分布的，在中国各地广泛分布。 Kobre siapygmaea C.B. Clarke和Stipa purpurea Griseb的pdf呈“瘦腰型”，并集中在青藏高原。

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  • 来源
    《Ecological indicators》 |2017年第12期|303-313|共11页
  • 作者

    Zhou Wei; Yang Han; Huang Lu; Chen Chun; Lin Xiaosong; Hu Zhongjun; Li Jianlong;

  • 作者单位

    Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China|Nanjing Univ, Sch Life Sci, Nanjing 210093, Jiangsu, Peoples R China;

    Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China;

    Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China;

    Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China;

    Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China;

    Shangrao Normal Univ, Coll Hist Geog & Tourism, Shangrao 334001, Jiangxi, Peoples R China;

    Nanjing Univ, Sch Life Sci, Nanjing 210093, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Grassland degradation; Driving mechanism; Human activities; Net primary productivity; Probability distribution functions;

    机译：草地退化;驱动机制;人类活动;净初级生产力;概率分布函数;

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