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Using landscape history to predict biodiversity patterns in fragmented landscapes

机译:利用景观历史预测零散景观中的生物多样性模式

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摘要

Landscape ecology plays a vital role in understanding the impacts of land-use change on biodiversity, but it is not a predictive discipline, lacking theoretical models that quantitatively predict biodiversity patterns from first principles. Here, we draw heavily on ideas from phylogenetics to fill this gap, basing our approach on the insight that habitat fragments have a shared history. We develop a landscape ‘terrageny’, which represents the historical spatial separation of habitat fragments in the same way that a phylogeny represents evolutionary divergence among species. Combining a random sampling model with a terrageny generates numerical predictions about the expected proportion of species shared between any two fragments, the locations of locally endemic species, and the number of species that have been driven locally extinct. The model predicts that community similarity declines with terragenetic distance, and that local endemics are more likely to be found in terragenetically distinctive fragments than in large fragments. We derive equations to quantify the variance around predictions, and show that ignoring the spatial structure of fragmented landscapes leads to over-estimates of local extinction rates at the landscape scale. We argue that ignoring the shared history of habitat fragments limits our ability to understand biodiversity changes in human-modified landscapes.
机译:景观生态学在理解土地利用变化对生物多样性的影响方面起着至关重要的作用,但它不是一门预测学科,缺乏从第一性原理定量预测生物多样性模式的理论模型。在这里,我们基于系统发育学的思想来填补这一空白,并基于对生境碎片具有共同历史的见解来进行研究。我们开发了一个景观“ terrageny”,它代表了栖息地碎片的历史空间分隔,就像系统发育代表了物种之间的进化差异一样。将随机采样模型与地物学相结合,可以生成关于两个部分之间共享的物种的预期比例,本地特有物种的位置以及已被本地灭绝的物种数量的数字预测。该模型预测,社区相似度会随着地形发生距离而下降,并且在地幔学上独特的地区比大型地区更容易发现地方特有物种。我们得出方程式以量化预测周围的方差,并表明忽略零散景观的空间结构会导致对景观尺度上局部灭绝速率的高估。我们认为,忽略栖息地碎片的共同历史限制了我们了解人类修饰景观中生物多样性变化的能力。

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