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Fluorescence-Based Approach to Estimate the Chlorophyll-A Concentration of a Phytoplankton Bloom in Ardley Cove (Antarctica)
Zeng, Chen1,2; Zeng, Tao3,4; Fischer, Andrew M.5; Xu, Huiping6
2017-03-01
Source PublicationREMOTE SENSING
Volume9Issue:3Pages:1
Abstract

A phytoplankton bloom occurred in Ardley Cove, King George Island in January 2016, during which maximum chlorophyll-a reached 9.87 mg/m(3). Records show that blooms have previously not occurred in this area prior to 2010 and the average chlorophyll-a concentration between 1991 and 2009 was less than 2 mg/m(3). Given the lack of in situ measurements and the poor performance of satellite algorithms in the Southern Ocean and Antarctic waters, we validate and assess several chlorophyll-a algorithms and apply an improved baseline fluorescence approach to examine this bloom event. In situ water properties including in vivo fluorescence, water leaving radiance, and solar irradiance were collected to evaluate satellite algorithms and characterize chlorophyll-a concentration, as well as dominant phytoplankton groups. The results validated the nFLH fluorescence baseline approach, resulting in a good agreement at this high latitude, high chlorophyll-a region with correlation at 59.46%. The dominant phytoplankton group within the bloom was micro-phytoplankton, occupying 79.58% of the total phytoplankton community. Increasing sea ice coverage and sea ice concentration are likely responsible for increasing phytoplankton blooms in the recent decade. Given the profound influence of climate change on sea-ice and phytoplankton dynamics in the region, it is imperative to develop accurate methods of estimating the spatial distribution and concentrations of the increasing occurrence of bloom events.

SubtypeArticle
KeywordChlorophyll-a Estimation Fluorescence Approach King George Island Phytoplankton Bloom
WOS HeadingsScience & Technology ; Technology
DOI10.3390/rs9030210
Indexed BySCI
Language英语
WOS KeywordInherent Optical-properties ; Southern-ocean ; Sea-ice ; Primary Productivity ; Color ; Waters ; Model ; Reflectance ; Validation ; Algorithms
WOS SubjectRemote Sensing
WOS IDWOS:000398720100024
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.idsse.ac.cn/handle/183446/2048
Collection所领导
Affiliation1.Tongji Univ, Sch Ocean & Earth Sci, Shanghai 200092, Peoples R China
2.Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Vancouver, BC V6T 1Z4, Canada
3.Natl Satellite Ocean Applicat Serv State Ocean Ad, Beijing 100081, Peoples R China
4.Key Lab Space Ocean Remote Sensing & Applicat Sta, Beijing 100081, Peoples R China
5.Univ Tasmania, Inst Marine & Antarctic Studies, Launceston, Tas 7250, Australia
6.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China
Recommended Citation
GB/T 7714
Zeng, Chen,Zeng, Tao,Fischer, Andrew M.,et al. Fluorescence-Based Approach to Estimate the Chlorophyll-A Concentration of a Phytoplankton Bloom in Ardley Cove (Antarctica)[J]. REMOTE SENSING,2017,9(3):1.
APA Zeng, Chen,Zeng, Tao,Fischer, Andrew M.,&Xu, Huiping.(2017).Fluorescence-Based Approach to Estimate the Chlorophyll-A Concentration of a Phytoplankton Bloom in Ardley Cove (Antarctica).REMOTE SENSING,9(3),1.
MLA Zeng, Chen,et al."Fluorescence-Based Approach to Estimate the Chlorophyll-A Concentration of a Phytoplankton Bloom in Ardley Cove (Antarctica)".REMOTE SENSING 9.3(2017):1.
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