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将环境差距分析与空间保护优先级制定相结合:来自澳大利亚维多利亚州的案例研究。

Integrating environmental gap analysis with spatial conservation prioritization: a case study from Victoria, Australia.

机构信息

Australian Centre of Excellence for Risk Analysis, School of Botany, University of Melbourne, Victoria 3010, Australia.

出版信息

J Environ Manage. 2012 Dec 15;112:240-51. doi: 10.1016/j.jenvman.2012.07.010. Epub 2012 Aug 28.

DOI:10.1016/j.jenvman.2012.07.010
PMID:22935646
Abstract

Gap analysis is used to analyse reserve networks and their coverage of biodiversity, thus identifying gaps in biodiversity representation that may be filled by additional conservation measures. Gap analysis has been used to identify priorities for species and habitat types. When it is applied to identify gaps in the coverage of environmental variables, it embodies the assumption that combinations of environmental variables are effective surrogates for biodiversity attributes. The question remains of how to fill gaps in conservation systems efficiently. Conservation prioritization software can identify those areas outside existing conservation areas that contribute to the efficient covering of gaps in biodiversity features. We show how environmental gap analysis can be implemented using high-resolution information about environmental variables and ecosystem condition with the publicly available conservation prioritization software, Zonation. Our method is based on the conversion of combinations of environmental variables into biodiversity features. We also replicated the analysis by using Species Distribution Models (SDMs) as biodiversity features to evaluate the robustness and utility of our environment-based analysis. We apply the technique to a planning case study of the state of Victoria, Australia.

摘要

差距分析用于分析保护区网络及其对生物多样性的覆盖范围,从而确定可能需要通过额外的保护措施来填补的生物多样性代表性差距。差距分析已用于确定物种和生境类型的优先事项。当它被应用于识别环境变量覆盖范围的差距时,它体现了这样一种假设,即环境变量的组合是生物多样性属性的有效替代物。如何有效地填补保护系统中的空白仍然是一个问题。保护优先级排序软件可以识别现有保护区以外的那些有助于有效填补生物多样性特征差距的区域。我们展示了如何使用有关环境变量和生态系统状况的高分辨率信息,以及使用可公开获得的保护优先级排序软件 Zonation 来实施环境差距分析。我们的方法基于将环境变量组合转换为生物多样性特征。我们还使用物种分布模型(SDMs)作为生物多样性特征来复制分析,以评估我们基于环境的分析的稳健性和实用性。我们将该技术应用于澳大利亚维多利亚州的规划案例研究。

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