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A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing
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Zeitschriftentitel: | Journal of Geophysical Research: Oceans |
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Personen und Körperschaften: | , |
In: | Journal of Geophysical Research: Oceans, 113, 2008, C6 |
Format: | E-Article |
Sprache: | Englisch |
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American Geophysical Union (AGU)
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Schlagwörter: |
author_facet |
Green, Rebecca E. Gould, Richard W. Green, Rebecca E. Gould, Richard W. |
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author |
Green, Rebecca E. Gould, Richard W. |
spellingShingle |
Green, Rebecca E. Gould, Richard W. Journal of Geophysical Research: Oceans A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
author_sort |
green, rebecca e. |
spelling |
Green, Rebecca E. Gould, Richard W. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2007jc004594 <jats:p>We investigated environmental forcing mechanisms of phytoplankton absorption near the Mississippi River delta using multiyear satellite data. An algorithm for the phytoplankton absorption coefficient (<jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub>) was developed from in situ measurements and applied to ocean color imagery. We employed a suite of chemical and physical forcing variables, including surface currents. For satellite‐derived <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> time series (2002–2004), correlation and stepwise regression analyses revealed the most important forcing variables of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> on the Louisiana shelf. Areally, Mississippi River discharge and nitrate concentration ([NO<jats:sub>3</jats:sub>]) were the two most important predictors of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone (defined by its maximum extent). River discharge was important in a band stretching from the Mississippi River delta to the Louisiana‐Texas border. Riverine [NO<jats:sub>3</jats:sub>] and wind magnitude best predicted <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> in nearshore waters, and solar radiation and SST were most important farther offshore over the hypoxic zone, indicating upwelled nutrient sources to phytoplankton. A multiple linear regression model performed well in resolving seasonal and interannual <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> variability in model development years (2002–2004) (mean error of 18%, over all pixels and months) and in predicting shelf‐wide <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> patterns in 2005 (mean error of 32%). Our results strongly suggest that in recent years, stratification and vertical mixing, in addition to riverine [NO<jats:sub>3</jats:sub>], play a primary role in regulating phytoplankton biomass over the hypoxic zone. As well, a springtime model experiment showed that <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone can differ by an average absolute 37% from its average scenario owing to changes solely in environmental variables other than NO<jats:sub>3</jats:sub> flux.</jats:p> A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing Journal of Geophysical Research: Oceans |
doi_str_mv |
10.1029/2007jc004594 |
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Online Free |
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Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft Biologie Allgemeine Naturwissenschaft Physik Technik Geologie und Paläontologie Geographie Chemie und Pharmazie |
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American Geophysical Union (AGU), 2008 |
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American Geophysical Union (AGU), 2008 |
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2008 |
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American Geophysical Union (AGU) |
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Journal of Geophysical Research: Oceans |
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title |
A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_unstemmed |
A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_full |
A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_fullStr |
A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_full_unstemmed |
A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_short |
A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_sort |
a predictive model for satellite‐derived phytoplankton absorption over the louisiana shelf hypoxic zone: effects of nutrients and physical forcing |
topic |
Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
url |
http://dx.doi.org/10.1029/2007jc004594 |
publishDate |
2008 |
physical |
|
description |
<jats:p>We investigated environmental forcing mechanisms of phytoplankton absorption near the Mississippi River delta using multiyear satellite data. An algorithm for the phytoplankton absorption coefficient (<jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub>) was developed from in situ measurements and applied to ocean color imagery. We employed a suite of chemical and physical forcing variables, including surface currents. For satellite‐derived <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> time series (2002–2004), correlation and stepwise regression analyses revealed the most important forcing variables of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> on the Louisiana shelf. Areally, Mississippi River discharge and nitrate concentration ([NO<jats:sub>3</jats:sub>]) were the two most important predictors of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone (defined by its maximum extent). River discharge was important in a band stretching from the Mississippi River delta to the Louisiana‐Texas border. Riverine [NO<jats:sub>3</jats:sub>] and wind magnitude best predicted <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> in nearshore waters, and solar radiation and SST were most important farther offshore over the hypoxic zone, indicating upwelled nutrient sources to phytoplankton. A multiple linear regression model performed well in resolving seasonal and interannual <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> variability in model development years (2002–2004) (mean error of 18%, over all pixels and months) and in predicting shelf‐wide <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> patterns in 2005 (mean error of 32%). Our results strongly suggest that in recent years, stratification and vertical mixing, in addition to riverine [NO<jats:sub>3</jats:sub>], play a primary role in regulating phytoplankton biomass over the hypoxic zone. As well, a springtime model experiment showed that <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone can differ by an average absolute 37% from its average scenario owing to changes solely in environmental variables other than NO<jats:sub>3</jats:sub> flux.</jats:p> |
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author | Green, Rebecca E., Gould, Richard W. |
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description | <jats:p>We investigated environmental forcing mechanisms of phytoplankton absorption near the Mississippi River delta using multiyear satellite data. An algorithm for the phytoplankton absorption coefficient (<jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub>) was developed from in situ measurements and applied to ocean color imagery. We employed a suite of chemical and physical forcing variables, including surface currents. For satellite‐derived <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> time series (2002–2004), correlation and stepwise regression analyses revealed the most important forcing variables of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> on the Louisiana shelf. Areally, Mississippi River discharge and nitrate concentration ([NO<jats:sub>3</jats:sub>]) were the two most important predictors of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone (defined by its maximum extent). River discharge was important in a band stretching from the Mississippi River delta to the Louisiana‐Texas border. Riverine [NO<jats:sub>3</jats:sub>] and wind magnitude best predicted <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> in nearshore waters, and solar radiation and SST were most important farther offshore over the hypoxic zone, indicating upwelled nutrient sources to phytoplankton. A multiple linear regression model performed well in resolving seasonal and interannual <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> variability in model development years (2002–2004) (mean error of 18%, over all pixels and months) and in predicting shelf‐wide <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> patterns in 2005 (mean error of 32%). Our results strongly suggest that in recent years, stratification and vertical mixing, in addition to riverine [NO<jats:sub>3</jats:sub>], play a primary role in regulating phytoplankton biomass over the hypoxic zone. As well, a springtime model experiment showed that <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone can differ by an average absolute 37% from its average scenario owing to changes solely in environmental variables other than NO<jats:sub>3</jats:sub> flux.</jats:p> |
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imprint | American Geophysical Union (AGU), 2008 |
imprint_str_mv | American Geophysical Union (AGU), 2008 |
institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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match_str | green2008apredictivemodelforsatellitederivedphytoplanktonabsorptionoverthelouisianashelfhypoxiczoneeffectsofnutrientsandphysicalforcing |
mega_collection | American Geophysical Union (AGU) (CrossRef) |
physical | |
publishDate | 2008 |
publishDateSort | 2008 |
publisher | American Geophysical Union (AGU) |
record_format | ai |
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series | Journal of Geophysical Research: Oceans |
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spelling | Green, Rebecca E. Gould, Richard W. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2007jc004594 <jats:p>We investigated environmental forcing mechanisms of phytoplankton absorption near the Mississippi River delta using multiyear satellite data. An algorithm for the phytoplankton absorption coefficient (<jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub>) was developed from in situ measurements and applied to ocean color imagery. We employed a suite of chemical and physical forcing variables, including surface currents. For satellite‐derived <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> time series (2002–2004), correlation and stepwise regression analyses revealed the most important forcing variables of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> on the Louisiana shelf. Areally, Mississippi River discharge and nitrate concentration ([NO<jats:sub>3</jats:sub>]) were the two most important predictors of <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone (defined by its maximum extent). River discharge was important in a band stretching from the Mississippi River delta to the Louisiana‐Texas border. Riverine [NO<jats:sub>3</jats:sub>] and wind magnitude best predicted <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> in nearshore waters, and solar radiation and SST were most important farther offshore over the hypoxic zone, indicating upwelled nutrient sources to phytoplankton. A multiple linear regression model performed well in resolving seasonal and interannual <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> variability in model development years (2002–2004) (mean error of 18%, over all pixels and months) and in predicting shelf‐wide <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> patterns in 2005 (mean error of 32%). Our results strongly suggest that in recent years, stratification and vertical mixing, in addition to riverine [NO<jats:sub>3</jats:sub>], play a primary role in regulating phytoplankton biomass over the hypoxic zone. As well, a springtime model experiment showed that <jats:italic>a</jats:italic><jats:sub><jats:italic>ph</jats:italic></jats:sub> over the hypoxic zone can differ by an average absolute 37% from its average scenario owing to changes solely in environmental variables other than NO<jats:sub>3</jats:sub> flux.</jats:p> A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing Journal of Geophysical Research: Oceans |
spellingShingle | Green, Rebecca E., Gould, Richard W., Journal of Geophysical Research: Oceans, A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
title | A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_full | A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_fullStr | A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_full_unstemmed | A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_short | A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
title_sort | a predictive model for satellite‐derived phytoplankton absorption over the louisiana shelf hypoxic zone: effects of nutrients and physical forcing |
title_unstemmed | A predictive model for satellite‐derived phytoplankton absorption over the Louisiana shelf hypoxic zone: Effects of nutrients and physical forcing |
topic | Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
url | http://dx.doi.org/10.1029/2007jc004594 |