The CAFE model: A net production model for global ocean phytoplankton

Global Biogeochemical Cycles - Tập 30 Số 12 - Trang 1756-1777 - 2016
Greg M. Silsbe1,2, Michael J. Behrenfeld1, Kimberly H. Halsey3, Allen J. Milligan1, Toby K. Westberry1
1Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon, USA
2Now at Horn Point Laboratory, University of Maryland Center for Environmental Sciences, Cambridge, Maryland, USA
3Department of Microbiology Oregon State University Corvallis, Oregon, USA

Tóm tắt

AbstractThe Carbon, Absorption, and Fluorescence Euphotic‐resolving (CAFE) net primary production model is an adaptable framework for advancing global ocean productivity assessments by exploiting state‐of‐the‐art satellite ocean color analyses and addressing key physiological and ecological attributes of phytoplankton. Here we present the first implementation of the CAFE model that incorporates inherent optical properties derived from ocean color measurements into a mechanistic and accurate model of phytoplankton growth rates (μ) and net phytoplankton production (NPP). The CAFE model calculates NPP as the product of energy absorption (QPAR), and the efficiency (ϕμ) by which absorbed energy is converted into carbon biomass (CPhyto), while μ is calculated as NPP normalized to CPhyto. The CAFE model performance is evaluated alongside 21 other NPP models against a spatially robust and globally representative set of direct NPP measurements. This analysis demonstrates that the CAFE model explains the greatest amount of variance and has the lowest model bias relative to other NPP models analyzed with this data set. Global oceanic NPP from the CAFE model (52 Pg C m−2 yr−1) and mean division rates (0.34 day−1) are derived from climatological satellite data (2002–2014). This manuscript discusses and validates individual CAFE model parameters (e.g., QPAR and ϕμ), provides detailed sensitivity analyses, and compares the CAFE model results and parameterization to other widely cited models.

Từ khóa


Tài liệu tham khảo

10.1029/95GB02831

10.1016/0967-0637(96)00058-1

10.1146/annurev-marine-052913-021325

10.4319/lo.1997.42.1.0001

10.1046/j.1529-8817.2004.03083.x

10.1029/2004GB002299

10.1038/nature05083

10.1098/rstb.2008.0019

10.5194/bg-6-779-2009

Behrenfeld M. J., 2016, Revaluating ocean warming impacts on global phytoplankton, Nat. Clim. Change, 6, 3223, 10.1038/nclimate2838

10.1016/j.ecolmodel.2010.02.014

10.1016/j.rse.2013.09.016

10.1029/95JC00463

10.1029/98JC02712

10.1029/20004JC00219

10.1002/2013GB004773

10.1016/j.dsr2.2006.01.028

10.5194/bg-5-679-2008

10.1146/annurev-marine-010213-135111

10.1029/2004JC002378

10.1073/pnas.1512538112

10.1016/j.jarsys.2008.05.010

10.1080/09670269810001736813

10.1016/j.dsr.2015.04.006

10.1146/annurev-marine-010814-015813

10.1007/s11120-009-9526-z

10.1111/j.1529-8817.2010.00945.x

10.3390/metabo4020260

10.1029/2004JC002735

10.1029/2011JC007395

10.1007/978-90-481-9268-7_3

10.5194/bg-4-853-2007

10.1016/j.rse.2013.01.003

International Ocean‐Colour Coordinating Group, 2006, Reports of the International Ocean‐Colour Coordinating Group

Intergovernmental Panel on Climate Change (IPCC), 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 1535

10.1093/jxb/erm084

10.1016/j.jmarsys.2014.06.003

10.4319/lo.1983.28.4.0770

10.4319/lo.1980.25.3.0457

10.1002/2015JC011018

10.1364/AO.41.005755

10.1029/2004JC002275

10.1002/jgrc.20308

10.1016/j.marsys.2014.11.015

10.1364/SO.35.000463

Levitus S.(1982) Climatological atlas of the world ocean.NOAA Prof. Pap. 13 173 pp.

10.1126/science.aab2213

10.1016/0967-0645(93)90008-B

10.1046/j.1529-8817.2002.00094.x

10.4319/lo.2012.57.5.1266

10.1364/AO.41.002705

10.1093/plankt/23.12.1373

10.1002/9780470995204.ch4

Marra J. C.Ho andC.Trees(2003) An alternative algorithm for the calculation of primary productivity from remote sensing data LDEO Technical Report LDEO‐2003‐1.

10.1016/j/dsr.2006.12.001

10.1102/2013GB004871

10.1016/j.rse.2011.03.013

10.4319/lo.1989.34.8-1545

10.1016/0967-0637(96)00059-3

10.1016/S0967-0645(00)00163-6

10.1364/AO.36.008710

10.1029/2009GB003655

10.5194/bg-8-489-2011

10.4319/lom.2012.10.645

10.1007/978-3-319-30259-1_12

10.1029/2004JC002784

10.3354/meps07830

10.1029/2005JD003207

10.4319/lo.2008.53.2.0614

10.1364/AO.52.002019

Westberry T. K., 2013, Biophysical Applications of Satellite Remote Sensing, 205

10.1016/S0967-0637(03)00019-0

10.1029/2007GB003078

10.1002/2015GB005276

Wozniak B. J.Dera andO. J.Koblentz‐Mishke(1992) Modeling the relationship between primary production optical properties and nutrients in the sea (as a basis for indirectly estimating phytoplankton production) Ocean Opt. 11 Proc.SPIE Int. Soc. Opt. Eng.1750‐246‐275.

10.1364/OE.17.001671

Thông tin
Thông tin xuất bản

Global Biogeochemical Cycles

Tập 30 Số 12

1756-1777

Thông tin tác giả