首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Global habitat suitability of cold‐water octocorals
Authors:Chris Yesson  Michelle L Taylor  Derek P Tittensor  Andrew J Davies  John Guinotte  Amy Baco  Julie Black  Jason M Hall‐Spencer  Alex D Rogers
Institution:1. Institute of Zoology, Zoological Society of London, Regent’s Park, London NW1 4RY, UK;2. Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford, OX1 3PS, UK;3. United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, CB3 0DL, UK;4. Microsoft Research Computational Science Laboratory, Cambridge, CB3 0FB, UK;5. School of Ocean Sciences, Bangor University, Menai Bridge, LL59 5AB, Wales, UK;6. Marine Conservation Institute, 2122 112th Avenue NE, Suite B‐300, Bellevue, WA 98004‐2947, USA;7. Department of Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL 32306‐4320, USA;8. Marine Special Protection Areas team, JNCC Support Co, Inverdee House, Baxter Street, Aberdeen, AB11 9QA, Scotland, UK;9. Marine Biology and Ecology Research Centre, University of Plymouth, Drake Circus, Plymouth, PL4 8AA, UK
Abstract:Aim Three‐quarters of Octocorallia species are found in deep waters. These cold‐water octocoral colonies can form a major constituent of structurally complex habitats. The global distribution and the habitat requirements of deep‐sea octocorals are poorly understood given the expense and difficulties of sampling at depth. Habitat suitability models are useful tools to extrapolate distributions and provide an understanding of ecological requirements. Here, we present global habitat suitability models and distribution maps for seven suborders of Octocorallia: Alcyoniina, Calcaxonia, Holaxonia, Scleraxonia, Sessiliflorae, Stolonifera and Subselliflorae. Location Global. Methods We use maximum entropy modelling to predict octocoral distribution using a database of 12,508 geolocated octocoral specimens and 32 environmental grids resampled to 30 arc‐second (approximately 1 km2) resolution. Additionally, a meta‐analysis determined habitat preferences and niche overlap between the different suborders of octocorals. Results Suborder Sessiliflorae had the widest potential habitat range, but all records for all suborders implied a habitat preference for continental shelves and margins, particularly the North and West Atlantic and Western Pacific Rim. Temperature, salinity, broad scale slope, productivity, oxygen and calcite saturation state were identified as important factors for determining habitat suitability. Less than 3% of octocoral records were found in waters undersaturated for calcite, but this result is affected by a shallow‐water sampling bias. Main conclusions The logistical difficulties, expense and vast areas associated with deep‐sea sampling leads to a gap in the knowledge of faunal distributions that is difficult to fill without predictive modelling. Global distribution estimates are presented, highlighting many suitable areas which have yet to be studied. We suggest that approximately 17% of oceans are suitable for at least one suborder but 3.5% may be suitable for all seven. This is the first global habitat suitability modelling study on the distribution of octocorals and forms a useful resource for researchers, managers and conservationists.
Keywords:Calcite saturation state  conservation biogeography  habitat suitability modelling  marine conservation  Maxent  niche  Octocorallia  predictive modelling  vulnerable marine ecosystems
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号