Proposed spatial decision support system for delineating ecological corridors in green infrastructure planning constrained by lack of data: a case study in Galicia, Spain
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引用次数: 0
Abstract
In response to the constant loss of biodiversity in European ecosystems, which is partly due to the impacts of climate change, the European Commission urges member states to include Green Infrastructure (GI) in their land-use plans. However, although the European Commission establishes the fundamental principles to be applied, the ambiguity of some terms generates a certain degree of complexity regarding the delineation of GI elements, especially Ecological Corridors (ECs). Thus, a straightforward methodology for delineating GI elements is required. Here, we propose a Spatial Decision Support System (SDSS) that could help non-expert planners identify areas with a high potential to function as ECs and that could thus facilitate the inclusion of these areas in regional GI plans. Probability distribution maps were constructed by fitting a maximum entropy model (MaxEnt) to publicly available data on selected focal species. The maps were combined with other variables that negatively affect species mobility and later inserted in a graph theory tool to determine the least-cost path that would serve as the basis for delineating ECs. The method was applied to the design of an EC network in Galicia (NW Spain), and use of the system as a tool to help spatial decision-making was evaluated. Despite some limitations, the method yielded promising results that could help non-expert planners to establish the basis for delineating EC networks and other GI elements.
摘要 为应对欧洲生态系统中生物多样性的不断丧失（部分原因是气候变化的影响），欧盟委员会敦促各成员国将绿色基础设施 (GI) 纳入其土地利用规划。然而，尽管欧盟委员会制定了适用的基本原则，但由于某些术语含糊不清，导致绿色基础设施（GI）要素（尤其是生态走廊（EC））的划分具有一定的复杂性。因此，需要一种简单明了的方法来划定 GI 要素。在此，我们提出了一个空间决策支持系统（SDSS），该系统可帮助非专业规划人员识别具有较高生态走廊功能潜力的区域，从而有助于将这些区域纳入区域地理信息计划。通过对选定重点物种的公开数据进行最大熵模型（MaxEnt）拟合，构建了概率分布图。这些分布图与对物种流动性有负面影响的其他变量相结合，然后插入图论工具，以确定作为划定生态区基础的最低成本路径。该方法被应用于加利西亚（西班牙西北部）欧共体网络的设计，并对该系统作为帮助空间决策的工具的使用情况进行了评估。尽管存在一些局限性，但该方法仍取得了可喜的成果，可帮助非专业规划人员为划定 EC 网络和其他 GI 要素奠定基础。
期刊介绍：
Landscape and Ecological Engineering is published by the International Consortium of Landscape and Ecological Engineering (ICLEE) in the interests of protecting and improving the environment in the face of biodiversity loss, desertification, global warming, and other environmental conditions.
The journal invites original papers, reports, reviews and technical notes on all aspects of conservation, restoration, and management of ecosystems. It is not limited to purely scientific approaches, but welcomes technological and design approaches that provide useful and practical solutions to today''s environmental problems. The journal''s coverage is relevant to universities and research institutes, while its emphasis on the practical application of research will be important to all decision makers dealing with landscape planning and management problems.
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