Spatial polychaeta habitat potential mapping using probabilistic models

摘要: Abstract The purpose of this study was to apply probabilistic models the mapping potential polychaeta habitat area in Hwangdo tidal flat, Korea. Remote sensing techniques were used construct spatial datasets ecological environments and field observations carried out determine distribution macrobenthos. Habitat achieved for two species, Prionospio japonica pulchra, eight control factors relating macrobenthos selected. These included intertidal digital elevation model (DEM), slope, aspect, exposure duration, distance from channels, channel density, spectral reflectance near infrared (NIR) bands surface sedimentary facies satellite imagery. relationships between the polychaeta species each factor calculated using a frequency ratio weights-of-evidence combined with geographic information system (GIS) data. randomly divided into training set (70%) analyze weights-of-evidence, test (30%) verify predicted map. overlaid produce map (PHP) index value. maps verified by comparing them surveyed locations such as verification data set. For results, showed prediction accuracies 77.71% 74.87% P. respectively, while those 64.05% 62.95%. Thus, provided more accurate than model. Our demonstrate that based upon GIS analysis are effective generating flat. results can be applied towards conservation management initiatives macrofauna flats.