A New Zealand demersal fish classification using Gradient Forest models

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dc.contributor.author Stephenson, Fabrice
dc.contributor.author Leathwick, John R
dc.contributor.author Francis, Malcolm P
dc.contributor.author Lundquist, Carolyn J
dc.date.accessioned 2021-08-10T21:16:39Z
dc.date.available 2021-08-10T21:16:39Z
dc.date.issued 2019-9-9
dc.identifier.citation New Zealand Journal of Marine and Freshwater Research 54(1):1-26 09 Sep 2019
dc.identifier.issn 0028-8330
dc.identifier.uri https://hdl.handle.net/2292/55934
dc.description.abstract Spatial classifications of the environment have previously been used to characterise biodiversity and to facilitate management planning at large spatial scales. Such classifications are more likely to be adopted if they can demonstrate integration of real patterns in habitats or biotic assemblages, in addition to environment. A previous classification used Gradient Forest analysis to derive 30 classes based on demersal fish assemblage patterns and environmental gradients. Here we provide a detailed description of the similarities and differences in the environment and fish assemblages of classes resulting from an updated classification using the same methodology. Environmental differences were associated with varying levels of differences in the distributions of fish species. At broad spatial scales, assemblages are differentiated primarily according to oceanographic conditions such as temperature and depth; at finer scales, patterns in species assemblages are more closely associated with more localised environmental conditions such as productivity, sea-surface temperature gradients and tidal currents. The 30-group classification allows complex biodiversity information to be summarised in ways accessible to stakeholder and environmental managers. Given the hierarchical nature of the classification, there is considerable scope to use a larger number of groups for applications at regional to local scales.
dc.language en
dc.publisher Informa UK Limited
dc.relation.ispartofseries New Zealand Journal of Marine and Freshwater Research
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-nc-nd/4.0/
dc.subject Science & Technology
dc.subject Life Sciences & Biomedicine
dc.subject Physical Sciences
dc.subject Fisheries
dc.subject Marine & Freshwater Biology
dc.subject Oceanography
dc.subject Gradient Forest model
dc.subject environmental classification
dc.subject demersal fish assemblages
dc.subject environmental similarity
dc.subject biological similarity
dc.subject spatial management
dc.subject UPPER-SLOPE
dc.subject PATTERNS
dc.subject ASSEMBLAGES
dc.subject PREDICTION
dc.subject TURNOVER
dc.subject EAST
dc.subject SEAS
dc.subject 04 Earth Sciences
dc.subject 05 Environmental Sciences
dc.subject 06 Biological Sciences
dc.title A New Zealand demersal fish classification using Gradient Forest models
dc.type Journal Article
dc.identifier.doi 10.1080/00288330.2019.1660384
pubs.issue 1
pubs.begin-page 1
pubs.volume 54
dc.date.updated 2021-07-19T10:25:09Z
dc.rights.holder Copyright: The authors en
pubs.author-url http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000485424100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d
pubs.end-page 26
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Article
pubs.subtype Journal
pubs.elements-id 782718
dc.identifier.eissn 1175-8805
pubs.online-publication-date 2019-9-9

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