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苏必利尔湖以南灰狼的种群统计学及组分阿利效应

Demographic and Component Allee Effects in Southern Lake Superior Gray Wolves.

作者信息

Stenglein Jennifer L, Van Deelen Timothy R

机构信息

Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

出版信息

PLoS One. 2016 Mar 1;11(3):e0150535. doi: 10.1371/journal.pone.0150535. eCollection 2016.

Abstract

Recovering populations of carnivores suffering Allee effects risk extinction because positive population growth requires a minimum number of cooperating individuals. Conservationists seldom consider these issues in planning for carnivore recovery because of data limitations, but ignoring Allee effects could lead to overly optimistic predictions for growth and underestimates of extinction risk. We used Bayesian splines to document a demographic Allee effect in the time series of gray wolf (Canis lupus) population counts (1980-2011) in the southern Lake Superior region (SLS, Wisconsin and the upper peninsula of Michigan, USA) in each of four measures of population growth. We estimated that the population crossed the Allee threshold at roughly 20 wolves in four to five packs. Maximum per-capita population growth occurred in the mid-1990s when there were approximately 135 wolves in the SLS population. To infer mechanisms behind the demographic Allee effect, we evaluated a potential component Allee effect using an individual-based spatially explicit model for gray wolves in the SLS region. Our simulations varied the perception neighborhoods for mate-finding and the mean dispersal distances of wolves. Simulation of wolves with long-distance dispersals and reduced perception neighborhoods were most likely to go extinct or experience Allee effects. These phenomena likely restricted population growth in early years of SLS wolf population recovery.

摘要

受到阿利效应影响的食肉动物种群在恢复过程中面临灭绝风险,因为种群正增长需要最少数量的合作个体。由于数据限制,保护主义者在规划食肉动物恢复计划时很少考虑这些问题,但忽视阿利效应可能导致对种群增长的过度乐观预测以及对灭绝风险的低估。我们使用贝叶斯样条法,在苏必利尔湖地区(SLS,美国威斯康星州和密歇根州上半岛)灰狼(Canis lupus)种群数量的时间序列(1980 - 2011年)中,通过四种种群增长指标记录了一种种群统计学上的阿利效应。我们估计,当种群中有四到五个狼群,大约20只狼时,种群越过了阿利阈值。人均种群增长最大值出现在20世纪90年代中期,当时SLS地区的灰狼数量约为135只。为了推断种群统计学阿利效应背后的机制,我们使用基于个体的空间明确模型评估了SLS地区灰狼潜在的组成部分阿利效应。我们的模拟改变了寻找配偶的感知邻域以及狼的平均扩散距离。模拟长距离扩散和缩小感知邻域的狼最有可能灭绝或经历阿利效应。这些现象可能在SLS地区灰狼种群恢复的早期限制了种群增长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a85/4801012/e3847370a629/pone.0150535.g001.jpg

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