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Using Rao's quadratic entropy to define environmental heterogeneity priority areas in the European Mediterranean biome
Biological Conservation ( IF 5.9 ) Pub Date : 2020-01-01 , DOI: 10.1016/j.biocon.2019.108366
Aggeliki Doxa , Poulicos Prastacos

Abstract Although environmental heterogeneity (EH) has recently gained increasing attention, its connection to conservation planning still remains limited. We aim to assess the efficiency of Rao's quadratic entropy for measuring EH and conducting prioritization schemes. We focus on EH priority areas in the European Mediterranean biome and we estimate to which extent they are included in national and international protected area networks. We estimate Rao and Shannon EH indices for the bioclimatic and topographic variables of the CHELSA and the ENVIREM datasets. We use systematic conservation planning algorithms, for each dataset and for several moving window extends and we estimate the overlaps among the different schemes. The Rao and Shannon EH indices do not measure EH levels in a similar way and Shannon indices tend to overestimate EH comparing to Rao. The overlaps between the ENVIREM and CHELSA prioritization schemes are moderate (Jaccard index = 0.4–0.6) and not sensitive to the moving window extend. We consider only the priority areas that are identified as such by both independent datasets. One third of the EH priority areas are located in Greece, one forth in Italy and one fifth in France and Spain. Only one third of the EH priority areas are located within nationally designated protected areas and up to half are located in Key Biodiversity Areas and the Natura 2000 network. We conclude that Rao's methodology should be further used for environmental heterogeneity analyses. EH priority conservation areas are only partially included in protected area networks, mostly in mountainous areas.

中文翻译:

使用 Rao 的二次熵来定义欧洲地中海生物群落中的环境异质性优先区域

摘要 尽管环境异质性(EH)最近受到越来越多的关注,但它与保护规划的联系仍然有限。我们的目标是评估 Rao 的二次熵在测量 EH 和进行优先级排序方面的效率。我们专注于欧洲地中海生物群落中的 EH 优先区域,并估计它们在多大程度上被包括在国家和国际保护区网络中。我们估计了 CHELSA 和 ENVIREM 数据集的生物气候和地形变量的 Rao 和 Shannon EH 指数。我们使用系统的保护规划算法,对于每个数据集和几个移动窗口扩展,我们估计不同方案之间的重叠。Rao 和 Shannon EH 指数不以类似的方式衡量 EH 水平,与 Rao 相比,Shannon 指数倾向于高估 EH。ENVIREM 和 CHELSA 优先级方案之间的重叠是中等的(Jaccard 指数 = 0.4-0.6)并且对移动窗口扩展不敏感。我们只考虑由两个独立数据集确定的优先领域。三分之一的 EH 优先领域位于希腊,四分之一位于意大利,五分之一位于法国和西班牙。只有三分之一的 EH 优先区域位于国家指定的保护区内,多达一半位于关键生物多样性区域和 Natura 2000 网络。我们得出结论,Rao 的方法应进一步用于环境异质性分析。
更新日期:2020-01-01
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