On the Spatial and Temporal Variations of Primary Production in the South China Sea

Song, Luping; Lee, Zhongping; Shang, Shuo; Huang, Bangqin; Wu, Jiequn; Wu, Zelun; Lu, Wenfang; Liu, Xin

doi:10.1109/tgrs.2023.3241209

Cited by 4 publications

(7 citation statements)

References 91 publications

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“…The higher rates of NPP estimated from the CbPM are more comparable to the long‐term mean of in situ NPP measured at Station ALOHA (577 mg C m −2 d −1 ) (Karl & Church, 2017). These spatial patterns and comparisons further highlight the uncertainties in NPP estimated from satellite data using either VGPM or CbPM (Z. Lee & Marra, 2022; Song et al., 2023).…”

Section: Spatial and Seasonal Variations In The Npsgmentioning

confidence: 66%

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Upper Ocean Biogeochemistry of the Oligotrophic North Pacific Subtropical Gyre: From Nutrient Sources to Carbon Export

Dai,

Luo,

Achterberg

et al. 2023

Reviews of Geophysics

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Subtropical gyres cover 26%–29% of the world's surface ocean and are conventionally regarded as ocean deserts due to their permanent stratification, depleted surface nutrients, and low biological productivity. Despite tremendous advances over the past three decades, particularly through the Hawaii Ocean Time‐series and the Bermuda Atlantic Time‐series Study, which have revolutionized our understanding of the biogeochemistry in oligotrophic marine ecosystems, the gyres remain understudied. We review current understanding of upper ocean biogeochemistry in the North Pacific Subtropical Gyre, considering other subtropical gyres for comparison. We focus our synthesis on spatial variability, which shows larger than expected dynamic ranges of properties such as nutrient concentrations, rates of N2 fixation, and biological production. This review provides new insights into how nutrient sources drive community structure and export in upper subtropical gyres. We examine the euphotic zone (EZ) in subtropical gyres as a two‐layered vertically structured system: a nutrient‐depleted layer above the top of the nutricline in the well‐lit upper ocean and a nutrient‐replete layer below in the dimly lit waters. These layers vary in nutrient supply and stoichiometries and physical forcing, promoting differences in community structure and food webs, with direct impacts on the magnitude and composition of export production. We evaluate long‐term variations in key biogeochemical parameters in both of these EZ layers. Finally, we identify major knowledge gaps and research challenges in these vast and unique systems that offer opportunities for future studies.

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Section: Spatial and Seasonal Variations In The Npsgmentioning

confidence: 66%

“…These spatial patterns and comparisons further highlight the uncertainties in NPP estimated from satellite data using either VGPM or CbPM (Z. Lee & Marra, 2022;Song et al, 2023).…”

Section: Spatial Variations In Biomass and Primary Productionmentioning

confidence: 69%

Upper Ocean Biogeochemistry of the Oligotrophic North Pacific Subtropical Gyre: From Nutrient Sources to Carbon Export

Dai,

Luo,

Achterberg

et al. 2023

Reviews of Geophysics

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“…Most of these papers (89%) monitored PP over time (e.g., [138]), whereas about half of the papers (44%) exploited different remote data (e.g., [139]) and compared the results obtained with different methods (e.g., [138]).…”

Section: Primary Productionmentioning

confidence: 99%

“…Most of the papers (62%) monitored tidal data over time (e.g., [138]), whereas three papers combined remote data with models or GIS (e.g., [63]).…”

Section: Tidal Datamentioning

confidence: 99%

“…[76] Chl-a (1) Harmful algal bloom Sentinel-2 (10-20-60 m) No --[183] Chl-a (1) Harmful algal bloom Sentinel-3 (300 m) No -[185] -Chl-a (1) Harmful algal risk -Yes --[296] Chl-a (1) LU/LC change -Yes [61] --Chl-a (1) Marine aquaculture -Yes --[75] Chl-a (1) Macroalgae MODIS (0. Chl-a (1) Oil spill -Yes -[307,308] -Chl-a (1) Particulate organic carbon MODIS (0.5-1 km) Yes - [309] -Chl-a (1) Phenology and niche ecology of Harmful species METEOSAT Yes - [159] Chl-a (1) Phycocyanin HICO™ (~90 m) (2) No --[134] Chl-a (1) Phycocyanin PRISMA (30 m) (2) No -- Chl-a (1) Phytoplankton VIIRS Yes -[318] -Chl-a (1) Primary production -Yes --[289] Chl-a (1) Primary production Landsat (15-30 m) Yes [139] --Chl-a (1) Primary production MERIS (300 m) Yes -[157] -Chl-a (1) Primary production MODIS (0.5-1 km) Yes [69,138] [157] -Chl-a (1) Seagrass MODIS (0.5-1 km) Yes --[321] Chl-a (1) Water hyacinth Sentinel-2 (10-20-60 m) No -[160] -Chl-a (1) Water quality estimation MODIS (0.5-1 km) Yes - [88] [322] Chl-a (1) Water quality estimation Landsat (15-30 m) No - [86,88,323,324] [325] Chl-a (1) Water Chl-a (1) Water quality estimation UAV No [326] --Chl-a (1) Water quality estimation -Yes -[306] -Chl-a (1) Water quality estimation Sentinel-2 (10-20-60 m) No -[160] - (1) This parameter was mapped and monitored together with other parameters;…”

Section: Macroalgaementioning

confidence: 99%

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Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Cavalli

2024

Remote Sensing

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Since 1971, remote sensing techniques have been used to map and monitor phenomena and parameters of the coastal zone. However, updated reviews have only considered one phenomenon, parameter, remote data source, platform, or geographic region. No review has offered an updated overview of coastal phenomena and parameters that can be accurately mapped and monitored with remote data. This systematic review was performed to achieve this purpose. A total of 15,141 papers published from January 2021 to June 2023 were identified. The 1475 most cited papers were screened, and 502 eligible papers were included. The Web of Science and Scopus databases were searched using all possible combinations between two groups of keywords: all geographical names in coastal areas and all remote data and platforms. The systematic review demonstrated that, to date, many coastal phenomena (103) and parameters (39) can be mapped and monitored using remote data (e.g., coastline and land use and land cover changes, climate change, and coastal urban sprawl). Moreover, the authors validated 91% of the retrieved parameters, retrieved from remote data 39 parameters that were mapped or monitored 1158 times (88% of the parameters were combined together with other parameters), monitored 75% of the parameters over time, and retrieved 69% of the parameters from several remote data and compared the results with each other and with available products. They obtained 48% of the parameters using different methods, and their results were compared with each other and with available products. They combined 17% of the parameters that were retrieved with GIS and model techniques. In conclusion, the authors addressed the requirements needed to more effectively analyze coastal phenomena and parameters employing integrated approaches: they retrieved the parameters from different remote data, merged different data and parameters, compared different methods, and combined different techniques.

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Errata on “On the Spatial and Temporal Variations of Primary Production in the South China Sea

Song

Lee

Shang

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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On the Spatial and Temporal Variations of Primary Production in the South China Sea

Cited by 4 publications

References 91 publications

Upper Ocean Biogeochemistry of the Oligotrophic North Pacific Subtropical Gyre: From Nutrient Sources to Carbon Export

Upper Ocean Biogeochemistry of the Oligotrophic North Pacific Subtropical Gyre: From Nutrient Sources to Carbon Export

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Errata on “On the Spatial and Temporal Variations of Primary Production in the South China Sea

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