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Going local – Providing a highly detailed Green Infrastructure geodata set for assessing connectivity and functionality

机译:进入本地 - 提供高度详细的绿色基础架构地理数据,用于评估连接和功能

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Green Infrastructure (GI) defined as a strategically planned network of natural and semi-natural areas is a key strategy in the European biodiversity strategy and the landscape connectivity agenda. To implement this approach in Central Europe's (CE) landscape planning policies the Interreg project MaGICLandscapes (ML) tried to operationalise the GI concept in CE as well as in nine case studies, to provide land-managers, policy makers and communities with tools and knowledge, at different spatial levels. Based on the example of the Austrian case study area, the aim of this paper is to present an easy to use approach, as implemented in ML, for producing a highly-detailed regional GI database to overcome the difficulty of realising comprehensive biotope mapping surveys as well as the rather coarse resolution of CORINE Land Cover (CLC). By compiling regional cadastral and agricultural information, highly detailed data on the water network as well as Pan-European High Resolution Layers (HRL), this detailed representation of the regional GI network allows to enhance the regional applicability and acceptance of GI initiatives and provides a crucial foundation for assessing GI connectivity and functionality to develop evidence-based strategies and action plans through stakeholder involvement to direct future actions and investment in GI.
机译:绿色基础设施(GI)被定义为一个战略规划的自然和半自然区域网络是欧洲生物多样性战略和景观连通议程的关键策略。为了在中欧(CE)景观规划政策中实施这种方法,中间项目漫画(ML)试图在CE以及九个案例研究中运营GI概念,以提供与工具和知识的土地管理人员,政策制定者和社区,在不同的空间水平。基于奥地利案例研究领域的示例,本文的目的是呈现易于使用的方法,如ML所实施的,用于产生高度详细的区域GI数据库,以克服实现综合生物镜映射调查的难度以及柯林机覆盖(CLC)的相当粗糙分辨率。通过编制区域地籍和农业信息,对水网络的高度详细数据以及泛欧高分辨率层(HRL),区域GI网络的详细代表允许提高地区适用性和接受GI举措并提供评估GI连通性和功能的关键基础,通过利益攸关方参与直接对GI的未来行动和投资来制定基于证据的战略和行动计划。

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