Anthropogenic activities significantly increase annual greenhouse gas (GHG) fluxes from temperate headwater streams in Germany
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Published:2023-08-17
Issue:16
Volume:20
Page:3395-3422
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ISSN:1726-4189
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Container-title:Biogeosciences
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language:en
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Short-container-title:Biogeosciences
Author:
Mwanake Ricky Mwangada, Gettel Gretchen MariaORCID, Wangari Elizabeth GachibuORCID, Glaser Clarissa, Houska TobiasORCID, Breuer LutzORCID, Butterbach-Bahl KlausORCID, Kiese RalfORCID
Abstract
Abstract. Anthropogenic activities increase the contributions of inland waters to
global greenhouse gas (GHG; CO2, CH4, and N2O) budgets, yet
the mechanisms driving these increases are still not well constrained. In
this study, we quantified year-long GHG concentrations, fluxes, and water
physico-chemical variables from 28 sites contrasted by land use across five
headwater catchments in Germany. Based on linear mixed-effects models, we
showed that land use was more significant than seasonality in controlling
the intra-annual variability of the GHGs. Streams in agriculture-dominated
catchments or with wastewater inflows had up to 10 times higher daily
CO2, CH4, and N2O emissions and were also more temporally
variable (CV > 55 %) than forested streams. Our findings also
suggested that nutrient, labile carbon, and dissolved GHG inputs from the
agricultural and settlement areas may have supported these hotspots and
hot-moments of fluvial GHG emissions. Overall, the annual emission from
anthropogenic-influenced streams in CO2 equivalents was up to 20 times
higher (∼ 71 kg CO2 m−2 yr−1) than from
natural streams (∼ 3 kg CO2 m−2 yr−1), with
CO2 accounting for up to 81 % of these annual emissions, while
N2O and CH4 accounted for up to 18 % and 7 %, respectively. The
positive influence of anthropogenic activities on fluvial GHG emissions also
resulted in a breakdown of the expected declining trends of fluvial GHG
emissions with stream size. Therefore, future studies should focus on
anthropogenically perturbed streams, as their GHG emissions are much more
variable in space and time and can potentially introduce the largest
uncertainties to fluvial GHG estimates.
Funder
Deutscher Akademischer Austauschdienst
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
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