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A Modeling Study of the Biogoechemic...

Sherman, Elliot Michael.

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A Modeling Study of the Biogoechemical Cycling of Iron, Ligands, and Phytoplankton in the Ocean.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Modeling Study of the Biogoechemical Cycling of Iron, Ligands, and Phytoplankton in the Ocean./
Author:	Sherman, Elliot Michael.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	117 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
Subject:	Biogeochemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10251290
ISBN:	9781369688702

A Modeling Study of the Biogoechemical Cycling of Iron, Ligands, and Phytoplankton in the Ocean.
Sherman, Elliot Michael.

A Modeling Study of the Biogoechemical Cycling of Iron, Ligands, and Phytoplankton in the Ocean. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 117 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2017.

This item is not available from ProQuest Dissertations & Theses.

Iron is a key micronutrient for marine biogeochemistry, limiting growth and nitrogen fixation in over a third of the ocean. However, the impacts of iron-binding ligands and iron source processes on dissolved iron distributions is not well known. The goal of this dissertation is to better understand the cycling of iron-binding ligands and the controls on their distributions and how that impacts dissolved iron. This dissertation also seeks to understand how individual iron sources influence iron distributions and biogeochemistry. To accomplish this, a new prognostic ligand tracer and iron-ligand speciation chemistry are incorporated into the Community Earth System Model (CESM). The CESM is now able to simulate realistic distributions of iron-binding ligands. The results show that with relatively few ligand sources and sinks the model was able to match observations of ligands, and that inclusion of a dynamic ligand tracer improves simulation of dissolved iron. To better understand the influence iron sources have on dissolved iron concentrations and biogeochemistry, sensitivity experiments for each source are conducted with the CESM. The results show that atmospheric dust and sedimentary iron inputs have the largest impact on dissolved iron concentrations and biogeochemistry. Hydrothermal vent inputs are important for deep ocean iron, and their inclusion in global biogeochemical ocean models would allow for more realistic iron simulation.

ISBN: 9781369688702Subjects--Topical Terms:

545717
Biogeochemistry.

A Modeling Study of the Biogoechemical Cycling of Iron, Ligands, and Phytoplankton in the Ocean.
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020 $a 9781369688702
035 $a (MiAaPQ)AAI10251290
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040 $a MiAaPQ $c MiAaPQ
100 1 $a Sherman, Elliot Michael. $3 3286652
245 1 2 $a A Modeling Study of the Biogoechemical Cycling of Iron, Ligands, and Phytoplankton in the Ocean.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 117 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
500 $a Adviser: Jefferson K. Moore.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Iron is a key micronutrient for marine biogeochemistry, limiting growth and nitrogen fixation in over a third of the ocean. However, the impacts of iron-binding ligands and iron source processes on dissolved iron distributions is not well known. The goal of this dissertation is to better understand the cycling of iron-binding ligands and the controls on their distributions and how that impacts dissolved iron. This dissertation also seeks to understand how individual iron sources influence iron distributions and biogeochemistry. To accomplish this, a new prognostic ligand tracer and iron-ligand speciation chemistry are incorporated into the Community Earth System Model (CESM). The CESM is now able to simulate realistic distributions of iron-binding ligands. The results show that with relatively few ligand sources and sinks the model was able to match observations of ligands, and that inclusion of a dynamic ligand tracer improves simulation of dissolved iron. To better understand the influence iron sources have on dissolved iron concentrations and biogeochemistry, sensitivity experiments for each source are conducted with the CESM. The results show that atmospheric dust and sedimentary iron inputs have the largest impact on dissolved iron concentrations and biogeochemistry. Hydrothermal vent inputs are important for deep ocean iron, and their inclusion in global biogeochemical ocean models would allow for more realistic iron simulation.
520 $a This dissertation work also reevaluates the parameters governing the temperature influence on community phytoplankton growth rates. A dataset of in situ community phytoplankton growth rates was compiled and parameter values for the Q10 and Arrhenius models were optimized for use in global biogeochemical and ecosystem models. The results show and optimized Q10 value of 1.47 and an activation energy of 0.277 eV. Both the Q10 and Arrhenius models do equally well for estimating the temperature influence on community phytoplankton growth rates against the dataset. Evaluation of global biogeochemical and ecosystem models against our dataset will allow for further constraints on phytoplankton ecology and associated biogeochemitry.
590 $a School code: 0030.
650 4 $a Biogeochemistry. $3 545717
650 4 $a Environmental science. $3 677245
650 4 $a Biological oceanography. $3 2122748
690 $a 0425
690 $a 0768
690 $a 0416
710 2 $a University of California, Irvine. $b Earth System Science. $3 3174192
773 0 $t Dissertation Abstracts International $g 78-08B(E).
790 $a 0030
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10251290