Macrobenthos habitat mapping in a tidal flat using remotely sensed data and a GIS-based probabilistic model.
作者： Jong-Kuk Choi , Hyun-Joo Oh , Bon Joo Koo , Saro Lee , Joo-Hyung Ryu
DOI: 10.1016/J.MARPOLBUL.2010.11.028
关键词: Geographic information system 、 Macrobenthos 、 Field (geography) 、 Physical geography 、 Probabilistic logic 、 Spatial database 、 Habitat 、 Statistical model 、 Benthos 、 Environmental science 、 Ecology
摘要: This paper proposes and tests a method of producing macrofauna habitat potential maps based on weights-of-evidence model (a probabilistic approach) for the Hwangdo tidal flat, Korea. Samples macrobenthos were collected during field work, we considered five mollusca species mapping. A was used to calculate relative weights 10 control factors that affect habitat. The compiled as spatial database from remotely sensed data combined with GIS analysis. weight each factor integrated index (SPI), which produced maps. compared surveyed locations, revealing strong correlation between locations. combination GIS-based remote sensing techniques is an effective in determining areas flat setting.
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