Logo do repositório
 

A comparison of global estimates of marine primary production from ocean color

dc.contributor.authorCarr, Mary-Elena
dc.contributor.authorFriedrichs, Marjorie A. M.
dc.contributor.authorSchmeltz, Marjorie
dc.contributor.authorAita, Maki Noguchi
dc.contributor.authorAntoine, David
dc.contributor.authorArrigo, Kevin R.
dc.contributor.authorAsanuma, Ichio
dc.contributor.authorAumont, Olivier
dc.contributor.authorBarber, Richard
dc.contributor.authorBehrenfeld, Michael
dc.contributor.authorBidigare, Robert
dc.contributor.authorBuitenhuis, Erik T.
dc.contributor.authorCampbell, Janet
dc.contributor.authorCiotti, Aurea
dc.contributor.authorDierssen, Heidi
dc.contributor.authorDowell, Mark
dc.contributor.authorDunne, John
dc.contributor.authorEsaias, Wayne
dc.contributor.authorGentili, Bernard
dc.contributor.authorGregg, Watson
dc.contributor.authorGroom, Steve
dc.contributor.authorHoepffner, Nicolas
dc.contributor.authorIshizaka, Joji
dc.contributor.authorKameda, Takahiko
dc.contributor.authorLe Quere, Corinne
dc.contributor.authorLohrenz, Steven
dc.contributor.authorMarra, John
dc.contributor.authorMelin, Frederic
dc.contributor.authorMoore, Keith
dc.contributor.authorMorel, Andre
dc.contributor.authorReddy, Tasha E.
dc.contributor.authorRyan, John
dc.contributor.authorScardi, Michele
dc.contributor.authorSmyth, Tim
dc.contributor.authorTurpie, Kevin
dc.contributor.authorTilstone, Gavin
dc.contributor.authorWaters, Kirk
dc.contributor.authorYamanaka, Yasuhiro
dc.contributor.institutionCALTECH
dc.contributor.institutionOld Dominion Univ
dc.contributor.institutionFontier Res Ctr Global Change
dc.contributor.institutionOceanog Lab
dc.contributor.institutionStanford Univ
dc.contributor.institutionTokyo Univ Informat Sci
dc.contributor.institutionUniv Paris 06
dc.contributor.institutionDuke Univ
dc.contributor.institutionOregon State Univ
dc.contributor.institutionUniv Hawaii
dc.contributor.institutionMax Planck Inst Biogeochem
dc.contributor.institutionUniv New Hampshire
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Connecticut
dc.contributor.institutionJoint Res Ctr
dc.contributor.institutionNOAA
dc.contributor.institutionNASA
dc.contributor.institutionPlymouth Marine Lab
dc.contributor.institutionNagasaki Univ
dc.contributor.institutionNatl Res Inst Far Seas Fisheries
dc.contributor.institutionUniv E Anglia
dc.contributor.institutionBritish Antarctic Survey
dc.contributor.institutionStennis Space Ctr
dc.contributor.institutionLamont Doherty Earth Observ
dc.contributor.institutionUniv Calif Irvine
dc.contributor.institutionMBARI
dc.contributor.institutionUniv Roma Tor Vergata
dc.contributor.institutionColl William & Mary
dc.date.accessioned2014-05-20T15:21:03Z
dc.date.available2014-05-20T15:21:03Z
dc.date.issued2006-01-01
dc.description.abstractThe third primary production algorithm round robin (PPARR3) compares output from 24 models that estimate depth-integrated primary production from satellite measurements of ocean color, as well as seven general circulation models (GCMs) coupled with ecosystem or biogeochemical models. Here we compare the global primary production fields corresponding to eight months of 1998 and 1999 as estimated from common input fields of photosynthetically-available radiation (PAR), sea-surface temperature (SST), mixed-layer depth, and chlorophyll concentration. We also quantify the sensitivity of the ocean-color-based models to perturbations in their input variables. The pair-wise correlation between ocean-color models was used to cluster them into groups or related output, which reflect the regions and environmental conditions under which they respond differently. The groups do not follow model complexity with regards to wavelength or depth dependence, though they are related to the manner in which temperature is used to parameterize photosynthesis. Global average PP varies by a factor of two between models. The models diverged the most for the Southern Ocean, SST under 10 degrees C, and chlorophyll concentration exceeding 1 mg Chlm(-3). Based on the conditions under which the model results diverge most, we conclude that current ocean-color-based models are challenged by high-nutrient low-chlorophyll conditions, and extreme temperatures or chlorophyll concentrations. The GCM-based models predict comparable primary production to those based on ocean color: they estimate higher values in the Southern Ocean, at low SST, and in the equatorial band, while they estimate lower values in eutrophic regions (probably because the area of high chlorophyll concentrations is smaller in the GCMs). Further progress in primary production modeling requires improved understanding of the effect of temperature on photosynthesis and better parameterization of the maximum photosynthetic rate. (c) 2006 Elsevier Ltd. All rights reserved.en
dc.description.affiliationCALTECH, Jet Propuls Lab, Pasadena, CA 91101 USA
dc.description.affiliationOld Dominion Univ, Ctr Coastal Phys Oceanog, Norfolk, VA 23529 USA
dc.description.affiliationFontier Res Ctr Global Change, Ecosyst Change Res Program, Yokohama, Kanagawa 2360001, Japan
dc.description.affiliationOceanog Lab, F-06238 Villefranche Sur Mer, France
dc.description.affiliationStanford Univ, Dept Geophys, Stanford, CA 94305 USA
dc.description.affiliationTokyo Univ Informat Sci, Chiba 2658501, Japan
dc.description.affiliationUniv Paris 06, Lab Oceanog Dynam & Climatol, CNRS, MHNN,IRD, F-75252 Paris 05, France
dc.description.affiliationDuke Univ, Marine Lab, Beaufort, NC 28516 USA
dc.description.affiliationOregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA
dc.description.affiliationUniv Hawaii, Dept Oceanog, Honolulu, HI 96822 USA
dc.description.affiliationMax Planck Inst Biogeochem, D-07701 Jena, Germany
dc.description.affiliationUniv New Hampshire, Durham, NH 03824 USA
dc.description.affiliationUniv Estadual Paulista, BR-11330900 São Paulo, Brazil
dc.description.affiliationUniv Connecticut, Dept Marine Sci, Groton, CT 06340 USA
dc.description.affiliationJoint Res Ctr, Inland & Marine Waters Unit, I-21020 Ispra, Italy
dc.description.affiliationNOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08542 USA
dc.description.affiliationNASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA
dc.description.affiliationPlymouth Marine Lab, Remote Sensing Grp, Plymouth PL1 3DH, Devon, England
dc.description.affiliationNagasaki Univ, Fac Fisheries, Nagasaki 8528521, Japan
dc.description.affiliationNatl Res Inst Far Seas Fisheries, Grp Oceanog, Shizuoka 4248633, Japan
dc.description.affiliationUniv E Anglia, Norwich NR4 7TJ, Norfolk, England
dc.description.affiliationBritish Antarctic Survey, Norwich NR4 7TJ, Norfolk, England
dc.description.affiliationStennis Space Ctr, Dept Marine Sci, Stennis Space Ctr, MS 39529 USA
dc.description.affiliationLamont Doherty Earth Observ, Palisades, NY 10964 USA
dc.description.affiliationUniv Calif Irvine, Irvine, CA 92697 USA
dc.description.affiliationMBARI, Moss Landing, CA 95039 USA
dc.description.affiliationUniv Roma Tor Vergata, Dept Biol, I-00133 Rome, Italy
dc.description.affiliationNOAA, Coastal Serv Ctr, Charleston, SC 29405 USA
dc.description.affiliationColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
dc.description.affiliationUnespUniv Estadual Paulista, BR-11330900 São Paulo, Brazil
dc.format.extent741-770
dc.identifierhttp://dx.doi.org/10.1016/j.dsr2.2006.01.028
dc.identifier.citationDeep-sea Research Part Ii-topical Studies In Oceanography. Oxford: Pergamon-Elsevier B.V., v. 53, n. 5-7, p. 741-770, 2006.
dc.identifier.doi10.1016/j.dsr2.2006.01.028
dc.identifier.issn0967-0645
dc.identifier.urihttp://hdl.handle.net/11449/32237
dc.identifier.wosWOS:000239285700013
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofDeep-Sea Research Part II: Topical Studies in Oceanography
dc.relation.ispartofjcr2.451
dc.relation.ispartofsjr1,352
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.titleA comparison of global estimates of marine primary production from ocean coloren
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.orcid0000-0001-7954-5369[32]
unesp.author.orcid0000-0002-9347-1682[36]
unesp.author.orcid0000-0001-7163-8819[14]
unesp.author.orcid0000-0002-9082-2395[5]
unesp.author.orcid0000-0003-3369-3248[38]
unesp.author.orcid0000-0003-2828-7595[2]
unesp.author.orcid0000-0003-3954-506X[8]
unesp.author.orcid0000-0001-6274-5583[12]
unesp.author.orcid0000-0003-0659-1422[34]
unesp.author.orcid0000-0003-2319-0452[25]
unesp.author.orcid0000-0003-0398-1572[23]
unesp.author.orcid0000-0003-3811-2975[26]
unesp.author.orcid0000-0002-8794-0489[17]

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Carregando...
Imagem de Miniatura
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções