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Modeling Early Life: Ontogenetic Gro...

Vasbinder, Kelly.

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Modeling Early Life: Ontogenetic Growth and Behavior Affect Population Connectivity in Gulf of Mexico Marine Fish.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling Early Life: Ontogenetic Growth and Behavior Affect Population Connectivity in Gulf of Mexico Marine Fish./
作者:	Vasbinder, Kelly.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	156 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-07, Section: B.
Contained By:	Dissertations Abstracts International82-07B.
標題:	Biological oceanography. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28156811
ISBN:	9798557024020

Modeling Early Life: Ontogenetic Growth and Behavior Affect Population Connectivity in Gulf of Mexico Marine Fish.
Vasbinder, Kelly.

Modeling Early Life: Ontogenetic Growth and Behavior Affect Population Connectivity in Gulf of Mexico Marine Fish. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 156 p.

Source: Dissertations Abstracts International, Volume: 82-07, Section: B.

Thesis (Ph.D.)--University of South Florida, 2020.

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

This dissertation is an examination of growth, behavior, and dispersal during the early life stages of marine fishes in the Gulf of Mexico. Understanding movements of early life stages is a key part of managing exploited fish populations. Position in the water column can impact larval dispersal, since it determines those currents to which larvae are exposed. First, I investigated the relationship between length and age in early life stages of marine fishes. I found that demersal fish taxa tend to be represented by exponential models, while pelagic fish tend to be represented by linear models. I suggest this may be indicative of risk-taking strategies associated with a consumption/predation risk trade-off. Using some of the age models from this study to estimate the ages of sampled larvae, generalized additive models (GAM) were built using a suite of environmental variables. The GAMs were then used to predict the ontogenetic vertical migration patterns for a range of age classes and taxa of major commercial and recreational fishes in the Gulf of Mexico. These ontogenetic vertical migration patterns are used in combination with circulation data from the West Florida Coastal Ocean Model (WFCOM) to predict larval trajectories in the Gulf of Mexico. These trajectories are then used to identify spawning and settlement habitats. This creates a source/sink matrix, which can help support realistic modeling of population connectivity within ecosystem models such as Atlantis. This project lies at the intersection of predictive statistical modeling, hydrodynamic modeling, and ecosystem modeling, and represents an interdisciplinary approach to understanding larval dynamics and the impacts that they have on ecosystems and fish production.

ISBN: 9798557024020Subjects--Topical Terms:

2122748
Biological oceanography.
Subjects--Index Terms:

Connectivity

Modeling Early Life: Ontogenetic Growth and Behavior Affect Population Connectivity in Gulf of Mexico Marine Fish.
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500 $a Source: Dissertations Abstracts International, Volume: 82-07, Section: B.
500 $a Advisor: Ainsworth, Cameron.
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506 $a This item must not be sold to any third party vendors.
520 $a This dissertation is an examination of growth, behavior, and dispersal during the early life stages of marine fishes in the Gulf of Mexico. Understanding movements of early life stages is a key part of managing exploited fish populations. Position in the water column can impact larval dispersal, since it determines those currents to which larvae are exposed. First, I investigated the relationship between length and age in early life stages of marine fishes. I found that demersal fish taxa tend to be represented by exponential models, while pelagic fish tend to be represented by linear models. I suggest this may be indicative of risk-taking strategies associated with a consumption/predation risk trade-off. Using some of the age models from this study to estimate the ages of sampled larvae, generalized additive models (GAM) were built using a suite of environmental variables. The GAMs were then used to predict the ontogenetic vertical migration patterns for a range of age classes and taxa of major commercial and recreational fishes in the Gulf of Mexico. These ontogenetic vertical migration patterns are used in combination with circulation data from the West Florida Coastal Ocean Model (WFCOM) to predict larval trajectories in the Gulf of Mexico. These trajectories are then used to identify spawning and settlement habitats. This creates a source/sink matrix, which can help support realistic modeling of population connectivity within ecosystem models such as Atlantis. This project lies at the intersection of predictive statistical modeling, hydrodynamic modeling, and ecosystem modeling, and represents an interdisciplinary approach to understanding larval dynamics and the impacts that they have on ecosystems and fish production.
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650 4 $a Biological oceanography. $3 2122748
650 4 $a Ecology. $3 516476
650 4 $a Limnology. $3 545788
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Conservation biology. $3 535736
653 $a Connectivity
653 $a Early-life history
653 $a Fisheries management
653 $a Larval transport
653 $a Marine Resource Assessment
653 $a Trade-offs
653 $a Larvae
653 $a Fish production
653 $a Gulf of Mexico
653 $a Marine fish
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690 $a 0329
690 $a 0454
690 $a 0408
690 $a 0792
690 $a 0793
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793 $a English
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