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Analyzing Landscape Trends on Agriculture, Introduced Exotic Grasslands and Riparian Ecosystems in Arid Regions of Mexico

机译:分析墨西哥干旱地区农业,引进的稀有草原和河岸生态系统的景观趋势

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摘要

Riparian Zones are considered biodiversity and ecosystem services hotspots. In arid environments, these ecosystems represent key habitats, since water availability makes them unique in terms of fauna, flora and ecological processes. Simple yet powerful remote sensing techniques were used to assess how spatial and temporal land cover dynamics, and water depth reflect distribution of key land cover types in riparian areas. Our study area includes the San Miguel and Zanjon rivers in Northwest Mexico. We used a supervised classification and regression tree (CART) algorithm to produce thematic classifications (with accuracies higher than 78%) for 1993, 2002 and 2011 using Landsat TM scenes. Our results suggest a decline in agriculture (32.5% area decrease) and cultivated grasslands (21.1% area decrease) from 1993 to 2011 in the study area. We found constant fluctuation between adjacent land cover classes and riparian habitat. We also found that water depth restricts Riparian Vegetation distribution but not agricultural lands or induced grasslands. Using remote sensing combined with spatial analysis, we were able to reach a better understanding of how riparian habitats are being modified in arid environments and how they have changed through time.
机译:河岸带被认为是生物多样性和生态系统服务的热点。在干旱的环境中,这些生态系统代表着重要的栖息地,因为水的可利用性使其在动物,植物和生态过程方面具有独特性。简单而强大的遥感技术被用于评估时空土地覆盖动态以及水深如何反映河岸地区关键土地覆盖类型的分布。我们的研究区域包括墨西哥西北部的San Miguel和Zanjon河。我们使用监督分类与回归树(CART)算法使用Landsat TM场景生成1993年,2002年和2011年的主题分类(精度高于78%)。我们的结果表明,从1993年到2011年,研究区域的农业数量减少了32.5%,耕地减少了21.1%。我们发现相邻的土地覆盖类别和河岸生境之间存在持续的波动。我们还发现水深限制了河岸植被的分布,但没有限制农业用地或人工草地。通过将遥感与空间分析相结合,我们可以更好地了解干旱环境中河岸生境的变化方式以及它们随时间的变化。

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