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- 1.0586665 - ÚVGZ DATA Scientific data 2024
Stojanović, Marko - Jocher, Georg - Kowalska, Natalia - Szatniewska, Justyna - Zavadilová, Ina - Urban, Otmar - Čáslavský, Josef - Horáček, Petr - Acosta, Manuel - Pavelka, Marian - Marshall, John D.
Soubor primárních dat izotopového složení floémové mízy, jejího toku v dřevinách a hrubé primární produkce smíšeného listnatého lesa.
[Datasets on phloem sap carbon isotope ratio, sap flow in tree species, and gross primary production in a mixed broadleaf forest.]
Description: V rámci tohoto dokumentu jsou zpřístupněny primární datové soubory poměru stabilních izotopů uhlíku v míze a toku floémové mízy (sap flow) u dominantních dřevin smíšeného listnatého lesa (Quercus robur, Fraxinus angustifolia a Carpinus betulus). Dále jsou prezentovány denní sumy hrubé primární produkce ekosystému smíšeného listnatého lesa, odhadnuté pomocí techniky eddy kovariance. Tyto datové soubory obsahují primární hodnoty použité v publikaci Stojanović et al. (2024), s názvem „Disaggregation of Canopy Photosynthesis Among Tree Species in a Mixed Broadleaf Forest“, publikované v časopise Tree Physiology (DOI: 10.1093/treephys/tpae064).
[Primary datasets of carbon isotope ratio in phloem sap and sap flow in dominant tree species of a mixed broadleaf forest (Quercus robur, Fraxinus angustifolia, and Carpinus betulus) are provided. Additionally, daily sums of ecosystem gross primary production in the mixed broadleaf forest, estimated using the eddy-covariance technique, are presented. These datasets contain the primary values used in the publication by Stojanović et al. (2024), titled "Disaggregation of Canopy Photosynthesis Among Tree Species in a Mixed Broadleaf Forest" and published in the journal Tree Physiology (DOI: 10.1093/treephys/tpae064).]
Keywords : Gross primary production * Eddy Covariance * Sap Flow * Phloem isotopes * Deciduous angiosperms * Phenology
OECD category: Plant sciences, botany
DOI: https://doi.org/10.57680/asep.0586665
Handle: https://hdl.handle.net/11104/0354128
Depositor: Urban, Otmar
Date of release: 10.6.2024
License: CC BY 4.0 - Attribution-International license
File Download Size Commentary Access TreePhysiology_Isotope_SapFlow_GPP_SupplementaryData.xlsx 4 73.4 KB open-access R&D Projects: GA MŠMT(CZ) EH22_008/0004635
Institutional support: RVO:86652079 - 2.0585349 - ÚVGZ 2025 RIV NL eng J - Journal Article
Bazzi, H. - Ciais, P. - Abbessi, E. - Makowski, D. - Santaren, D. - Ceschia, E. - Brut, A. - Tallec, T. - Buchmann, N. - Maier, R. - Acosta, Manuel - Loubet, B. - Buysse, P. - Leonard, J. - Bornet, F. - Fayad, I. - Lian, J. - Baghdadi, N. - Barrero, R. S. - Bruemmer, C. - Schmidt, M. - Heinesch, B. - Mauder, M. - Gruenwald, T.
Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe.
International Journal of Applied Earth Observation and Geoinformation. Roč. 127, MAR (2024), č. článku 103666. ISSN 1569-8432. E-ISSN 1872-826X
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : gross primary production * ecosystem respiration * global distribution * soil-moisture * carbon fluxes * satellite * yield * gpp * framework * drought * Carbon Cycle * Data-driven Modelling * Crop Types * modis * Eddy covariance * Sentinel-2
OECD category: Agriculture
Impact factor: 7.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1569843224000207?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0353067File Download Size Commentary Version Access 1-s2.0-S1569843224000207-main.pdf 2 17 MB Publisher’s postprint open-access - 3.0585294 - ÚVGZ 2025 RIV US eng J - Journal Article
Delwiche, K.B. - Nelson, J. - Kowalska, Natalia - Moore, C. E. - Shirkey, G. - Tarin, T. - Cleverly, J. R. - Keenan, T. F.
Charting the Future of the FLUXNET Network.
Bulletin of the American Meteorological Society. Roč. 105, č. 3 (2024), E466-E473. ISSN 0003-0007. E-ISSN 1520-0477
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : eddy covariance * interannual variability * fluxes * carbon * progress * water * asia * Biosphere-atmosphere interaction * Community * Data processing/ distribution * Databases
OECD category: Meteorology and atmospheric sciences
Impact factor: 8, year: 2022
Method of publishing: Open access
https://journals.ametsoc.org/view/journals/bams/105/3/BAMS-D-23-0316.1.xml
Permanent Link: https://hdl.handle.net/11104/0353019File Download Size Commentary Version Access bams-BAMS-D-23-0316.1.pdf 6 760.4 KB Publisher’s postprint open-access - 4.0583556 - BC 2024 RIV DE eng J - Journal Article
Znachor, Petr - Nedoma, Jiří - Kolář, Vojtěch - Matoušů, Anna
Spatial and temporal variability of methane emissions and environmental conditions in a hyper-eutrophic fishpond.
Biogeosciences. Roč. 20, č. 20 (2023), s. 4273-4288. ISSN 1726-4170. E-ISSN 1726-4189
R&D Projects: GA ČR(CZ) GA19-16554S; GA ČR(CZ) GA17-09310S; GA ČR(CZ) GA19-23261S
Institutional support: RVO:60077344
Keywords : greenhouse-gas emissions * eddy covariance * carbon-dioxide * dissolved-oxygen * water-quality * zooplankton
OECD category: Water resources
Impact factor: 4.9, year: 2022
Method of publishing: Open access
https://doi.org/10.5194/bg-20-4273-2023
Permanent Link: https://hdl.handle.net/11104/0351572 - 5.0579713 - ÚI 2024 RIV DE eng C - Conference Paper (international conference)
Tumpach, J. - Koza, J. - Holeňa, Martin
Improving Optimization With Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 23st Conference Information Technologies – Applications and Theory (ITAT 2023). Aachen: Technical University & CreateSpace Independent Publishing, 2023 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Jajcay, R.; Jajcayová, T.; Lexa, M.; Mráz, F.; Pardubská, D.; Plátek, M.), s. 82-88. CEUR Workshop Proceedings, 3498. ISSN 1613-0073.
[ITAT 2023: Conference Information Technologies – Applications and Theory /23./. Tatranské Matliare (SK), 22.09.2023-26.09.2023]
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : black-box optimization * covariance matrix adaptation evolution strategy * surrogate modelling * Gaussian processes
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ceur-ws.org/Vol-3498/paper10.pdf
Permanent Link: https://hdl.handle.net/11104/0348533 - 6.0579129 - BC 2024 RIV CH eng J - Journal Article
Badraghi, A. - Novotná, B. - Frouz, Jan - Krištof, K. - Trakovický, M. - Juriga, M. - Chvila, B. - Montagnani, L.
Temporal dynamics of CO2 fluxes over a non-irrigated vineyard.
Land. Roč. 12, č. 10 (2023), č. článku 1925. E-ISSN 2073-445X
Institutional support: RVO:60077344
Keywords : vineyard * eddy covariance * carbon fluxes * environmental factor * carbon sequestration
OECD category: Soil science
Impact factor: 3.9, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2073-445X/12/10/1925
Permanent Link: https://hdl.handle.net/11104/0348005 - 7.0577397 - ÚVGZ 2024 RIV NL eng J - Journal Article
Fischer, Milan - Katul, G. - Noormets, A. - Pozníková, Gabriela - Domec, J. - Orság, Matěj - Žalud, Zdeněk - Trnka, Miroslav - King, J. S.
Merging flux-variance with surface renewal methods in the roughness sublayer and the atmospheric surface layer.
Agricultural and Forest Meteorology. Roč. 342, NOV (2023), č. článku 109692. ISSN 0168-1923. E-ISSN 1873-2240
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Eddy covariance * Ramp-cliff temperature pattern * Sensible heat flux * Similarity theory * Surface renewal theory
OECD category: Meteorology and atmospheric sciences
Impact factor: 6.2, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0168192323003829?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0346587 - 8.0576550 - ÚI 2024 RIV US eng J - Journal Article
Yamashita Rios de Sousa, Arthur Matsuo - Hlinka, Jaroslav
Sign patterns symbolization and its use in improved dependence test for complex network inference.
Chaos. Roč. 33, č. 8 (2023), č. článku 083131. ISSN 1054-1500. E-ISSN 1089-7682
R&D Projects: GA ČR(CZ) GA21-17211S
Grant - others:GA AV ČR(CZ) L100302001
Institutional support: RVO:67985807
Keywords : Non linear dynamics * Data analysis * Signal processing * Network theory * Probability theory * Covariance and correlation * Random walks * Statistical analysis * Stochastic processes * Time series analysis
OECD category: Statistics and probability
Impact factor: 2.9, year: 2022
Method of publishing: Limited access
https://doi.org/10.1063/5.0160868
Permanent Link: https://hdl.handle.net/11104/0346108 - 9.0576043 - ÚVGZ 2024 RIV NL eng J - Journal Article
Tang, A. C. I. - Flechard, CH.R. - Arriga, N. - Papale, D. - Stoy, P.C. - Buchmann, N. - Cuntz, M. - Douros, J. - Fares, S. - Knohl, A. - Šigut, Ladislav - Simioni, G. - Timmermans, R. - Gruenwald, T. - Ibrom, A. - Loubet, B. - Mammarella, I. - Marchesini, L. B. - Nilsson, M. - Peichl, M. - Rebmann, C. - Schmidt, M. - Bernhofer, C. - Berveiller, D. - Cremonese, E. - El-Madany, T. S. - Gharun, M. - Gianelle, D. - Hörtnagl, L. - Roland, M. - Varlagin, A. - Fu, Z. - Heinesch, B. - Janssens, I. - Kowalska, Natalia - Dušek, Jiří - Gerosa, G. - Molder, M. - Tuittila, E. S. - Loustau, D.
Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown.
Science of the Total Environment. Roč. 903, DEC (2023), č. článku 166149. ISSN 0048-9697. E-ISSN 1879-1026
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Gross primary production * covid-19 * Air quality * Shortwave irradiance * Aerosol optical depth * Eddy covariance
OECD category: Plant sciences, botany
Impact factor: 9.8, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0048969723047745?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0345741File Download Size Commentary Version Access 1-s2.0-S0048969723047745-main.pdf 6 7 MB Publisher’s postprint open-access - 10.0572656 - NHU-C 2024 RIV US eng J - Journal Article
Anatolyev, Stanislav - Staněk, Filip
Unrestricted, restricted, and regularized models for forecasting multivariate volatility.
Studies in Nonlinear Dynamics and Econometrics. Roč. 27, č. 2 (2023), s. 199-218. ISSN 1081-1826. E-ISSN 1558-3708
R&D Projects: GA ČR(CZ) GA20-28055S
Grant - others:UK(CZ) GAUK 264120
Institutional support: Cooperatio-COOP
Keywords : BEKK * CAW * covariance matrix
OECD category: Applied Economics, Econometrics
Impact factor: 0.8, year: 2022
Method of publishing: Limited access
https://doi.org/10.1515/snde-2021-0064
Permanent Link: https://hdl.handle.net/11104/0343259