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Do species distribution models predict species richness in urban and natural green spaces? A case study using amphibians.

机译:物种分布模型是否可以预测城市和天然绿色空间中的物种丰富度?使用两栖动物的案例研究。

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Urban green spaces are potentially important to biodiversity conservation because they could provide patches of high quality habitat or connectivity to nearby habitat. Presence-only species distribution models (SDMs) represent a potential tool for assessing the biodiversity value of urban green space; however, there is limited research to validate SDM results with field surveys to see if the predictions accurately represent observed species richness. We generated a range of SDMs using multiple suitability thresholds for 23 species of amphibians that occur in southwest, Ohio, USA. The distributions were overlaid to enumerate species richness. We surveyed 20 sites for amphibian species to evaluate model predictions. Our models over-predicted species richness relative to survey data. For example, we observed a mean pairwise difference of 14 species between models of species richness and observed values. Our results suggest either SDMs built with landscape variables we selected did not represent accurately amphibian richness, or the amphibian surveys did not detect all species present. Analyzing sites that had more than three sampling events suggests the explanation of inadequate sampling effort is only partially correct. Differences such as that between predicted and observed values of species richness is a challenge for land managers and conservation biologists that need a tool for modeling biodiversity. Species distribution models did project relative species richness well in urban and non-urban green space, which suggests this technique offers a spatially explicit way to identify more species rich areas and may help managers and conservation biologists manage systems with greater efficiency.
机译:城市绿地对于保护生物多样性具有潜在的重要意义,因为它们可以提供高质量的栖息地或与附近栖息地的连通性。仅存在的物种分布模型(SDM)是评估城市绿地生物多样性价值的潜在工具;但是,只有很少的研究可以通过实地调查来验证SDM结果,以查看预测是否准确地代表了观察到的物种丰富度。我们使用多个适用性阈值针对美国西南部西南部发生的23种两栖动物生成了一系列SDM。覆盖分布以枚举物种丰富度。我们调查了两栖动物的20个地点,以评估模型预测。我们的模型相对于调查数据过度预测了物种丰富度。例如,我们观察到了物种丰富度模型和观测值之间14种物种的平均成对差异。我们的结果表明,使用我们选择的景观变量构建的SDM不能准确表示两栖动物的丰富度,或者两栖动物调查并未发现存在的所有物种。分析具有三个以上采样事件的站点表明,采样工作量不足的解释仅部分正确。对于需要丰富的生物多样性建模工具的土地管理者和保护生物学家而言,物种丰富度预测值与观测值之间的差异是一项挑战。物种分布模型的确很好地预测了城市和非城市绿地中的相对物种丰富度,这表明该技术提供了一种空间明确的方式,可以识别更多物种丰富的地区,并可以帮助管理人员和保护生物学家更高效地管理系统。

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