Benayas José M Rey, Montaña Enrique De La, Belliure Josabel, Eekhout Xavier R
Dpto. de Ecología, Edificio de Ciencias, Universidad de Alcalá, 28871 Alcalá de Henares, Spain.
J Environ Manage. 2006 May;79(3):279-89. doi: 10.1016/j.jenvman.2005.07.006. Epub 2005 Oct 25.
A major task related to conservation is to predict if planned infrastructure projects are likely to threaten biodiversity. In this study we investigated the potential impact of planned infrastructure in Spain on amphibian and reptile species, two highly vulnerable groups given their limited dispersal and current situation of population decline. We used distribution data of both groups to identify areas of high herpetofauna diversity, and compared the locations of these areas with the locations of the planned road, high-speed train railway and water reservoir network. Four criteria were used for this identification: species richness, rarity, vulnerability, and a combined index of the three criteria. From a total of 1441 cells of 20 x 20 km, areas of high diversity were defined as those cells whose ranked values for the different criteria included either all species or all threatened species. The combined index provided the smallest number of cells needed to retain all threatened species (1.7 and 2.6% of the cells for amphibian and reptile species, respectively). Coincidences between these high diversity areas and cells including planned infrastructures-denominated 'alert planning units'-were 35.4% for amphibians and 31.2% for reptiles. Mitigation of the potential impacts would include actions such as barriers to animal access to roads and railways and ecoducts under these constructions. Our approach provides conservation authorities information that can be used to make decisions on habitat protection. A technique that identifies threats to herpetofauna before they occur is also likely to improve the chance of herpetofauna being protected.
与保护相关的一项主要任务是预测规划中的基础设施项目是否可能威胁生物多样性。在本研究中,我们调查了西班牙规划中的基础设施对两栖动物和爬行动物物种的潜在影响,鉴于这两类动物扩散能力有限且目前处于种群数量下降的状况,它们是两个高度脆弱的群体。我们利用这两类动物的分布数据来确定爬行动物和两栖动物多样性高的区域,并将这些区域的位置与规划中的道路、高速铁路和水库网络的位置进行比较。为此识别使用了四个标准:物种丰富度、稀有性、脆弱性以及这三个标准的综合指数。在总共1441个20×20千米的单元格中,高多样性区域被定义为那些在不同标准下排名值包含所有物种或所有受威胁物种的单元格。综合指数提供了保留所有受威胁物种所需的最少单元格数量(两栖动物和爬行动物物种分别为单元格总数的1.7%和2.6%)。这些高多样性区域与包含规划基础设施的单元格(称为“警戒规划单元”)之间的重合率,两栖动物为35.4%,爬行动物为31.2%。减轻潜在影响的措施将包括设置障碍物阻止动物进入道路和铁路以及在这些建筑下方建造生态通道等行动。我们的方法为保护当局提供了可用于做出栖息地保护决策的信息。一种在威胁发生之前识别对爬行动物和两栖动物威胁的技术也可能会提高保护爬行动物和两栖动物的几率。