Inconsistent detection of extinction debts using different methods
Inconsistent detection of extinction debts using different methods
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DOI：
10.1111/ecog.05344
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发表时间：
2020-10
期刊：
影响因子：
5.9
通讯作者：
Lucy E. Ridding;A. Newton;S. Keith;R. Walls;A. Diaz;R. Pywell;J. Bullock
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文献类型：
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作者：
Lucy E. Ridding;A. Newton;S. Keith;R. Walls;A. Diaz;R. Pywell;J. Bullock
© 2020 作者。生态学由 John Wiley & Sons Ltd 代表北欧 Oikos 协会出版 灭绝债务，即景观退化导致物种灭绝延迟，是一个被广泛讨论的概念。但由于方法的多样性和栖息地之间缺乏比较，人们无法就灭绝债的普遍程度达成共识。我们应用了三种对比的物种-面积关系方法来测试上个世纪具有不同退化历史的三个生境中的植物群落灭绝债：钙质草原、石南地和林地。这些方法的数据要求不同，前两种方法使用过去和当前栖息地面积以及当前物种丰富度的信息，而最后一种方法还需要过去物种丰富度的数据。数据最密集，因此可以说是最可靠的方法，确定了所有栖息地中特殊物种的灭绝债，而其他方法却没有。所有方法都检测到钙质草原的灭绝债，该草原经历了最严重的退化。我们的结论是，一些方法未能检测到灭绝债，特别是在经历了中度退化的栖息地中。最可靠的方法需要有关过去物种数量的数据；由于此类数据很少，灭绝债务可能被低估。
© 2020 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos The extinction debt, delayed species extinctions following landscape degradation, is a widely discussed concept. But a consensus about the prevalence of extinctions debts is hindered by a multiplicity of methods and a lack of comparisons among habitats. We applied three contrasting species–area relationship methods to test for plant community extinction debts in three habitats which had different degradation histories over the last century: calcareous grassland, heathland and woodland. These methods differ in their data requirements, with the first two using information on past and current habitat area alongside current species richness, whilst the last method also requires data on past species richness. The most data-intensive, and hence arguably most reliable method, identified extinction debts across all habitats for specialist species, whilst the other methods did not. All methods detected an extinction debt in calcareous grassland, which had undergone the most severe degradation. We conclude that some methods failed to detect an extinction debt, particularly in habitats that have undergone moderate degradation. Data on past species numbers are required for the most reliable method; as such data are rare, extinction debts may be under-reported.