Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes

Boreal lakes are the most abundant lakes on Earth. Changes in acid rain deposition, climate, and catchment land use have increased lateral fluxes of terrestrial dissolved organic matter (DOM), resulting in a widespread browning of boreal freshwaters. This browning affects the aqueous communities and...

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Published in:Frontiers in Environmental Science
Main Authors: Valiente Parra, Nicolás, Eiler, Alexander, Allesson, Lina, Andersen, Tom, Clayer, François, Crapart, Camille, Dörsch, Peter, Fontaine, Laurent, Heuschele, Jan, Vogt, Rolf D., Wei, Jing, Wit, Heleen A. de, Hessen, Dag O.
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers 2022
Subjects:
Online Access:https://hdl.handle.net/10578/33043
https://doi.org/10.3389/fenvs.2022.880619
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spelling ftunivclm:oai:ruidera.uclm.es:10578/33043 2024-05-19T07:33:12+00:00 Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes Valiente Parra, Nicolás Eiler, Alexander Allesson, Lina Andersen, Tom Clayer, François Crapart, Camille Dörsch, Peter Fontaine, Laurent Heuschele, Jan Vogt, Rolf D. Wei, Jing Wit, Heleen A. de Hessen, Dag O. 2022 application/pdf https://hdl.handle.net/10578/33043 https://doi.org/10.3389/fenvs.2022.880619 en eng Frontiers ARCTIC-BIODIVER project Valiente, N., Eiler, A., Allesson, L., Andersen, T., Clayer, F., Crapart, C., . & Hessen, D. O. (2022). Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes. Frontiers in Environmental Science, 10, 880619. DOI 10.3389/fenvs.2022.880619 doi:10.3389/fenvs.2022.880619 2296-665X https://hdl.handle.net/10578/33043 info:eu-repo/semantics/openAccess Boreal lake Brownification Catchment Lake interactions Land cover change Land use Methane biogeochemistry info:eu-repo/semantics/article 2022 ftunivclm https://doi.org/10.3389/fenvs.2022.880619 2024-04-30T23:47:41Z Boreal lakes are the most abundant lakes on Earth. Changes in acid rain deposition, climate, and catchment land use have increased lateral fluxes of terrestrial dissolved organic matter (DOM), resulting in a widespread browning of boreal freshwaters. This browning affects the aqueous communities and ecosystem processes, and boost emissions of the greenhouse gases (GHG) CH4, CO2, and N2O. In this study, we predicted biotic saturation of GHGs in boreal lakes by using a set of chemical, hydrological, climate, and land use parameters. For this purpose, concentrations of GHGs and nutrients (organic C, -P, and -N) were determined in surface water samples from 73 lakes in south-eastern Norway covering wide ranges in DOM and nutrient concentrations, as well as catchment properties and land use. The spatial variation in saturation of each GHG is related to explanatory variables. Catchment characteristics (hydrological and climate parameters) such as lake size and summer precipitation, as well as NDVI, were key determinants when fitting GAM models for CH4 and CO2 saturation (explaining 71 and 54%, respectively), while summer precipitation and land use data were the best predictors for the N2O saturation, explaining almost 50% of deviance. Our results suggest that lake size, precipitation, and terrestrial primary production in the watershed control the saturation of GHG in boreal lakes. These predictions based on the 73-lake dataset was validated against an independent dataset from 46 lakes in the same region. Together, this provides an improved understanding of drivers and spatial variation in GHG saturation in boreal lakes across wide gradients of lake and catchment properties. The assessment highlights the need to incorporate multiple explanatory parameters in prediction models of GHGs for extrapolation across the boreal biome. Article in Journal/Newspaper Arctic Universidad de Castilla-La Mancha: Repositorio Universitario Institucional de Recursos Abiertos (RUIdeRA) Frontiers in Environmental Science 10
institution Open Polar
collection Universidad de Castilla-La Mancha: Repositorio Universitario Institucional de Recursos Abiertos (RUIdeRA)
op_collection_id ftunivclm
language English
topic Boreal lake
Brownification
Catchment
Lake interactions
Land cover change
Land use
Methane biogeochemistry
spellingShingle Boreal lake
Brownification
Catchment
Lake interactions
Land cover change
Land use
Methane biogeochemistry
Valiente Parra, Nicolás
Eiler, Alexander
Allesson, Lina
Andersen, Tom
Clayer, François
Crapart, Camille
Dörsch, Peter
Fontaine, Laurent
Heuschele, Jan
Vogt, Rolf D.
Wei, Jing
Wit, Heleen A. de
Hessen, Dag O.
Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
topic_facet Boreal lake
Brownification
Catchment
Lake interactions
Land cover change
Land use
Methane biogeochemistry
description Boreal lakes are the most abundant lakes on Earth. Changes in acid rain deposition, climate, and catchment land use have increased lateral fluxes of terrestrial dissolved organic matter (DOM), resulting in a widespread browning of boreal freshwaters. This browning affects the aqueous communities and ecosystem processes, and boost emissions of the greenhouse gases (GHG) CH4, CO2, and N2O. In this study, we predicted biotic saturation of GHGs in boreal lakes by using a set of chemical, hydrological, climate, and land use parameters. For this purpose, concentrations of GHGs and nutrients (organic C, -P, and -N) were determined in surface water samples from 73 lakes in south-eastern Norway covering wide ranges in DOM and nutrient concentrations, as well as catchment properties and land use. The spatial variation in saturation of each GHG is related to explanatory variables. Catchment characteristics (hydrological and climate parameters) such as lake size and summer precipitation, as well as NDVI, were key determinants when fitting GAM models for CH4 and CO2 saturation (explaining 71 and 54%, respectively), while summer precipitation and land use data were the best predictors for the N2O saturation, explaining almost 50% of deviance. Our results suggest that lake size, precipitation, and terrestrial primary production in the watershed control the saturation of GHG in boreal lakes. These predictions based on the 73-lake dataset was validated against an independent dataset from 46 lakes in the same region. Together, this provides an improved understanding of drivers and spatial variation in GHG saturation in boreal lakes across wide gradients of lake and catchment properties. The assessment highlights the need to incorporate multiple explanatory parameters in prediction models of GHGs for extrapolation across the boreal biome.
format Article in Journal/Newspaper
author Valiente Parra, Nicolás
Eiler, Alexander
Allesson, Lina
Andersen, Tom
Clayer, François
Crapart, Camille
Dörsch, Peter
Fontaine, Laurent
Heuschele, Jan
Vogt, Rolf D.
Wei, Jing
Wit, Heleen A. de
Hessen, Dag O.
author_facet Valiente Parra, Nicolás
Eiler, Alexander
Allesson, Lina
Andersen, Tom
Clayer, François
Crapart, Camille
Dörsch, Peter
Fontaine, Laurent
Heuschele, Jan
Vogt, Rolf D.
Wei, Jing
Wit, Heleen A. de
Hessen, Dag O.
author_sort Valiente Parra, Nicolás
title Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
title_short Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
title_full Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
title_fullStr Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
title_full_unstemmed Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
title_sort catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes
publisher Frontiers
publishDate 2022
url https://hdl.handle.net/10578/33043
https://doi.org/10.3389/fenvs.2022.880619
genre Arctic
genre_facet Arctic
op_relation ARCTIC-BIODIVER project
Valiente, N., Eiler, A., Allesson, L., Andersen, T., Clayer, F., Crapart, C., . & Hessen, D. O. (2022). Catchment properties as predictors of greenhouse gas concentrations across a gradient of boreal lakes. Frontiers in Environmental Science, 10, 880619. DOI 10.3389/fenvs.2022.880619
doi:10.3389/fenvs.2022.880619
2296-665X
https://hdl.handle.net/10578/33043
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3389/fenvs.2022.880619
container_title Frontiers in Environmental Science
container_volume 10
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