國立虎尾科技大學 |

Effects of Productivity Gradients on Fish Community Structure in Lake Erie.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Effects of Productivity Gradients on Fish Community Structure in Lake Erie./
作者:	Yanos, Casey Lee.
面頁冊數:	1 online resource (174 pages)
附註:	Source: Masters Abstracts International, Volume: 57-02.
標題:	Environmental science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355443219

Effects of Productivity Gradients on Fish Community Structure in Lake Erie.
Yanos, Casey Lee.

Effects of Productivity Gradients on Fish Community Structure in Lake Erie. - 1 online resource (174 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.S.)--The University of Toledo, 2017.

Includes bibliographical references

Lake Erie has strong productivity gradients which introduce variation into the relationship between primary productivity and the fish community. Most of Lake Erie is a bottom-up regulated system and efforts to manage upper trophic level resources such as fish, and more specifically top predators such as walleye (Sander vitreus) and yellow perch (Perca flavescens) must incorporate knowledge of how productivity controls these resources. Previous work has quantified the relationships among resources occupying different trophic levels and connectivity between primary productivity and fish. However, these relationships were based on little to no variation in primary productivity. Therefore, to understand which gradients and drivers of those gradients influenced the fish community, I created classification and regression trees (CARTs) and used the results to inform a continuous Bayesian networks model (cBN) to quantify the relationship between productivity and fish resources while accounting for the variation caused by the gradients. My CARTs indicated that the fish community as a whole as well as walleye and yellow perch are influenced by nutrients, and therefore productivity, and that the distribution of the fish community as a whole and walleye follow Lake Erie's west to east productivity gradient. The fish community additionally follows an in to offshore productivity gradient and walleye also follow a seasonal gradient. Species biomass and composition typically respond to different resources but in many cases sites with high walleye biomass also have high walleye composition, so the different resources are still indicative of the same gradients. My cBN model and simulations indicate that a decrease in nutrients results in decreases of fish including walleye and yellow perch and additional simulations indicate that decreases to forage fish also result in decreases of fish including walleye and yellow perch.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355443219Subjects--Topical Terms:

1179128
Environmental science.
Index Terms--Genre/Form:

554714
Electronic books.

Effects of Productivity Gradients on Fish Community Structure in Lake Erie.
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500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Advisers: Christine M. Mayer; Song S. Qian.
502 $a Thesis (M.S.)--The University of Toledo, 2017.
504 $a Includes bibliographical references
520 $a Lake Erie has strong productivity gradients which introduce variation into the relationship between primary productivity and the fish community. Most of Lake Erie is a bottom-up regulated system and efforts to manage upper trophic level resources such as fish, and more specifically top predators such as walleye (Sander vitreus) and yellow perch (Perca flavescens) must incorporate knowledge of how productivity controls these resources. Previous work has quantified the relationships among resources occupying different trophic levels and connectivity between primary productivity and fish. However, these relationships were based on little to no variation in primary productivity. Therefore, to understand which gradients and drivers of those gradients influenced the fish community, I created classification and regression trees (CARTs) and used the results to inform a continuous Bayesian networks model (cBN) to quantify the relationship between productivity and fish resources while accounting for the variation caused by the gradients. My CARTs indicated that the fish community as a whole as well as walleye and yellow perch are influenced by nutrients, and therefore productivity, and that the distribution of the fish community as a whole and walleye follow Lake Erie's west to east productivity gradient. The fish community additionally follows an in to offshore productivity gradient and walleye also follow a seasonal gradient. Species biomass and composition typically respond to different resources but in many cases sites with high walleye biomass also have high walleye composition, so the different resources are still indicative of the same gradients. My cBN model and simulations indicate that a decrease in nutrients results in decreases of fish including walleye and yellow perch and additional simulations indicate that decreases to forage fish also result in decreases of fish including walleye and yellow perch.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Environmental science. $3 1179128
655 7 $a Electronic books. $2 local $3 554714
690 $a 0768
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710 2 $a The University of Toledo. $b Biology (Ecology). $3 1186225
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