UMR BOREA, MNHN, IRD 207, CNRS 7208, UPMC, Muséum National d'Histoire Naturelle, 43 rue Cuvier, FR-75231, Paris Cedex, France.
Ecol Lett. 2017 May;20(5):591-598. doi: 10.1111/ele.12756. Epub 2017 Mar 16.
A new model of delayed species loss (extinction debt) within isolated communities is applied to a large data set of terrestrial vertebrate assemblages (n = 188) occupying habitat fragments or islands varying greatly in size and age. The model encapsulates previous approaches based on diversity-dependent (DD) extinction rates while allowing for a more flexible treatment of temporal dynamics. Three important results emerge. First, species loss rate slows down with the age of the isolate, a strong and general pattern largely unnoticed so far. Secondly, while being good candidates in the light of previous works, DD models fail to account for this pattern, a result that necessitates a search for other mechanisms. Thirdly, a simple diversity-independent model based on area (converted into population size) and age explains 97% of the variability in species loss rate and appears to be a promising predictive tool to handle extinction debt following habitat loss.
一种新的隔离种群物种灭绝滞后模型(灭绝债务)应用于一个大型的陆地脊椎动物组合数据集(n=188),这些组合占据的生境片段或岛屿在大小和年龄上差异很大。该模型包含了基于多样性依赖(DD)灭绝率的先前方法,同时允许更灵活地处理时间动态。三个重要的结果出现了。首先,随着隔离时间的增加,物种灭绝率会减缓,这是一个迄今为止很大程度上被忽视的强烈而普遍的模式。其次,尽管根据之前的工作,DD 模型是很好的候选模型,但它们无法解释这种模式,这一结果需要寻找其他机制。第三,一个基于面积(转化为种群规模)和年龄的简单的与多样性无关的模型解释了 97%的物种灭绝率的可变性,并且似乎是一个很有前途的预测工具,可以用来处理生境丧失后导致的灭绝债务。