Removal modelling in ecology: A systematic review.

Removal modelling in ecology: A systematic review.
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DOI:
10.1371/journal.pone.0229965
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
McCrea R
McCrea R
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Rodriguez de Rivera O;McCrea R

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迁移模型是在80多年前提出的,作为估计未知种群规模的工具。最近,它们被用作控制非理想物种的管理行动的有效工具,或用于评估易位管理行动。虽然模型随着时间的推移而发展,但从本质上讲,数据收集的协议仍然是相似的:在每次采样时,都试图从研究区域捕获和移除个体。在本文中,我们回顾了迁移建模的文献,并强调了迁移数据分析的方法发展,以便为希望实施这些方法的生态学家提供统一的资源。为了更好地适应数据的重要特征,已经开发了用于删除数据的模型,我们将讨论模型实现所需假设的变化。这种类型的数据和相关模型的相对简单性意味着该方法仍然具有吸引力,我们讨论了该技术的潜在未来作用。
Removal models were proposed over 80 years ago as a tool to estimate unknown population size. More recently, they are used as an effective tool for management actions for the control of non desirable species, or for the evaluation of translocation management actions. Although the models have evolved over time, in essence, the protocol for data collection has remained similar: at each sampling occasion attempts are made to capture and remove individuals from the study area. Within this paper we review the literature of removal modelling and highlight the methodological developments for the analysis of removal data, in order to provide a unified resource for ecologists wishing to implement these approaches. Models for removal data have developed to better accommodate important features of the data and we discuss the shift in the required assumptions for the implementation of the models. The relative simplicity of this type of data and associated models mean that the method remains attractive and we discuss the potential future role of this technique.
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