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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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 |
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Open Polar |
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University of California: eScholarship |
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ftcdlib |
language |
English |
topic |
Ecology Climate change Physiology Grazer Kelp forest Local Adaptation Multiple Stressor Ocean Acidification Upwelling |
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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 |
_version_ |
1810469313919844352 |