Mixing control on the photosynthesis-irradiance relationship and an estimate of primary production in the winter of the East China Sea

Gong, Gwo-Ching; Chen, Tzong-Yueh; You, Wan-Lynn

doi:10.3319/tao.2017.06.28.01

Cited by 4 publications

(1 citation statement)

References 34 publications

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“…This is especially so when the shelf sea areas are dominated by large rivers containing a large amount of suspended particles and color-dissolved organic matter [26,35]. The estimation errors of satellite-derived PP were often the result of incorrectly applying ocean color chlorophyll algorithms and inaccurate PP data [46]. In our case, the highest correlation coefficients were obtained in the PP A+T around the waters of Taiwan in the spring.…”

Section: Discussionmentioning

confidence: 66%

Validation of a Primary Production Algorithm of Vertically Generalized Production Model Derived from Multi-Satellite Data around the Waters of Taiwan

Lan

Lian

et al. 2020

Remote Sensing

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Basin-scale sampling for high frequency oceanic primary production (PP) is available from satellites and must achieve a strong match-up with in situ observations. This study evaluated a regionally high-resolution satellite-derived PP using a vertically generalized production model (VGPM) with in situ PP. The aim was to compare the root mean square difference (RMSD) and relative percent bias (Bias) in different water masses around Taiwan. Determined using light–dark bottle methods, the spatial distribution of VGPM derived from different Chl-a data of MODIS Aqua (PPA), MODIS Terra (PPT), and averaged MODIS Aqua and Terra (PPA&T) exhibited similar seasonal patterns with in situ PP. The three types of satellite-derived PPs were linearly correlated with in situ PPs, the coefficients of which were higher throughout the year in PPA&T (r2 = 0.61) than in PPA (r2 = 0.42) and PPT (r2 = 0.38), respectively. The seasonal RMSR and bias for the satellite-derived PPs were in the range of 0.03 to 0.09 and −0.14 to −0.39, respectively, which suggests the PPA&T produces slightly more accurate PP measurements than PPA and PPT. On the basis of environmental conditions, the subareas were further divided into China Coast water, Taiwan Strait water, Northeastern upwelling water, and Kuroshio water. The VPGM PP in the four subareas displayed similar features to Chl-a variations, with the highest PP in the China Coast water and lowest PP in the Kuroshio water. The RMSD was higher in the Kuroshio water with an almost negative bias. The PPA exhibited significant correlations with in situ PP in the subareas; however, the sampling locations were insufficient to yield significant results in the China Coast water.

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Section: Discussionmentioning

confidence: 66%

Validation of a Primary Production Algorithm of Vertically Generalized Production Model Derived from Multi-Satellite Data around the Waters of Taiwan

Lan

Lian

et al. 2020

Remote Sensing

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Abundant small microplastics hidden in water columns of the Yellow Sea and East China Sea: Distribution, transportation and potential risk

Lin,

Zheng,

Zhan

et al. 2024

Journal of Hazardous Materials

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Climate Change Drove the Decline in Yangtze Estuary Net Primary Production Over the Past Two Decades

Wang,

Sun,

Jia

et al. 2024

Environ. Sci. Technol.

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Net primary productivity (NPP) is highly sensitive to multiple stressors under progressive and intensifying climate change and anthropogenic impacts. The importance of understanding spatiotemporal distribution patterns and the associated driving factors that govern estuary NPP is paramount for regional carbon (C) budget assessments. Using a combined remote sensing and machine learning (ML) approach, the average NPP of the Yangtze Estuarine−offshore continuum (YEOC) was measured at 273.19 ± 21.26 mgC m −2 day −1 over the past two decades. Temporally, NPP exhibited a significant downward trend between 2002 and 2022. Climate factors (climate fluctuations, sea level rise, and discharge) drove phytoplankton biomass (Chl-a) while light conditions (PAR and K d490 ) affected photosynthesis rates. Together, they can explain 65% of the NPP variation. Anthropogenic disturbances (i.e., damming and nutrient emissions) were not significant. Additionally, changes in NPP decreased phytoplankton C sequestration rates from 11.9 to 10.4 Tg C year −1 , reducing the estuary's C sink capacity, which relies on biological C fixation. This study highlights the climate's influence on the spatiotemporal transformation of YEOC NPP while enhancing our understanding of the response of EOC C budgets to climate change and anthropogenic activities.

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Mixing control on the photosynthesis-irradiance relationship and an estimate of primary production in the winter of the East China Sea

Cited by 4 publications

References 34 publications

Validation of a Primary Production Algorithm of Vertically Generalized Production Model Derived from Multi-Satellite Data around the Waters of Taiwan

Validation of a Primary Production Algorithm of Vertically Generalized Production Model Derived from Multi-Satellite Data around the Waters of Taiwan

Abundant small microplastics hidden in water columns of the Yellow Sea and East China Sea: Distribution, transportation and potential risk

Climate Change Drove the Decline in Yangtze Estuary Net Primary Production Over the Past Two Decades

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