Spatial polychaeta habitat potential mapping using probabilistic models SCIE SCOPUS

DC Field Value Language
dc.contributor.author Choi, Jong-Kuk -
dc.contributor.author Oh, Hyun-Joo -
dc.contributor.author Koo, Bon Joo -
dc.contributor.author Ryu, Joo-Hyung -
dc.contributor.author Lee, Saro -
dc.date.accessioned 2020-04-20T07:43:48Z -
dc.date.available 2020-04-20T07:43:48Z -
dc.date.created 2020-01-28 -
dc.date.issued 2011-06-10 -
dc.identifier.issn 0272-7714 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/3858 -
dc.description.abstract The purpose of this study was to apply probabilistic models to the mapping of the potential polychaeta habitat area in the Hwangdo tidal flat, Korea. Remote sensing techniques were used to construct spatial datasets of ecological environments and field observations were carried out to determine the distribution of macrobenthos. Habitat potential mapping was achieved for two polychaeta species, Prionospio japonica and Prionospio pulchra, and eight control factors relating to the tidal macrobenthos distribution were selected. These included the intertidal digital elevation model (DEM), slope, aspect, tidal exposure duration, distance from tidal channels, tidal channel density, spectral reflectance of the near infrared (NIR) bands and surface sedimentary facies from satellite imagery. The spatial relationships between the polychaeta species and each control factor were calculated using a frequency ratio and weights-of-evidence combined with geographic information system (GIS) data. The species were randomly divided into a training set (70%) to analyze habitat potential using frequency ratio and weights-of-evidence, and a test set (30%) to verify the predicted habitat potential map. The relationships were overlaid to produce a habitat potential map with a polychaeta habitat potential (PHP) index value. These maps were verified by comparing them to surveyed habitat locations such as the verification data set. For the verification results, the frequency ratio model showed prediction accuracies of 77.71% and 74.87% for P. japonica and P. pulchra, respectively, while those for the weights-of-evidence model were 64.05% and 62.95%. Thus, the frequency ratio model provided a more accurate prediction than the weights-of-evidence model. Our data demonstrate that the frequency ratio and weights-of-evidence models based upon GIS analysis are effective for generating habitat potential maps of polychaeta species in a tidal flat. The results of this study can be applied towards conservation and management initiatives for the macrofauna of tidal flats. (C) 2011 Elsevier Ltd. All rights reserved. -
dc.description.uri 1 -
dc.language English -
dc.publisher ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD -
dc.subject INTERTIDAL SEDIMENTS -
dc.subject TIDAL FLATS -
dc.subject EXTRACTION -
dc.subject KOREA -
dc.subject GIS -
dc.subject USA -
dc.subject REPLACEMENT -
dc.subject RIVER -
dc.subject BAY -
dc.title Spatial polychaeta habitat potential mapping using probabilistic models -
dc.type Article -
dc.citation.endPage 105 -
dc.citation.startPage 98 -
dc.citation.title ESTUARINE COASTAL AND SHELF SCIENCE -
dc.citation.volume 93 -
dc.citation.number 2 -
dc.contributor.alternativeName 최종국 -
dc.contributor.alternativeName 구본주 -
dc.contributor.alternativeName 유주형 -
dc.identifier.bibliographicCitation ESTUARINE COASTAL AND SHELF SCIENCE, v.93, no.2, pp.98 - 105 -
dc.identifier.doi 10.1016/j.ecss.2011.03.006 -
dc.identifier.scopusid 2-s2.0-79957481727 -
dc.identifier.wosid 000291907500002 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus INTERTIDAL SEDIMENTS -
dc.subject.keywordPlus TIDAL FLATS -
dc.subject.keywordPlus EXTRACTION -
dc.subject.keywordPlus KOREA -
dc.subject.keywordPlus GIS -
dc.subject.keywordPlus USA -
dc.subject.keywordPlus REPLACEMENT -
dc.subject.keywordPlus RIVER -
dc.subject.keywordPlus BAY -
dc.subject.keywordAuthor polychaeta -
dc.subject.keywordAuthor habitat mapping -
dc.subject.keywordAuthor probability theory -
dc.subject.keywordAuthor GIS -
dc.subject.keywordAuthor remote sensing -
dc.subject.keywordAuthor Korea -
dc.subject.keywordAuthor Chungcheongnam-do -
dc.subject.keywordAuthor Taean peninsula -
dc.subject.keywordAuthor Cheonsu bay -
dc.relation.journalWebOfScienceCategory Marine & Freshwater Biology -
dc.relation.journalWebOfScienceCategory Oceanography -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Marine & Freshwater Biology -
dc.relation.journalResearchArea Oceanography -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 1. Journal Articles
East Sea Research Institute > East Sea Environment Research Center > 1. Journal Articles
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