title: Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model.
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.
authors.affiliation: Korea Ocean Satellite Centre, Korea Ocean Research and Development Institute, 454 Haean-no, Sangrok-gu, Ansan, Gyeonggi 426-744, Republic of Korea.
authors.forename: Jong-Kuk
authors.initials: JK
authors.lastname: Choi
authors.forename: Hyun-Joo
authors.initials: HJ
authors.lastname: Oh
authors.forename: Bon Joo
authors.initials: BJ
authors.lastname: Koo
authors.forename: Saro
authors.initials: S
authors.lastname: Lee
authors.forename: Joo-Hyung
authors.initials: JH
authors.lastname: Ryu
mesh_terms: D000818:Animals; D044822:Biodiversity; D018533:Biomass; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D015233:Models, Statistical; D008974:Mollusca / Q000145:classification* / Q000254:growth & development; D011156:Population Density; D058998:Remote Sensing Technology