Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model SCIE SCOPUS
DC Field | Value | Language |
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dc.contributor.author | Choi, Jong-Kuk | - |
dc.contributor.author | Oh, Hyun-Joo | - |
dc.contributor.author | Koo, Bon Joo | - |
dc.contributor.author | Lee, Saro | - |
dc.contributor.author | Ryu, Joo-Hyung | - |
dc.date.accessioned | 2020-04-20T07:55:04Z | - |
dc.date.available | 2020-04-20T07:55:04Z | - |
dc.date.created | 2020-01-28 | - |
dc.date.issued | 2011-03 | - |
dc.identifier.issn | 0025-326X | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/3912 | - |
dc.description.abstract | This paper proposes and tests a method of producing macrofauna habitat potential maps based on a weights-of-evidence model (a probabilistic approach) for the Hwangdo tidal flat, Korea. Samples of macrobenthos were collected during field work, and we considered five mollusca species for habitat mapping. A weights-of-evidence model was used to calculate the relative weights of 10 control factors that affect the macrobenthos habitat. The control factors were compiled as a spatial database from remotely sensed data combined with GIS analysis. The relative weight of each factor was integrated as a species potential index (SPI), which produced habitat potential maps. The maps were compared with the surveyed habitat locations, revealing a strong correlation between the potential maps and species locations. The combination of a GIS-based weights-of-evidence model and remote sensing techniques is an effective method in determining areas of macrobenthos habitat potential in a tidal flat setting. (C) 2010 Elsevier Ltd. All rights reserved. | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | SUSCEPTIBILITY | - |
dc.subject | USA | - |
dc.subject | LANDSLIDES | - |
dc.subject | KOREA | - |
dc.subject | RIVER | - |
dc.title | Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model | - |
dc.type | Article | - |
dc.citation.endPage | 572 | - |
dc.citation.startPage | 564 | - |
dc.citation.title | MARINE POLLUTION BULLETIN | - |
dc.citation.volume | 62 | - |
dc.citation.number | 3 | - |
dc.contributor.alternativeName | 최종국 | - |
dc.contributor.alternativeName | 구본주 | - |
dc.contributor.alternativeName | 유주형 | - |
dc.identifier.bibliographicCitation | MARINE POLLUTION BULLETIN, v.62, no.3, pp.564 - 572 | - |
dc.identifier.doi | 10.1016/j.marpolbul.2010.11.028 | - |
dc.identifier.scopusid | 2-s2.0-79952193632 | - |
dc.identifier.wosid | 000288977300023 | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | SUSCEPTIBILITY | - |
dc.subject.keywordPlus | USA | - |
dc.subject.keywordPlus | LANDSLIDES | - |
dc.subject.keywordPlus | KOREA | - |
dc.subject.keywordPlus | RIVER | - |
dc.subject.keywordAuthor | Habitat mapping | - |
dc.subject.keywordAuthor | Tidal flat | - |
dc.subject.keywordAuthor | Mollusca | - |
dc.subject.keywordAuthor | Weights-of-evidence | - |
dc.subject.keywordAuthor | Geographic information system (GIS) | - |
dc.subject.keywordAuthor | Remote sensing | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Marine & Freshwater Biology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Marine & Freshwater Biology | - |