Differentiating climate- and human-induced drivers of grassland degradation in the Liao River Basin, China
Differentiating climate- and human-induced drivers of grassland degradation in the Liao River Basin, China
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区分中国辽河流域草地退化的气候和人为驱动因素
DOI：
10.1007/s10661-014-4199-2
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发表时间：
2015-01-01
影响因子：
3
通讯作者：
Zhao, Yuanyuan
中科院分区：
文献类型：
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作者：
He, Chunyang;Tian, Jie;Zhao, Yuanyuan
定量区分气候变化引起的草地退化与人类活动引起的草地退化，对于有效治理退化草地，实现草地可持续利用具有重要意义。利用残差趋势法（RESTREND）对辽河流域1999-2009年的两类驾驶员进行了区分，并评价了该方法在半干旱半湿润地区的适用性。首先确定了归一化植被指数（NDVI）与各气候因子之间的关系。在此基础上，假设气候变化是草地退化的唯一驱动因子，通过计算归一化残差的变化趋势，确定草地退化的主要驱动因子。我们发现，RESTREND方法可以用来定量和有效地区分气候和人为草地退化的驱动因素。研究还发现，辽河流域草地退化是自然过程和人类活动共同作用的结果。研究区草地退化的驱动因子差异很大，其中包括不同的降水和海拔高度的区域。科尔沁桑迪的退化主要受人类活动的影响，而贡嘎草原的退化主要受气候变化的影响。因此，在制定适当的草地管理战略时，应考虑退化的驱动因素和当地条件，以促进辽河流域草地的可持续性。
Quantitatively distinguishing grassland degradation due to climatic variations from that due to human activities is of great significance to effectively governing degraded grassland and realizing sustainable utilization. The objective of this study was to differentiate these two types of drivers in the Liao River Basin during 1999-2009 using the residual trend (RESTREND) method and to evaluate the applicability of the method in semiarid and semihumid regions. The relationship between the normalized difference vegetation index (NDVI) and each climatic factor was first determined. Then, the primary driver of grassland degradation was identified by calculating the change trend of the normalized residuals between the observed and the predicted NDVI assuming that climate change was the only driver. We found that the RESTREND method can be used to quantitatively and effectively differentiate climate and human drivers of grassland degradation. We also found that the grassland degradation in the Liao River Basin was driven by both natural processes and human activities. The driving factors of grassland degradation varied greatly across the study area, which included regions having different precipitation and altitude. The degradation in the Horqin Sandy Land, with lower altitude, was driven mainly by human activities, whereas that in the Kungl Prairie, with higher altitude and lower precipitation, was caused primarily by climate change. Therefore, the drivers of degradation and local conditions should be considered in an appropriate strategy for grassland management to promote the sustainability of grasslands in the Liao River Basin.