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Vegetation landscape analysis due to land use changes on arid lands

机译:植被景观分析由于土地利用变化干旱地区

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Fast land use changes have strongly affected arid and semi-arid regions at a global scale, affecting food security of the inhabitants of these regions. This study evaluated the fragmentation degree in the Chihuahua's desert region of Mexico by using data from the Landsat TM sensor. Nine scenes, taken with Landsat TM5 sensor from the years 1990, 2000, and 2012, were used for the analysis. The coverage of seven land uses (grasslands, shrubland, croplands, sandy desert vegetation, forest, water bodies, and urban areas) was obtained under supervised classification techniques and the accuracy level was evaluated through the Kappa multi-varied discrete index. The classification showed a good reliance level having global accuracies of 93, 93.2 and 90.3% for the years 1990, 2000 and 2012, respectively. The fragmentation analysis showed an increase in the number of patches, an indicator of the ecosystem degradation process. The patches number increased from 8,354.23 in 1990 to 9,658.36 in 2000 and to 11,469 in 2012. Simpson and Shannon diversity indexes proved a clear fragmentation process. During the period of 1990-2012, grasslands were the most affected vegetation type with a reduction of 30.7% in its area. Such reduction was mainly attributed to invasions of shrubland communities and to an increase in cropland areas.
机译:快速的土地利用变化在全球范围内强烈影响干旱和半干旱地区,影响了这些地区居民的粮食安全。本研究通过使用来自Landsat TM传感器的数据,评估了墨西哥的沙漠地区奇瓦瓦州沙漠地区的碎片景观。从1990年,2000年和2012年的Landsat TM5传感器采用九个场景,用于分析。在监督分类技术下获得了七种土地用途(草地,灌木,农田,桑迪沙漠植被,森林,水体和城市地区),通过Kappa多种不同的离散指数评估准确度。分类表明,良好的Reliance水平分别具有93,93.2和90.3%的全球准确度,分别为1990年,2000和2012年的90.3%。碎裂分析显示斑块数量增加,生态系统降解过程的指标。修补程序数量从1990年的8,354.23增加到2000年的9,658.36,2012年的11,469人。辛普森和香农分复指数证明了一个明确的碎片过程。在1990 - 2012年期间,草原是受影响最严重的植被类型,其地区减少了30.7%。这种减少主要归因于灌木丛的侵犯,并增加了农田地区的增加。

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