4.1 Article

TRAIT-DEPENDENT EXTINCTION LEADS TO GREATER EXPECTED BIODIVERSITY LOSS

期刊

SIAM JOURNAL ON DISCRETE MATHEMATICS
卷 26, 期 2, 页码 472-481

出版社

SIAM PUBLICATIONS
DOI: 10.1137/090776743

关键词

tree; Markov process; Ahlswede-Daykin inequality; Fortuin-Kasteleyn-Ginibre inequality; lattice; phylogenetic diversity

资金

  1. New Zealand Marsden Fund
  2. Allan Wilson Centre for Molecular Ecology and Evolution

向作者/读者索取更多资源

We use a classical combinatorial inequality to establish a Markov inequality for multivariate binary Markov processes on trees. We then apply this result, alongside the Fortuin-Kasteleyn-Ginibre (FKG) inequality, to compare the expected loss of biodiversity under two models of species extinction. One of these models is the generalized version of an earlier model in which extinction is influenced by some trait that can be classified into two states and which evolves on a tree according to a Markov process. Since more than one trait can affect the rates of species extinction, it is reasonable to allow, in the generalized model, k binary states that influence extinction rates. We compare this model to one that has matching marginal extinction probabilities for each species but for which the species extinction events are stochastically independent.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据