Environmental Drivers of Coccolithophore Growth in the Pacific Sector of the Southern Ocean
Environmental Drivers of Coccolithophore Growth in the Pacific Sector of the Southern Ocean
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DOI：
10.1029/2023gb007751
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发表时间：
2023-11
影响因子：
5.2
通讯作者：
H. Oliver;D. J. McGillicuddy;K. Krumhardt;M. Long;N. R. Bates;B. Bowler;D. Drapeau;W. Balch
中科院分区：
文献类型：
--
作者：
H. Oliver;D. J. McGillicuddy;K. Krumhardt;M. Long;N. R. Bates;B. Bowler;D. Drapeau;W. Balch
大方解石带（GCB）是横跨南大洋的高浓度悬浮颗粒无机碳（PIC）带，在全球碳循环中起着重要作用。控制颗石藻生长的关键限制因素支持这一高PIC尚未在偏远的太平洋地区得到很好的表征，太平洋地区是最低的PIC，但GCB的最大区域。在这里，我们介绍了2021年1月至2月沿沿着150°W的现场物理和地球化学测量结果，其中发生了颗石藻水华。在这两个月里，亚南极带（SAZ）的PIC升高，其中硝酸盐>1 μM，1月温度为1.13 °C，2月温度为1.14 °C，与先前与最佳颗石藻生长潜力相关的条件一致。最高的PIC与相对较窄的温度范围有关，在职业之间增加约1°C。在两次占领之间，一个较新鲜的水团被输送到西经150°，而测高信息的拉格朗日回溯估计表明，大部分水可能是从东南部的SAZ输送过来的。将1月和2月的观测结果应用于颗石藻生长模型，我们表明，温度上升1.7°C可以解释职业之间PIC的上升。
The Great Calcite Belt (GCB) is a band of high concentrations of suspended particulate inorganic carbon (PIC) spanning the subantarctic Southern Ocean and plays an important role in the global carbon cycle. The key limiting factors controlling coccolithophore growth supporting this high PIC have not yet been well‐characterized in the remote Pacific sector, the lowest PIC but largest area of the GCB. Here, we present in situ physical and biogeochemical measurements along 150°W from January to February 2021, where a coccolithophore bloom occurred. In both months, PIC was elevated in the Subantarctic Zone (SAZ), where nitrate was >1 μM and temperatures were ∼13°C in January and ∼14°C in February, consistent with conditions previously associated with optimal coccolithophore growth potential. The highest PIC was associated with a relatively narrow temperature range that increased about 1°C between occupations. A fresher water mass had been transported to the 150°W meridian between occupations, and altimetry‐informed Lagrangian backtracking estimates show that most of this water was likely transported from the southeast within the SAZ. Applying the observations in a coccolithophore growth model for both January and February, we show that the ∼1.7°C increase in temperature can explain the rise in PIC between occupations.