CMRnet: An R package to derive networks of social interactions and movement from mark‐recapture data
dc.contributor.author | Silk, MJ | |
dc.contributor.author | McDonald, RA | |
dc.contributor.author | Delahay, RJ | |
dc.contributor.author | Padfield, D | |
dc.contributor.author | Hodgson, DJ | |
dc.date.accessioned | 2020-10-16T08:36:50Z | |
dc.date.issued | 2020-10-08 | |
dc.description.abstract | 1. Long‐term capture‐mark‐recapture data provide valuable information on the movements of individuals between locations, and the contemporary and/or co‐located captures of individuals can be used to approximate the social structure of populations. 2. We introduce an R package (CMRnet) that generates social and movement networks from spatially‐explicit capture‐mark‐recapture data. It also provides functions for network and datastream permutations for these networks. Here we describe the package and key considerations for its application, providing two example case studies. 3. The conversion of spatially explicit mark‐recapture data into social and movement networks will provide insights into the interplay between demography and behaviour in wild animal populations, with important applications in their management and conservation. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | University of Exeter | en_GB |
dc.identifier.citation | Published online 8 October 2020 | en_GB |
dc.identifier.doi | 10.1111/2041-210x.13502 | |
dc.identifier.grantnumber | NE/M004546/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/123270 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley / British Ecological Society | en_GB |
dc.rights | © 2020 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | social network | en_GB |
dc.subject | movement network | en_GB |
dc.subject | multiplex network | en_GB |
dc.subject | demographic data | en_GB |
dc.subject | capture-mark-recapture | en_GB |
dc.title | CMRnet: An R package to derive networks of social interactions and movement from mark‐recapture data | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-10-16T08:36:50Z | |
dc.identifier.issn | 2041-210X | |
exeter.article-number | 2041-210X.13502 | en_GB |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.identifier.journal | Methods in Ecology and Evolution | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
exeter.funder | ::Natural Environment Research Council (NERC) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-10-08 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-10-16T08:33:11Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-10-16T08:37:06Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA |
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Except where otherwise noted, this item's licence is described as © 2020 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.