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Uncertainty Analysis in Fisheries Sc...

Urbisci, Laura C.

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Uncertainty Analysis in Fisheries Science: An Interdisciplinary Approach.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty Analysis in Fisheries Science: An Interdisciplinary Approach./
作者:	Urbisci, Laura C.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	157 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:	Dissertations Abstracts International80-09B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13423491
ISBN:	9780438898547

Uncertainty Analysis in Fisheries Science: An Interdisciplinary Approach.
Urbisci, Laura C.

Uncertainty Analysis in Fisheries Science: An Interdisciplinary Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 157 p.

Source: Dissertations Abstracts International, Volume: 80-09, Section: B.

Thesis (Ph.D.)--University of California, Santa Barbara, 2018.

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

My dissertation is an interdisciplinary approach that combines fisheries science, ecological theory, and applied statistics. My first chapter is a meta-analysis on transfer efficiency that describes and quantifies the variation in transfer efficiency. My second chapter assesses uncertainty in food web models by creating multiple Monte Carlo simulations to test various ecological assumptions about net primary production and transfer efficiency. My final chapter is a comparative analysis of two Bayesian models: a classic Bayesian surplus production model and a Bayesian surplus production model that incorporates ecological information. This chapter examines if the inclusion of ecological information informs and alters fisheries assessment models, with a focus on data-limited fisheries. Ultimately my work bridges the gap between applied statistics and ecological theory and encourages the use of uncertainty analysis to make more robust predictions in food web models.

ISBN: 9780438898547Subjects--Topical Terms:

517247
Statistics.

Uncertainty Analysis in Fisheries Science: An Interdisciplinary Approach.
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