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Author ORCID Identifier
https://orcid.org/0000-0003-1099-4996
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Geosciences
Year Degree Awarded
2023
Month Degree Awarded
September
First Advisor
Matthew Winnick
Second Advisor
David Boutt
Third Advisor
Justin Richardson
Fourth Advisor
Steve Petsch
Fifth Advisor
Colin J. Gleason
Subject Categories
Biogeochemistry
Abstract
Inland waters are significant sources of carbon dioxide to the atmosphere, and estimates of emissions are similar in magnitude to those of the carbon dioxide sequestered by the net terrestrial sink. Currently, methods of estimating carbon dioxide emissions are based on statistical approaches and often do not consider landscape attributes such as human development, agriculture, or the hydrologic connectivity of the stream network. The following research addresses these issues in chapter 1 by developing and validating a reactive transport model at the watershed scale, then in chapter 2 by applying the reactive transport model at the continental scale across US stream networks, and in chapter 3 by determining the impacts of anthropogenic land uses on carbon dioxide fluxes.
Here we present the findings of this research, which show that current statistical methods of predicting carbon dioxide emissions from inland waters overestimate by roughly 25% on continental scales and potentially more when used on individual basins. Beyond this, we shed light on the sources of carbon dioxide emissions from inland waters showing the importance of internally produced carbon dioxide, which accounts for ~87% of emissions across the continental United States stream network and groundwater contributions which dominate headwater streams. Finally, we show that anthropogenic impacts account for small changes in carbon dynamics in streams which are still yet to be fully understood.
DOI
https://doi.org/10.7275/35892158
Recommended Citation
Saccardi, Brian, "Sources and Controls of Carbon Dioxide in Inland Waters at Watershed, Regional, and Continental Scales" (2023). Doctoral Dissertations. 2984.
https://doi.org/10.7275/35892158
https://scholarworks.umass.edu/dissertations_2/2984
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.