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Great Risk, Grave Uncertainty, and Making Your Own Luck: The Dispersal of Coastal Marine Invertebrate Larvae in Heterogeneous Environments.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Great Risk, Grave Uncertainty, and Making Your Own Luck: The Dispersal of Coastal Marine Invertebrate Larvae in Heterogeneous Environments./
作者:	Meyer, Alexander Dolnick.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	122 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
標題:	Applied mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28541827
ISBN:	9798538100781

Great Risk, Grave Uncertainty, and Making Your Own Luck: The Dispersal of Coastal Marine Invertebrate Larvae in Heterogeneous Environments.
Meyer, Alexander Dolnick.

Great Risk, Grave Uncertainty, and Making Your Own Luck: The Dispersal of Coastal Marine Invertebrate Larvae in Heterogeneous Environments. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 122 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--University of California, Davis, 2021.

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

Many coastal marine invertebrates and fish begin life as planktonic larvae that can be transported several kilometers offshore by coastal currents. To have any hope of surviving to reproduction, larvae must avoid predators during dispersal and return to shore with enough energy for further development. Most larvae fail to do so, prompting Rumrill (1990) to begin his review of larval mortality by stating that coastal marine animal larvae "lead transitory lives of great risk and grave uncertainty." I examine, using stochastic modeling, how these risks and uncertainties are shaped -- and in some cases, overcome -- by the passive and active interactions of larvae with spatially varying features of their environments. Chapter 2 focuses on the consequences of increased larval mortality near the coast compared with offshore. The relative safety of offshore waters is often mentioned in discussions of the evolutionary origins of planktonic larvae, but is omitted by most modeling studies. I show that ignoring this feature may, in some cases, substantially alter predictions of coastal population dynamics and connectivity. Furthermore, oceanographic features that slow nearshore larval movement (such as coastal boundary layers) are double-edged swords, limiting the offshore loss of larvae but also preventing larvae from escaping nearshore hazards. Chapters 3 and 4 illustrate how larvae improve their chances of success by slowly swimming vertically to exploit differences in current velocity, food abundance, and predation throughout the water column. In Chapter 3, I consider a broad, continuous set of behaviors for larvae dispersing in an idealized environment approximating the two-layer flow typical of upwelling circulation. I show that while some behaviors successfully increase feeding opportunities and alongshore movement or limit the fraction of larvae that are lost offshore, no behaviors I modeled achieve both at once. I speculate that the former class of behaviors is suitable for organisms that spawn many cheap, long-lived larvae that feed during dispersal, while the latter is preferable for organisms with fewer, more expensive larvae that cannot feed. I extend this analysis in Chapter 4 by using dynamic programming to construct behaviors that optimize a metric of success that balances delivery to coastal habitats, predation risk, and energy budgeting. I demonstrate that some behaviors observed in nature are optimal in specific conditions, and that there exist realistic non-optimal behaviors that perform reliably well as conditions are varied. I hypothesize that many behaviors observed in nature result from selection for success in both typical or static conditions as well as extreme or variable ones. More broadly, I emphasize in Chapters 3 and 4 that predictable spatial structure in the environment creates an opportunity for larvae to change their destinies, and that these changes are most evident when mortality and energetics are considered alongside larval delivery to coastal habitats.

ISBN: 9798538100781Subjects--Topical Terms:

2122814
Applied mathematics.
Subjects--Index Terms:

Behavior

Great Risk, Grave Uncertainty, and Making Your Own Luck: The Dispersal of Coastal Marine Invertebrate Larvae in Heterogeneous Environments.
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100 1 $a Meyer, Alexander Dolnick. $3 3685515
245 1 0 $a Great Risk, Grave Uncertainty, and Making Your Own Luck: The Dispersal of Coastal Marine Invertebrate Larvae in Heterogeneous Environments.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 122 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 $a Advisor: Hastings, Alan.
502 $a Thesis (Ph.D.)--University of California, Davis, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Many coastal marine invertebrates and fish begin life as planktonic larvae that can be transported several kilometers offshore by coastal currents. To have any hope of surviving to reproduction, larvae must avoid predators during dispersal and return to shore with enough energy for further development. Most larvae fail to do so, prompting Rumrill (1990) to begin his review of larval mortality by stating that coastal marine animal larvae "lead transitory lives of great risk and grave uncertainty." I examine, using stochastic modeling, how these risks and uncertainties are shaped -- and in some cases, overcome -- by the passive and active interactions of larvae with spatially varying features of their environments. Chapter 2 focuses on the consequences of increased larval mortality near the coast compared with offshore. The relative safety of offshore waters is often mentioned in discussions of the evolutionary origins of planktonic larvae, but is omitted by most modeling studies. I show that ignoring this feature may, in some cases, substantially alter predictions of coastal population dynamics and connectivity. Furthermore, oceanographic features that slow nearshore larval movement (such as coastal boundary layers) are double-edged swords, limiting the offshore loss of larvae but also preventing larvae from escaping nearshore hazards. Chapters 3 and 4 illustrate how larvae improve their chances of success by slowly swimming vertically to exploit differences in current velocity, food abundance, and predation throughout the water column. In Chapter 3, I consider a broad, continuous set of behaviors for larvae dispersing in an idealized environment approximating the two-layer flow typical of upwelling circulation. I show that while some behaviors successfully increase feeding opportunities and alongshore movement or limit the fraction of larvae that are lost offshore, no behaviors I modeled achieve both at once. I speculate that the former class of behaviors is suitable for organisms that spawn many cheap, long-lived larvae that feed during dispersal, while the latter is preferable for organisms with fewer, more expensive larvae that cannot feed. I extend this analysis in Chapter 4 by using dynamic programming to construct behaviors that optimize a metric of success that balances delivery to coastal habitats, predation risk, and energy budgeting. I demonstrate that some behaviors observed in nature are optimal in specific conditions, and that there exist realistic non-optimal behaviors that perform reliably well as conditions are varied. I hypothesize that many behaviors observed in nature result from selection for success in both typical or static conditions as well as extreme or variable ones. More broadly, I emphasize in Chapters 3 and 4 that predictable spatial structure in the environment creates an opportunity for larvae to change their destinies, and that these changes are most evident when mortality and energetics are considered alongside larval delivery to coastal habitats.
590 $a School code: 0029.
650 4 $a Applied mathematics. $3 2122814
650 4 $a Ecology. $3 516476
650 4 $a Invertebrates. $3 600655
650 4 $a Habitats. $3 3564192
650 4 $a Conservation biology. $3 535736
650 4 $a Marine biology. $3 566534
650 4 $a Animal reproduction. $3 3680772
650 4 $a Research. $3 531893
650 4 $a Population. $3 518693
650 4 $a Behavior. $3 532476
650 4 $a Pathogens. $3 3540520
650 4 $a Evolution. $3 532919
650 4 $a Mathematical models. $3 522882
650 4 $a Mortality. $3 533218
650 4 $a Biology. $3 522710
650 4 $a Energy. $3 876794
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Coasts. $3 545629
650 4 $a Competition. $3 537031
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650 4 $a Seeds. $3 573605
650 4 $a Retention. $3 2137396
650 4 $a Probability. $3 518898
650 4 $a Adults. $3 2157228
650 4 $a Fish. $3 3564374
653 $a Behavior
653 $a Dynamic programming
653 $a Heterogeneous environment
653 $a Marine larvae
653 $a Stochastic model
653 $a Vertical swimming
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710 2 $a University of California, Davis. $b Applied Mathematics. $3 1672697
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792 $a 2021
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