skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis

Bioscience, 2016-11, Vol.66 (11), p.949-964 [Peer Reviewed Journal]

2016 American Institute of Biological Sciences ;Copyright Oxford University Press, UK Nov 1, 2016 ;ISSN: 0006-3568 ;EISSN: 1525-3244 ;DOI: 10.1093/biosci/biw117 ;PMID: 32801383 ;CODEN: BISNAS

Full text available

Citations Cited by
  • Title:
    Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis
  • Author: DEEMER, BRIDGET R. ; HARRISON, JOHN A. ; LI, SIYUE ; BEAULIEU, JAKE J. ; DELSONTRO, TONYA ; BARROS, NATHAN ; BEZERRA-NETO, JOSÉ F. ; POWERS, STEPHEN M. ; DOS SANTOS, MARCO A. ; VONK, J. ARIE
  • Subjects: Dams ; Emissions ; Emissions control ; Greenhouse gases ; Overview Articles ; Predictions ; Reservoirs
  • Is Part Of: Bioscience, 2016-11, Vol.66 (11), p.949-964
  • Description: 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.
  • Publisher: England: Oxford University Press
  • Language: English
  • Identifier: ISSN: 0006-3568
    EISSN: 1525-3244
    DOI: 10.1093/biosci/biw117
    PMID: 32801383
    CODEN: BISNAS
  • Source: Alma/SFX Local Collection
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait