On the Spatial and Temporal Variations of Primary Production in the South China Sea
On the Spatial and Temporal Variations of Primary Production in the South China Sea
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DOI：
10.1109/tgrs.2023.3241209
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发表时间：
2023
影响因子：
8.2
通讯作者：
Luping Song;Z. Lee;S. Shang;Bangqin Huang;Jinghui Wu;Zelun Wu;Wenfang Lu;Xin Liu
中科院分区：
文献类型：
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作者：
Luping Song;Z. Lee;S. Shang;Bangqin Huang;Jinghui Wu;Zelun Wu;Wenfang Lu;Xin Liu
使用卫星产品估计南海（SCS）盆地地区（沃茨水深超过200 m）的初级生产力（PP），首要目标是可靠地表征这一重要边缘海的初级生产力的空间分布和时间变化。在所使用的PP模型中，基于吸收的模型（AbPM）表现出更好的性能（$R^{2}=0.47$和$N =39$）。相比之下，基于叶绿素的模型[垂直广义生产模型（VGPM）]的$R^{2}$值为0.26，基于碳的模型（CbPM）为0.15。此外，我们观察到，从这些模型获得的PP空间格局是相似的，但不同意的年度PP幅度，其中VGPM和CbPM，分别获得$\sim $50%低和$\sim $40%高的年度PP相比，由AbPM获得。特别是，在使用经验正交函数（EOFs）分析后，上升流引起的吕宋岛（冬季）和越南海岸（夏季）高PP明显反映在ABPM结果的第一模态中，其主成分1在2003-2019年期间呈下降趋势（冬季为每年负15.0%，p ;夏季为每年负14.7%，p），反映南海风力减弱及海表温度上升的影响。然而，VGPM和CbPM的结果与主要的区域海洋学特征没有很强的关系。这些结果表明，从ABPM获得的SCS PP的时空变化是更合理的，并进一步突出了可靠地捕捉大规模的时空动力学的PP在海洋环境中的鲁棒模型的重要性。
Primary production (PP) of the South China Sea (SCS) basin area (waters depth deeper than 200 m) is estimated using satellite products, with an overarching goal to reliably characterize the spatial distribution and temporal variation of PP of this important marginal sea. Among the PP models used, the absorption-based model (AbPM) showed better performance ( $R^{2}=0.47$ and $N =39$ ). In comparison, the $R^{2}$ value is 0.26 for a chlorophyll-based model [vertically generalized production model (VGPM)] and 0.15 for the carbon-based model (CbPM). Furthermore, we observed that the PP spatial patterns obtained from these models were similar but disagree on the annual PP magnitude, where VGPM and CbPM, respectively, obtained $\sim $ 50% lower and $\sim $ 40% higher annual PP compared to that obtained by AbPM. In particular, after analysis using empirical orthogonal functions (EOFs), the upwelling-induced high PP off Luzon (winter) and Vietnam coast (summer) was clearly reflected in the first EOF mode of the AbPM results, and its principal component 1 has shown a decreasing trend for the period of 2003–2019 (−15.0% yr $^{-1}$ for winter, $p ; −14.7% yr $^{-1}$ for summer, $p ), which reflects the impact of weakening wind and higher sea surface temperature in the SCS. For the results of VGPM and CbPM, however, no strong relationships were found with the main regional oceanographic features. These results suggested that the spatiotemporal variations of SCS PP obtained from AbPM are more reasonable and further highlight the importance of a robust model in reliably capturing large-scale spatiotemporal dynamics of PP in marine environments.