4.7 Article

Phytoplankton Blooms Expanding Further Than Previously Thought in the Ross Sea: A Remote Sensing Perspective

期刊

REMOTE SENSING
卷 14, 期 14, 页码 -

出版社

MDPI
DOI: 10.3390/rs14143263

关键词

phytoplankton bloom; Chlorophyll-a; Ross Sea; MODIS

资金

  1. Qianjiang Talent Program of Zhejiang Province [QJD2002034]
  2. National Natural Science Foundation of China [42030708, 41906159]
  3. National Key Research and Development Program of China [2021YFE0117600]

向作者/读者索取更多资源

Accurate and robust measurements from ocean color satellites are crucial for studying changes in surface ocean properties. In this study, a locally-tuned chlorophyll algorithm was used to investigate the spatial expansion of phytoplankton blooms in the Ross Sea. The results showed that the blooms were larger than previously estimated and correlated with sea surface temperature, wind speed, and sea ice concentration.
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) x 10(4) km(2) on average, which was similar to 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 < 0.05), sea surface wind speed (R = 0.42, at p < 0.05), and sea ice concentration (R = -0.84, at p < 0.05), yet without significant long-term (>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.

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