| Title: |
Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades |
| Authors: |
Kulk, Gemma; Platt, Trevor; Dingle, James; Jackson, Thomas; Jonsson, Bror; Bouman, Heather; Babin, Marcel; Brewin, Robert, J W; Doblin, Martina; Estrada, Marta; Figueiras, Francisco, G; Furuya, Ken; González-Benítez, Natalia; Gudfinnsson, Hafsteinn, G; Gudmundsson, Kristinn; Huang, Bangqin; Isada, Tomonori; Kovač, Žarko; Lutz, Vivian, A; Marañón, Emilio; Raman, Mini; Richardson, Katherine; Rozema, Patrick, D; van de Poll, Willem, H; Segura, Valeria; Tilstone, Gavin, H; Uitz, Julia; van Dongen-Vogels, Virginie; Yoshikawa, Takashi; Sathyendranath, Shubha |
| Contributors: |
Plymouth Marine Laboratory (PML); Department of Earth Sciences Oxford; University of Oxford; Laboratoire d'océanographie de Villefranche (LOV); Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV); Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS); University of Exeter; Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC); The University of Tokyo (UTokyo); Universidad Rey Juan Carlos = Rey Juan Carlos University (URJC); Marine and Freshwater Research Institute (MFRI); Xiamen University; Hokkaido Information University; University of Split = Université de Split (UNIST); Universidade de Vigo; Indian Space Research Organisation (ISRO); Københavns Universitet = University of Copenhagen = Université de Copenhague (UCPH); University of Groningen Groningen; Australian Institute of Marine Science Townsville (AIMS Townsville); Australian Institute of Marine Science (AIMS) |
| Source: |
ISSN: 2072-4292 ; Remote Sensing ; https://hal.sorbonne-universite.fr/hal-02640608 ; Remote Sensing, 2020, 12 (5), pp.826. ⟨10.3390/rs12050826⟩. |
| Publisher Information: |
CCSD; MDPI |
| Publication Year: |
2020 |
| Subject Terms: |
climate change; ocean-colour remote-sensing; photosynthesis; phytoplankton; primary production; [SDV.EE.BIO]Life Sciences [q-bio]/Ecology; environment/Bioclimatology; [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
| Description: |
International audience ; Primary production by marine phytoplankton is one of the largest fluxes of carbon on our planet. In the past few decades, considerable progress has been made in estimating global primary production at high spatial and temporal scales by combining in situ measurements of primary production with remote-sensing observations of phytoplankton biomass. One of the major challenges in this approach lies in the assignment of the appropriate model parameters that define the photosynthetic response of phytoplankton to the light field. In the present study, a global database of in situ measurements of photosynthesis versus irradiance (P-I) parameters and a 20-year record of climate quality satellite observations were used to assess global primary production and its variability with seasons and locations as well as between years. In addition, the sensitivity of the computed primary production to potential changes in the photosynthetic response of phytoplankton cells under changing environmental conditions was investigated. Global annual primary production varied from 38.8 to 42.1 Gt C yr −1 over the period of 1998-2018. Inter-annual changes in global primary production did not follow a linear trend, and regional differences in the magnitude and direction of change in primary production were observed. Trends in primary production followed directly from changes in chlorophyll-a and were related to changes in the physico-chemical conditions of the water column due to inter-annual and multidecadal climate oscillations. Moreover, the sensitivity analysis in which P-I parameters were adjusted by ±1 standard deviation showed the importance of accurately assigning photosynthetic parameters in global and regional calculations of primary production. The assimilation number of the P-I curve showed strong relationships with environmental variables such as temperature and had a practically one-to-one relationship with the magnitude of change in primary production. In the future, such empirical relationships could ... |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.3390/rs12050826 |
| Availability: |
https://hal.sorbonne-universite.fr/hal-02640608; https://hal.sorbonne-universite.fr/hal-02640608v1/document; https://hal.sorbonne-universite.fr/hal-02640608v1/file/remotesensing-12-00826-v4.pdf; https://doi.org/10.3390/rs12050826 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.2E16F7A5 |
| Database: |
BASE |