Risk of drought damage in Swedish forests

The dataset compiled here was used in a study whose objective was to estimate the drought vulnerability for the dominant boreal tree species (Norway spruce, Scots pine, and birch) using the extensive tree-ring network and tree, stand, and site information from the Swedish National Forest Inventory (NFI). The observed climate data used in the modeling process were obtained from the Swedish Meteorological and Hydrological Institute (SMHI). We used tree-ring data from Swedish NFI temporary plots, with cores that were taken between 2010 and 2018, for further analysis. The risk of drought damage was calculated based on the number of years with exceptionally low tree growth because of drought during 1960–2010. We found the most important predictors of forest drought vulnerability and how the risk of drought damage will evolve in space and time due to climate change for the studied species. For more detailed information, please see the reference: Aldea, J. et al., 2023. Current and future drought vulnerability for three dominant boreal tree species. Global Change Biology. DATA & FILE OVERVIEW 'DB_model': stand, tree and site information collected by temporal inventories from the Swedish NFI, used for modelling approach. 'DB_sampled': stand, tree and site information collected by temporal inventories from the Swedish NFI, used for computing spatial predictions. 'TRW': Tree ring width data from the Swedish NFI temporary plots. 'climate': Gridded Precipitation and Temperature Data from SMHI Future climate projections according to different gas-emission scenarios from SMHI 'Aldea_R_script': Main R-scripts used in the modelling process本数据集配套的研究旨在依托瑞典国家森林清查（Swedish National Forest Inventory, NFI）提供的海量树木年轮网络、林木、林分及立地信息，估算北欧三大优势树种（挪威云杉、欧洲赤松与桦木）的干旱脆弱性。建模所用实测气候数据取自瑞典气象水文研究所（Swedish Meteorological and Hydrological Institute, SMHI）。本研究采用瑞典NFI临时样地于2010至2018年采集的树木年轮数据开展后续分析。干旱损伤风险基于1960至2010年间因干旱导致树木生长异常偏低的年份数量计算得出。本研究明确了森林干旱脆弱性的关键预测因子，并揭示了研究树种的干旱损伤风险如何随气候变化在空间与时间维度上发生演变。如需获取更详细信息，请参阅参考文献：Aldea, J. 等, 2023. 《三种北欧优势树种当前与未来的干旱脆弱性》. 《全球变化生物学》(Global Change Biology)。 数据与文件概览 'DB_model'：瑞典NFI通过时间序列清查采集的林分、林木及立地信息，用于建模分析。 'DB_sampled'：瑞典NFI通过时间序列清查采集的林分、林木及立地信息，用于计算空间预测结果。 'TRW'：瑞典NFI临时样地的树木年轮宽度数据。 'climate'：瑞典气象水文研究所（SMHI）提供的网格化降水与气温数据，以及基于不同温室气体排放情景的未来气候预测数据。 'Aldea_R_script'：本研究建模流程中使用的核心R语言脚本。