語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Drivers Of Carbon And Oxygen Dynamic...
~
Wang, Hongjie.
FindBook
Google Book
Amazon
博客來
Drivers Of Carbon And Oxygen Dynamics In Disparate Marine Ecosystems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Drivers Of Carbon And Oxygen Dynamics In Disparate Marine Ecosystems./
作者:
Wang, Hongjie.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
163 p.
附註:
Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
Contained By:
Dissertations Abstracts International79-12B.
標題:
Chemical Oceanography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10789881
ISBN:
9780355984446
Drivers Of Carbon And Oxygen Dynamics In Disparate Marine Ecosystems.
Wang, Hongjie.
Drivers Of Carbon And Oxygen Dynamics In Disparate Marine Ecosystems.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 163 p.
Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
Thesis (Ph.D.)--Texas A&M University - Corpus Christi, 2018.
This item is not available from ProQuest Dissertations & Theses.
Determining the change of sea surface CO2 fugacity ( fCO2) is important as the fCO2 gradient between the atmosphere and the ocean dictates the direction of CO 2 flux and the fate of this greenhouse gas. While substantial efforts have been dedicated to the study of fCO2 trends in the open ocean, little is known regarding how fCO 2 levels change in ocean margins. Meanwhile, hypoxia (i.e., dissolved oxygen concentration, or DO, less than 2 mg L-1) is becoming an increasing global threat in coastal areas. Elucidating the carbon sources that consume DO is important because it helps to make proper mitigation plans. In Chapter II, I used a newly available, community-based global CO 2 database (Surface Ocean CO2 Atlas version 3) to develop a new statistical approach based on Generalized Additive Mixed Modeling (GAMM) to interpret oceanic fCO2 changes in ocean margins. This method utilized Julian day of year, sea surface salinity, sea surface temperature, and sampling date as predictors. Using the GAMM method, I was able to derive multi-decadal fCO2 trends with both improved precision and greater robustness to data gaps compared to the existing method. In Chapter III, I used the GAMM method on global ocean margins (within 400 km from the shore and 30 °S-70 °N) and found that fCO2 trends closely followed the atmospheric fCO2 increase rate. Further analysis suggested that fCO2 trends in Western Boundary Current- and Eastern Boundary Current-influenced areas differed in response to thermal (temperature) and nonthermal (chemical and biological) effects. These differences were due to heterogonous physical, chemical, and biological responses under climate change forcing, leading to divergent trends in CO2 sinks and sources among different ocean margins. To address the hypoxia formation mechanism question, I adopted the stable carbon isotope (δ13C) of dissolved inorganic carbon (or DIC, the end product of organic carbon degradation) as a proxy to trace back the δ13C of remineralized organic carbon that was responsible for DO consumption in the northern Gulf of Mexico (Chapter IV) and two semi-arid coastal bays in south Texas (Baffin Bay and Oso Bay) (Chapter V), the two areas that both experience seasonal bottom water hypoxia. My findings suggested that terrestrial carbon contributed to oxygen consumption in limited extent and mostly focused in areas where river water influence was significant in the northern Gulf of Mexico, while for the vast shelf areas marine-produced organic carbon was the dominant contributor to hypoxia formation. In Baffin Bay and Oso Bay, however, phytoplankton, seagrass/marsh organic carbon, and refractory terrestrial organic carbon all contributed to the DO loss under different hydrological conditions. This study provided a comprehensive data-driven analysis on ocean margin fCO2 changes on a multi-decadal timescale and revealed different behaviors of the two types of boundary current-dominated systems. Regarding the hypoxia formation mechanism in the different coastal and estuarine environments, my study suggested that eutrophication remained the top stressor that could lead to hypoxia formation. Therefore, sustained efforts that focus on reducing nutrient pollution should still be carried out to mitigate the hypoxia stress for the both ecologically and economically important coastal and estuarine systems.
ISBN: 9780355984446Subjects--Topical Terms:
1674678
Chemical Oceanography.
Subjects--Index Terms:
CO2 temporal trend
Drivers Of Carbon And Oxygen Dynamics In Disparate Marine Ecosystems.
LDR
:04775nmm a2200421 4500
001
2272202
005
20201105105957.5
008
220629s2018 ||||||||||||||||| ||eng d
020
$a
9780355984446
035
$a
(MiAaPQ)AAI10789881
035
$a
(MiAaPQ)tamucc:10338
035
$a
AAI10789881
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Wang, Hongjie.
$3
3549633
245
1 0
$a
Drivers Of Carbon And Oxygen Dynamics In Disparate Marine Ecosystems.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
163 p.
500
$a
Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
500
$a
Publisher info.: Dissertation/Thesis.
500
$a
Advisor: Hu, Xinping.
502
$a
Thesis (Ph.D.)--Texas A&M University - Corpus Christi, 2018.
506
$a
This item is not available from ProQuest Dissertations & Theses.
506
$a
This item must not be sold to any third party vendors.
520
$a
Determining the change of sea surface CO2 fugacity ( fCO2) is important as the fCO2 gradient between the atmosphere and the ocean dictates the direction of CO 2 flux and the fate of this greenhouse gas. While substantial efforts have been dedicated to the study of fCO2 trends in the open ocean, little is known regarding how fCO 2 levels change in ocean margins. Meanwhile, hypoxia (i.e., dissolved oxygen concentration, or DO, less than 2 mg L-1) is becoming an increasing global threat in coastal areas. Elucidating the carbon sources that consume DO is important because it helps to make proper mitigation plans. In Chapter II, I used a newly available, community-based global CO 2 database (Surface Ocean CO2 Atlas version 3) to develop a new statistical approach based on Generalized Additive Mixed Modeling (GAMM) to interpret oceanic fCO2 changes in ocean margins. This method utilized Julian day of year, sea surface salinity, sea surface temperature, and sampling date as predictors. Using the GAMM method, I was able to derive multi-decadal fCO2 trends with both improved precision and greater robustness to data gaps compared to the existing method. In Chapter III, I used the GAMM method on global ocean margins (within 400 km from the shore and 30 °S-70 °N) and found that fCO2 trends closely followed the atmospheric fCO2 increase rate. Further analysis suggested that fCO2 trends in Western Boundary Current- and Eastern Boundary Current-influenced areas differed in response to thermal (temperature) and nonthermal (chemical and biological) effects. These differences were due to heterogonous physical, chemical, and biological responses under climate change forcing, leading to divergent trends in CO2 sinks and sources among different ocean margins. To address the hypoxia formation mechanism question, I adopted the stable carbon isotope (δ13C) of dissolved inorganic carbon (or DIC, the end product of organic carbon degradation) as a proxy to trace back the δ13C of remineralized organic carbon that was responsible for DO consumption in the northern Gulf of Mexico (Chapter IV) and two semi-arid coastal bays in south Texas (Baffin Bay and Oso Bay) (Chapter V), the two areas that both experience seasonal bottom water hypoxia. My findings suggested that terrestrial carbon contributed to oxygen consumption in limited extent and mostly focused in areas where river water influence was significant in the northern Gulf of Mexico, while for the vast shelf areas marine-produced organic carbon was the dominant contributor to hypoxia formation. In Baffin Bay and Oso Bay, however, phytoplankton, seagrass/marsh organic carbon, and refractory terrestrial organic carbon all contributed to the DO loss under different hydrological conditions. This study provided a comprehensive data-driven analysis on ocean margin fCO2 changes on a multi-decadal timescale and revealed different behaviors of the two types of boundary current-dominated systems. Regarding the hypoxia formation mechanism in the different coastal and estuarine environments, my study suggested that eutrophication remained the top stressor that could lead to hypoxia formation. Therefore, sustained efforts that focus on reducing nutrient pollution should still be carried out to mitigate the hypoxia stress for the both ecologically and economically important coastal and estuarine systems.
590
$a
School code: 1417.
650
4
$a
Chemical Oceanography.
$3
1674678
650
4
$a
Biogeochemistry.
$3
545717
650
4
$a
Environmental science.
$3
677245
653
$a
CO2 temporal trend
653
$a
Carbon cycle
653
$a
Generalized additive mixed modeling
653
$a
Hypoxia
653
$a
Ocean margin
653
$a
Stable carbon isotope
690
$a
0403
690
$a
0425
690
$a
0768
710
2
$a
Texas A&M University - Corpus Christi.
$b
Coastal and Marine System Science.
$3
3549634
773
0
$t
Dissertations Abstracts International
$g
79-12B.
790
$a
1417
791
$a
Ph.D.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10789881
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9424436
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入