利用历史文献资料和植被指数监测中国北方和蒙古的土地覆盖变化和沙漠化过程

Michael Kempf
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引用次数: 2

摘要

摘要防止半干旱和气候敏感草原的土地退化是当前生态政治议程中最紧迫的任务之一。由于20世纪牲畜数量的大量增加,中国北方和蒙古特别容易发生地表变化。广泛的过度放牧和资源开发放大了区域气候变化的影响,引发了地表变化的加剧,这迫使政策驱动的干预措施来防止荒漠化。过去,该地区的环境和社会文化参数发生了重大变化,这使得测量区域人为影响和全球气候变化的程度变得困难。本文分析了历史文献资料、古环境数据和中分辨率成像光谱辐射计(MODIS)的归一化植被指数(NDVI)时间序列,比较了小冰期(LIA)和参考期2000-2018年的土地覆盖变化。结果表明,17世纪后期降水和温度记录的减少导致土地退化加剧。然而,现代土地覆盖数据显示,与降水(Ptotal)和最高温度(Tmax)的增加形成对比的是裸地的扩大。植被生长早期(3 - 5月)和放牧后期(9月)的植被响应与Ptotal和Tmax无关,NDVI值普遍较低,表明近20 a来草地没有明显恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring landcover change and desertification processes in northern China and Mongolia using historical written sources and vegetation indices
Abstract. Fighting land degradation of semi-arid and climate-sensitive grasslands are among the most urgent tasks of current eco-political agenda. Northern China and Mongolia are particularly prone to surface transformations caused by heavily increased livestock numbers during the 20th century. Extensive overgrazing and resource exploitation amplify regional climate change effects and trigger intensified surface transformation, which forces policy-driven interventions to prevent desertification. In the past, the region has been subject to major shifts in environmental and socio-cultural parameters, what makes it difficult to measure the extent of the regional anthropogenic impact and global climate change. This article analyses historical written sources, palaeoenvironmental data, and Normalized Difference Vegetation Index (NDVI) temporal series from the Moderate Resolution Imaging Spectroradiometer (MODIS) to compare landcover change during the Little Ice Age (LIA) and the reference period 2000–2018. Results show that decreasing precipitation and temperature records led to increased land degradation during the late 17th century. However, modern landcover data shows enhanced expansion of bare lands contrasting an increase in precipitation (Ptotal) and maximum temperature (Tmax). Vegetation response during the early growing season (March–May) and the late grazing season (September) does not relate to Ptotal and Tmax and generally low NDVI values indicate no major grassland recovery over the past 20 years.
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