Search results
- 1.0547303 - ÚI 2022 eng A - Abstract
Rios Gaona, Manuel F. - Shrestha, P. - Simmer, C.
Uncertainty in decadal precipitation estimates over the Rur catchment.
EGU General Assembly 2020. online: European Geosciences Union, 2020. EGU2020-8413.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
Permanent Link: http://hdl.handle.net/11104/0323568 - 2.0544672 - ÚVGZ 2022 DE eng A - Abstract
Kowalska, Natalia - Jocher, Georg - Šigut, Ladislav - Pavelka, Marian
Floodplain forest carbon exchange – a micrometeorological point of view.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
R&D Projects: GA MŠMT(CZ) LO1415
Institutional support: RVO:86652079
Keywords : eddy covariance * floodplain forest
OECD category: Climatic research
https://www.egu2020.eu/
Permanent Link: http://hdl.handle.net/11104/0321507 - 3.0544664 - ÚVGZ 2022 DE eng A - Abstract
Jocher, Georg - Fischer, Milan - Šigut, Ladislav - Pavelka, Marian - Sedlák, Pavel - Katul, G.
Assessing decoupling of above and below canopy air masses at a Norway spruce stand in complex terrain.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
Institutional support: RVO:86652079
Keywords : advection * bílý kříž forest * eddy covariance * evergreen needleleaf forest * flux filtering * net ecosystem co2 exchange
OECD category: Plant sciences, botany
https://meetingorganizer.copernicus.org/EGU2020/EGU2020-7739.html
Permanent Link: http://hdl.handle.net/11104/0321500 - 4.0544638 - ÚVGZ 2022 DE eng A - Abstract
Pihlatie, M. - Vainio, E. - Haikarainen, I. - Putkinen, A. - Santalahti, M. - Koskinen, M. - Macháčová, Kateřina
Contribution of tree stem and canopy fluxes to the CH4 budget of a boreal birch and spruce forest.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
R&D Projects: GA ČR(CZ) GJ17-18112Y; GA MŠMT(CZ) LO1415
Institutional support: RVO:86652079
Keywords : methane * boreal forest * birch * spruce * stem * shoot * soil * flux * methanogens * methanotrophs * leaf-out period * canopy
OECD category: Plant sciences, botany
www.egu2020.eu
Permanent Link: http://hdl.handle.net/11104/0321469 - 5.0544635 - ÚVGZ 2022 DE eng A - Abstract
Pärn, J. - Soosaar, Kaido - Schindler, Thomas - Macháčová, Kateřina - Muñoz, A.W. - Malaverri, F.M.L. - Aspajo, J.L.J. - Juarez-Negron, R. - Marin, R.E.J. - Espinoza, T.R. - Horna, C.S. - Gómez, P.T. - Muñoz, U.D.J. - Mander, Ülo
High CH4 and N2O emissions from soil and stems of disturbed swamp forests in Peruvian Amazon.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
Institutional support: RVO:86652079
Keywords : methane * nitrous oxide * tropical peatland * amazon * flux * tree stems * palm * soil * swamp forest * cassava field * plantation * environmental factors
OECD category: Plant sciences, botany
www.egu2020.eu
Permanent Link: http://hdl.handle.net/11104/0321468 - 6.0544628 - ÚVGZ 2022 DE eng A - Abstract
Schindler, Thomas - Macháčová, Kateřina - Mander, Ülo - Soosaar, Kaido
Nighttime doesn’t stop N2O and CH4 exchange from riparian forest tree stems with the atmosphere.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
R&D Projects: GA ČR(CZ) GJ17-18112Y; GA MŠMT(CZ) LO1415
Institutional support: RVO:86652079
Keywords : methane * nitrous oxide * riparian forest * tree stem * emission * flux * dirunal pattern
OECD category: Plant sciences, botany
https://www.egu2020.eu/
Permanent Link: http://hdl.handle.net/11104/0321465 - 7.0544627 - ÚVGZ 2022 DE eng A - Abstract
Macháčová, Kateřina - Schindler, Thomas - Mander, Ülo - Soosaar, Kaido
Spruce resins constitute a strong sink for methane (CH4).
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
R&D Projects: GA ČR(CZ) GJ17-18112Y
Institutional support: RVO:86652079
Keywords : methane * uptake * sink * spruce stem * resin * coniferous
OECD category: Plant sciences, botany
https://www.egu2020.eu/
Permanent Link: http://hdl.handle.net/11104/0321464 - 8.0544622 - ÚVGZ 2022 DE eng A - Abstract
Vainio, E. - Galeotti, L. - Ghasemi, H. - Haikarainen, I. - Macháčová, Kateřina - Patama, M. - Pyykkö, P. - Rauna, L. - Pihlatie, M.
The role of trees in the CH4 and N2O exchange in boreal forest.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
R&D Projects: GA ČR(CZ) GJ17-18112Y
Institutional support: RVO:86652079
Keywords : boreal forest * soil moisture * methane * nitrous oxide * birch * spruce * pine * tree * soil * stem * shoot * flux * exchange * chamber
OECD category: Plant sciences, botany
https://www.egu2020.eu/
Permanent Link: http://hdl.handle.net/11104/0321457 - 9.0544620 - ÚVGZ 2022 DE eng A - Abstract
Mander, Ülo - Schindler, Thomas - Macháčová, Kateřina - Krasnova, A. - Escuer-Gatius, J. - Maddison, M. - Pärn, J. - Veber, G. - Krasnov, D. - Soosaar, Kaido
Three-year dynamics of N2O fluxes from soil, stem and canopy in a hemiboreal forest: Impacts of floods and droughts.
EGU General Assembly 2020. on line: European Geosciences Union, 2020.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
Institutional support: RVO:86652079
Keywords : nitrous oxide * hemiboreal forest * tree stem * canopy * eddy covariance * chamber * flux * exchange * dynamics * nitrogen
OECD category: Plant sciences, botany
https://www.egu2020.eu/
Permanent Link: http://hdl.handle.net/11104/0321455 - 10.0535902 - ÚACH 2021 DE eng A - Abstract
Fačevicová, K. - Matys Grygar, Tomáš - Hron, K. - Elznicová, J.
The use of methods of compositional data analysis for the separation of geochemical signals in fluvial sediments.
EGU General Assembly 2020. -: European Geosciences Union, 2020. s. 21224. ISBN N.
[EGU General Assembly 2020. 04.05.2020-08.05.2020, online]
Institutional support: RVO:61388980
Keywords : compositional data analysis
OECD category: Environmental sciences (social aspects to be 5.7)
https://www.egu2020.eu/
Permanent Link: http://hdl.handle.net/11104/0313785File Download Size Commentary Version Access Use.pdf 0 297.8 KB CC BY 4.0 licence Publisher’s postprint open-access