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标记重捕数据的合并种群参数。

Pooled population parameter from mark-recapture data.

作者信息

Hargrove J W, Borland C H

机构信息

Department of Veterinary Services, ODA Insect Pest Management Initiative, Causeway, Zimbabwe.

出版信息

Biometrics. 1994 Dec;50(4):1129-41.

PMID:7786993
Abstract

The reduced capture history (RCH), compiled from complete capture histories of uniquely marked animals, for a given pooling interval contains the same information as would be obtained from experiments where (i) a single sample lasts the duration of the pooling interval; (ii) an identical batch mark is applied to animals captured in a series of samples carried out during the pooling interval. For stationary populations, biases are calculated for the RCH estimates for all parameters in the Jolly-Seber (J-S) model. The results are verified using simulation. The biases are functions of the survival and capture probabilities and the degree of pooling; they are less than 5% for the total population, birth and survival rates, and probability of capture during the pooling interval if the mortality and capture probabilities do not exceed about 50% per pooling interval. The marked population, marked fraction, and probability of recapture cannot estimated directly by the RCH method but can be obtained iteratively from the bias formulae. The biases in other parameters can be reduced by the same procedure. Alternative estimates are derived that are not detectably biased, for any estimate, for mortality and capture probability up to about 60% per pooling period. The new estimates have higher sample variances than the RCH estimates, but for large populations with high mortalities and capture probabilities the difference is small.

摘要

从唯一标记动物的完整捕获历史中汇编的给定合并间隔的简化捕获历史(RCH),包含与以下实验相同的信息:(i)单个样本持续合并间隔的持续时间;(ii)在合并间隔期间进行的一系列样本中捕获的动物应用相同的批次标记。对于固定种群,计算Jolly-Seber(J-S)模型中所有参数的RCH估计值的偏差。使用模拟对结果进行验证。偏差是生存和捕获概率以及合并程度的函数;如果每个合并间隔的死亡率和捕获概率不超过约50%,则对于总人口、出生率和生存率以及合并间隔期间的捕获概率,偏差小于5%。标记种群、标记比例和再捕获概率不能通过RCH方法直接估计,但可以从偏差公式中迭代获得。其他参数的偏差可以通过相同的程序降低。对于每个合并期死亡率和捕获概率高达约60%的任何估计,推导了无明显偏差的替代估计值。新估计值的样本方差比RCH估计值高,但对于具有高死亡率和捕获概率的大种群,差异很小。

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