Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index)
Phytoplankton blooms are sporadic events in time and isolated in space. This complex phenomenon is produced by a variety of both natural and anthropogenic causes. Early detection of this phenomenon, as well as the classification of a water body under conditions of bloom or non-bloom, remains an unre...
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doaj-1867fd25f2eb45d6bec5fe557fbd65202020-11-25T00:47:14ZengMDPI AGProceedings2504-39002017-11-012518710.3390/ecws-2-04956ecws-2-04956Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index)Jesús A. Aguilar-Maldonado0Eduardo Santamaría-del-Ángel1Adriana G. González-Silvera2Omar D. Cervantes-Rosas3Lus M. López4Angélica Gutiérrez-Magness5María-Teresa Sebastiá-Frasquet6Facultad de Ciencias Marinas, Universidad Autonoma de Baja California, Ensenada 22860, MexicoFacultad de Ciencias Marinas, Universidad Autonoma de Baja California, Ensenada 22860, MexicoFacultad de Ciencias Marinas, Universidad Autonoma de Baja California, Ensenada 22860, MexicoFacultad de Ciencias Marinas, Universidad de Colima, Manzanillo 28868, MexicoFacultad de Ciencias Marinas, Universidad Autonoma de Baja California, Ensenada 22860, MexicoNOAA—National Water Center (NWC), 1325 East West Highway, Silver Spring, MD 20910, USAInstitut d´Investigació per a la Gestió Integrada de Zones Costaneres, Universitat Politecnica de Valencia, Gandia 46730, SpainPhytoplankton blooms are sporadic events in time and isolated in space. This complex phenomenon is produced by a variety of both natural and anthropogenic causes. Early detection of this phenomenon, as well as the classification of a water body under conditions of bloom or non-bloom, remains an unresolved problem. This research proposes the use of Inherent Optical Properties (IOPs) in optically complex waters to detect the bloom or non-bloom state of the phytoplankton community. An IOP index is calculated from the absorption coefficients of the colored dissolved organic matter (CDOM), the phytoplankton (φ) and the detritus (d), using the wavelength (λ) 443 nm. The effectiveness of this index is tested in five bloom events in different places and with different characteristics from Mexican seas: (1) Dzilam (Caribbean Sea, Atlantic Ocean) a diatom bloom (Rhizosolenia hebetata); (2) Holbox (Caribbean Sea, Atlantic Ocean) a mixed bloom of dinoflagellates (Scrippsiella sp.) and diatoms (Chaetoceros sp.); (3) Campeche Bay in the Gulf of Mexico (Atlantic Ocean) a bloom of dinoflagellates (Karenia brevis); (4) Upper Gulf of California (UGC) (Pacific Ocean) a diatoms bloom (Planktoniella sol) and (5) Todos Santos Bay, Ensenada (Pacific Ocean) a dinoflagellates bloom (Lingulodinium polyedrum). The diversity of sites shows that the IOP index is a suitable method to determine the bloom conditions.https://www.mdpi.com/2504-3900/2/5/187absorption coefficientsphytoplanktondetritusCDOMwater qualitymonitoring |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jesús A. Aguilar-Maldonado Eduardo Santamaría-del-Ángel Adriana G. González-Silvera Omar D. Cervantes-Rosas Lus M. López Angélica Gutiérrez-Magness María-Teresa Sebastiá-Frasquet |
spellingShingle |
Jesús A. Aguilar-Maldonado Eduardo Santamaría-del-Ángel Adriana G. González-Silvera Omar D. Cervantes-Rosas Lus M. López Angélica Gutiérrez-Magness María-Teresa Sebastiá-Frasquet Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) Proceedings absorption coefficients phytoplankton detritus CDOM water quality monitoring |
author_facet |
Jesús A. Aguilar-Maldonado Eduardo Santamaría-del-Ángel Adriana G. González-Silvera Omar D. Cervantes-Rosas Lus M. López Angélica Gutiérrez-Magness María-Teresa Sebastiá-Frasquet |
author_sort |
Jesús A. Aguilar-Maldonado |
title |
Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) |
title_short |
Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) |
title_full |
Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) |
title_fullStr |
Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) |
title_full_unstemmed |
Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) |
title_sort |
identification of phytoplankton blooms under the index of inherent optical properties (iop index) |
publisher |
MDPI AG |
series |
Proceedings |
issn |
2504-3900 |
publishDate |
2017-11-01 |
description |
Phytoplankton blooms are sporadic events in time and isolated in space. This complex phenomenon is produced by a variety of both natural and anthropogenic causes. Early detection of this phenomenon, as well as the classification of a water body under conditions of bloom or non-bloom, remains an unresolved problem. This research proposes the use of Inherent Optical Properties (IOPs) in optically complex waters to detect the bloom or non-bloom state of the phytoplankton community. An IOP index is calculated from the absorption coefficients of the colored dissolved organic matter (CDOM), the phytoplankton (φ) and the detritus (d), using the wavelength (λ) 443 nm. The effectiveness of this index is tested in five bloom events in different places and with different characteristics from Mexican seas: (1) Dzilam (Caribbean Sea, Atlantic Ocean) a diatom bloom (Rhizosolenia hebetata); (2) Holbox (Caribbean Sea, Atlantic Ocean) a mixed bloom of dinoflagellates (Scrippsiella sp.) and diatoms (Chaetoceros sp.); (3) Campeche Bay in the Gulf of Mexico (Atlantic Ocean) a bloom of dinoflagellates (Karenia brevis); (4) Upper Gulf of California (UGC) (Pacific Ocean) a diatoms bloom (Planktoniella sol) and (5) Todos Santos Bay, Ensenada (Pacific Ocean) a dinoflagellates bloom (Lingulodinium polyedrum). The diversity of sites shows that the IOP index is a suitable method to determine the bloom conditions. |
topic |
absorption coefficients phytoplankton detritus CDOM water quality monitoring |
url |
https://www.mdpi.com/2504-3900/2/5/187 |
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