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Towards an understanding of the drivers of broad-scale patterns of rarity-weighted richness for vertebrates

机译:了解对脊椎动物的罕见加权丰富性的广泛模式的驱动因素

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To combat biodiversity loss, conservation planners prioritize sites with high complementarity (ability to represent all or most species in a few sites), but little work has been done to understand the traits that influence site complementarity. Here we focus on the drivers of rarity-weighted richness (RWR), a metric of site endemism that has previously been demonstrated to be a reliable metric of site complementarity. Our aims are to assess how environmental variables individually contribute to explaining global patterns of RWR. After quantifying RWR for 18,020 terrestrial grid cells for amphibians, reptiles, birds and mammals, we used random forest models to identify associations between RWR and predictors reflecting current environment (topography, soils, climate), evolutionary history, and human footprint. Slope, long known to affect plant diversity, had strongest positive association with RWR values for amphibians, birds and mammals; human footprint was the primary driver of RWR for reptiles. RWR increased with slope, levels of human impact, diurnal temperature oscillation, land cover diversity, actual evapotranspiration, and cold season precipitation, Surprisingly, RWR increased with human footprint, perhaps because human activities cause species to have small ranges or because human activities and small-ranged species tend to occur under the same environmental conditions. Our study provides evidence that climate variables, including both temperature and precipitation-well known to drive patterns of species richness-also generate and maintain gradients of RWR at a global scale. As climate changes in the coming decades, regions of high RWR might also change, depending on the extent to which the spatial patterns of climate also change. Elucidating the patterns of RWR may improve the way in which sites are prioritized, so that all or most species can be conserved in affordable areas.
机译:为了打击生物多样性损失,保护规划者优先考虑具有高互补性的网站(在几个站点中代表所有或大多数物种),但是已经完成了很少的工作来理解影响现场互补性的特征。在这里,我们专注于稀有加权丰富(RWR)的驱动因素,该网站专门的度量是先前被证明是现场互补性的可靠度量。我们的目标是评估环境变量如何单独做出贡献,以解释RWR的全局模式。在量化RWR为两栖动物,爬行动物,鸟类和哺乳动物进行18,020个地面栅格细胞后,我们使用了随机森林模型来识别反映当前环境(地形,土壤,气候),进化历史和人类足迹之间的RWR和预测因子之间的关联。长期以来,长期影响植物多样性,与两栖动物,鸟类和哺乳动物的RWR值具有最强的积极关系;人类足迹是爬行动物的rwr的主要司机。 RWR增加了坡度,人类影响水平,昼夜温度振荡,土地覆盖多样性,实际蒸散和寒季降水,令人惊讶的是,RWR随人类足迹而增加,也许是因为人类活动导致物种具有小范围或者是人类活动和小型 - 在相同的环境条件下倾向于发生。我们的研究提供了一种有证据表明气候变量,包括温度和降水的熟悉熟悉的熟练众所周知的富人,也可以在全球范围内产生和维持RWR的梯度。随着未来几十年的气候变化,高速公路的地区也可能会改变,具体取决于气候的空间模式也发生变化的程度。阐明RWR的模式可以改善位置优先考虑的方式,因此所有或大多数物种都可以在经济实惠的区域中保守。

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