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Abrupt spatiotemporal land and water changes and their potential drivers in Poyang Lake, 2000-2012

机译:-阳湖2000-2012年突然的时空土地和水变化及其潜在驱动力

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摘要

Driven by various natural and anthropogenic factors, Poyang Lake, the largest freshwater lake in China, has experienced significant land use/cover changes in the past few decades. The aim of this study is to investigate the spatial-temporal patterns of abrupt changes and detect their potential drivers in Poyang Lake, using time-series Moderate Resolution Imaging Spectroradiometer (MOD1S) 16-day maximum value composite vegetation indices between 2000 and 2012. The breaks for additive seasonal and trend (BFAST) method was applied to the smoothed time-series normalized difference vegetation index (NDVI), to detect the timing and magnitude of abrupt changes in the trend component. Large part of Poyang Lake (98.9% for trend component) has experienced abrupt changes in the past 13 years, and the change patterns, including the distributions in timing and magnitudes of major abrupt trend changes between water bodies and land areas were clearly differentiated. Most water bodies had abrupt increasing NDVI changes between 2010 and 2011, caused by the sequential severe flooding and drought in the two years. In contrast, large parts of the surrounding land areas had abrupt decreasing NDVI changes. Large decreasing changes occurred around 2003 at the city of Nanchang, which were driven by urbanization. These results revealed spatial-temporal land cover changing patterns and potential drivers in the wetland ecosystem of Poyang Lake.
机译:在各种自然和人为因素的推动下,中国最大的淡水湖Po阳湖在过去几十年中经历了重大的土地利用/覆盖变化。这项研究的目的是使用时间序列中分辨率成像光谱仪(MOD1S)在2000年至2012年之间的16天最大值复合植被指数,研究Po阳湖突变的时空格局并发现其潜在动因。将加法季节性和趋势中断(BFAST)方法应用于平滑的时间序列归一化差异植被指数(NDVI),以检测趋势分量的突然变化的时间和幅度。 Po阳湖的大部分地区(趋势成分为98.9%)在过去13年中经历了突变,并且水体和陆地区域之间的变化模式,包括时间分布和主要突变趋势的变化幅度,都得到了明显区分。由于两年来连续的严重洪灾和干旱,大多数水体在2010年至2011年之间的NDVI突变突然增加。相比之下,周围陆地的大部分地区的NDVI变化却急剧下降。由于城市化,南昌市在2003年左右发生了较大的下降变化。这些结果揭示了Po阳湖湿地生态系统的时空土地覆盖变化模式和潜在驱动力。

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  • 作者单位

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China,Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, and School of Environment, Tsinghua University, Beijing 100084, China,Department of Geography, University of Utah, Salt Lake City, UT 84112, USA;

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

    MODIS; Time-series analysis; Vegetation index; Signal decomposition; Trend breaks; Driving forces;

    机译:MODIS;时间序列分析;植被指数;信号分解;趋势突破;驱动力;
  • 入库时间 2022-08-18 03:34:16

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