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Detecting threatened biodiversity by urbanization at regional and local scales using an urban sprawl simulation approach: Application on the French Mediterranean region

机译:使用城市扩展模拟方法在区域和地方范围内通过城市化检测受威胁生物多样性:在法国地中海地区的应用

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摘要

Urbanization is a major threat on biodiversity due to the direct destruction of natural and semi-natural habitats and to the indirect impacts caused by urban areas beyond their limits. In this study, we proposed a methodological framework to assess the potential impacts of current and future urbanization on high diversity sites and their associated species across the entire French Mediterranean region. Using a 100 m grid cell, we adapted a land-use change (LUC) model to project future urbanization over a 20 years period. We developed a multi-level approach based on three impacts of urban development: the direct consumption of high diversity sites, the indirect urban effects on the surrounding area over a scale of 2 km and a scale of 50 km. Our model predicts that 35% of the total number of sites can potentially be impacted by urbanization (i.e. at least 1 ha predicted to be built between 2006 and 2030). 3.2% of the total number of sites may lose 10% or more of their surface area to urbanization. We found that the impacts of urban area and urban growth differ among the three different pressure indicators in terms of surface area and localization of sites, number and nature of species impacted and variation of these patterns between the two dates. In general, most of the sites under pressure are located in the coastal part of the study region and are of smaller surface area than average
机译:由于自然和半自然生境的直接破坏以及城市地区超出其范围所造成的间接影响,城市化是对生物多样性的主要威胁。在这项研究中,我们提出了一种方法框架,以评估当前和未来的城市化对整个法国地中海地区高多样性地区及其相关物种的潜在影响。我们使用100 m的网格单元,对土地利用变化(LUC)模型进行了调整,以预测未来20年的城市化进程。我们基于城市发展的三方面影响开发了一种多层次方法:高多样性站点的直接消耗,2 km规模和50 km规模对周边地区的间接城市影响。我们的模型预测,城市化可能会影响总站点数的35%(即,预计在2006年至2030年之间至少建设1公顷)。总数的3.2%的地区可能因城市化而失去其表面积的10%或更多。我们发现,在三个不同压力指标之间,城市面积和城市增长的影响在表面积和地点的局限性,受影响物种的数量和性质以及这两个日期之间这些模式的变化方面有所不同。一般而言,大多数受压场地位于研究区域的沿海地区,且表面积小于平均水平。

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