Mesedez, erabili identifikatzaile hau item hau aipatzeko edo estekatzeko: http://dspace.azti.es/handle/24689/944
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Titulua: Future Ocean Observations to Connect Climate, Fisheries and Marine Ecosystems
Egilea: Schmidt, Joern O.; Bograd, Steven J.; Arrizabalaga, Haritz; Azevedo, Jose L.; Barbeaux, Steven J.; Barth, John A.; Boyer, Tim; Brodie, Stephanie; Jose Cardenas, Juan; Cross, Scott; Druon, Jean-Nobl; Fransson, Agneta; Hartog, Jason; Hazen, Elliott L.; Hobday, Alistair; Jacox, Michael; Karstensen, Johannes; Kupschus, Sven; Lopez, Jon; Madureira, Lauro A. S-P: Martinelli Filho, Jose E.; Miloslavich, Patricia; Santos, Catarina P.; Scales, Kylie; Speich, Sabrina; Sullivan, Matthew B.; Szoboszlai, Amber; Tommasi, Desiree; Wallace, Douglas; Zador, Stephani; Zawislak, Paulo Antonio
Laburpena: Advances in ocean observing technologies and modeling provide the capacity to revolutionize the management of living marine resources. While traditional fisheries management approaches like single-species stock assessments are still common, a global effort is underway to adopt ecosystem-based fisheries management (EBFM) approaches. These approaches consider changes in the physical environment and interactions between ecosystem elements, including human uses, holistically. For example, integrated ecosystem assessments aim to synthesize a suite of observations (physical, biological, socioeconomic) and modeling platforms [ocean circulation models, ecological models, short-term forecasts, management strategy evaluations (MSEs)] to assess the current status and recent and future trends of ecosystem components. This information provides guidance for better management strategies. A common thread in EBFM approaches is the need for high-quality observations of ocean conditions, at scales that resolve critical physical-biological processes and are timely for management needs. Here we explore options for a future observing system that meets the needs of EBFM by (i) identifying observing needs for different user groups, (ii) reviewing relevant datasets and existing technologies, (iii) showcasing regional case studies, and (iv) recommending observational approaches required to implement EBFM. We recommend linking ocean observing within the context of Global Ocean Observing System (GOOS) and other regional ocean observing efforts with fisheries observations, new forecasting methods, and capacity development, in a comprehensive ocean observing framework.
Gako-hitzak: Ecosystem Based Management; technology; data needs; capacity development; Integration of Ocean Observing Systems; DYNAMIC OCEAN; CARIBBEAN SEA; ATLANTIC; MANAGEMENT; SATELLITE; FISH; TUNA; FEATURES; PROGRAM; IMPACTS
Gordailuaren-data: 2019
Argitalpen: FRONTIERS MEDIA SA
Dokumentu mota: Review
Hizkuntza: 
DOI: 10.3389/fmars.2019.00550
URI: http://dspace.azti.es/handle/24689/944
E-ISSN: 2296-7745
Babeslea: Cluster of Excellence Future Ocean
Kiel Marine Science
European Union's Horizon 2020 Research and Innovation Program [633211, 730960]
Fundacao para a Ciencia e Tecnologia (FCT)Portuguese Foundation for Science and Technology [UID/MAR/04292/2019, SFRH/BD/117890/2016]
Brazilian Biodiversity Fund (FUNBIO-GEF)
ACTEMSA-Leal Santos Ltda
UK Department for Environment, Food and Rural Affairs (Marine Advisory Schedule) [MA016A]
Gordon and Betty Moore FoundationGordon and Betty Moore Foundation [3790]
NSFNational Science Foundation (NSF) [1829831]
NOAA Climate Program OfficeNational Oceanic Atmospheric Admin (NOAA) - USA [NA17OAR4310268, NA17OAR4310108]
NOAA/NMFS Office of Science and Technology
Pro-Reitoria de Pesquisa e Pos-graduacao, Universidade Federal do Para (PROPESP/UFPA) [05/2018]
Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)National Council for Scientific and Technological Development (CNPq) [438075/2018-8]
Ocean Acidification flagship within the FRAM-High North Centre for Climate and the Environment, Norway
U.S. National Science FoundationNational Science Foundation (NSF)
National Oceanic and Atmospheric AdministrationNational Oceanic Atmospheric Admin (NOAA) - USA
Bildumetan azaltzen da:Artículos científicos



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