Data on how regional climate affects habitat associations and thermal sums required for development of the Eurasian spruce bark beetle, Ips typographus

The data was collected for the publication "Regional climate affects habitat associations and thermal sums required for development of the Eurasian spruce bark beetle, Ips typographus". The data includes: 1) data of ambient and internal (under the bark) temperature, which was collected with two types of data-loggers. Based on that, microclimatic variables (mean, fluctuations, and thermal sums) were calculated. Thermal sums were calculated based on 5-degree and 8.3-degree models for each developmental stage as well as thermal sum reached in particular site and shade level; 2) data of habitat characteristics, including variables measured in the fiedl (like diameter, basal area and direction of the stand) as well as variables that were not directly measured (like canopy openness was analysed from fish eye lens pictures, or regional average temperature was calculated from the data of weather stations); 3) data about the dates colonisation and development of Ips tyopgraphus. These dates allowed to specify the time frame for calculating thermal sums for different development stages, thermal sums reached etc. The data was collected from April to September 2020 in 6 regions from southern to northern Sweden (ca 1300 km gradient). Each region consisted of 5 study sites, which were mature forest stands next to 1-2 years old clear-cut. The dataset includes variables that are related to a) identification of loggers and logs, b) location, c) measured/calculated habitat variables, d) binary variables for colonisation and development (life stages) experiments, e) dates of the beginning and the end of colonisation as well as development experiments, f) calculated thermal sums from the data of ambient and internal loggers. File "local_logger.csv" includes raw data collected with ambient data loggers (ambient air). The number in the first row identifies the ID number of ambient loggers. There are 3891 rows and 92 columns in the table. File "logger.csv" includes raw data collected from internal data loggers (under the bark). The number in the first row identifies the ID number of internal loggers. There are 3890 ros and 178 columns in the table. In the file "Ips_data.csv", the numbers of these loggers are in columns "local_logger" and "logger", repectively. There are 451 rows and 63 columns in the table.