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首页> 外文期刊>Conservation Biology >Effectiveness of environmental surrogates for the selection of conservation area networks
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Effectiveness of environmental surrogates for the selection of conservation area networks

机译：环境替代对选择保护区网络的有效性

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Rapid biodiversity assessment and conservation planning require the use of easily quantified and estimated surrogates for biodiversity. Using data sets from Quebec and Queensland, we applied four methods to assess the extent to which environmental surrogates can represent biodiversity components: (1) surrogacy graphs; (2) marginal representation plots; (3) Hamming distance function; and (4) Syrjala statistical test for spatial congruence. For Quebec we used 719 faunal and floral species as biodiversity components, and for Queensland eve used 2348 plant species. We used four climatic parameter types (annual mean temperature, minimum temperature during the coldest quarter, maximum temperature during the hottest quarter, and annual precipitation), along with slope, elevation, aspect, and soil types, as environmental surrogates. To stud); the effect of scale, we analyzed the data at seven spatial scales ranging from 0.01 to 0.10 degrees longitude and latitude. At targeted representations of 10% for environmental surrogates and biodiversity components, all four methods indicated that using a full set of environmental surrogates systematically provided better results than selecting areas at random, usually ensuring that >= 90% of the biodiversity components achieved the 10% targets at scales coarser than 0.02 degrees. The performance of surrogates improved with coarser spatial resolutions. Thus, environmental surrogate sets are useful tools for biodiversity conservation planning. A recommended protocol for the use of such surrogates consists of randomly selecting a set of areas for which distributional data are available, identifying an optimal surrogate set based on these areas, and subsequently prioritizing places for conservation based on the optimal surrogate set.
机译：快速的生物多样性评估和保护规划要求使用易于量化和估计的生物多样性替代物。利用来自魁北克和昆士兰州的数据集，我们应用了四种方法来评估环境替代物可以代表生物多样性成分的程度：（1）替代物图; （2）边际代表图; （3）汉明距离功能; （4）Syrjala空间一致性统计检验。对于魁北克，我们使用了719种动植物和花卉作为生物多样性组成部分，对于昆士兰前夕，我们使用了2348种植物。我们使用四种气候参数类型（年平均温度，最冷季的最低温度，最热季的最高温度和年降水量）以及坡度，海拔，纵横比和土壤类型作为环境替代指标。饰）受尺度的影响，我们在经度和纬度为0.01到0.10度的七个空间尺度上分析了数据。在针对环境替代物和生物多样性成分的目标表示为10％的情况下，所有四种方法均表明，与随机选择区域相比，使用全套环境替代物系统地提供了更好的结果，通常确保> = 90％的生物多样性成分实现了10％目标的尺度大于0.02度。代理的性能随着较粗的空间分辨率而提高。因此，环境替代集是进行生物多样性保护规划的有用工具。使用此类替代物的推荐协议包括随机选择可用于其分布数据的一组区域，基于这些区域识别最佳替代物集，然后基于最佳替代物集优先进行保护。

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