A mark-recapture approach to estimating population density from continuous trapping data: application to edible crabs, Cancer pagurus, on the east coast of England
A mark-recapture approach to estimating population density from continuous trapping data: application to edible crabs, Cancer pagurus, on the east coast of England
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根据连续诱捕数据估计种群密度的标记重捕获方法：应用于英格兰东海岸的食用蟹（巨蟹座）
DOI：
10.1016/j.fishres.2003.09.026
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发表时间：
2003
影响因子：
2.4
通讯作者：
J. Addison
中科院分区：
文献类型：
--
作者：
M.C Bell;D.R Eaton;R. Bannister;J. Addison
我们开发了一个标记-再捕获方法来估计种群密度从连续诱捕数据。该方法具有灵活性，以允许在真实的现场实验中遇到的采样困难，如不平等的采样间隔和不完整的齿轮采样。描述了一个短期的标记-再捕获实验，目的是估计密度的食用蟹，癌症pagurus，离岸银行关闭英国东海岸。3000多只螃蟹被涂上油漆，并使用标准商业设计的诱饵陷阱进行取样。我们应用标记-再捕获模型来估计捕获概率和对实验捕获区域的保真度，从而从总捕获量数据估计当地种群的大小。在2.3平方公里的捕获区域内，估计有4800只螃蟹，估计密度为2100只螃蟹/平方公里。Bootstrapping是用来表明，时间变化是更重要的比空间变化作为一个组成部分的密度估计的不确定性。实验渔获量数据被用来推断陷阱浸泡时间和有效捕捞努力量之间的关系。密度估计被证明是强大的不确定性，这种关系。在人口水平上的密度估计的解释问题进行了讨论。
We develop a mark-recapture approach to estimate population density from continuous trapping data. The method incorporates flexibility to allow for sampling difficulties encountered in real field experiments, such as unequal sampling intervals and incomplete sampling of the gear. A short-term mark-recapture experiment is described, aimed at estimating density of edible crabs, Cancer pagurus, on an offshore bank off the English east coast. More than 3000 crabs were marked with paint and sampled using baited traps of standard commercial design. We apply the mark-recapture model to estimate probabilities of capture and fidelity to the experimental capture area, and thereby estimate the size of the local population from the total catch data. A local population of 4800 crabs is estimated to exist in a capture area of 2.3km2, giving an estimated density of 2100crabs/km2. Bootstrapping is used to show that temporal variation is much more important than spatial variation as a component of uncertainty in density estimates. Experimental catch data are used to draw inferences about the relationship between trap soak time and effective fishing effort. Density estimates are shown to be robust to uncertainty about this relationship. Problems of interpretation of density estimates at the population level are discussed.