Phytoplankton Blooms Expanding Further Than Previously Thought in the Ross Sea: A Remote Sensing Perspective
Phytoplankton Blooms Expanding Further Than Previously Thought in the Ross Sea: A Remote Sensing Perspective
复制标题
罗斯海浮游植物繁殖范围比之前想象的还要大：遥感视角
DOI：
10.3390/rs14143263
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发表时间：
2022
期刊：
影响因子：
5
通讯作者：
Yu Meng
中科院分区：
文献类型：
--
作者：
Shuangling Chen;Yu Meng
海洋水色卫星的精确和可靠测量对于研究海洋表面特性的时空变化至关重要。卫星获取的叶绿素a（Chl）是在天气尺度上监测浮游植物水华的重要参数，特别是在偏远海域。然而，目前美国宇航局的标准叶绿素算法往往严重低估了叶绿素在罗斯海。本文利用2002 - 2020年的MODIS数据，基于罗斯海叶绿素浓度的局部调整算法，对罗斯海浮游植物水华的空间扩展进行了研究。结果表明，该海域浮游植物水华的平均几何面积可达（7.20 ± 2.8）× 104 km 2，是NASA默认Chl算法的3.1倍。在空间上，罗斯海冰间湖陆架上经常发现水华，典型的机会≥ 80%。在气候变化和全球变暖的背景下，海冰覆盖的普遍减少和年际动态往往会影响太阳光穿透和表面海水温度，这被发现调节多年来浮游植物水华的空间扩展。统计分析表明，浮游植物水华的空间覆盖率显着相关的海表温度（斯皮尔曼相关系数R = 0.55，在p 10年）的趋势在研究期间。浮游植物水华比以前观察到的更强，可能表明更大的碳固存，这需要在未来进行调查。在云层覆盖下更有效的卫星观测将进一步限制估计。
Accurate and robust measurements from ocean color satellites are critical to studying spatial and temporal changes of surface ocean properties. Satellite-derived Chlorophyll-a (Chl) is an important parameter to monitor phytoplankton blooms on synoptical scales, particularly in remote seas. However, the present NASA standard Chl algorithm tends to strongly underestimate the Chl in the Ross Sea. Based on a locally-tuned Chl algorithm in the Ross Sea and using the data record from MODIS between 2002 and 2020, here we investigated the spatial expansion of phytoplankton blooms in the Ross Sea. Our results show the geometric areas of the phytoplankton blooms could reach (7.20 ± 2.8) × 104 km2 on average, which was ~3.1 times that of those identified using the NASA default Chl algorithm. Spatially, blooms were frequently identified on the shelf of the Ross Sea polynya with a typical chance of ≥80%. In the context of climate change and global warming, the general decrease and interannual dynamics of sea ice cover tends to affect solar light penetration and surface seawater temperature, which were found to regulate the spatial expansion of the phytoplankton blooms over the years. Statistical analyses showed that the spatial coverages of the phytoplankton blooms were significantly correlated with sea surface temperature (Spearman correlation coefficient R = 0.55, at p 10 years) trends over the study period. The stronger phytoplankton blooms than those previously observed may indicate larger carbon sequestration, which needs to be investigated in the future. More valid satellite observations under cloud covers will further constrain the estimates.