作者: I. Putra , M.I.H. , Setyawan , E. , Laglbauer
DOI: 10.1016/J.OCECOAMAN.2020.105328
关键词: Geography 、 International waters 、 Fishery 、 Seascape 、 Fisheries management 、 Habitat 、 Submarine pipeline 、 Predation 、 Multiple data 、 Spatial distribution
摘要: Abstract The Lesser Sunda Seascape (LSS) is considered one of the regions with largest mobulid fisheries in Indonesia, although their spatial distribution and habitat preference LSS still largely unknown. goal present study was to describe oceanic manta rays, spinetail devil Chilean rays coastal area LSS. We used multiple data sources ray sightings selected significant environmental predictors execute maximum entropy model. model performed well predicting indicated that sea-surface chlorophyll-a (SSC-a), temperature (SST), salinity (SSS), distance 200-m isobath, 3000-m slope were all distribution. This confirms areas close isobath higher concentration as proxy for prey density. Combining models activity records where these overlaps may represent key habitats. highlights a critical need species-specific populations-level management measures Indonesian whereas current MPA design has focused on broad-scale ecosystem approach, which have limited effectiveness practice. provides valuable information improvement tools, through modeling powerful means species’ distributions preference. recommend future efforts focus documenting incorporating from large-scale commercial improve our knowledge offshore high seas, assess versus