Changes in the analysis of temporal community dynamics data: a 29-year literature review.

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dc.contributor.author Buckley, Hannah L
dc.contributor.author Day, Nicola J
dc.contributor.author Lear, Gavin
dc.contributor.author Case, Bradley S
dc.coverage.spatial United States
dc.date.accessioned 2022-05-11T21:40:38Z
dc.date.available 2022-05-11T21:40:38Z
dc.date.issued 2021-01
dc.identifier.citation (2021). PEERJ, 9, e11250-.
dc.identifier.issn 2167-8359
dc.identifier.uri https://hdl.handle.net/2292/59194
dc.description.abstract <h4>Background</h4>Understanding how biological communities change over time is of increasing importance as Earth moves into the Anthropocene. A wide variety of methods are used for multivariate community analysis and are variously applied to research that aims to characterise temporal dynamics in community composition. Understanding these methods and how they are applied is useful for determining best practice in community ecology.<h4>Methodology</h4>We reviewed the ecological literature from 1990 to 2018 that used multivariate methods to address questions of temporal community dynamics. For each paper that fulfilled our search criteria, we recorded the types of multivariate analysis used to characterise temporal community dynamics in addition to the research aim, habitat type, location, taxon and the experimental design.<h4>Results</h4>Most studies had relatively few temporal replicates; the median number was seven time points. Nearly 70% of studies applied more than one analysis method; descriptive methods such as bar graphs and ordination were the most commonly applied methods. Surprisingly, the types of analyses used were only related to the number of temporal replicates, but not to research aim or any other aspects of experimental design such as taxon, or habitat or year of study.<h4>Conclusions</h4>This review reveals that most studies interested in understanding community dynamics use relatively short time series meaning that several, more sophisticated, temporal analyses are not widely applicable. However, newer methods using multivariate dissimilarities are growing in popularity and many can be applied to time series of any length.
dc.format.medium Electronic-eCollection
dc.language eng
dc.publisher PeerJ
dc.relation.ispartofseries PeerJ
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Biological communities
dc.subject Community dynamics
dc.subject Community ecology
dc.subject Descriptive analysis
dc.subject Multivariate analysis
dc.subject Quantitative analysis
dc.subject Spatiotemporal change
dc.subject Time series
dc.subject Science & Technology
dc.subject Multidisciplinary Sciences
dc.subject Science & Technology - Other Topics
dc.subject BETA-DIVERSITY
dc.subject BIODIVERSITY CHANGE
dc.subject ECOLOGICAL RESEARCH
dc.subject BIRD COMMUNITIES
dc.subject FISH ASSEMBLAGES
dc.subject FREQUENCY
dc.subject STREAM
dc.subject HETEROGENEITY
dc.subject VARIABILITY
dc.subject GRASSLAND
dc.subject 06 Biological Sciences
dc.subject 11 Medical and Health Sciences
dc.title Changes in the analysis of temporal community dynamics data: a 29-year literature review.
dc.type Journal Article
dc.identifier.doi 10.7717/peerj.11250
pubs.begin-page e11250
pubs.volume 9
dc.date.updated 2022-04-11T21:37:05Z
dc.rights.holder Copyright: The author en
dc.identifier.pmid 33889452 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/33889452
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype research-article
pubs.subtype Journal Article
pubs.elements-id 851585
pubs.org-id Science
pubs.org-id Biological Sciences
dc.identifier.eissn 2167-8359
dc.identifier.pii 11250
pubs.number e11250
pubs.record-created-at-source-date 2022-04-12
pubs.online-publication-date 2021-04-08


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