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Habitat type richness associations with environmental variables: a case study in the Greek Natura 2000 aquatic ecosystems

机译:生境类型丰富度与环境变量的关联:以希腊纳图拉2000年水生生态系统为例

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We investigated the potential associations of habitat type richness patterns with a series of environmental variables in 61 protected aquatic ecosystems of the Greek Natura 2000 network. Habitat type classification followed the Natura 2000 classification scheme. Habitat type richness was measured as the number of different habitat types in an area. To overcome a potential area effect in quantifying habitat type richness, we applied the “moving window” technique. The environmental variables were selected to account for some of the major threats to biodiversity, such as fragmentation, habitat loss and climate change. We run GLMs to associate habitat type richness with different combinations of climatic, spatial and topographic variables. Habitat type richness seemed to significantly associate with climatic variables, more than spatial or topographic ones. In particular, for the climatic ones, the importance of precipitation surpassed that of temperature and especially the precipitation of the wettest and driest month had a limiting contribution to richness unlike average climate estimators. Moreover, the landscape’s latitude and longitude and fragmentation were significantly associated to richness. Our findings are in accordance to those observed in recent literature at lower (i.e. species) levels of ecological organization, fact showing that large-scale phenomena (such as climate change) can also be observed at the habitat type level, at least in our case. Thus, following the context of the Habitats Directive (92/43/EEC), that habitat types and not solely species of community interest should be protected and restored, this study serves as a first step towards investigating habitat type richness patterns.
机译:我们调查了希腊Natura 2000网络中61个受保护的水生生态系统中栖息地类型丰富度模式与一系列环境变量之间的潜在联系。栖息地类型分类遵循Natura 2000分类方案。栖息地类型的丰富度以一个地区中不同栖息地类型的数量来衡量。为了克服量化生境类型丰富度的潜在面积效应,我们应用了“移动窗口”技术。选择环境变量是为了说明对生物多样性的一些主要威胁,例如破碎化,生境丧失和气候变化。我们运行GLM来将栖息地类型的丰富性与气候,空间和地形变量的不同组合相关联。生境类型的丰富性似乎与气候变量显着相关,而不是与空间或地形相关。特别是对于气候气候而言,降水的重要性超过了温度,尤其是最湿,最干燥月份的降水对丰富度的贡献有限,这与平均气候估算方法不同。此外,景观的纬度,经度和破碎与丰富度显着相关。我们的发现与近期文献在生态组织的较低(即物种)水平上观察到的结果一致,这一事实表明,至少在我们的案例中,也可以在栖息地类型水平上观察到大规模现象(例如气候变化) 。因此,根据《生境指令》(92/43 / EEC)的规定,应该保护和恢复生境类型,而不仅仅是社区关注的物种,这项研究是研究生境类型丰富度模式的第一步。

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