期刊
FRONTIERS IN MARINE SCIENCE
卷 4, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2017.00098
关键词
mesophotic coral ecosystems; BRUVS; fish assemblages; functional groups; depth refugia; endemism; Main Hawaiian Islands
资金
- National Oceanic and Atmospheric Administration (NOAA)
- Pacific Islands Fisheries Science Center (PIFSC) Director's Office
- University of Western Australia
- Curtin University
- IPRS/APA Scholarship
- NOAA Coral Reef Conservation Program
- NOAA PIFSC Ecosystem Sciences Division, Science Operations Division
- Pacific Young Scientists Opportunity Program
- National Marine Fisheries Service
- Ecosystem Sciences Division
- Science Operations Division
- Fisheries Research and Monitoring Division
Mesophotic coral ecosystem (MCE) research has increased considerably in recent years, as MCEs may provide partial insulation from the effects of climate change, localized anthropogenic stressors, and may dampen fishing pressures for target species depleted in shallower waters. However, few studies have examined coral reef fish assemblages and functional groups across shallow water to mesophotic depth gradients. In the Main Hawaiian Islands, we investigated coral reef fish communities between 0 and 100 m using baited remote underwater stereo-video. While significant community shifts were detected when transitioning from shallow water to mesophotic depths, relative abundance and species richness remained highest between 0 and 30 m. Mobile invertivores and generalist macropiscivores were exceptions, recording higher abundance and richness values in deeper waters. Depth, habitat complexity, and percent cover of unconsolidated sediment and macroalgae were the main reef fish community drivers in multivariate regression and distance-based linear models. Finally, several target species were more abundant and/or larger in deeper waters, suggesting stock assessment and resource management strategies are incomplete without the incorporation of mesophotic portions of stocks.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据