Landscape heterogeneity influences carbon dioxide production in a young boreal reservoir

Surface carbon dioxide (CO 2 ) emissions exhibit a high degree of spatial heterogeneity in the young boreal Eastmain-1 hydroelectric reservoir, located in northern Quebec, Canada. Estimates of the individual components of net CO 2 production within the reservoir (benthic respiration, water column re...

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Bibliographic Details
Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Brothers, Soren M., del Giorgio, Paul A., Teodoru, Cristian R., Prairie, Yves T.
Other Authors: Smith, Ralph
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2012
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Online Access:http://dx.doi.org/10.1139/f2011-174
http://www.nrcresearchpress.com/doi/full-xml/10.1139/f2011-174
http://www.nrcresearchpress.com/doi/pdf/10.1139/f2011-174
Description
Summary:Surface carbon dioxide (CO 2 ) emissions exhibit a high degree of spatial heterogeneity in the young boreal Eastmain-1 hydroelectric reservoir, located in northern Quebec, Canada. Estimates of the individual components of net CO 2 production within the reservoir (benthic respiration, water column respiration, and primary production) furthermore provide a link between the heterogeneity in surface CO 2 emissions and the flooded landscapes below. Specifically, the preflood carbon stock and soil–sediment respiration rates of flooded landscapes were found to influence benthic CO 2 production, the rate of decline of hypolimnetic dissolved organic carbon (DOC), and the estimated rate at which flooded landscapes release DOC, further influencing water column respiration rates. Estimates of the individual components of net CO 2 production in Eastmain-1 are supported by a positive relationship (t test, r 2 = 0.64, P < 0.01) between measured surface CO 2 emissions (mean ± SE = 1540 ± 145.4 mg C·m –2 ·day –1 ) and independently derived estimates of total net CO 2 production (mean ± SE = 1230 ± 162.4 mg C·m –2 ·day –1 ). Our findings emphasize the utility of fundamental landscape characterization prior to construction in predicting reservoir greenhouse gas emissions.