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当估计数量时,考虑检测异质性的重要性:以法国狼为例。

Importance of accounting for detection heterogeneity when estimating abundance: the case of French wolves.

机构信息

Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175, Campus CNRS, 1919 Route de Mende, F-34293 Montpellier Cedex 5, France.

出版信息

Conserv Biol. 2010 Apr;24(2):621-6. doi: 10.1111/j.1523-1739.2009.01431.x. Epub 2010 Jan 22.

Abstract

Assessing conservation strategies requires reliable estimates of abundance. Because detecting all individuals is most often impossible in free-ranging populations, estimation procedures have to account for a <1 detection probability. Capture-recapture methods allow biologists to cope with this issue of detectability. Nevertheless, capture-recapture models for open populations are built on the assumption that all individuals share the same detection probability, although detection heterogeneity among individuals has led to underestimating abundance of closed populations. We developed multievent capture-recapture models for an open population and proposed an associated estimator of population size that both account for individual detection heterogeneity (IDH). We considered a two-class mixture model with weakly and highly detectable individuals to account for IDH. In a noninvasive capture-recapture study of wolves we based on genotypes identified in feces and hairs, we found a large underestimation of population size (27% on average) occurred when IDH was ignored.

摘要

评估保护策略需要可靠的数量估计。由于在自由放养的种群中通常不可能检测到所有个体,因此估计程序必须考虑到 <1 的检测概率。捕获-再捕获方法使生物学家能够应对这种可检测性问题。然而,开放种群的捕获-再捕获模型是建立在所有个体具有相同检测概率的假设之上的,尽管个体之间的检测异质性导致对封闭种群数量的低估。我们为开放种群开发了多事件捕获-再捕获模型,并提出了一种与个体检测异质性(IDH)相关的种群大小估计值。我们考虑了一个具有弱和高可检测个体的两类混合模型,以解释 IDH。在一项基于粪便和毛发中鉴定的基因型的非侵入性狼的捕获-再捕获研究中,我们发现当忽略 IDH 时,种群数量会出现很大的低估(平均 27%)。

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