Baleen whale physiology revealed through the integration of bio-logging and ecoinformatics
Abstract/Contents
- Abstract
- Ecology is in the process of becoming "big data" scientific discipline, but development and adoption of infrastructure has been patchy. From community science to automated sensor networks, ecologists are collecting, aggregating, and analyzing more data than ever before. Among these new data sources are bio-loggers: animal-borne sensor packages that track location, behavior, physiology, and more. With hardware advancements in the last few decades, the data from these devices increased in quantity and complexity beyond the technical capacity of many ecologists. This challenge is particularly visible in physio-logging (the use of bio-loggers for observing physiology), which frequently employs a more diverse suite of sensors than other bio-logger applications. Therefore, physio-logging provides a compelling case study for developing ecological informatics infrastructure. This dissertation identifies the informatics gaps in physio-logging, demonstrates methodological advancements possible with greater infrastructure, and applies physio-logging data to a conservation framework. In Chapter 1, I offer a perspective on how the lack of informatics infrastructure stifles innovation. By looking to other scientific disciplines for inspiration, I describe how a greater emphasis on computational reproducibility could fuel collaboration and discovery. Chapters 2 and 3 build on the themes of infrastructure and innovation by providing examples of new physio-logging analytical methods. Finally, Chapter 4 uses bio-logging data to model the physiological consequences of anthropogenic disturbance to vulnerable cetacean populations.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Czapanskiy, Max Frank |
|---|---|
| Degree supervisor | Goldbogen, Jeremy |
| Thesis advisor | Goldbogen, Jeremy |
| Thesis advisor | Hazen, Elliott Lee |
| Thesis advisor | O'Connell, Lauren A |
| Thesis advisor | Ponganis, Paul J, 1950- |
| Thesis advisor | Thompson, Stuart, (Professor of biology) |
| Degree committee member | Hazen, Elliott Lee |
| Degree committee member | O'Connell, Lauren A |
| Degree committee member | Ponganis, Paul J, 1950- |
| Degree committee member | Thompson, Stuart, (Professor of biology) |
| Associated with | Stanford University, Department of Biology |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Max Frank Czapanskiy. |
|---|---|
| Note | Submitted to the Department of Biology. |
| Thesis | Thesis Ph.D. Stanford University 20232 |
| Location | https://purl.stanford.edu/bj776sg6628 |
Access conditions
- Copyright
- © 2022 by Max Frank Czapanskiy
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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