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2. Comparison of static chambers to measure CH4 emissions from soils

Author

Pihlatie, Mari K., Christiansen, Jesper Riis, Aaltonen, Hermanni, Korhonen, Janne F.J., Nordbo, Annika, Rasilo, Terhi, Benanti, Giuseppe, Giebels, Michael, Helmy, Mohamed, Sheehy, Jatta, Jones, Stephanie, Juszczak, Radoslaw, Klefoth, Roland, Lobo-do-Vale, Raquel, Rosa, Ana Paula, Schreiber, Peter, Serça, Dominique, Vicca, Sara, Wolf, Benjamin, and Pumpanen, Jukka

Published
2013
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4. Carbon-nitrogen interactions in European forests and semi-natural vegetation - Part 1: Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling

Author

Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., de Vries, Wim, Van Oijen, Marcel, Cameron, David R., Dise, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, André-Jean, Augustin, Jürgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radosław, Aurela, Mika, Berveiller, Daniel, Chojnicki, Bogdan H., Dämmgen, Ulrich, Delpierre, Nicolas, Djuricic, Vesna, Drewer, Julia, Dufrêne, Eric, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horváth, László, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean-Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria-Teresa, Tang, Y. Sim, Uggerud, Hilde, Urbaniak, Marek, van Dijk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamás, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, Nemitz, Eiko, Sutton, Mark A., Sol Agro et hydrosystème Spatialisation (SAS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Centre for Ecology and Hydrology [Edinburgh] (CEH), Natural Environment Research Council (NERC), Wageningen University and Research [Wageningen] (WUR), School of Communication, Charles Sturt University [Australia], Department of Environmental & Geographical Sciences, Manchester Metropolitan University (MMU), Department of Physics, Institute of Agricultural Sciences [Zürich], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Unité de recherche Biogéochimie des Ecosystèmes Forestiers (BEF), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Norwegian Meteorological Institute [Oslo] (MET), Agro-BioTech Gembloux, Université de Liège, Unité de bioclimatologie, Institut National de la Recherche Agronomique (INRA), Servizi Forestali, Provincia Autonoma di Bolzano, Agenzia per l'Ambiente, Research Institute for Nature and Forest (INBO), Department of Biology, University of Antwerp (UA), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), INRES Bodenwissenschaften, Rheinische Friedrich-Wilhelms-Universität Bonn, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Department of Meteorology, Faculty of Wood Technology, Poznan' University of Life Sciences, Poznan University of Life Sciences-Poznan University of Life Sciences, Climate and Global Change Research [Helsinki], Finnish Meteorological Institute (FMI), Ecologie Systématique et Evolution (ESE), Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Faculty of Environment Engineering and Spatial Management, Department of Meteorology, Poznan University of Life Sciences, Institute for Agricultural Climate Research, Centre for Ecology and Hydrology, Biogéochimie et écologie des milieux continentaux (Bioemco), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Observatoire des Abeilles, Institute of Plant, Animal and Agroecosystem Sciences, NERC Centre of Ecology and Hydrology (CEH), University of Amsterdam [Amsterdam] (UvA), Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Edinburgh Research Station, Earth System Science and Climate Change Group, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Agronomy Institute, Technical University of Lisbon, Atmospheric Composition Research [Helsinki], Division of Ecosystems Processes Lab. of Plants Ecological Physiology, Institute of Systems Biology and Ecology, Inst Agroenvironm & Forest Biol, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Slovak Hydrometeorological Institute, Slovak Hydrometeorological Institute (SHMU), Neftel Research Expertise, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Biosystems Division [Roskilde], Risø National Laboratory for Sustainable Energy (Risø DTU), Danmarks Tekniske Universitet = Technical University of Denmark (DTU)-Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Mechanical Engineering Department, Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), IT University of Copenhagen (ITU), Laboratory of Functional Ecology and Global Change (ECOFUN), Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), Department of Forest Sciences [Helsinki], Faculty of Agriculture and Forestry [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Université Catholique de Louvain = Catholic University of Louvain (UCL), Institute of Soil Sciences, Vienna, University of Vienna [Vienna], Bush Estate, Centre for Ecology & Hydrology, GOCE-CT-2003-505572, Sixth Framework Programme, 282910, Seventh Framework Programme, European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), European Project: 28980,CARBOEUROPE-IP, AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Technical University of Denmark [Lyngby] (DTU), Research Institute for Nature and Forest, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Consiglio Nazionale delle Ricerche [Roma] (CNR), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Technical University of Denmark [Lyngby] (DTU)-Technical University of Denmark [Lyngby] (DTU), IT University of Copenhagen, University of Helsinki-University of Helsinki, Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Jonchère, Laurent, Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosystems - ECLAIRE - - EC:FP7:ENV2011-10-01 - 2015-09-30 - 282910 - VALID, ASSESSMENT OF THE EUROPEAN TERRESTRIAL CARBON BALANCE - CARBOEUROPE-IP - 28980 - OLD, and UCL - SST/ELI/ELIE - Environmental Sciences

Subjects
[SDE] Environmental Sciences, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, TROPICAL FORESTS, Atmospheric Sciences, DRY DEPOSITION, Behavior and Systematics, QUALITY-CONTROL, greenhouse gases, ddc:550, BOREAL FORESTS, SDG 13 - Climate Action, LONG-TERM IMPACTSEDDY-COVARIANCEREACTIVE NITROGENDRY DEPOSITIONORGANIC NITROGENTROPICAL FORESTSQUALITY-CONTROLBOREAL FORESTSOXIDE FLUXESTREE GROWTH, REACTIVE NITROGEN, Biology, Earth-Surface Processes, ecosystem, TREE GROWTH, Ecology, Physics, LONG-TERM IMPACTS, European forest, EDDY-COVARIANCE, Chemistry, Earth sciences, ORGANIC NITROGEN, [SDE.MCG] Environmental Sciences/Global Changes, semi-natural vegetation, [SDE]Environmental Sciences, carbon-nitrogen, OXIDE FLUXES
Abstract

The impact of atmospheric reactive nitrogen (Nr) deposition on carbon (C) sequestration in soils and biomass of unfertilized, natural, semi-natural and forest ecosystems has been much debated. Many previous results of this dC∕dN response were based on changes in carbon stocks from periodical soil and ecosystem inventories, associated with estimates of Nr deposition obtained from large-scale chemical transport models. This study and a companion paper (Flechard et al., 2020) strive to reduce uncertainties of N effects on C sequestration by linking multi-annual gross and net ecosystem productivity estimates from 40 eddy covariance flux towers across Europe to local measurement-based estimates of dry and wet Nr deposition from a dedicated collocated monitoring network. To identify possible ecological drivers and processes affecting the interplay between C and Nr inputs and losses, these data were also combined with in situ flux measurements of NO, N2O and CH4 fluxes; soil NO−3 leaching sampling; and results of soil incubation experiments for N and greenhouse gas (GHG) emissions, as well as surveys of available data from online databases and from the literature, together with forest ecosystem (BASFOR) modelling. Multi-year averages of net ecosystem productivity (NEP) in forests ranged from −70 to 826 g C m−2 yr−1 at total wet + dry inorganic Nr deposition rates (Ndep) of 0.3 to 4.3 g N m−2 yr−1 and from −4 to 361 g C m−2 yr−1 at Ndep rates of 0.1 to 3.1 g N m−2 yr−1 in short semi-natural vegetation (moorlands, wetlands and unfertilized extensively managed grasslands). The GHG budgets of the forests were strongly dominated by CO2 exchange, while CH4 and N2O exchange comprised a larger proportion of the GHG balance in short semi-natural vegetation. Uncertainties in elemental budgets were much larger for nitrogen than carbon, especially at sites with elevated Ndep where Nr leaching losses were also very large, and compounded by the lack of reliable data on organic nitrogen and N2 losses by denitrification. Nitrogen losses in the form of NO, N2O and especially NO−3 were on average 27 % (range 6 %–54 %) of Ndep at sites with Ndep 3 g N m−2 yr−1. Such large levels of Nr loss likely indicate that different stages of N saturation occurred at a number of sites. The joint analysis of the C and N budgets provided further hints that N saturation could be detected in altered patterns of forest growth. Net ecosystem productivity increased with Nr deposition up to 2–2.5 g N m−2 yr−1, with large scatter associated with a wide range in carbon sequestration efficiency (CSE, defined as the NEP ∕ GPP ratio). At elevated Ndep levels (> 2.5 g N m−2 yr−1), where inorganic Nr losses were also increasingly large, NEP levelled off and then decreased. The apparent increase in NEP at low to intermediate Ndep levels was partly the result of geographical cross-correlations between Ndep and climate, indicating that the actual mean dC∕dN response at individual sites was significantly lower than would be suggested by a simple, straightforward regression of NEP vs. Ndep. The authors gratefully acknowledge financial support by the European Commission through the two FP6 integrated projects CarboEurope Integrated Project (project no. GOCE-CT-2003-505572) and NitroEurope Integrated Project (project no. 017841), the FP7 ECLAIRE project (grant agreement no. 282910), and the ABBA COST Action ES0804. We are also thankful for funding from the French GIP-ECOFOR consortium under the F-ORE-T forest observation and experimentation network, as well as from the MDM-2017-0714 Spanish grant. Computer time for EMEP model runs was supported by the Research Council of Norway through the NOTUR project EMEP (NN2890K). Finalization of the paper was supported by the UK Natural Environment Research Council award number NE/R016429/1 as part of the UKSCAPE programme delivering national capability.

Published
2020

5. Carbon-nitrogen interactions in European forests and semi-natural vegetation - Part 1:Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling

Author

Sutton, Mark A., Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., De Vries, Wim, Van Oijen, Marcel, Cameron, David R., DIse, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, Andre Jean, Augustin, Jurgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radoslaw, Aurela, Mika, Berveiller, Daniel, Chojnicki, Bogdan H., Dämmgen, Ulrich, Delpierre, Nicolas, Djuricic, Vesna, Drewer, Julia, Dufrêne, Eric, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horvath, Laszlo, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria Teresa, Sim Tang, Y., Uggerud, Hilde, Urbaniak, Marek, Van DIjk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamas, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, Nemitz, Eiko, Sutton, Mark A., Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., De Vries, Wim, Van Oijen, Marcel, Cameron, David R., DIse, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, Andre Jean, Augustin, Jurgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radoslaw, Aurela, Mika, Berveiller, Daniel, Chojnicki, Bogdan H., Dämmgen, Ulrich, Delpierre, Nicolas, Djuricic, Vesna, Drewer, Julia, Dufrêne, Eric, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horvath, Laszlo, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria Teresa, Sim Tang, Y., Uggerud, Hilde, Urbaniak, Marek, Van DIjk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamas, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, and Nemitz, Eiko

Abstract

The impact of atmospheric reactive nitrogen (Nr) deposition on carbon (C) sequestration in soils and biomass of unfertilized, natural, semi-natural and forest ecosystems has been much debated. Many previous results of this dC=dN response were based on changes in carbon stocks from periodical soil and ecosystem inventories, associated with estimates of Nr deposition obtained from large-scale chemical transport models. This study and a companion paper (Flechard et al., 2020) strive to reduce uncertainties of N effects on C sequestration by linking multi-annual gross and net ecosystem productivity estimates from 40 eddy covariance flux towers across Europe to local measurement-based estimates of dry and wet Nr deposition from a dedicated collocated monitoring network. To identify possible ecological drivers and processes affecting the interplay between C and Nr inputs and losses, these data were also combined with in situ flux measurements of NO, N2O and CH4 fluxes; soil NO3 leaching sampling; and results of soil incubation experiments for N and greenhouse gas (GHG) emissions, as well as surveys of available data from online databases and from the literature, together with forest ecosystem (BASFOR) modelling. Multi-year averages of net ecosystem productivity (NEP) in forests ranged from 70 to 826 gCm2 yr1 at total wetCdry inorganic Nr deposition rates (Ndep) of 0.3 to 4.3 gNm2 yr1 and from 4 to 361 g Cm2 yr1 at Ndep rates of 0.1 to 3.1 gNm2 yr1 in short semi-natural vegetation (moorlands, wetlands and unfertilized extensively managed grasslands). The GHG budgets of the forests were strongly dominated by CO2 exchange, while CH4 and N2O exchange comprised a larger proportion of the GHG balance in short semi-natural vegetation. Uncertainties in elemental budgets were much larger for nitrogen than carbon, especially at sites with elevated Ndep where Nr leaching losses were also very large, and compounded by the lack of reliable data on organic nitrogen and N2 losses by

Published
2020

6. Carbon-nitrogen interactions in European forests and semi-natural vegetation - Part 1 : Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling

Author

Sutton, Mark A., Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., De Vries, Wim, Van Oijen, Marcel, Cameron, David R., DIse, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, Andre Jean, Augustin, Jurgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radoslaw, Aurela, Mika, Berveiller, Daniel, Chojnicki, Bogdan H., Dämmgen, Ulrich, Delpierre, Nicolas, Djuricic, Vesna, Drewer, Julia, Dufrêne, Eric, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horvath, Laszlo, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria Teresa, Sim Tang, Y., Uggerud, Hilde, Urbaniak, Marek, Van DIjk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamas, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, Nemitz, Eiko, Sutton, Mark A., Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., De Vries, Wim, Van Oijen, Marcel, Cameron, David R., DIse, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, Andre Jean, Augustin, Jurgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radoslaw, Aurela, Mika, Berveiller, Daniel, Chojnicki, Bogdan H., Dämmgen, Ulrich, Delpierre, Nicolas, Djuricic, Vesna, Drewer, Julia, Dufrêne, Eric, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horvath, Laszlo, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria Teresa, Sim Tang, Y., Uggerud, Hilde, Urbaniak, Marek, Van DIjk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamas, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, and Nemitz, Eiko

Abstract

The impact of atmospheric reactive nitrogen (Nr) deposition on carbon (C) sequestration in soils and biomass of unfertilized, natural, semi-natural and forest ecosystems has been much debated. Many previous results of this dC=dN response were based on changes in carbon stocks from periodical soil and ecosystem inventories, associated with estimates of Nr deposition obtained from large-scale chemical transport models. This study and a companion paper (Flechard et al., 2020) strive to reduce uncertainties of N effects on C sequestration by linking multi-annual gross and net ecosystem productivity estimates from 40 eddy covariance flux towers across Europe to local measurement-based estimates of dry and wet Nr deposition from a dedicated collocated monitoring network. To identify possible ecological drivers and processes affecting the interplay between C and Nr inputs and losses, these data were also combined with in situ flux measurements of NO, N2O and CH4 fluxes; soil NO3 leaching sampling; and results of soil incubation experiments for N and greenhouse gas (GHG) emissions, as well as surveys of available data from online databases and from the literature, together with forest ecosystem (BASFOR) modelling. Multi-year averages of net ecosystem productivity (NEP) in forests ranged from 70 to 826 gCm2 yr1 at total wetCdry inorganic Nr deposition rates (Ndep) of 0.3 to 4.3 gNm2 yr1 and from 4 to 361 g Cm2 yr1 at Ndep rates of 0.1 to 3.1 gNm2 yr1 in short semi-natural vegetation (moorlands, wetlands and unfertilized extensively managed grasslands). The GHG budgets of the forests were strongly dominated by CO2 exchange, while CH4 and N2O exchange comprised a larger proportion of the GHG balance in short semi-natural vegetation. Uncertainties in elemental budgets were much larger for nitrogen than carbon, especially at sites with elevated Ndep where Nr leaching losses were also very large, and compounded by the lack of reliable data on organic nitrogen and N2 losses by den

Published
2020

7. Carbon/nitrogen interactions in European forests and semi-natural vegetation. Part I: Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling

Author

Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., de Vries, Wim, Van Oijen, Marcel, Cameron, David R., Dise, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, André-Jean, Augustin, Jürgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radosław, Aurela, Mika, Chojnicki, Bogdan H., Dämmgen, Ulrich, Djuricic, Vesna, Drewer, Julia, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horváth, László, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean-Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria-Teresa, Tang, Y. Sim, Uggerud, Hilde, Urbaniak, Marek, van Dijk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamás, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, Nemitz, Eiko, and Sutton, Mark A.

Abstract

ISSN:1810-6277 ISSN:1810-6285

Published
2019

8. Climatic controls on leaf litter decomposition across European forests and grasslands revealed by reciprocal litter transplantation experiments

Author

Portillo-Estrada, Miguel, Pihlatie, Mari, Korhonen, Janne F.J., Levula, Janne, Frumau, Arnoud K.F., Ibrom, Andreas, Lembrechts, Jonas J., Morillas, Lourdes, Horvath, Laszlo, Jones, Stephanie K., Niinemets, Ulo, Portillo-Estrada, Miguel, Pihlatie, Mari, Korhonen, Janne F.J., Levula, Janne, Frumau, Arnoud K.F., Ibrom, Andreas, Lembrechts, Jonas J., Morillas, Lourdes, Horvath, Laszlo, Jones, Stephanie K., and Niinemets, Ulo

Abstract

Carbon (C) and nitrogen (N) cycling under future climate change is associated with large uncertainties in litter decomposition and the turnover of soil C and N. In addition, future conditions (especially altered precipitation regimes and warming) are expected to result in changes in vegetation composition, and accordingly in litter species and chemical composition, but it is unclear how such changes could potentially alter litter decomposition. Litter transplantation experiments were carried out across six European sites (four forests and two grasslands) spanning a large geographical and climatic gradient (5.6–11.4 °C in annual temperature 511–878 mm in precipitation) to gain insight into the climatic controls on litter decomposition as well as the effect of litter origin and species. The decomposition k rates were overall higher in warmer and wetter sites than in colder and drier sites, and positively correlated with the litter total specific leaf area. Also, litter N content increased as less litter mass remained and decay went further. Surprisingly, this study demonstrates that climatic controls on litter decomposition are quantitatively more important than species or site of origin. Cumulative climatic variables, precipitation, soil water content and air temperature (ignoring days with air temperatures below zero degrees Celsius), were appropriate to predict the litter remaining mass during decomposition (Mr). Mr and cumulative air temperature were found to be the best predictors for litter carbon and nitrogen remaining during the decomposition. Using mean annual air temperature, precipitation, soil water content and litter total specific leaf area as parameters we were able to predict the annual decomposition rate (k) accurately.

Published
2016

10. Carbon-nitrogen interactions in European forests and semi-natural vegetation - Part 1: Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling

Author

Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., de Vries, Wim, Van Oijen, Marcel, Cameron, David R., Dise, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, André-Jean, Augustin, Jürgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radosław, Aurela, Mika, Berveiller, Daniel, Chojnicki, Bogdan H., Dämmgen, Ulrich, Delpierre, Nicolas, Djuricic, Vesna, Drewer, Julia, Dufrêne, Éric, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horváth, László, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean-Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria-Teresa, Tang, Y. Sim, Uggerud, Hilde, Urbaniak, Marek, van Dijk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamás, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, Nemitz, Eiko, and Sutton, Mark A.

Subjects
13. Climate action, 15. Life on land
Abstract

The impact of atmospheric reactive nitrogen (Nr) deposition on carbon (C) sequestration in soils and biomass of unfertilized, natural, semi-natural and forest ecosystems has been much debated. Many previous results of this dC∕dN response were based on changes in carbon stocks from periodical soil and ecosystem inventories, associated with estimates of Nr deposition obtained from large-scale chemical transport models. This study and a companion paper (Flechard et al., 2020) strive to reduce uncertainties of N effects on C sequestration by linking multi-annual gross and net ecosystem productivity estimates from 40 eddy covariance flux towers across Europe to local measurement-based estimates of dry and wet Nr deposition from a dedicated collocated monitoring network. To identify possible ecological drivers and processes affecting the interplay between C and Nr inputs and losses, these data were also combined with in situ flux measurements of NO, N2O and CH4 fluxes; soil leaching sampling; and results of soil incubation experiments for N and greenhouse gas (GHG) emissions, as well as surveys of available data from online databases and from the literature, together with forest ecosystem (BASFOR) modelling. Multi-year averages of net ecosystem productivity (NEP) in forests ranged from −70 to 826 g C m−2 yr−1 at total wet + dry inorganic Nr deposition rates (Ndep) of 0.3 to 4.3 g N m−2 yr−1 and from −4 to 361 g C m−2 yr−1 at Ndep rates of 0.1 to 3.1 g N m−2 yr−1 in short semi-natural vegetation (moorlands, wetlands and unfertilized extensively managed grasslands). The GHG budgets of the forests were strongly dominated by CO2 exchange, while CH4 and N2O exchange comprised a larger proportion of the GHG balance in short semi-natural vegetation. Uncertainties in elemental budgets were much larger for nitrogen than carbon, especially at sites with elevated Ndep where Nr leaching losses were also very large, and compounded by the lack of reliable data on organic nitrogen and N2 losses by denitrification. Nitrogen losses in the form of NO, N2O and especially were on average 27 % (range 6 %–54 %) of Ndep at sites with Ndep 3 g N m−2 yr−1. Such large levels of Nr loss likely indicate that different stages of N saturation occurred at a number of sites. The joint analysis of the C and N budgets provided further hints that N saturation could be detected in altered patterns of forest growth. Net ecosystem productivity increased with Nr deposition up to 2–2.5 g N m−2 yr−1, with large scatter associated with a wide range in carbon sequestration efficiency (CSE, defined as the NEP ∕ GPP ratio). At elevated Ndep levels (> 2.5 g N m−2 yr−1), where inorganic Nr losses were also increasingly large, NEP levelled off and then decreased. The apparent increase in NEP at low to intermediate Ndep levels was partly the result of geographical cross-correlations between Ndep and climate, indicating that the actual mean dC∕dN response at individual sites was significantly lower than would be suggested by a simple, straightforward regression of NEP vs. Ndep., Biogeosciences, 17 (6), ISSN:1726-4170

11. Carbon/nitrogen interactions in European forests and semi-natural vegetation. Part I: Fluxes and budgets of carbon, nitrogen and greenhouse gases from ecosystem monitoring and modelling

Author

Flechard, Chris R., Ibrom, Andreas, Skiba, Ute M., de Vries, Wim, Van Oijen, Marcel, Cameron, David R., Dise, Nancy B., Korhonen, Janne F.J., Buchmann, Nina, Legout, Arnaud, Simpson, David, Sanz, Maria J., Aubinet, Marc, Loustau, Denis, Montagnani, Leonardo, Neirynck, Johan, Janssens, Ivan A., Pihlatie, Mari, Kiese, Ralf, Siemens, Jan, Francez, André-Jean, Augustin, Jürgen, Varlagin, Andrej, Olejnik, Janusz, Juszczak, Radosław, Aurela, Mika, Chojnicki, Bogdan H., Dämmgen, Ulrich, Djuricic, Vesna, Drewer, Julia, Eugster, Werner, Fauvel, Yannick, Fowler, David, Frumau, Arnoud, Granier, André, Gross, Patrick, Hamon, Yannick, Helfter, Carole, Hensen, Arjan, Horváth, László, Kitzler, Barbara, Kruijt, Bart, Kutsch, Werner L., Lobo-Do-Vale, Raquel, Lohila, Annalea, Longdoz, Bernard, Marek, Michal V., Matteucci, Giorgio, Mitosinkova, Marta, Moreaux, Virginie, Neftel, Albrecht, Ourcival, Jean-Marc, Pilegaard, Kim, Pita, Gabriel, Sanz, Francisco, Schjoerring, Jan K., Sebastià, Maria-Teresa, Tang, Y. Sim, Uggerud, Hilde, Urbaniak, Marek, van Dijk, Netty, Vesala, Timo, Vidic, Sonja, Vincke, Caroline, Weidinger, Tamás, Zechmeister-Boltenstern, Sophie, Butterbach-Bahl, Klaus, Nemitz, Eiko, and Sutton, Mark A.

Subjects
13. Climate action, 15. Life on land
Abstract

Biogeosciences Discussions, ISSN:1810-6277, ISSN:1810-6285

12. Comparison of static chambers to measure CH4 emissions from soils

Author

Pihlatie, Mari K., Christiansen, Jesper Riis, Aaltonen, Hermanni, Korhonen, Janne F.J., Nordbo, Annika, Rasilo, Terhi, Benanti, Giuseppe, Giebels, Michael, Helmy, Mohamed, Sheehy, Jatta, Jones, Stephanie, Juszczak, Radoslaw, Klefoth, Roland, Lobo-do-Vale, Raquel, Rosa, Ana Paula, Schreiber, Peter, Serça, Dominique, Vicca, Sara, Wolf, Benjamin, and Pumpanen, Jukka

Subjects
*COMPARATIVE studies, *METHANE content of soils, *EMISSIONS (Air pollution), *SOIL porosity, *FLUX (Energy), *LINEAR statistical models, *ESTIMATION theory
Abstract

Abstract: The static chamber method (non-flow-through-non-steady-state chambers) is the most common method to measure fluxes of methane (CH4) from soils. Laboratory comparisons to quantify errors resulting from chamber design, operation and flux calculation methods are rare. We tested fifteen chambers against four flux levels (FL) ranging from 200 to 2300μgCH4 m−2 h−1. The measurements were conducted on a calibration tank using three quartz sand types with soil porosities of 53% (dry fine sand, S1), 47% (dry coarse sand, S2), and 33% (wetted fine sand, S3). The chambers tested ranged from 0.06 to 1.8m in height, and 0.02 to 0.195m3 in volume, 7 of them were equipped with a fan, and 1 with a vent-tube. We applied linear and exponential flux calculation methods to the chamber data and compared these chamber fluxes to the reference fluxes from the calibration tank. The chambers underestimated the reference fluxes by on average 33% by the linear flux calculation method (R lin), whereas the chamber fluxes calculated by the exponential flux calculation method (R exp) did not significantly differ from the reference fluxes (p <0.05). The flux under- or overestimations were chamber specific and independent of flux level. Increasing chamber height, area and volume significantly reduced the flux underestimation (p <0.05). Also, the use of non-linear flux calculation method significantly improved the flux estimation; however, simultaneously the uncertainty in the fluxes was increased. We provide correction factors, which can be used to correct the under- or overestimation of the fluxes by the chambers in the experiment. [Copyright &y& Elsevier]

Published
2013
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