Data from: Potential of typical highland and mountain forests in the Czech Republic for climate-smart forestry: ecosystem-scale drought responses

0545060 - ÚVGZ 2022 US eng O - Others
Jocher, Georg - Kowalska, Natalia - Acosta, Manuel - Krejza, Jan - Marková, I. - Marshall, J. - Uchytilová, Tereza - Pavelka, Marian - Marek, Michal V.
Data from: Potential of typical highland and mountain forests in the Czech Republic for climate-smart forestry: ecosystem-scale drought responses.
Dryad data repository. Roč. 2021, č. 6 (2021), s. 1-1
Institutional support: RVO:86652079
Keywords : carbon use efficiency * light use efficiency * eddy covariance * european beech * net ecosystem carbon exchange * norway spruce
OECD category: Environmental sciences (social aspects to be 5.7)
Method of publishing: Open access
https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt4b8gtsf

Climate-smart forestry (CSF) consists of an extensive framework of actions directed to mitigating and adapting to global climate change impacts on the resilience and productivity of forest ecosystems. The study connected to this data set investigates the impact of the pan-European 2018 drought on carbon exchange dynamics in typical highland and mountain forests in the Czech Republic, including two coniferous (Norway spruce at Bílý Kříž and Rajec) and one deciduous (European beech at Štítná) stand. Our results show annual net ecosystem CO2 uptake at Rajec to be reduced by 50% during the drought year in comparison to a reference year with normal climatic conditions. Bílý Kříž is less affected by drought, as the local microclimate ensures sufficient water supply. The European beech forest at Štítná is most resilient against drought and its negative impacts: there we detect no differences in carbon exchange dynamics between the drought year and the reference year. Our results are demonstrated on the basis of monthly and annual carbon exchange values and corresponding environmental variables. This data set consists of two files, one containing daily average (sum) data, the second one containing 30 minute average data. The 30 minute average data were the basis of all daily, monthly and annual average (sum) data shown in the study connected to this data set.
Permanent Link: http://hdl.handle.net/11104/0322035