首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Monitoring the trends of aeolian desertified lands based on time-series remote sensing data in the Horqin Sandy Land, China
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Monitoring the trends of aeolian desertified lands based on time-series remote sensing data in the Horqin Sandy Land, China

机译:基于时间系列遥感数据在中国哈尔沁沙地的时序遥感数据监测了风沙荒漠化土地的趋势

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Aeolian desertification is one of the most significant environmental and socio-economic problems, represents a major component of land degradation, and seriously harms the ecological environment, leading to adverse impacts on human society. Monitoring aeolian desertification and identifying the driving factors behind it are crucial for developing prevention and management strategies to combat this issue. The objectives of this study were to monitor the trends of aeolian desertification in Horqin Sandy Land by using time-series MODIS-NDVI remote sensing data for the period of 2000–2013. A dimidiate pixel model was chosen to calculate the Vegetation Coverage Index (VCI), while a unary linear regression analysis was used for a temporal trend analysis of the Aeolian Desertification Index (ADI) and selected climate factors. The Sen's slope estimator and the Mann-Kendall statistical test were used to analyze the spatial trends of the ADI. (1) The temporal trend of ADI showed three stages: reversion during the period of 2000–2005 and 2009–2013, and development during the period of 2005–2009. For the five classes of ADI, the areas of non-aeolian desertified lands (N) showed an increasing trend and the slight (SL), moderate (M), serious (S), and very serious aeolian desertified lands (VS) showed decreasing trends, with the decline in areas of SL and M contributing to the reversion of aeolian desertification. (2) The spatial distribution showed that the VS was mainly distributed in the southwestern portion, and the S was mainly distributed around the VS portion. The SL and M formed a straight line from the southwest to the northeast, bisecting the two areas of S. The N was mainly distributed in the northwestern portion and the eastern edges of the study area. (3) The spatial trends showed that areas of decreasing and significantly decreasing ADI trends occupied 78.44%, while areas with increasing and significantly increasing ADI trends only occupied 21.56% of the study area over the period of 2000–2013, indicating that aeolian desertification in Horqin Sandy Land is decreasing overall and advancing in certain portions. (4) The driving factors of aeolian desertification were analyzed from the perspectives of two groups: climate and anthropogenic factors. We found that the desertification control measures and favorable climate condition have played key roles in the process of desertification reversion; and climate fluctuations, reclamation and livestock pressure have led to the desertification development. The results can provide meaningful information for the prevention and control of aeolian desertification in Horqin Sandy Land. Highlights ? We monitored the trends of aeolian desertified lands using MODIS-NDVI of 2000–2013. ? We identified the driving factors of aeolian desertification in Horqin Sandy Land. ? Aeolian desertification underwent a process of reversion-development-reversion. ? Climate and anthropogenic factors were both contributed to aeolian desertification.
机译:Aeolian荒漠化是最重要的环境和社会经济问题之一,代表着土地退化的主要成分,严重损害了生态环境,导致对人类社会的不利影响。监测Aeolian荒漠化并确定其背后的驾驶因子对于开发防止和管理战略来解决这个问题至关重要。本研究的目标是通过使用2000 - 2013年期间的时间序列Modis-NDVI遥感数据来监测Horqin Sandy Land中的Aeolian荒漠化趋势。选择解调像素模型以计算植被覆盖指数(VCI),而一元线性回归分析用于Aeolian荒漠化指数(ADI)和选定的气候因素的时间趋势分析。 SEN的斜坡估计和MANN-KENDALL统计测试用于分析ADI的空间趋势。 (1)ADI的时间趋势显示了三个阶段:在2000 - 2005年至2009 - 2013年期间逆转,2005年至2009年期间的发展。对于五类ADI,非AEOLian荒漠化地区(N)的地区表现出趋势越来越大,轻微(SL),中等(M),严重(S)和非常严重的Aeolian荒漠化土地(VS)表现出降低趋势,SL和M领域的下降有助于返回Aeolian荒漠化。 (2)空间分布表明,VS主要分布在西南部,S主要分布在VS部分周围。 SL和M从西南到东北形成一条直线,分布了S的两个区域。N主要分布在西北部和研究区域的东部边缘。 (3)空间趋势表明,降低和显着降低的ADI趋势占据78.44%,而ADI趋势的增加和显着增加的地区仅占2000 - 2013年期间的21.56%,表明Aeolian荒漠化Horqin Sandy Land在某些​​部分中总体上涨并推进。 (4)从两组的角度分析了风景荒漠化的驱动因素:气候和人为因素。我们发现荒漠化控制措施和有利的气候条件在荒漠化逆转过程中发挥了关键作用;和气候波动,填海和牲畜压力导致了荒漠化发展。结果可以提供有意义的信息,以防止和控制海岸砂岩中的海湾荒漠化。强调 ?我们使用2000-2013的MODIS-NDVI监测了Aeolian Searing Lands的趋势。还我们确定了哈尔沁沙地中的荒漠化荒漠化的驾驶因素。还Aeolian荒漠化接受了回归发展的过程。还气候和人为因素均为荒漠化荒漠化。

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