Photosynthetic parameters in the northern <scp>S</scp>outh <scp>C</scp>hina <scp>S</scp>ea in relation to phytoplankton community structure

Xie, Yuyuan; Huang, Bangqin; Lin, Lizhen; Wang, Lei; Shang, Shaoling; Zhang, Tinglu; Dai, Minhan

doi:10.1002/2014jc010415

Cited by 29 publications

(32 citation statements)

References 93 publications

(168 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the past three decades, considerable efforts have been made to establish a global database of P-I parameters ( [2,31,33,86]; this study) and to decipher their empirical relationships with physico-chemical and optical properties to enable prediction of photosynthetic parameters on regional and global scales [38,40,41,[105][106][107][108]. The observed relationships between physico-chemical conditions and P-I parameters in the present study confirmed earlier observations that temperature may be a good predictor of the assimilation number (P B m ), especially in coastal regions and temperate oceanic regions where temperature and associated water column stability dictates seasonal changes in the taxonomic and size structure of phytoplankton communities [40,86,109].…”

Section: Discussionmentioning

confidence: 99%

Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades

et al. 2020

Self Cite

View full text Add to dashboard Cite

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 potentially be used for a more dynamic assignment of photosynthetic rates in the estimation of global primary production. Relationships between the initial slope of the P-I curve and environmental variables were more elusive.

show abstract

Section: Discussionmentioning

confidence: 99%

Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Both taxon-specific and size-specific differences in P B m and α B have been reported in both culture and field studies (Bouman et al, 2005;Côté andPlatt, 1983, 1984;Huot et al, 2013;Xie et al, 2015). As new remote-sensing algorithms are now starting to yield information on the size and taxonomic structure of phytoplankton, it would be useful to derive additional information on the P-E response of key phytoplankton taxa and size classes, especially those implicated as playing key roles in ocean biogeochemical cycles (LeQuéré et al, 2005;Nair et al, 2008;Bracher et al, 2017).…”

Section: Discussionmentioning

confidence: 92%

“…We have included in the database quality flags indicating whether a correction factor for the spectrum of the lamp was applied to obtain a readily intercomparable broadband (white light) value (e.g. Kyewalyanga et al, 1997;Xie et al, 2015). This broad-band α B combined with information on the shape of the phytoplankton absorption spectrum has been shown to provide an accurate estimate of the photosynthetic action spectrum α B (λ).…”

Section: Experimental Conditionsmentioning

confidence: 99%

Photosynthesis–irradiance parameters of marine phytoplankton: synthesis of a global data set

Bouman

Platt

Doblin

et al. 2018

Earth Syst. Sci. Data

Self Cite

View full text Add to dashboard Cite

Abstract. The photosynthetic performance of marine phytoplankton varies in response to a variety of factors, environmental and taxonomic. One of the aims of the MArine primary Production: model Parameters from Space (MAPPS) project of the European Space Agency is to assemble a global database of photosynthesisirradiance (P-E) parameters from a range of oceanographic regimes as an aid to examining the basin-scale variability in the photophysiological response of marine phytoplankton and to use this information to improve the assignment of P-E parameters in the estimation of global marine primary production using satellite data. The MAPPS P-E database, which consists of over 5000 P-E experiments, provides information on the spatiotemporal variability in the two P-E parameters (the assimilation number, P B m , and the initial slope, α B , where the superscripts B indicate normalisation to concentration of chlorophyll) that are fundamental inputs for models (satellite-based and otherwise) of marine primary production that use chlorophyll as the state variable. Qualitycontrol measures consisted of removing samples with abnormally high parameter values and flags were added to denote whether the spectral quality of the incubator lamp was used to calculate a broad-band value of α B . The MAPPS database provides a photophysiological data set that is unprecedented in number of observations and in spatial coverage. The database will be useful to a variety of research communities, including marine ecologists, Published by Copernicus Publications.

show abstract

“…At the base of the NRL, F e _DIN was (1.1 ± 0.1) × 10 −1 mmol N m −2 d −1 , much higher than that in the NDL. Here the integrated PP was 3.33 mmol C m −2 d −1 (Xie et al, ). The difference in EP between 75 m and 47 m was 1.24 ± 0.48 mmol C m −2 d −1 , requiring 0.19 ± 0.07 mmol N m −2 d −1 of DIN, consistent with the estimated new nutrients sourced from depth, suggesting that diapycnal nutrient fluxes were sufficient to sustain EP from the NRL.…”

Section: Discussionmentioning

confidence: 99%

“…Simultaneously, continuous profiling sensor measurements of NO 3 ‐ (ISUS, Satlantic) and DO were conducted. Detailed analytical methods are introduced in the supporting information (Bourgault et al, ; Cao & Dai, ; Dai et al, ; Han et al, ; Johnson et al, ; Ma et al, ; Xie et al, ; Zhang, ; Zhou et al, ; Zhu et al, ).…”

Section: Methodsmentioning

confidence: 99%

Diapycnal Fluxes of Nutrients in an Oligotrophic Oceanic Regime: The South China Sea

Liu

Kao

et al. 2017

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

Nutrients from depth have been hypothesized as a primary source of new nutrients that sustain new productivity in oligotrophic oceans; however, the flux is challenging to quantify. Here we show for a first time in the oligotrophic South China Sea an extremely low diapycnal dissolved inorganic nitrogen (DIN) flux as 1.8 × 10−4 mmol m−2 d−1 in the nutrient‐depleted layer (NDL) above the nutricline, where other nutrient supplies sustain the new production. Here higher phosphate and silicate fluxes relative to DIN than Redfield stoichiometry further indicate N‐limited biological productivity and additional removal of DIN by diatoms. Below the NDL across the nutricline to the base of euphotic zone, termed as nutrient replete layer, the DIN flux is three orders of magnitude larger and sufficient in supporting the export production therein. Here higher DIC flux relative to DIN than Redfield stoichiometry further infers DIC excess in the upper ocean.

show abstract

Photosynthetic parameters in the northern South China Sea in relation to phytoplankton community structure

Cited by 29 publications

References 93 publications

Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades

Primary Production, an Index of Climate Change in the Ocean: Satellite-Based Estimates over Two Decades

Photosynthesis–irradiance parameters of marine phytoplankton: synthesis of a global data set

Diapycnal Fluxes of Nutrients in an Oligotrophic Oceanic Regime: The South China Sea

Contact Info

Product

Resources

About