Global trends in ocean phytoplankton: a new assessment using revised ocean colour data

被引:42
|
作者
Gregg, Watson W. [1 ]
Rousseaux, Cecile S. [2 ]
Franz, Bryan A. [3 ]
机构
[1] NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD USA
[2] NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Univ Space Res Assoc, Greenbelt, MD USA
[3] NASA, Goddard Space Flight Ctr, Ocean Ecol Lab, Greenbelt, MD USA
关键词
CLIMATE-CHANGE; CHLOROPHYLL-A; INDIAN-OCEAN; ATLANTIC; SEAWIFS; COCCOLITHOPHORES; PRODUCTIVITY; VARIABILITY; OSCILLATION; ABUNDANCE;
D O I
10.1080/2150704X.2017.1354263
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
A recent revision of the NASA global ocean colour record shows changes in global ocean chlorophyll trends. This new 18-year time series now includes three global satellite sensors, the Sea-viewing Wide Field of view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua), and Visible Infrared Imaging Radiometer Suite (VIIRS). The major changes are radiometric drift correction, a new algorithm for chlorophyll, and a new sensor VIIRS. The new satellite data record shows no significant trend in global annual median chlorophyll from 1998 to 2015, in contrast to a statistically significant negative trend from 1998 to 2012 in the previous version. When revised satellite data are assimilated into a global ocean biogeochemical model, no trend is observed in global annual median chlorophyll. This is consistent with previous findings for the 1998-2012 time period using the previous processing version and only two sensors (SeaWiFS and MODIS). Detecting trends in ocean chlorophyll with satellites is sensitive to data processing options and radiometric drift correction. The assimilation of these data, however, reduces sensitivity to algorithms and radiometry, as well as the addition of a new sensor. This suggests the assimilation model has skill in detecting trends in global ocean colour. Using the assimilation model, spatial distributions of significant trends for the 18-year record (1998-2015) show recent decadal changes. Most notable are the North and Equatorial Indian Oceans basins, which exhibit a striking decline in chlorophyll. It is exemplified by declines in diatoms and chlorophytes, which in the model are large and intermediate size phytoplankton. This decline is partially compensated by significant increases in cyanobacteria, which represent very small phytoplankton. This suggests the beginning of a shift in phytoplankton composition in these tropical and subtropical Indian basins.
引用
收藏
页码:1102 / 1111
页数:10
相关论文
共 50 条
  • [41] Remote assessment of the fate of phytoplankton in the Southern Ocean sea-ice zone
    Moreau, Sebastien
    Boyd, Philip W.
    Strutton, Peter G.
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [42] Overview of Operational Global and Regional Ocean Colour Essential Ocean Variables Within the Copernicus Marine Service
    Brando, Vittorio E.
    Santoleri, Rosalia
    Colella, Simone
    Volpe, Gianluca
    Di Cicco, Annalisa
    Sammartino, Michela
    Vilas, Luis Gonzalez
    Lapucci, Chiara
    Bohm, Emanuele
    Zoffoli, Maria Laura
    Cesarini, Claudia
    Forneris, Vega
    La Padula, Flavio
    Mangin, Antoine
    Jutard, Quentin
    Bretagnon, Marine
    Bryere, Philippe
    Demaria, Julien
    Calton, Ben
    Netting, Jane
    Sathyendranath, Shubha
    D'Alimonte, Davide
    Kajiyama, Tamito
    van der Zande, Dimitry
    Vanhellemont, Quentin
    Stelzer, Kerstin
    Bottcher, Martin
    Lebreton, Carole
    REMOTE SENSING, 2024, 16 (23)
  • [43] Assessment of a New Global Ocean Reanalysis in ENSO Predictions With NOAA UFS
    Zhu, Jieshun
    Wang, Wanqiu
    Kumar, Arun
    Liu, Yanyun
    DeWitt, David
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (06)
  • [44] Correction of inter-mission inconsistencies in merged ocean colour satellite data
    van Oostende, Marit
    Hieronymi, Martin
    Krasemann, Hajo
    Baschek, Burkard
    Roettgers, Ruediger
    FRONTIERS IN REMOTE SENSING, 2022, 3
  • [45] Applications of remotely-sensed ocean colour data in the Arabian Sea: A review
    Watts, LJ
    Kumari, B
    Maass, H
    INDIAN JOURNAL OF MARINE SCIENCES, 2005, 34 (04): : 396 - 407
  • [46] Regional surface chlorophyll trends and uncertainties in the global ocean
    Hammond, Matthew L.
    Beaulieu, Claudie
    Henson, Stephanie A.
    Sahu, Sujit K.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [47] Estimation of Spatiotemporal Variability of Global Surface Ocean DIC Fields Using Ocean Color Remote Sensing Data
    Shaik, Ibrahim
    Krishna, Kande Vamsi
    Nagamani, P. V.
    Begum, S. K.
    Shanmugam, Palanisamy
    Mathew, Reema
    Pathakoti, Mahesh
    Bothale, Rajashree V.
    Chauhan, Prakash
    Osama, Mohammed
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 14
  • [48] Distributions of phytoplankton carbohydrate, protein and lipid in the world oceans from satellite ocean colour
    Roy, Shovonlal
    ISME JOURNAL, 2018, 12 (06): : 1457 - 1472
  • [49] Southern Ocean Phytoplankton Community Structure as a Gatekeeper for Global Nutrient Biogeochemistry
    Nissen, Cara
    Gruber, Nicolas
    Muennich, Matthias
    Vogt, Meike
    GLOBAL BIOGEOCHEMICAL CYCLES, 2021, 35 (08)
  • [50] Photoacclimation by phytoplankton determines the distribution of global subsurface chlorophyll maxima in the ocean
    Masuda, Yoshio
    Yamanaka, Yasuhiro
    Smith, Sherwood Lan
    Hirata, Takafumi
    Nakano, Hideyuki
    Oka, Akira
    Sumata, Hiroshi
    COMMUNICATIONS EARTH & ENVIRONMENT, 2021, 2 (01):