Mapping the potential distribution of shorebirds in Japan: the importance of landscape-level coastal geomorphology

摘要: Several recent studies have predicted potential habitats along coastal areas using large-scale physical environmental variables to identify target for conservation. However, no indices or methodologies predicting tidal-flat at a large spatial scale been developed. Tidal flats supporting populations of shorebirds identified in semi-enclosed seas. Thus, bays are probably important topographic units evaluating the locations shorebirds' non-breeding habitats. A GIS-based methodology was developed extract ‘bay units’ any from coastline data. Using three environment (the area bay scales, percentage shallow water each unit, and spring-tide range), it possible predict six shorebird species with high accuracy (AUC > 0.95, sensitivity >90%). Results showed that small- medium-scale best predictor habitats, followed by scale. This indicates size (scale) present highly related presence habitats. The prediction maps individual clearly differences distribution patterns species. These were overlaid potentially species-rich thus where conservation restoration tidal these would be important. The model, which uses simple data, is useful, resource-efficient method identifying across broad scales. Copyright © 2011 John Wiley & Sons, Ltd.