Search results
- 1.0560460 - ÚVGZ 2023 RIV CZ eng K - Conference Paper (Czech conference)
Zavadilová, Ina - Szatniewska, Justyna - Vágner, Lukáš - Krejza, Jan - Pavelka, Marian
A variety of transpiration in the young spruce stands with different thinning management.
MendelNet 2021: Proceedings of 28th International PhD Students Conference. Brno: Mendel University in Brno, 2021 - (Cerkal, R.; Březinová Belcredi, N.; Prokešová, L.), s. 49-54. ISBN 978-80-7509-821-4.
[MendelNet 2021, Brno, 2021/11/10-2021/11/10, Mendelova univerzita. Brno (CZ), 10.11.2021-10.11.2021]
R&D Projects: GA MŠMT(CZ) EF16_019/0000797; GA MŠMT(CZ) LM2018123
Institutional support: RVO:86652079
Keywords : norway spruce * norway spruce * water consumption * sap flow * biomass production * thinning treatment
OECD category: Forestry
https://mendelnet.cz/artkey/mnt-202101-0007_A-variety-of-transpiration-in-the-young-spruce-stands-with-different-thinning-management.php?back=%2Fsearch.php%3Fquery%3DA%2Bvariety%2Bof%2Btranspiration%2Bin%2Bthe%2Byoung%2Bspruce%2Bstands%2Bwith%2Bdifferent%2Bthinning%2Bmanagement%2Bin%253Aauth%2Bname%26sfrom%3D0%26spage%3D30
Permanent Link: https://hdl.handle.net/11104/0333387 - 2.0543707 - ÚVGZ 2022 RIV CZ eng K - Conference Paper (Czech conference)
Samec, Pavel - Balková, M. (ed.) - Kučera, A. (ed.)
Forest Soil Physico-Chemical Sorption Spatial Links in Central-European Systems of Site Geographical Divisions.
CONTEMPLATING EARTH: SOIL AND LANDSCAPE CONSIDERATIONS. Brno: Mendel university Brno, 2020 - (Balkova, M.; Kucera, A.; Samec, P.), (2020), s. 75-89. ISBN 978-80-7509-766-8.
[Conference on Contemplating Earth - A Solution within Research Project TJ02000265 - Multifunctional Anti-Erosion Measures as part of the Adaptable Landscape. Brno (CZ), 01.10.2020-02.10.2020]
R&D Projects: GA MŠMT(CZ) LM2018123
Institutional support: RVO:86652079
Keywords : cation-exchange capacity * organic-matter * weighted regression * resolution * fractions * ratios * soil aluminium * base saturation * geodiversity * geographically weighted regression
OECD category: Forestry
Permanent Link: http://hdl.handle.net/11104/0320881