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基于矩阵校准的物种-面积模型预测土地利用变化导致的生物多样性损失。

A matrix-calibrated species-area model for predicting biodiversity losses due to land-use change.

机构信息

Institute of Terrestrial Ecosystems, ETH Zürich, CHN G 74.2, Universitätstrasse 16, 8092 Zürich, Switzerland.

出版信息

Conserv Biol. 2010 Aug;24(4):994-1001. doi: 10.1111/j.1523-1739.2010.01464.x. Epub 2010 Mar 5.

Abstract

Application of island biogeography theory to prediction of species extinctions resulting from habitat loss is based on the assumption that the transformed landscape matrix is completely inhospitable to the taxa considered, despite evidence demonstrating the nontrivial influence of matrix on populations within habitat remnants. The island biogeography paradigm therefore needs refining to account for specific responses of taxa to the area of habitat "islands" and to the quality of the surrounding matrix. We incorporated matrix effects into island theory by partitioning the slope (z value) of species-area relationships into two components: gamma, a constant, and sigma, a measure of taxon-specific responses to each component of a heterogeneous matrix. We used our matrix-calibrated model to predict extinction and endangerment of bird species resulting from land-use change in 20 biodiversity hotspots and compared these predictions with observed numbers of extinct and threatened bird species. We repeated this analysis with the conventional species-area model and the countryside species-area model, considering alternative z values of 0.35 (island) or 0.22 (continental). We evaluated the relative strength of support for each of the five candidate models with Akaike's information criterion (AIC). The matrix-calibrated model had the highest AIC weight (w(i) = 89.21%), which means the weight of evidence in support of this model was the optimal model given the set of candidate models and the data. In addition to being a valuable heuristic tool for assessing extinction risk, our matrix-calibrated model also allows quantitative assessment of biodiversity benefits (and trade-offs) of land-management options in human-dominated landscapes. Given that processes of secondary regeneration have become more widespread across tropical regions and are predicted to increase, our matrix-calibrated model will be increasingly appropriate for practical conservation in tropical landscapes.

摘要

应用岛屿生物地理学理论来预测由于栖息地丧失而导致的物种灭绝,是基于这样一种假设,即转化后的景观基质对所考虑的分类群完全不适宜,尽管有证据表明基质对栖息地残余物内的种群有重要影响。因此,岛屿生物地理学范式需要加以改进,以说明分类群对“岛屿”栖息地面积和周围基质质量的具体反应。我们通过将物种-面积关系的斜率(z 值)分为两个组成部分,将基质效应纳入岛屿理论:伽马,一个常数,和西格玛,一个衡量分类群对异质基质各组成部分的特定反应的度量。我们使用我们的基质校准模型来预测由于 20 个生物多样性热点地区的土地利用变化而导致的鸟类物种灭绝和濒危,并将这些预测与已观察到的灭绝和濒危鸟类物种数量进行比较。我们使用常规的物种-面积模型和乡村物种-面积模型,考虑到 0.35(岛屿)或 0.22(大陆)的替代 z 值,重复了这项分析。我们使用赤池信息量准则(AIC)评估了五个候选模型中每个模型的相对支持强度。基质校准模型的 AIC 权重最高(w(i) = 89.21%),这意味着在给定候选模型集和数据的情况下,该模型的证据权重是最优模型。除了作为评估灭绝风险的有价值的启发式工具外,我们的基质校准模型还允许对人类主导景观中土地管理方案的生物多样性效益(和权衡)进行定量评估。鉴于次生再生过程在热带地区变得更加普遍,并预计会增加,我们的基质校准模型将越来越适合热带景观的实际保护。

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