Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model
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Title
- Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model
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Author(s)
- Choi, Jong-Kuk; Oh, Hyun-Joo; Koo, Bon Joo; Lee, Saro; Ryu, Joo-Hyung
- KIOST Author(s)
- Choi, Jong Kuk(최종국); Koo, Bon Joo(구본주); Ryu, Joo Hyung(유주형)
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Alternative Author(s)
- 최종국; 구본주; 유주형
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Publication Year
- 2011-03
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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.
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ISSN
- 0025-326X
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/3912
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DOI
- 10.1016/j.marpolbul.2010.11.028
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Bibliographic Citation
- MARINE POLLUTION BULLETIN, v.62, no.3, pp.564 - 572, 2011
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Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
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Subject
- SUSCEPTIBILITY; USA; LANDSLIDES; KOREA; RIVER
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Keywords
- Habitat mapping; Tidal flat; Mollusca; Weights-of-evidence; Geographic information system (GIS); Remote sensing
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Type
- Article
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Language
- English
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Document Type
- Article
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