Using the Metabolic Index to Elucidate the Relative Predictive Capacities of Environmental Indicators on Marine Invertebrate Biogeography in the Southern California Bight
Abstract/Contents
- Abstract
- Under a changing climate, the marine life in the global ocean is facing a variety of stressors. Hypoxia (low oxygen conditions), warming, and acidification are of particular concern. While studies have examined the effects of these various stressors, little research has explored synergistic effects of multiple stressors and the role of physiological parameters on invertebrate biogeography. Here, I calculate the metabolic index, an ecophsyiological framework that incorporates both temperature and oxygen in order to understand how an organism’s environment affects its phenology and biogeography. Employing machine learning techniques, naïve Bayes and full Bayes models, I investigate the relative capacity of various environmental parameters–temperature, oxygen, metabolic index (phi), salinity, and pH–for predicting the occurrence of Kellet’s whelk (Kelletia kelletii) and white urchin (Lytechinus pictus) in the Southern California Bight. Although Kellet’s whelk occurrence data was too sparse for machine learning techniques to produce viable results, Bayesian models did indeed produce predictive results for white urchin analysis. I ultimately find that although there seems to be no single environmental parameter that wholly accounts for marine invertebrate occurrence, full Bayes models indicate that oxygen leads as the dominant parameter with the highest predictive power for white urchin in the study area. This finding agrees with existing literature on the importance of oxygen in predicting biogeographic distribution in marine environments. Ultimately, these results contribute to a growing body of research indicating hypoxia is a major threat to marine ecosystems and highlight the need for expanded policy efforts to mitigate greenhouse gas emissions driving oxygen depletion in global oceans.
Description
| Type of resource | text |
|---|---|
| Date modified | December 5, 2022 |
| Publication date | June 2, 2022 |
Creators/Contributors
| Author | Matsumoto, Kendall |
|---|---|
| Thesis advisor | Sperling, Erik |
| Thesis advisor | Payne, Jonathan |
| Thesis advisor | Marquez, Andy |
Subjects
| Subject | metabolic index |
|---|---|
| Subject | Sea urchins |
| Subject | Kellet's whelk |
| Subject | Oceanography |
| Subject | deoxygenation |
| Genre | Text |
| Genre | Thesis |
Bibliographic information
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- This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International license (CC BY-NC).
Preferred citation
- Preferred citation
- Matsumoto, K. (2022). Using the Metabolic Index to Elucidate the Relative Predictive Capacities of Environmental Indicators on Marine Invertebrate Biogeography in the Southern California Bight . Stanford Digital Repository. Available at https://purl.stanford.edu/xf678jx0340
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Undergraduate Honors Theses, Doerr School of Sustainability
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