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ZENODO
Dataset . 2020
License: CC 0
Data sources: ZENODO
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B2FIND
Dataset . 2016
Data sources: B2FIND
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EASY
Dataset . 2016
Data sources: EASY
DRYAD
Dataset . 2016
License: CC 0
Data sources: Datacite
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Data from: Greenhouse gas emissions from reservoir water surfaces: a new global synthesis

Authors: Deemer, Bridget R.; Harrison, John A.; Li, Siyue; Beaulieu, Jake J.; DelSontro, Tonya; Barros, Nathan; Bezerra-Neto, José F.; +3 Authors

Data from: Greenhouse gas emissions from reservoir water surfaces: a new global synthesis

Abstract

Collectively, reservoirs created by dams are thought to be an important source of greenhouse gases (GHGs) to the atmosphere. So far, efforts to quantify, model, and manage these emissions have been limited by data availability and inconsistencies in methodological approach. Here, we synthesize reservoir CH4, CO2, and N2O emission data with three main objectives: (1) to generate a global estimate of GHG emissions from reservoirs, (2) to identify the best predictors of these emissions, and (3) to consider the effect of methodology on emission estimates. We estimate that GHG emissions from reservoir water surfaces account for 0.8 (0.5–1.2) Pg CO2 equivalents per year, with the majority of this forcing due to CH4. We then discuss the potential for several alternative pathways such as dam degassing and downstream emissions to contribute significantly to overall emissions. Although prior studies have linked reservoir GHG emissions to reservoir age and latitude, we find that factors related to reservoir productivity are better predictors of emission.

Reservoir Greenhouse Gas Fluxes and Potential Predictor Variables This data file contains reservoir greenhouse gas emission estimates as well as categorical and continuous data for tested predictors of these fluxes. There is one row reserved for each reservoir included in the study. The associated references for this data are included in a second spreadsheet tab.

Keywords

medicine and health care, Life sciences, medicine and health care , reservoir, greenhouse gas, methane, ebullition, Life Sciences, Medicine, Life sciences, Methane

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