Risk of drought damage in Swedish forests
Authors/Creators
Description
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
Files
Aldea_R_script.txt
Files
(36.6 MB)
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Additional details
Related works
- Is part of
- Journal article: GCB-23-2025.R1 (Other)
Funding
- Swedish University of Agricultural Sciences
- Environmental Monitoring and Assessment program 2019-05-02/PO
- Swedish University of Agricultural Sciences
- Environmental Monitoring and Assessment program 2020-05-06/LG
- Ministerio de Ciencia, Innovación y Universidades
- MCIN/AEI/10.13039/501100011033 RYC2021-033031-I
Dates
- Submitted
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2023-11-21submission date