Staff View
Building confidence in projections of the responses of living marine resources to climate change

Descriptive

TypeOfResource
Text
TitleInfo
Title
Building confidence in projections of the responses of living marine resources to climate change
TitleInfo (type = alternative)
Title
Building confidence in projections of living marine resources to climate change
Name (type = personal)
NamePart (type = family)
Cheung
NamePart (type = given)
William W. L.
Affiliation
Nippon Foundation-Nereus Program and Changing Ocean Research Unit, Institute for the Oceans and Fisheries, The University of British Columbia
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Frölicher
NamePart (type = given)
Thomas L.
Affiliation
Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Asch
NamePart (type = given)
Rebecca G.
Affiliation
Atmospheric and Oceanic Sciences Program, Princeton University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Jones
NamePart (type = given)
Miranda C.
Affiliation
Nippon Foundation-Nereus Program and Changing Ocean Research Unit, Institute for the Oceans and Fisheries, The University of British Columbia
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Pinsky
NamePart (type = given)
Malin L.
Affiliation
Ecology, Evolution and Natural Resources, Rutgers University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Reygondeau
NamePart (type = given)
Gabriel
Affiliation
Nippon Foundation-Nereus Program and Changing Ocean Research Unit, Institute for the Oceans and Fisheries, The University of British Columbia
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Rodgers
NamePart (type = given)
Keith B.
Affiliation
Atmospheric and Oceanic Sciences Program, Princeton University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Rykaczewski
NamePart (type = given)
Ryan R.
Affiliation
Department of Biological Sciences and Marine Science Program, University of South Carolina
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Sarmiento
NamePart (type = given)
Jorge L.
Affiliation
Atmospheric and Oceanic Sciences Program, Princeton University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Stock
NamePart (type = given)
Charles
Affiliation
Geophysical Fluid Dynamics Laboratory, National Oceanographic and Atmospheric Administration
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Watson
NamePart (type = given)
James R.
Affiliation
Atmospheric and Oceanic Sciences Program, Princeton University & Stockholm Resilience Centre, Stockholm University (Universität Stockholm)
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = corporate); (authority = RutgersOrg-Department)
NamePart
Ecology, Evolution and Natural Resources
Name (type = corporate); (authority = RutgersOrg-School)
NamePart
School of Environmental and Biological Sciences (SEBS)
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Accepted Manuscript (AM)
Note (type = peerReview)
Peer reviewed
OriginInfo
DateIssued (encoding = w3cdtf); (keyDate = yes)
2016
Abstract (type = Abstract)
The Fifth Assessment Report of the Intergovernmental Panel on Climate Change highlights that climate change and ocean acidification are challenging the sustainable management of living marine resources (LMRs). Formal and systematic treatment of uncertainty in existing LMR projections, however, is lacking. We synthesize knowledge of how to address different sources of uncertainty by drawing from climate model intercomparison efforts. We suggest an ensemble of available models and projections, informed by observations, as a starting point to quantify uncertainties. Such an ensemble must be paired with analysis of the dominant uncertainties over different spatial scales, time horizons, and metrics. We use two examples: (i) global and regional projections of Sea Surface Temperature and (ii) projection of changes in potential catch of sablefish (Anoplopoma fimbria) in the 21st century, to illustrate this ensemble model approach to explore different types of uncertainties. Further effort should prioritize understanding dominant, undersampled Dimensions of uncertainty, as well as the strategic collection of observations to quantify, and ultimately reduce, uncertainties. Our proposed framework will improve our understanding of future changes in LMR and the resulting risk of impacts to ecosystems and the societies under changing ocean conditions.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
51 p.
Subject (authority = local)
Topic
Climate change
Subject (authority = local)
Topic
Fisheries
Subject (authority = local)
Topic
Marine resources
Subject (authority = local)
Topic
Multi-model ensembles
Subject (authority = local)
Topic
Projection
Subject (authority = local)
Topic
Uncertainty
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2016
AssociatedObject
Name
ICES Journal of Marine Science
Type
Journal
Relationship
Has part
Detail
1283-1296
Identifier (type = volume and issue)
73(5)
Reference (type = url)
http://dx.doi.org/10.1093/icesjms/fsv250
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
Swiss National Science Foundation
AssociatedEntity
Role
Originator
Name
Thomas L. Frolicher
AssociatedObject
Type
Grant number
Name
Ambizione grant PZ00P2_142573
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
National Science Foundation
AssociatedEntity
Role
Originator
Name
James R. Watson
AssociatedObject
Type
Grant number
Name
GEO-1211972
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
National Science Foundation
AssociatedEntity
Role
Originator
Name
Malin L. Pinsky
AssociatedObject
Type
Grant number
Name
#OCE-1426891
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
New Jersey Sea Grant
AssociatedEntity
Role
Originator
Name
Malin L. Pinsky
AssociatedObject
Type
Grant number
Name
R/6410-0011
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
The Pew Charitable Trusts
AssociatedEntity
Role
Originator
Name
Malin L. Pinsky
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
the National Oceanic and Atmospheric Administration
AssociatedEntity
Role
Originator
Name
Malin L. Pinsky
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
GreenMar
AssociatedEntity
Role
Originator
Name
Malin L. Pinsky
AssociatedObject
Type
Grant number
Name
Consortium Agreement GreeMar-AGMT dtd 05-05- 2014, Prime Nordforsk Project Number: 61582
RelatedItem (type = host)
TitleInfo
Title
Pinsky, Malin L.
Identifier (type = local)
rucore30149900001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3154KVW
Back to the top

Rights

RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.5
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2016-06-21T17:14:36
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2016-05-26T13:54:28
ApplicationName
Acrobat Distiller 8.1.0 (Windows)
Back to the top
Version 8.3.10
Rutgers University Libraries - Copyright ©2019