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组合时间序列揭示了生物多样性的变化,但没有系统的损失。

Assemblage time series reveal biodiversity change but not systematic loss.

机构信息

Centre for Biological Diversity and Scottish Oceans Institute, School of Biology, University of St. Andrews, St. Andrews, Fife KY16 9TH, UK.

出版信息

Science. 2014 Apr 18;344(6181):296-9. doi: 10.1126/science.1248484.

Abstract

The extent to which biodiversity change in local assemblages contributes to global biodiversity loss is poorly understood. We analyzed 100 time series from biomes across Earth to ask how diversity within assemblages is changing through time. We quantified patterns of temporal α diversity, measured as change in local diversity, and temporal β diversity, measured as change in community composition. Contrary to our expectations, we did not detect systematic loss of α diversity. However, community composition changed systematically through time, in excess of predictions from null models. Heterogeneous rates of environmental change, species range shifts associated with climate change, and biotic homogenization may explain the different patterns of temporal α and β diversity. Monitoring and understanding change in species composition should be a conservation priority.

摘要

生物多样性在地方组合中的变化在多大程度上导致了全球生物多样性的丧失还不是很清楚。我们分析了来自地球各个生物群落的 100 个时间序列,以了解随着时间的推移,组合内的多样性是如何变化的。我们量化了时间 alpha 多样性的模式,其被定义为本地多样性的变化,以及时间 beta 多样性的模式,其被定义为群落组成的变化。与我们的预期相反,我们没有发现 alpha 多样性的系统性丧失。然而,群落组成随着时间的推移发生了系统性的变化,超出了零模型的预测。环境变化的不均匀速率、与气候变化相关的物种分布范围转移以及生物均质化可能解释了时间 alpha 和 beta 多样性的不同模式。监测和了解物种组成的变化应该是保护的优先事项。

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