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Removal modelling in ecology: A systematic review

Rodríguez De Rivera, Óscar, McCrea, Rachel S. (2021) Removal modelling in ecology: A systematic review. PLOS ONE, 16 (3). Article Number e0229965. ISSN 1932-6203. (doi:10.1371/journal.pone.0229965) (KAR id:86961)

Abstract

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.

Item Type: Article
DOI/Identification number: 10.1371/journal.pone.0229965
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Rachel McCrea
Date Deposited: 05 Mar 2021 12:15 UTC
Last Modified: 14 Nov 2022 23:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/86961 (The current URI for this page, for reference purposes)

University of Kent Author Information

Rodríguez De Rivera, Óscar.

Creator's ORCID: https://orcid.org/0000-0002-2754-4265
CReDIT Contributor Roles:

McCrea, Rachel S..

Creator's ORCID: https://orcid.org/0000-0002-3813-5328
CReDIT Contributor Roles:
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