A global biogeographic classification of the mesopelagic zone. (August 2017)
- Record Type:
- Journal Article
- Title:
- A global biogeographic classification of the mesopelagic zone. (August 2017)
- Main Title:
- A global biogeographic classification of the mesopelagic zone
- Authors:
- Sutton, Tracey T.
Clark, Malcolm R.
Dunn, Daniel C.
Halpin, Patrick N.
Rogers, Alex D.
Guinotte, John
Bograd, Steven J.
Angel, Martin V.
Perez, Jose Angel A.
Wishner, Karen
Haedrich, Richard L.
Lindsay, Dhugal J.
Drazen, Jeffrey C.
Vereshchaka, Alexander
Piatkowski, Uwe
Morato, Telmo
Błachowiak-Samołyk, Katarzyna
Robison, Bruce H.
Gjerde, Kristina M.
Pierrot-Bults, Annelies
Bernal, Patricio
Reygondeau, Gabriel
Heino, Mikko - Abstract:
- Abstract: We have developed a global biogeographic classification of the mesopelagic zone to reflect the regional scales over which the ocean interior varies in terms of biodiversity and function. An integrated approach was necessary, as global gaps in information and variable sampling methods preclude strictly statistical approaches. A panel combining expertise in oceanography, geospatial mapping, and deep-sea biology convened to collate expert opinion on the distributional patterns of pelagic fauna relative to environmental proxies (temperature, salinity, and dissolved oxygen at mesopelagic depths). An iterative Delphi Method integrating additional biological and physical data was used to classify biogeographic ecoregions and to identify the location of ecoregion boundaries or inter-regions gradients. We define 33 global mesopelagic ecoregions. Of these, 20 are oceanic while 13 are 'distant neritic.' While each is driven by a complex of controlling factors, the putative primary driver of each ecoregion was identified. While work remains to be done to produce a comprehensive and robust mesopelagic biogeography (i.e., reflecting temporal variation), we believe that the classification set forth in this study will prove to be a useful and timely input to policy planning and management for conservation of deep-pelagic marine resources. In particular, it gives an indication of the spatial scale at which faunal communities are expected to be broadly similar in composition, andAbstract: We have developed a global biogeographic classification of the mesopelagic zone to reflect the regional scales over which the ocean interior varies in terms of biodiversity and function. An integrated approach was necessary, as global gaps in information and variable sampling methods preclude strictly statistical approaches. A panel combining expertise in oceanography, geospatial mapping, and deep-sea biology convened to collate expert opinion on the distributional patterns of pelagic fauna relative to environmental proxies (temperature, salinity, and dissolved oxygen at mesopelagic depths). An iterative Delphi Method integrating additional biological and physical data was used to classify biogeographic ecoregions and to identify the location of ecoregion boundaries or inter-regions gradients. We define 33 global mesopelagic ecoregions. Of these, 20 are oceanic while 13 are 'distant neritic.' While each is driven by a complex of controlling factors, the putative primary driver of each ecoregion was identified. While work remains to be done to produce a comprehensive and robust mesopelagic biogeography (i.e., reflecting temporal variation), we believe that the classification set forth in this study will prove to be a useful and timely input to policy planning and management for conservation of deep-pelagic marine resources. In particular, it gives an indication of the spatial scale at which faunal communities are expected to be broadly similar in composition, and hence can inform application of ecosystem-based management approaches, marine spatial planning and the distribution and spacing of networks of representative protected areas. Highlights: A biogeographic classification of the global mesopelagic zone comprising 33 ecoregions is presented. Ecoregions are grouped by major biomes, then described individually. This classification schema extends the depth range of our current biogeographical knowledge. Management and conservation applications of the proposed classification are discussed. … (more)
- Is Part Of:
- Deep sea research. Volume 126(2017)
- Journal:
- Deep sea research
- Issue:
- Volume 126(2017)
- Issue Display:
- Volume 126, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 126
- Issue:
- 2017
- Issue Sort Value:
- 2017-0126-2017-0000
- Page Start:
- 85
- Page End:
- 102
- Publication Date:
- 2017-08
- Subjects:
- Biodiversity -- Biogeographical ecoregions -- Oceanic biomes -- Gyres -- Oxygen minimum zones -- Upwelling
Oceanography -- Periodicals
Océanographie -- Périodiques
551.4605 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09670637 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.dsr.2017.05.006 ↗
- Languages:
- English
- ISSNs:
- 0967-0637
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3540.955500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4444.xml