東華大學圖書館 |

語系: 繁體中文

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

FindBook

Google Book

Amazon

博客來

Using a High Resolution, Mechanistic Model of Filtration, Biodeposition, Hydrodynamics, and Sediment Biodgeochemistry in Order To Understand the Driving Forces Behind Nitrogen Dynamics on Oyster Reefs.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using a High Resolution, Mechanistic Model of Filtration, Biodeposition, Hydrodynamics, and Sediment Biodgeochemistry in Order To Understand the Driving Forces Behind Nitrogen Dynamics on Oyster Reefs./
作者:	Kahover, Kevin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	114 p.
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Biological oceanography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28965405
ISBN:	9798834015017

Using a High Resolution, Mechanistic Model of Filtration, Biodeposition, Hydrodynamics, and Sediment Biodgeochemistry in Order To Understand the Driving Forces Behind Nitrogen Dynamics on Oyster Reefs.
Kahover, Kevin.

Using a High Resolution, Mechanistic Model of Filtration, Biodeposition, Hydrodynamics, and Sediment Biodgeochemistry in Order To Understand the Driving Forces Behind Nitrogen Dynamics on Oyster Reefs. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 114 p.

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of Maryland, College Park, 2022.

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

The overarching goal of this work was to develop a modeling tool that can provide quantitative predictions of ecosystem services related to N removal and biomass production using oyster restoration metrics such as reef size and oyster planting densities. I expanded the predictive capability of an existing advection-diffusion model of particle capture on an oyster reef to incorporate oyster biodeposit production, transport, and relationship to nutrient cycling. The resulting oyster reef filtration, biodeposition, and ecosystem services model (ReeFBioDES) utilizes modeled or measured current velocities, temperature, salinity, and chlorophyll-a in a given reef environment (reef length, oyster size and density) to predict spatial patterns of biodeposition production, transport, and denitrification. I applied the model at Little Neck Reef in Harris Creek (Choptank River) over an annual cycle for a range of oyster densities and found the model reproduced both the spatial dynamics of along-reef water-column concentrations of TSS, as well as generating rates of on-reef denitrification that are comparable to recently measured rates in experimental incubations of intact oyster clumps from Harris Creek. The model is now available for scenarios simulations to quantify ecosystem services associated with ongoing and future oyster restoration sites in Chesapeake Bay and other temperate coastal ecosystems that C. virginica occupies.

ISBN: 9798834015017Subjects--Topical Terms:

2122748
Biological oceanography.
Subjects--Index Terms:

Biodeposition

Using a High Resolution, Mechanistic Model of Filtration, Biodeposition, Hydrodynamics, and Sediment Biodgeochemistry in Order To Understand the Driving Forces Behind Nitrogen Dynamics on Oyster Reefs.
LDR:02752nmm a2200385 4500 001 2348191
005 20220908122956.5
008 241004s2022 ||||||||||||||||| ||eng d
020 $a 9798834015017
035 $a (MiAaPQ)AAI28965405
035 $a AAI28965405
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kahover, Kevin. $3 3687512
245 1 0 $a Using a High Resolution, Mechanistic Model of Filtration, Biodeposition, Hydrodynamics, and Sediment Biodgeochemistry in Order To Understand the Driving Forces Behind Nitrogen Dynamics on Oyster Reefs.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 114 p.
500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: Harris, Lora;Testa, Jeremy.
502 $a Thesis (M.S.)--University of Maryland, College Park, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a The overarching goal of this work was to develop a modeling tool that can provide quantitative predictions of ecosystem services related to N removal and biomass production using oyster restoration metrics such as reef size and oyster planting densities. I expanded the predictive capability of an existing advection-diffusion model of particle capture on an oyster reef to incorporate oyster biodeposit production, transport, and relationship to nutrient cycling. The resulting oyster reef filtration, biodeposition, and ecosystem services model (ReeFBioDES) utilizes modeled or measured current velocities, temperature, salinity, and chlorophyll-a in a given reef environment (reef length, oyster size and density) to predict spatial patterns of biodeposition production, transport, and denitrification. I applied the model at Little Neck Reef in Harris Creek (Choptank River) over an annual cycle for a range of oyster densities and found the model reproduced both the spatial dynamics of along-reef water-column concentrations of TSS, as well as generating rates of on-reef denitrification that are comparable to recently measured rates in experimental incubations of intact oyster clumps from Harris Creek. The model is now available for scenarios simulations to quantify ecosystem services associated with ongoing and future oyster restoration sites in Chesapeake Bay and other temperate coastal ecosystems that C. virginica occupies.
590 $a School code: 0117.
650 4 $a Biological oceanography. $3 2122748
650 4 $a Ecology. $3 516476
650 4 $a Biogeochemistry. $3 545717
653 $a Biodeposition
653 $a Ecosystem model
653 $a Hydrodynamics
653 $a Nitrogen dynamics
653 $a Oyster reefs
653 $a Stress partitioning
690 $a 0416
690 $a 0329
690 $a 0425
710 2 $a University of Maryland, College Park. $b Marine-Estuarine-Environmental Sciences. $3 1023615
773 0 $t Masters Abstracts International $g 83-12.
790 $a 0117
791 $a M.S.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28965405