國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Coastal ecosystem response to varyin...

May, Christine Lynn.

Coastal ecosystem response to varying light and nutrient conditions.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Coastal ecosystem response to varying light and nutrient conditions.
作者:	May, Christine Lynn.
面頁冊數:	225 p.
附註:	Adviser: Jeffrey R. Koseff.
附註:	Source: Dissertation Abstracts International, Volume: 65-11, Section: B, page: 5966.
Contained By:	Dissertation Abstracts International65-11B.
標題:	Engineering, Environmental.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3153501
ISBN:	0496137859

Coastal ecosystem response to varying light and nutrient conditions.
May, Christine Lynn.

Coastal ecosystem response to varying light and nutrient conditions. - 225 p.

Adviser: Jeffrey R. Koseff.

Thesis (Ph.D.)--Stanford University, 2005.

A central challenge of coastal ecology is sorting out the interacting spatial and temporal components of environmental variability that combine to drive changes in phytoplankton biomass in shallow, nutrient rich coastal waters having complex bathymetry and influenced by tides, wind and river flow. In this study, we investigate light- and nutrient-limited phytoplankton growth using one-dimensional (1D), pseudo-two-dimensional (Pseudo2D), and three-dimensional (3D) numerical models.

ISBN: 0496137859Subjects--Topical Terms:

212478
Engineering, Environmental.

Coastal ecosystem response to varying light and nutrient conditions.
LDR:03465nmm _2200301 _450 001 167290
005 20061005085841.5
008 090528s2005 eng d
020 $a 0496137859
035 $a 00197906
040 $a UnM $c UnM
100 0 $a May, Christine Lynn. $3 237436
245 1 0 $a Coastal ecosystem response to varying light and nutrient conditions.
300 $a 225 p.
500 $a Adviser: Jeffrey R. Koseff.
500 $a Source: Dissertation Abstracts International, Volume: 65-11, Section: B, page: 5966.
502 $a Thesis (Ph.D.)--Stanford University, 2005.
520 # $a A central challenge of coastal ecology is sorting out the interacting spatial and temporal components of environmental variability that combine to drive changes in phytoplankton biomass in shallow, nutrient rich coastal waters having complex bathymetry and influenced by tides, wind and river flow. In this study, we investigate light- and nutrient-limited phytoplankton growth using one-dimensional (1D), pseudo-two-dimensional (Pseudo2D), and three-dimensional (3D) numerical models.
520 # $a Additionally, the 3D model was used to examine estuarine response under an array flushing times and nutrient loadings. We found that as tidal range, and therefore tidal energy and suspended sediment concentrations, increase, the system shifts from being nutrient limited, to nutrient and light limited, to being entirely light limited. Our analyses using idealized estuaries supported previous findings for real estuarine systems relating mean chlorophyll and dissolved inorganic nitrogen concentrations to tidal range, and relating increased nitrogen export to increased residence times, validating the use of idealized models to investigate coastal ecosystem response to varying light and nutrient conditions.
520 # $a The 1D and Pseudo2D models allowed us to explore the sensitivity of phytoplankton dynamics to spatial and temporal turbidity variations. The three main conclusions of this study are: (1) the timing of the wind with semidiurnal tides and the spring-neap cycle can significantly enhance variability in turbidity and phytoplankton biomass; (2) fetch is a significant factor affecting phytoplankton dynamics by enhancing and/or creating spatial variability in turbidity; and (3) it is possible to parameterize the combined effect of the processes influencing turbidity with 2 indices for vertical and horizontal clearing of the water column. These 2 indices determine under what conditions a phytoplankton bloom can occur, and whether a potential bloom is locally supported or system-wide in scale.
520 # $a The 3D model allowed us to explore the effects of wind and wind-wave sediment resuspension on phytoplankton bloom development when fetch is determined more realistically by wind direction and bathymetry. In an idealized shallow lagoon, we found that wind can control the spatial distribution of phytoplankton biomass by determining the location of light limited regions, thus affecting the distribution of nutrient limited regions and shifting the regions of positive growth.
590 $a School code: 0212.
650 # 0 $a Engineering, Environmental. $3 212478
650 # 0 $a Engineering, Civil. $3 212394
690 $a 0543
690 $a 0775
710 0 # $a Stanford University. $3 212607
773 0 # $g 65-11B. $t Dissertation Abstracts International
790 $a 0212
790 1 0 $a Koseff, Jeffrey R., $e advisor
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://libsw.nuk.edu.tw:81/login?url=http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3153501 $z http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3153501