Predicting ecological change in multivariate environments

Natural and anthropogenic environmental changes are impacting marine species worldwide. However, our understanding of how changes to multiple environmental drivers impact the physiology and ecology of organisms is still largely unknown. Kelp forest ecosystems along the coast of California present a...

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Main Author: Donham, Emily
Other Authors: Kroeker, Kristy J
Format: Thesis
Language:English
Published: eScholarship, University of California 2022
Subjects:
Online Access:https://escholarship.org/uc/item/6qh547fb
https://escholarship.org/content/qt6qh547fb/qt6qh547fb.pdf
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spelling ftcdlib:oai:escholarship.org:ark:/13030/qt6qh547fb 2024-09-15T18:28:01+00:00 Predicting ecological change in multivariate environments Donham, Emily Kroeker, Kristy J 2022-01-01 application/pdf https://escholarship.org/uc/item/6qh547fb https://escholarship.org/content/qt6qh547fb/qt6qh547fb.pdf en eng eScholarship, University of California qt6qh547fb https://escholarship.org/uc/item/6qh547fb https://escholarship.org/content/qt6qh547fb/qt6qh547fb.pdf public Ecology Climate change Physiology Grazer Kelp forest Local Adaptation Multiple Stressor Ocean Acidification Upwelling etd 2022 ftcdlib 2024-06-28T06:28:21Z Natural and anthropogenic environmental changes are impacting marine species worldwide. However, our understanding of how changes to multiple environmental drivers impact the physiology and ecology of organisms is still largely unknown. Kelp forest ecosystems along the coast of California present a unique system to assess how environmental variability (both natural and human-induced) impacts key species of concern. In particular, these biodiverse ecosystems reside within the California Current System, which is characterized by dynamic oceanographic conditions that vary across latitude largely due to differences in the strength and intensity of coastal upwelling. Furthermore, environmental conditions are predicted to change especially rapidly in this region due to accelerated acidification, deoxygenation, and warming. In this study I first use ecologically and economically important grazer taxa to understanding how current and future environmental changes impact the physiology and ecology of marine organisms. Secondly, I conduct a synthesis of multiple driver experiments across ecosystems to assess the generality in interactive effects of warming and ocean acidification. In chapter one, I use insitu monitoring of pH, temperature, and dissolved oxygen conditions within a central California kelp forest to further understanding of the relationships between environmental conditions across seasons. I then use these environmental relationships to undertake a manipulative laboratory mesocosm experiment to assess how upwelling impacts the physiology and ecology of the gastropod, Promartynia pulligo, and the echinoderm, Mesocentrotus franciscancus. In chapter two, I expand monitoring of pH, temperature, and dissolved oxygen to northern and southern California kelp forests to better understand differences in the coupling of environmental drivers across regions that experience strong versus weak upwelling. I then conduct a laboratory mesocosm experiment to look for signs of local adaptation of red sea urchins, Mesocentrotus ... Thesis Ocean acidification University of California: eScholarship
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
topic Ecology
Climate change
Physiology
Grazer
Kelp forest
Local Adaptation
Multiple Stressor
Ocean Acidification
Upwelling
spellingShingle Ecology
Climate change
Physiology
Grazer
Kelp forest
Local Adaptation
Multiple Stressor
Ocean Acidification
Upwelling
Donham, Emily
Predicting ecological change in multivariate environments
topic_facet Ecology
Climate change
Physiology
Grazer
Kelp forest
Local Adaptation
Multiple Stressor
Ocean Acidification
Upwelling
description Natural and anthropogenic environmental changes are impacting marine species worldwide. However, our understanding of how changes to multiple environmental drivers impact the physiology and ecology of organisms is still largely unknown. Kelp forest ecosystems along the coast of California present a unique system to assess how environmental variability (both natural and human-induced) impacts key species of concern. In particular, these biodiverse ecosystems reside within the California Current System, which is characterized by dynamic oceanographic conditions that vary across latitude largely due to differences in the strength and intensity of coastal upwelling. Furthermore, environmental conditions are predicted to change especially rapidly in this region due to accelerated acidification, deoxygenation, and warming. In this study I first use ecologically and economically important grazer taxa to understanding how current and future environmental changes impact the physiology and ecology of marine organisms. Secondly, I conduct a synthesis of multiple driver experiments across ecosystems to assess the generality in interactive effects of warming and ocean acidification. In chapter one, I use insitu monitoring of pH, temperature, and dissolved oxygen conditions within a central California kelp forest to further understanding of the relationships between environmental conditions across seasons. I then use these environmental relationships to undertake a manipulative laboratory mesocosm experiment to assess how upwelling impacts the physiology and ecology of the gastropod, Promartynia pulligo, and the echinoderm, Mesocentrotus franciscancus. In chapter two, I expand monitoring of pH, temperature, and dissolved oxygen to northern and southern California kelp forests to better understand differences in the coupling of environmental drivers across regions that experience strong versus weak upwelling. I then conduct a laboratory mesocosm experiment to look for signs of local adaptation of red sea urchins, Mesocentrotus ...
author2 Kroeker, Kristy J
format Thesis
author Donham, Emily
author_facet Donham, Emily
author_sort Donham, Emily
title Predicting ecological change in multivariate environments
title_short Predicting ecological change in multivariate environments
title_full Predicting ecological change in multivariate environments
title_fullStr Predicting ecological change in multivariate environments
title_full_unstemmed Predicting ecological change in multivariate environments
title_sort predicting ecological change in multivariate environments
publisher eScholarship, University of California
publishDate 2022
url https://escholarship.org/uc/item/6qh547fb
https://escholarship.org/content/qt6qh547fb/qt6qh547fb.pdf
genre Ocean acidification
genre_facet Ocean acidification
op_relation qt6qh547fb
https://escholarship.org/uc/item/6qh547fb
https://escholarship.org/content/qt6qh547fb/qt6qh547fb.pdf
op_rights public
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