Photosynthetic parameters in the northern South China Sea in relation to phytoplankton community structure
Photosynthetic parameters in the northern South China Sea in relation to phytoplankton community structure
复制标题
南海北部光合参数与浮游植物群落结构的关系
DOI：
10.1002/2014jc010415
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发表时间：
2015-06
影响因子：
3.6
通讯作者：
Minhan Dai
中科院分区：
文献类型：
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作者：
Yuyuan Xie;Bangqin Huang;Lizhen Lin;Edward A. Laws;Lei Wang;Shaoling Shang;Tinglu Zhang;Minhan Dai
许多最近从海洋数据中检索海洋初级生产的模型是基于温度的。但是先前对低纬度的研究表明，包括浮游植物社区结构的模型可以改善预测性capabil
Many recent models for retrieval of primary production in the sea from ocean-color data are temperature based. But previous studies in low latitudes have shown that models that include phytoplankton community structure can have improved predictive capability. In this study, we measured photosynthetic parameters from photosynthesis-irradiance (P-E) experiments, phytoplankton absorption coefficients, and phytoplankton community structure derived from algal pigments during four cruises in the northern South China Sea (NSCS). The maximum quantum yield of CO2 ( ΦmC) and the chlorophyll a-normalized P-E curve light-limited slope (αB) varied significantly with the blue-to-red ratio of phytoplankton absorption peaks (aph(435)/aph(676)) (p < 0.001, r = −0.459 and −0.332, respectively). The unexplained variability could be due in part to the absorption associated with nonphotosynthetic pigments. The chlorophyll a-normalized light-saturated photosynthetic rate ( PmB) at the surface showed a unimodal distribution over the chlorophyll a range during the spring and summer, and significantly increased when Prochlorococcus was outcompeted by other picophytoplankton (p < 0.01). Almost 60% of the variance of PmB could be explained by a piecewise regression with phytoplankton absorption coefficients and pigment markers. Unlike previous studies, our data showed that changes of PmB were unrelated to the size structure of phytoplankton. Although a temperature-based approach could not effectively predict αB and PmB in the NSCS, a trophic-based approach can be used for assignment of these parameters in a regional primary production model using ocean-color data.
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DOI：
--
发表时间：
1980
期刊：
--
影响因子：
--
作者：
T. Platt;C. Gallegos;W. G. Harrison
通讯作者：
T. Platt;C. Gallegos;W. G. Harrison
影响因子：
8.8
作者：
Maranon, Emilio;Cermeno, Pedro;Rodriguez, Jaime
通讯作者：
Rodriguez, Jaime
影响因子：
2.4
作者：
B. Prézelin;R. Bidigare;H. Matlick;M. Putt;B. Hoven
通讯作者：
B. Prézelin;R. Bidigare;H. Matlick;M. Putt;B. Hoven
影响因子：
4.5
作者：
T. Malone
通讯作者：
T. Malone
影响因子：
2.5
作者：
S. Sathyendranath;T. Platt;Stuart;B. Irwin;Veldhuis Mjw;G. Kraay;W. G. Harrison
通讯作者：
S. Sathyendranath;T. Platt;Stuart;B. Irwin;Veldhuis Mjw;G. Kraay;W. G. Harrison