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

Effects of Model Design and Environm...

Reynolds, Julia Mae.

FindBook

Google Book

Amazon

博客來

Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance./
作者:	Reynolds, Julia Mae.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	123 p.
附註:	Source: Masters Abstracts International, Volume: 57-05.
Contained By:	Masters Abstracts International57-05(E).
標題:	Aquatic sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10746023
ISBN:	9780355780963

Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance.
Reynolds, Julia Mae.

Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 123 p.

Source: Masters Abstracts International, Volume: 57-05.

Thesis (M.S.)--College of Charleston, 2017.

As growing human populations put an increasing demand on finite ocean resources, fisheries management tools rely ever more on high quality inputs and a comprehensive understanding of model factors. Stock assessment modeling for South Atlantic (SA) King Mackerel, Scomberomorus cavalla , uses inputs such as abundance indices, growth parameters, and fisheries landings. However, one underlying assumption in this modeling system is there are measurable connections among life stages. A juvenile abundance index developed from the SEAMAP-SA Coastal Trawl Survey (CTS) is presumed to represent ecological recruitment. Very weak correlations to other life stage proxies suggested a deficiency with the juvenile abundance index accuracy and indicated data exploration into the index formulation was needed. Examination of CTS juvenile length frequencies support that the smallest juveniles appear in the summer and spring juveniles are from overwintering of the previous year class. Juvenile abundance indices developed using year class (year in which a fish is spawned) rather than year of sampling (as done for previous assessments) showed substantial differences, in particular lowering AIC values indicating an improvement in model accuracy. Evidence of seasonal and regional variation with CTS juveniles prompted the development of separate age 0 and age 1 indices. Correlations of these indices to fisheries-derived year class strength suggested the age 0 index to be the best indicator of initial juvenile king mackerel abundance while the age 1 index reflects abundance after high early life stage mortality. Data exploration also was conducted for potential environmental variables impacting age 0 and age 1 abundance. Relationships were found between age 0 abundance and freshwater input, the Gulf Stream, hurricane activity, and predator abundance and between age 1 abundance and freshwater input and hurricane activity. This research provides not only valuable baseline knowledge for SA king mackerel juveniles, but also findings pertinent for their management.

ISBN: 9780355780963Subjects--Topical Terms:

3174300
Aquatic sciences.

Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance.
LDR:03058nmm a2200313 4500 001 2200501
005 20190315110956.5
008 201008s2017 ||||||||||||||||| ||eng d
020 $a 9780355780963
035 $a (MiAaPQ)AAI10746023
035 $a (MiAaPQ)cofc:10398
035 $a AAI10746023
040 $a MiAaPQ $c MiAaPQ
100 1 $a Reynolds, Julia Mae. $3 3427250
245 1 0 $a Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 123 p.
500 $a Source: Masters Abstracts International, Volume: 57-05.
500 $a Adviser: Tracey Smart.
502 $a Thesis (M.S.)--College of Charleston, 2017.
520 $a As growing human populations put an increasing demand on finite ocean resources, fisheries management tools rely ever more on high quality inputs and a comprehensive understanding of model factors. Stock assessment modeling for South Atlantic (SA) King Mackerel, Scomberomorus cavalla , uses inputs such as abundance indices, growth parameters, and fisheries landings. However, one underlying assumption in this modeling system is there are measurable connections among life stages. A juvenile abundance index developed from the SEAMAP-SA Coastal Trawl Survey (CTS) is presumed to represent ecological recruitment. Very weak correlations to other life stage proxies suggested a deficiency with the juvenile abundance index accuracy and indicated data exploration into the index formulation was needed. Examination of CTS juvenile length frequencies support that the smallest juveniles appear in the summer and spring juveniles are from overwintering of the previous year class. Juvenile abundance indices developed using year class (year in which a fish is spawned) rather than year of sampling (as done for previous assessments) showed substantial differences, in particular lowering AIC values indicating an improvement in model accuracy. Evidence of seasonal and regional variation with CTS juveniles prompted the development of separate age 0 and age 1 indices. Correlations of these indices to fisheries-derived year class strength suggested the age 0 index to be the best indicator of initial juvenile king mackerel abundance while the age 1 index reflects abundance after high early life stage mortality. Data exploration also was conducted for potential environmental variables impacting age 0 and age 1 abundance. Relationships were found between age 0 abundance and freshwater input, the Gulf Stream, hurricane activity, and predator abundance and between age 1 abundance and freshwater input and hurricane activity. This research provides not only valuable baseline knowledge for SA king mackerel juveniles, but also findings pertinent for their management.
590 $a School code: 1000.
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Wildlife management. $3 571816
650 4 $a Zoology. $3 518878
690 $a 0792
690 $a 0286
690 $a 0472
710 2 $a College of Charleston. $b Marine Biology. $3 1282362
773 0 $t Masters Abstracts International $g 57-05(E).
790 $a 1000
791 $a M.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10746023