Spatio-temporal variations of Harmful algal blooms along the coast of Guangdong, Southern China during 1980–2016
Harmful algal blooms (HAB) have become a recurring problem, posing severe impacts on marine ecosystems, fisheries, mariculture industry, and even public health. In this study, the geographic information system (GIS) was utilized to determine spatial and temporal characteristics of HAB events in the...
Gespeichert in:
Veröffentlicht in: | Journal of oceanology and limnology 2019-03, Vol.37 (2), p.535-551 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 551 |
---|---|
container_issue | 2 |
container_start_page | 535 |
container_title | Journal of oceanology and limnology |
container_volume | 37 |
creator | Li, Li Lü, Songhui Cen, Jingyi |
description | Harmful algal blooms (HAB) have become a recurring problem, posing severe impacts on marine ecosystems, fisheries, mariculture industry, and even public health. In this study, the geographic information system (GIS) was utilized to determine spatial and temporal characteristics of HAB events in the coastal waters of Guangdong from 1980–2016. We analyzed distribution patterns and characteristics of HABs by dividing the coast of Guangdong into well-known bays, estuary and coastal waters. Results showed that there were a total of 337 HABs recorded in Guangdong coastal waters. Spatial and temporal distributions varied among different regions. Most HABs occurred in the Mirs Bay, followed by the west coast of Daya Bay, while a few occurred in the west and east coasts of Guangdong but with an increasing trend in the past two decades. HABs occurred mostly in warmer months of March to May in the western coast of Guangdong, March and April in Mirs Bay, April in Zhujiang (Pearl) River estuary, November in eastern coast of Guangdong. For Daya Bay, most HABs were reported between March and September. The most frequently occurring HABs species were
Noctiluca scintillans, P haeocystis globosa, Skeletonema costatum
and
Scrippsiella trochoidea
, occurring mostly in Mirs Bay, western Guangdong coast area, eastern Guangdong coast area and Zhujiang River estuary and Daya Bay, respectively. Ichthyotoxic blooms were more common than toxic blooms, and
Heterosigma akashiwo, Chattonella marina, Karenia mikimotoi
and
P haeocystis
globosa were the most common ichthyotoxic species. Our results provide baseline information useful for policy making and management of HABs in the region. |
doi_str_mv | 10.1007/s00343-019-8088-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2918116093</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2918116093</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-4ac5df00088004b49cb928bca4092c0f94a9515625312a3383bc751f1d5cdd203</originalsourceid><addsrcrecordid>eNp1UMtOwzAQtBBIVKUfwM0SVwxrO07tI6qgRarEoXC2HCdpUyVxsBOk3vgH_pAvwVGQOHHa18zs7iB0TeGOAizvAwBPOAGqiAQpyekMzZhgnHDB6HnMQaVECJCXaBHCEQAYSAZCzJDfdaavHOmLpnPe1PjD-GrstAG7Em-Mb8qhxqbex1lWO9eEWLh2j_tDga0zoR9x68G0-zy2b_HODXHkW7w6VK3B-eCriKZKwvfnFwOaXqGL0tShWPzGOXp7enxdbcj2Zf28etgSyyXrSWKsyMt4q5QASZYomykmM2sSUMxCqRKjBBUpE5wyw7nkmV0KWtJc2DxnwOfoZtLtvHsfitDroxt8G1dqpqikNAXFI4pOKOtdCL4odeerxviTpqBHd_Xkro7u6tFdfYocNnFCNz5X-D_l_0k_pp98ww</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918116093</pqid></control><display><type>article</type><title>Spatio-temporal variations of Harmful algal blooms along the coast of Guangdong, Southern China during 1980–2016</title><source>ProQuest Central Essentials</source><source>ProQuest Central (Alumni Edition)</source><source>ProQuest Central Student</source><source>ProQuest Central Korea</source><source>ProQuest Central UK/Ireland</source><source>Alma/SFX Local Collection</source><source>SpringerLink Journals - AutoHoldings</source><source>ProQuest Central</source><creator>Li, Li ; Lü, Songhui ; Cen, Jingyi</creator><creatorcontrib>Li, Li ; Lü, Songhui ; Cen, Jingyi</creatorcontrib><description>Harmful algal blooms (HAB) have become a recurring problem, posing severe impacts on marine ecosystems, fisheries, mariculture industry, and even public health. In this study, the geographic information system (GIS) was utilized to determine spatial and temporal characteristics of HAB events in the coastal waters of Guangdong from 1980–2016. We analyzed distribution patterns and characteristics of HABs by dividing the coast of Guangdong into well-known bays, estuary and coastal waters. Results showed that there were a total of 337 HABs recorded in Guangdong coastal waters. Spatial and temporal distributions varied among different regions. Most HABs occurred in the Mirs Bay, followed by the west coast of Daya Bay, while a few occurred in the west and east coasts of Guangdong but with an increasing trend in the past two decades. HABs occurred mostly in warmer months of March to May in the western coast of Guangdong, March and April in Mirs Bay, April in Zhujiang (Pearl) River estuary, November in eastern coast of Guangdong. For Daya Bay, most HABs were reported between March and September. The most frequently occurring HABs species were
Noctiluca scintillans, P haeocystis globosa, Skeletonema costatum
and
Scrippsiella trochoidea
, occurring mostly in Mirs Bay, western Guangdong coast area, eastern Guangdong coast area and Zhujiang River estuary and Daya Bay, respectively. Ichthyotoxic blooms were more common than toxic blooms, and
Heterosigma akashiwo, Chattonella marina, Karenia mikimotoi
and
P haeocystis
globosa were the most common ichthyotoxic species. Our results provide baseline information useful for policy making and management of HABs in the region.</description><identifier>ISSN: 2096-5508</identifier><identifier>EISSN: 2523-3521</identifier><identifier>DOI: 10.1007/s00343-019-8088-y</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Algae ; Algal blooms ; Aquatic ecosystems ; Bays ; Coastal waters ; Coasts ; Distribution patterns ; Earth and Environmental Science ; Earth Sciences ; Ecology ; Estuaries ; Estuarine dynamics ; Eutrophication ; Fisheries ; Fishery industry ; Geographic information systems ; Geographical information systems ; Information processing ; Information systems ; Marine aquaculture ; Marine ecosystems ; Marine fish ; Oceanography ; Public health ; Remote sensing ; Rivers ; Temporal variations</subject><ispartof>Journal of oceanology and limnology, 2019-03, Vol.37 (2), p.535-551</ispartof><rights>Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-4ac5df00088004b49cb928bca4092c0f94a9515625312a3383bc751f1d5cdd203</citedby><cites>FETCH-LOGICAL-c382t-4ac5df00088004b49cb928bca4092c0f94a9515625312a3383bc751f1d5cdd203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2918116093/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918116093?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21387,21388,21389,21390,23255,27923,27924,33529,33702,33743,34004,34313,41487,42556,43658,43786,43804,43952,44066,51318,64384,64388,72240,73875,74054,74073,74244,74361</link.rule.ids></links><search><creatorcontrib>Li, Li</creatorcontrib><creatorcontrib>Lü, Songhui</creatorcontrib><creatorcontrib>Cen, Jingyi</creatorcontrib><title>Spatio-temporal variations of Harmful algal blooms along the coast of Guangdong, Southern China during 1980–2016</title><title>Journal of oceanology and limnology</title><addtitle>J. Ocean. Limnol</addtitle><description>Harmful algal blooms (HAB) have become a recurring problem, posing severe impacts on marine ecosystems, fisheries, mariculture industry, and even public health. In this study, the geographic information system (GIS) was utilized to determine spatial and temporal characteristics of HAB events in the coastal waters of Guangdong from 1980–2016. We analyzed distribution patterns and characteristics of HABs by dividing the coast of Guangdong into well-known bays, estuary and coastal waters. Results showed that there were a total of 337 HABs recorded in Guangdong coastal waters. Spatial and temporal distributions varied among different regions. Most HABs occurred in the Mirs Bay, followed by the west coast of Daya Bay, while a few occurred in the west and east coasts of Guangdong but with an increasing trend in the past two decades. HABs occurred mostly in warmer months of March to May in the western coast of Guangdong, March and April in Mirs Bay, April in Zhujiang (Pearl) River estuary, November in eastern coast of Guangdong. For Daya Bay, most HABs were reported between March and September. The most frequently occurring HABs species were
Noctiluca scintillans, P haeocystis globosa, Skeletonema costatum
and
Scrippsiella trochoidea
, occurring mostly in Mirs Bay, western Guangdong coast area, eastern Guangdong coast area and Zhujiang River estuary and Daya Bay, respectively. Ichthyotoxic blooms were more common than toxic blooms, and
Heterosigma akashiwo, Chattonella marina, Karenia mikimotoi
and
P haeocystis
globosa were the most common ichthyotoxic species. Our results provide baseline information useful for policy making and management of HABs in the region.</description><subject>Algae</subject><subject>Algal blooms</subject><subject>Aquatic ecosystems</subject><subject>Bays</subject><subject>Coastal waters</subject><subject>Coasts</subject><subject>Distribution patterns</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>Estuaries</subject><subject>Estuarine dynamics</subject><subject>Eutrophication</subject><subject>Fisheries</subject><subject>Fishery industry</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Information processing</subject><subject>Information systems</subject><subject>Marine aquaculture</subject><subject>Marine ecosystems</subject><subject>Marine fish</subject><subject>Oceanography</subject><subject>Public health</subject><subject>Remote sensing</subject><subject>Rivers</subject><subject>Temporal variations</subject><issn>2096-5508</issn><issn>2523-3521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UMtOwzAQtBBIVKUfwM0SVwxrO07tI6qgRarEoXC2HCdpUyVxsBOk3vgH_pAvwVGQOHHa18zs7iB0TeGOAizvAwBPOAGqiAQpyekMzZhgnHDB6HnMQaVECJCXaBHCEQAYSAZCzJDfdaavHOmLpnPe1PjD-GrstAG7Em-Mb8qhxqbex1lWO9eEWLh2j_tDga0zoR9x68G0-zy2b_HODXHkW7w6VK3B-eCriKZKwvfnFwOaXqGL0tShWPzGOXp7enxdbcj2Zf28etgSyyXrSWKsyMt4q5QASZYomykmM2sSUMxCqRKjBBUpE5wyw7nkmV0KWtJc2DxnwOfoZtLtvHsfitDroxt8G1dqpqikNAXFI4pOKOtdCL4odeerxviTpqBHd_Xkro7u6tFdfYocNnFCNz5X-D_l_0k_pp98ww</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Li, Li</creator><creator>Lü, Songhui</creator><creator>Cen, Jingyi</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>M7N</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20190301</creationdate><title>Spatio-temporal variations of Harmful algal blooms along the coast of Guangdong, Southern China during 1980–2016</title><author>Li, Li ; Lü, Songhui ; Cen, Jingyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-4ac5df00088004b49cb928bca4092c0f94a9515625312a3383bc751f1d5cdd203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algae</topic><topic>Algal blooms</topic><topic>Aquatic ecosystems</topic><topic>Bays</topic><topic>Coastal waters</topic><topic>Coasts</topic><topic>Distribution patterns</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecology</topic><topic>Estuaries</topic><topic>Estuarine dynamics</topic><topic>Eutrophication</topic><topic>Fisheries</topic><topic>Fishery industry</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Information processing</topic><topic>Information systems</topic><topic>Marine aquaculture</topic><topic>Marine ecosystems</topic><topic>Marine fish</topic><topic>Oceanography</topic><topic>Public health</topic><topic>Remote sensing</topic><topic>Rivers</topic><topic>Temporal variations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Li</creatorcontrib><creatorcontrib>Lü, Songhui</creatorcontrib><creatorcontrib>Cen, Jingyi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of oceanology and limnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Li</au><au>Lü, Songhui</au><au>Cen, Jingyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio-temporal variations of Harmful algal blooms along the coast of Guangdong, Southern China during 1980–2016</atitle><jtitle>Journal of oceanology and limnology</jtitle><stitle>J. Ocean. Limnol</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>37</volume><issue>2</issue><spage>535</spage><epage>551</epage><pages>535-551</pages><issn>2096-5508</issn><eissn>2523-3521</eissn><abstract>Harmful algal blooms (HAB) have become a recurring problem, posing severe impacts on marine ecosystems, fisheries, mariculture industry, and even public health. In this study, the geographic information system (GIS) was utilized to determine spatial and temporal characteristics of HAB events in the coastal waters of Guangdong from 1980–2016. We analyzed distribution patterns and characteristics of HABs by dividing the coast of Guangdong into well-known bays, estuary and coastal waters. Results showed that there were a total of 337 HABs recorded in Guangdong coastal waters. Spatial and temporal distributions varied among different regions. Most HABs occurred in the Mirs Bay, followed by the west coast of Daya Bay, while a few occurred in the west and east coasts of Guangdong but with an increasing trend in the past two decades. HABs occurred mostly in warmer months of March to May in the western coast of Guangdong, March and April in Mirs Bay, April in Zhujiang (Pearl) River estuary, November in eastern coast of Guangdong. For Daya Bay, most HABs were reported between March and September. The most frequently occurring HABs species were
Noctiluca scintillans, P haeocystis globosa, Skeletonema costatum
and
Scrippsiella trochoidea
, occurring mostly in Mirs Bay, western Guangdong coast area, eastern Guangdong coast area and Zhujiang River estuary and Daya Bay, respectively. Ichthyotoxic blooms were more common than toxic blooms, and
Heterosigma akashiwo, Chattonella marina, Karenia mikimotoi
and
P haeocystis
globosa were the most common ichthyotoxic species. Our results provide baseline information useful for policy making and management of HABs in the region.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s00343-019-8088-y</doi><tpages>17</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2096-5508 |
ispartof | Journal of oceanology and limnology, 2019-03, Vol.37 (2), p.535-551 |
issn | 2096-5508 2523-3521 |
language | eng |
recordid | cdi_proquest_journals_2918116093 |
source | ProQuest Central Essentials; ProQuest Central (Alumni Edition); ProQuest Central Student; ProQuest Central Korea; ProQuest Central UK/Ireland; Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings; ProQuest Central |
subjects | Algae Algal blooms Aquatic ecosystems Bays Coastal waters Coasts Distribution patterns Earth and Environmental Science Earth Sciences Ecology Estuaries Estuarine dynamics Eutrophication Fisheries Fishery industry Geographic information systems Geographical information systems Information processing Information systems Marine aquaculture Marine ecosystems Marine fish Oceanography Public health Remote sensing Rivers Temporal variations |
title | Spatio-temporal variations of Harmful algal blooms along the coast of Guangdong, Southern China during 1980–2016 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T23%3A03%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatio-temporal%20variations%20of%20Harmful%20algal%20blooms%20along%20the%20coast%20of%20Guangdong,%20Southern%20China%20during%201980%E2%80%932016&rft.jtitle=Journal%20of%20oceanology%20and%20limnology&rft.au=Li,%20Li&rft.date=2019-03-01&rft.volume=37&rft.issue=2&rft.spage=535&rft.epage=551&rft.pages=535-551&rft.issn=2096-5508&rft.eissn=2523-3521&rft_id=info:doi/10.1007/s00343-019-8088-y&rft_dat=%3Cproquest_cross%3E2918116093%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2918116093&rft_id=info:pmid/&rfr_iscdi=true |