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Incorporating Ecological Heterogenei...

Rosinski, Caroline L.

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Incorporating Ecological Heterogeneity and Intraspecific Variation to Understand Apex Predator Trophic Ecology.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Incorporating Ecological Heterogeneity and Intraspecific Variation to Understand Apex Predator Trophic Ecology./
Author:	Rosinski, Caroline L.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	114 p.
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Ecology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30487321
ISBN:	9798379562243

Incorporating Ecological Heterogeneity and Intraspecific Variation to Understand Apex Predator Trophic Ecology.
Rosinski, Caroline L.

Incorporating Ecological Heterogeneity and Intraspecific Variation to Understand Apex Predator Trophic Ecology. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 114 p.

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.S.)--University of Wyoming, 2023.

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

Ecological heterogeneity can impact how energy flows from the base of the food web to top predators. In aquatic systems, apex predators are often highly mobile piscivorous fishes with the ability to respond to environmental change by modifying resource use to exploit multiple energy pathways. Further, the exploitation of pathways may be different among individuals, leading to intraspecific variation. I first tested for the presence of intraspecific variation in the apex fish predator, Lake Trout Salvelinus namaycush, in a 390 ha oligotrophic lake with two distinct basins. Differences in stomach contents, stable isotope niche space, and growth rates indicated that there is intraspecific variation across three habitats in this system; the upper basin pelagic, lower basin pelagic, and lower basin benthic habitats. I tested the effects of incorporating this variation and corresponding ecological heterogeneity (e.g., different temperatures, habitat-specific population sizes) on consumption estimates of kokanee (lacustrine Sockeye Salmon, Oncorhynchus nerka) derived from bioenergetics models. I assessed two bioenergetics modeling approaches; one lake-wide model, and one ecologically partitioned model that accounted for differences in Lake Trout diet compositions, growth, and population sizes across habitats. The ecologically partitioned model produced kokanee consumption estimates 30% lower than the lake-wide, unpartitioned model, which produced an estimate that exceeded the number of kokanee stocked in the system. Incorporating ecological heterogeneity and intraspecific variation into these bioenergetic models yielded valuable insights on the foraging patterns of a top predator across habitats. This more nuanced understanding of foraging dynamics could provide critical information to guide multispecies fisheries management by clarifying how managed species interact and in which habitats those interactions create management challenges.

ISBN: 9798379562243Subjects--Topical Terms:

516476
Ecology.
Subjects--Index Terms:

Bioenergetics model

Incorporating Ecological Heterogeneity and Intraspecific Variation to Understand Apex Predator Trophic Ecology.
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245 1 0 $a Incorporating Ecological Heterogeneity and Intraspecific Variation to Understand Apex Predator Trophic Ecology.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 114 p.
500 $a Source: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Fetzer, William.
502 $a Thesis (M.S.)--University of Wyoming, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Ecological heterogeneity can impact how energy flows from the base of the food web to top predators. In aquatic systems, apex predators are often highly mobile piscivorous fishes with the ability to respond to environmental change by modifying resource use to exploit multiple energy pathways. Further, the exploitation of pathways may be different among individuals, leading to intraspecific variation. I first tested for the presence of intraspecific variation in the apex fish predator, Lake Trout Salvelinus namaycush, in a 390 ha oligotrophic lake with two distinct basins. Differences in stomach contents, stable isotope niche space, and growth rates indicated that there is intraspecific variation across three habitats in this system; the upper basin pelagic, lower basin pelagic, and lower basin benthic habitats. I tested the effects of incorporating this variation and corresponding ecological heterogeneity (e.g., different temperatures, habitat-specific population sizes) on consumption estimates of kokanee (lacustrine Sockeye Salmon, Oncorhynchus nerka) derived from bioenergetics models. I assessed two bioenergetics modeling approaches; one lake-wide model, and one ecologically partitioned model that accounted for differences in Lake Trout diet compositions, growth, and population sizes across habitats. The ecologically partitioned model produced kokanee consumption estimates 30% lower than the lake-wide, unpartitioned model, which produced an estimate that exceeded the number of kokanee stocked in the system. Incorporating ecological heterogeneity and intraspecific variation into these bioenergetic models yielded valuable insights on the foraging patterns of a top predator across habitats. This more nuanced understanding of foraging dynamics could provide critical information to guide multispecies fisheries management by clarifying how managed species interact and in which habitats those interactions create management challenges.
590 $a School code: 0264.
650 4 $a Ecology. $3 516476
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Zoology. $3 518878
653 $a Bioenergetics model
653 $a Ecology
653 $a Heterogeneity
653 $a Individual specialization
653 $a Management
653 $a Trophic ecology
690 $a 0329
690 $a 0792
690 $a 0472
710 2 $a University of Wyoming. $b Zoology & Physiology. $3 2100141
773 0 $t Masters Abstracts International $g 84-11.
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791 $a M.S.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30487321