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A Tale of Two Drivers: Exploring the...

Sweet, Julia Anne.

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A Tale of Two Drivers: Exploring the Response of the Marine Diatom, Thalassiosira Pseudonana to Changes in Temperature and Irradiance.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Tale of Two Drivers: Exploring the Response of the Marine Diatom, Thalassiosira Pseudonana to Changes in Temperature and Irradiance./
Author:	Sweet, Julia Anne.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	71 p.
Notes:	Source: Masters Abstracts International, Volume: 82-04.
Contained By:	Masters Abstracts International82-04.
Subject:	Biological oceanography. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28092894
ISBN:	9798684682810

A Tale of Two Drivers: Exploring the Response of the Marine Diatom, Thalassiosira Pseudonana to Changes in Temperature and Irradiance.
Sweet, Julia Anne.

A Tale of Two Drivers: Exploring the Response of the Marine Diatom, Thalassiosira Pseudonana to Changes in Temperature and Irradiance. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 71 p.

Source: Masters Abstracts International, Volume: 82-04.

Thesis (M.Sc.)--University of California, Santa Barbara, 2020.

This item must not be sold to any third party vendors.

As human induced climate change continues to alter the world's oceans, it becomes increasingly important to hone the predictive power of models to understand the ecosystem level changes and challenges that the coming decades will bring. However, models are only as robust as the data upon which they are formulated, and the experimentation required to inform them must be based on an interconnected and concomitantly changing set of conditions. Phytoplankton, specifically diatoms, are a worthy focus group as they are particularly ecologically successful-and responsible for approximately 40% of marine primary production. By scrutinizing the potential effects of climate change onphytoplankton, the base of the marine food web, researchers can obtain crucial information upon which to build predictions for entire ecosystems. This series of experiments was designed to investigate the combined effects of temperature and light on the growth and photophysiology of two strains (one coastal and one open-ocean) of the diatom Thalassiosira pseudonana. The goal in producing this data-set is to add to the growing body of multi-stressor research which will aid in understanding the response of phytoplankton to future ocean conditions. This set of experiments takes advantage of advances in culturing techniques and utilizes a bioreactor (multicultivator Z160-OD) containing individual treatment vessels, thus allowing for the easy cultivation of diatoms under eight different light regimes at the same temperature. Through the use of higher treatment numbers across a gradient of conditions, we exploit the opportunity to detect and quantify potential non-linear response patterns.Our results show that the response of T. pseudonana to simultaneous changes in temperature and irradiance is dependent on the measured response trait, which suggests that interpretation of performance curves requires clear identification of all conditions under which they were generated. Our data also suggest subtle differences between the two strains in the response of growth rate at suboptimal irradiances. Over the range of temperatures tested in these experiments where growth was possible, temperature proved unimportant to the growth rate of the open ocean strain (CCMP 1014) at suboptimal light levels. Whereas the coastal strain (CCMP 1335) demonstrated an interactive relationship between light and temperature at suboptimal irradiances. As temperatures were pushed above the optimal, the cellular characteristics of carbon content and size of the open ocean strain exhibit a clear split based upon irradiance; with high light leading to large carbon-poor cells and low light resulting in small, carbon-dense cells. Our findings also support the idea that the relationship between growth rate and cellular carbon content, while complex and non-linear, is likely predictable. The "choices" and energy trade-offs employed by this species of diatom under the simplified set of experimental conditions in this study, highlight the importance of having clear understandings of the mechanisms driving these changes before they are incorporated into models, as hypothetical outcomes could be missed if only values obtained under specific ranges are used for prediction.

ISBN: 9798684682810Subjects--Topical Terms:

2122748
Biological oceanography.
Subjects--Index Terms:

Climate change

A Tale of Two Drivers: Exploring the Response of the Marine Diatom, Thalassiosira Pseudonana to Changes in Temperature and Irradiance.
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500 $a Source: Masters Abstracts International, Volume: 82-04.
500 $a Advisor: Passow, Uta;Iglesias-Rodriguez, M Debora.
502 $a Thesis (M.Sc.)--University of California, Santa Barbara, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a As human induced climate change continues to alter the world's oceans, it becomes increasingly important to hone the predictive power of models to understand the ecosystem level changes and challenges that the coming decades will bring. However, models are only as robust as the data upon which they are formulated, and the experimentation required to inform them must be based on an interconnected and concomitantly changing set of conditions. Phytoplankton, specifically diatoms, are a worthy focus group as they are particularly ecologically successful-and responsible for approximately 40% of marine primary production. By scrutinizing the potential effects of climate change onphytoplankton, the base of the marine food web, researchers can obtain crucial information upon which to build predictions for entire ecosystems. This series of experiments was designed to investigate the combined effects of temperature and light on the growth and photophysiology of two strains (one coastal and one open-ocean) of the diatom Thalassiosira pseudonana. The goal in producing this data-set is to add to the growing body of multi-stressor research which will aid in understanding the response of phytoplankton to future ocean conditions. This set of experiments takes advantage of advances in culturing techniques and utilizes a bioreactor (multicultivator Z160-OD) containing individual treatment vessels, thus allowing for the easy cultivation of diatoms under eight different light regimes at the same temperature. Through the use of higher treatment numbers across a gradient of conditions, we exploit the opportunity to detect and quantify potential non-linear response patterns.Our results show that the response of T. pseudonana to simultaneous changes in temperature and irradiance is dependent on the measured response trait, which suggests that interpretation of performance curves requires clear identification of all conditions under which they were generated. Our data also suggest subtle differences between the two strains in the response of growth rate at suboptimal irradiances. Over the range of temperatures tested in these experiments where growth was possible, temperature proved unimportant to the growth rate of the open ocean strain (CCMP 1014) at suboptimal light levels. Whereas the coastal strain (CCMP 1335) demonstrated an interactive relationship between light and temperature at suboptimal irradiances. As temperatures were pushed above the optimal, the cellular characteristics of carbon content and size of the open ocean strain exhibit a clear split based upon irradiance; with high light leading to large carbon-poor cells and low light resulting in small, carbon-dense cells. Our findings also support the idea that the relationship between growth rate and cellular carbon content, while complex and non-linear, is likely predictable. The "choices" and energy trade-offs employed by this species of diatom under the simplified set of experimental conditions in this study, highlight the importance of having clear understandings of the mechanisms driving these changes before they are incorporated into models, as hypothetical outcomes could be missed if only values obtained under specific ranges are used for prediction.
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