Integration of mark–recapture and acoustic detections for unbiased population estimation in animal communities

Jarrett, C., Haydon, D. T. , Morales, J. M., Ferreira, D. F., Forzi, F. A., Welch, A. J., Powell, L. L. and Matthiopoulos, J. (2022) Integration of mark–recapture and acoustic detections for unbiased population estimation in animal communities. Ecology, (doi: 10.1002/ecy.3769) (PMID:35620844) (Early Online Publication)

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Abstract

Abundance estimation methods that combine several types of data are becoming increasingly common because they yield more accurate and precise parameter estimates and predictions than are possible from a single data source. These beneficial effects result from increasing sample size (through data pooling) and complementarity between different data types. Here, we test whether integrating mark–recapture data with passive acoustic detections into a joint likelihood improves estimates of population size in a multi-guild community. We compared the integrated model to a mark–recapture-only model using simulated data first and then using a dataset of mist-net captures and acoustic recordings from an Afrotropical agroforest bird community. The integrated model with simulated data improved accuracy and precision of estimated population size and detection parameters. When applied to field data, the integrated model was able to produce, for each bird guild, ecologically plausible estimates of population size and detection parameters, with more precision compared with the mark–recapture model. Overall, our results show that adding acoustic data to mark–recapture analyses improves estimates of population size. With the increasing availability of acoustic recording devices, this data collection technique could readily be added to routine field protocols, leading to a cost-efficient improvement of traditional mark–recapture population estimation.

Item Type:Articles
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Powell, Dr Luke and Haydon, Professor Daniel and Matthiopoulos, Professor Jason and Jarrett, Ms Crinan and Morales, Dr Juan
Authors: Jarrett, C., Haydon, D. T., Morales, J. M., Ferreira, D. F., Forzi, F. A., Welch, A. J., Powell, L. L., and Matthiopoulos, J.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Medical Veterinary and Life Sciences > School of Life Sciences
College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Ecology
Publisher:Wiley
ISSN:0012-9658
ISSN (Online):1939-9170
Published Online:27 May 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Ecology 2022
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.6084/m9.figshare.15825111.v1

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
301897CHOCOLATE4LIFEJason MatthiopoulosEuropean Commission (EC)797203Institute of Biodiversity, Animal Health and Comparative Medicine