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A comparison of methods to determine phytoplankton bloom initiation
Phytoplankton bloom phenology has important consequences for marine ecosystems and fisheries. Recent studies have used remotely sensed ocean color data to calculate metrics associated with the phenological cycle, such as the phytoplankton bloom initiation date, on regional and global scales. These m...
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Published in: | Journal of geophysical research. Oceans 2013-05, Vol.118 (5), p.2345-2357 |
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container_title | Journal of geophysical research. Oceans |
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creator | Brody, Sarah R. Lozier, M. Susan Dunne, John P. |
description | Phytoplankton bloom phenology has important consequences for marine ecosystems and fisheries. Recent studies have used remotely sensed ocean color data to calculate metrics associated with the phenological cycle, such as the phytoplankton bloom initiation date, on regional and global scales. These metrics are often linked to physical or biological forcings. Most studies choose one of several common methods for calculating bloom initiation, leading to questions about whether bloom initiation dates calculated with different methods yield comparable results. Here we compare three methods for finding the date of phytoplankton bloom initiation in the North Atlantic: a biomass‐based threshold method, a rate of change method, and a cumulative biomass‐based threshold method. We use these methods to examine whether the onset of positive ocean‐atmosphere heat fluxes coincides with subpolar bloom initiation. In several coherent locations, we find differences in the patterns of bloom initiation created by each method and differences in the synchrony between bloom initiation and positive heat fluxes, which likely indicate various physical processes at play in the study region. We also assess the effect of missing data on the chosen methods.
Key PointsDifferent methods of calculating bloom start dates produced different results.Each method identified the bloom as a different part of the chlorophyll cycle.The onset of positive heat fluxes coincides with the phytoplankton bloom. |
doi_str_mv | 10.1002/jgrc.20167 |
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Key PointsDifferent methods of calculating bloom start dates produced different results.Each method identified the bloom as a different part of the chlorophyll cycle.The onset of positive heat fluxes coincides with the phytoplankton bloom.</description><identifier>ISSN: 2169-9275</identifier><identifier>EISSN: 2169-9291</identifier><identifier>DOI: 10.1002/jgrc.20167</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Chlorophylls ; Fluxes ; Geophysics ; heat fluxes ; Marine ecosystems ; Marine fish ; Mathematical analysis ; Methods ; Ocean color ; ocean color remote sensing ; Phytoplankton ; phytoplankton bloom initiation ; phytoplankton phenology ; Plankton ; Production methods ; SeaWiFS ; subpolar spring bloom ; Thresholds</subject><ispartof>Journal of geophysical research. Oceans, 2013-05, Vol.118 (5), p.2345-2357</ispartof><rights>2013. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5307-4ab97583ccb6c8b0ea29398777fc408e49d1d2d213a7e29640003a83b7b750223</citedby><cites>FETCH-LOGICAL-a5307-4ab97583ccb6c8b0ea29398777fc408e49d1d2d213a7e29640003a83b7b750223</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>Brody, Sarah R.</creatorcontrib><creatorcontrib>Lozier, M. Susan</creatorcontrib><creatorcontrib>Dunne, John P.</creatorcontrib><title>A comparison of methods to determine phytoplankton bloom initiation</title><title>Journal of geophysical research. Oceans</title><addtitle>J. Geophys. Res. Oceans</addtitle><description>Phytoplankton bloom phenology has important consequences for marine ecosystems and fisheries. Recent studies have used remotely sensed ocean color data to calculate metrics associated with the phenological cycle, such as the phytoplankton bloom initiation date, on regional and global scales. These metrics are often linked to physical or biological forcings. Most studies choose one of several common methods for calculating bloom initiation, leading to questions about whether bloom initiation dates calculated with different methods yield comparable results. Here we compare three methods for finding the date of phytoplankton bloom initiation in the North Atlantic: a biomass‐based threshold method, a rate of change method, and a cumulative biomass‐based threshold method. We use these methods to examine whether the onset of positive ocean‐atmosphere heat fluxes coincides with subpolar bloom initiation. In several coherent locations, we find differences in the patterns of bloom initiation created by each method and differences in the synchrony between bloom initiation and positive heat fluxes, which likely indicate various physical processes at play in the study region. We also assess the effect of missing data on the chosen methods.
Key PointsDifferent methods of calculating bloom start dates produced different results.Each method identified the bloom as a different part of the chlorophyll cycle.The onset of positive heat fluxes coincides with the phytoplankton bloom.</description><subject>Chlorophylls</subject><subject>Fluxes</subject><subject>Geophysics</subject><subject>heat fluxes</subject><subject>Marine ecosystems</subject><subject>Marine fish</subject><subject>Mathematical analysis</subject><subject>Methods</subject><subject>Ocean color</subject><subject>ocean color remote sensing</subject><subject>Phytoplankton</subject><subject>phytoplankton bloom initiation</subject><subject>phytoplankton phenology</subject><subject>Plankton</subject><subject>Production methods</subject><subject>SeaWiFS</subject><subject>subpolar spring bloom</subject><subject>Thresholds</subject><issn>2169-9275</issn><issn>2169-9291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LxDAQhosouKgXf0HBiwhdM0naJEdZdVUWFVH3GNI2q1nbpiZZdP-9WVc9eBDnMgPzvPPxJsk-oCEghI_nT64aYgQF20gGGAqRCSxg86dm-Xay5_0cxeDAKRWDZHSSVrbtlTPedqmdpa0Oz7b2abBprYN2rel02j8vg-0b1b2ESJWNtW1qOhOMCsZ2u8nWTDVe733lneTh_Ox-dJFNbsaXo5NJpnKCWEZVKVjOSVWVRcVLpBUWRHDG2KyiiGsqaqhxjYEoprEoaDyTKE5KVrIcYUx2ksP13N7Z14X2QbbGV7qJd2m78BKKHCgIAPgHSuLInKIioge_0LlduC4-sqI4Ac4_dx-tqcpZ752eyd6ZVrmlBCRX7suV-_LT_QjDGn4zjV7-Qcqr8d3oW5OtNcYH_f6jUe5Fxi7L5fR6LGnOJtPb01v5SD4A53eT-g</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Brody, Sarah R.</creator><creator>Lozier, M. 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Susan</creatorcontrib><creatorcontrib>Dunne, John P.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Oceans</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brody, Sarah R.</au><au>Lozier, M. Susan</au><au>Dunne, John P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparison of methods to determine phytoplankton bloom initiation</atitle><jtitle>Journal of geophysical research. Oceans</jtitle><addtitle>J. Geophys. Res. Oceans</addtitle><date>2013-05</date><risdate>2013</risdate><volume>118</volume><issue>5</issue><spage>2345</spage><epage>2357</epage><pages>2345-2357</pages><issn>2169-9275</issn><eissn>2169-9291</eissn><abstract>Phytoplankton bloom phenology has important consequences for marine ecosystems and fisheries. Recent studies have used remotely sensed ocean color data to calculate metrics associated with the phenological cycle, such as the phytoplankton bloom initiation date, on regional and global scales. These metrics are often linked to physical or biological forcings. Most studies choose one of several common methods for calculating bloom initiation, leading to questions about whether bloom initiation dates calculated with different methods yield comparable results. Here we compare three methods for finding the date of phytoplankton bloom initiation in the North Atlantic: a biomass‐based threshold method, a rate of change method, and a cumulative biomass‐based threshold method. We use these methods to examine whether the onset of positive ocean‐atmosphere heat fluxes coincides with subpolar bloom initiation. In several coherent locations, we find differences in the patterns of bloom initiation created by each method and differences in the synchrony between bloom initiation and positive heat fluxes, which likely indicate various physical processes at play in the study region. We also assess the effect of missing data on the chosen methods.
Key PointsDifferent methods of calculating bloom start dates produced different results.Each method identified the bloom as a different part of the chlorophyll cycle.The onset of positive heat fluxes coincides with the phytoplankton bloom.</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/jgrc.20167</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Chlorophylls Fluxes Geophysics heat fluxes Marine ecosystems Marine fish Mathematical analysis Methods Ocean color ocean color remote sensing Phytoplankton phytoplankton bloom initiation phytoplankton phenology Plankton Production methods SeaWiFS subpolar spring bloom Thresholds |
title | A comparison of methods to determine phytoplankton bloom initiation |
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