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Responses of Sediment Yield to Vegetation Cover Changes in the Poyang Lake Drainage Area, China

机译:the阳湖流域产沙对植被覆盖变化的响应。

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Ascertaining the relationships between sediment transport processes and vegetation cover is essential for watershed soil and water conservation. However, it is not easy to realize this target on a large scale. In this study, the location-weighted landscape contrast index (LCI) based on the “source-sink” theory of ecological processes was introduced to unravel the response of sediment yield to vegetation cover changes in the Poyang Lake drainage area (the largest freshwater lake in China). A modified location-weighted landscape contrast index (mLCI) was proposed to improve the accuracy and efficiency of the LCI. The average vegetation fraction of the study area significantly increased from 46.2% in Period I (1992–1994) to 76.5% in Period II (2004–2006) and then slightly decreased to 73.2% in Period III (2011–2013). From Period I to Period II, the area-specific sediment yield (ASY) sharply decreased by 55%. In Period II, the “source” vegetation patches were found further away from the water bodies, and were more likely to be located on gentler slopes than in Period I. From Period II to Period III, the ASY sharply increased by 83%. In Period III, “source” patches were found closer to the water bodies than in Period II, whereas the “sink” patches were found further away from the water bodies. The high statistical correlation between LCIs/mLCIs and ASY indicated a sensitive response of the sediment yield to vegetation cover changes that significantly altered the sediment transport processes in the study area. The ASY was better correlated with the mLCI than with the LCI. Three key harnessing sub-watersheds of the Ganjiang watershed were identified by calculating the mLCIs: Qingfengshan, Yuanhe, and Jinjiang. This study supported watershed ecological management in the Poyang Lake drainage area and provided a methodology reference for future sediment transport process studies.
机译:确定输沙过程与植被覆盖之间的关系对于流域水土保持至关重要。但是,大规模地实现该目标并不容易。在这项研究中,引入了基于生态过程“源汇”理论的位置加权景观对比度指数(LCI),以揭示avel阳湖流域(最大的淡水湖)的沉积物产量对植被覆盖变化的响应。在中国)。提出了一种改进的位置加权景观对比度指数(mLCI),以提高LCI的准确性和效率。研究区域的平均植被分数从第一期(1992-1994年)的46.2%显着增加到第二期(2004-2006年)的76.5%,然后在第三期(2011-2013年)略微下降到73.2%。从第一期到第二期,特定地区的泥沙产量(ASY)急剧下降了55%。在第二阶段,“源”植被斑块位于离水体更远的地方,比第一阶段更可能位于较平缓的斜坡上。从第二阶段到第三阶段,ASY急剧增加了83%。在第三阶段,发现“源”斑块比第二阶段更近,而“下沉”斑块则离水体更远。 LCIs / mLCIs和ASY之间的高度统计相关性表明,泥沙产量对植被覆盖变化的敏感响应,这大大改变了研究区域的泥沙输送过程。与LCI相比,ASY与mLCI的关联更好。通过计算mLCIs,确定了赣江流域的三个主要治理子流域:青峰山,元和和晋江。该研究为supported阳湖流域的流域生态管理提供了支持,并为今后的泥沙输送过程研究提供了方法学参考。

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