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

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 Å títná) 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 Å títná 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 demonstrat...气候智能型林业（Climate-smart forestry, CSF）是一套涵盖多类行动的完整框架，旨在减缓全球气候变化对森林生态系统韧性与生产力的负面影响，并助力森林生态系统适应此类变化。本数据集关联的研究，探究了2018年泛欧干旱对捷克典型高原与山地森林碳交换动态的影响，研究样地包含2处针叶林分（比利克里日（Bílý Kříž）与拉耶茨（Rajec）的挪威云杉（Norway spruce）林）以及1处落叶林分（什蒂特纳（Štítná）的欧洲山毛榉（European beech）林）。研究结果显示，与气候条件正常的基准年相比，拉耶茨林分在干旱年的生态系统年净CO₂吸收量下降了50%。比利克里日林分受干旱影响较小，因其局地微气候保障了充足的水分供应。什蒂特纳的欧洲山毛榉林分对干旱及其负面影响的韧性最强，我们未观测到该林分在干旱年与基准年的碳交换动态存在显著差异。本研究结果可证明（原文未完结）