https://doi.org/10.5061/dryad.mcvdnck9d

Description of the data and file structure

The dataset comprises all data used for:

i) the extraction of yearly forest disturbance metrics (event areas, inter-year distances, intra-year distances, event intensity, and event frequency) from bark beetle disturbance polygons

ii) the modelling of spatial point processes at regional and landscape scale (landscape polygon examples 1-2-3)

iii) the retrieval of disturbance regime parameters from bark beetle disturbance polygons

iv) the calculation of disturbance-induced biomass loss from the ESA CCI biomass product (User guide: https://climate.esa.int/media/documents/D4.3_CCI_PUG_V4.0_20230605.pdf) and spatially explicit disturbance vectors (bark beetle disturbance polygons)

v) the cartographic representations of the study area and bark beetle-induced forest disturbances

The forest disturbance dataset is based on in-situ observations and was collected by the Forestry Department of the Province of Bozen-Bolzano between 2020 and 2023.

Data are stored in data.zip

Files and variables

file formats:

.shp: spatial polygons

.shx, .dbf, .prj: associated attributes of the .shp spatial polygons

.tif: rasters

coordinate reference system (CRS):

EPSG:32632 - WGS 84 / UTM zone 32N

file names:

• bb_2020.shp: bark beetle disturbance polygons year 2020
• bb_2021.shp: bark beetle disturbance polygons year 2021
• bb_2022.shp: bark beetle disturbance polygons year 2022
• 2023_unito.shp: bark beetle disturbance polygons year 2023
• bb_complete2.shp: bark beetle disturbance polygons of all years
• Land_polygon_2.shp: regional extent polygon
• example.shp: landscape polygon example 1 extracted within the regional boundaries
• example_21.shp: landscape polygon example 2 extracted within the regional boundaries
• example_3.shp and example3.shp: landscape polygon example 3 extracted within the regional boundaries
• forest_types_polygon.shp: regional forest cover polygon
• spruce_mask_province.shp: regional Norway spruce cover polygon
• masked_province.tif: ESA CCI biomass product masked by regional boundaries
• biomass_sd.tif: uncertainty related to ESA CCI biomass product

Code/software

Language and environment:

• bark_beetle_disturbance_metrics_regional_south_tyrol.R: This script analyzes bark beetle disturbance data (2020–2023) in South Tyrol using spatial point pattern and raster methods. It calculates event frequency, size, intensity, distances (intra- and inter-year), clustering metrics, and fits spatial point process models to assess deviation from random (Poisson) patterns. Finally, it estimates affected forest biomass and carbon loss by combining disturbance polygons with ESA CCI biomass rasters.
• R Environment for Statistical Computing

Version:

R 4.2.2

Dependencies

library(sf)

library(onpoint)

library(spatstat)

library(raster)

library(tidyverse)

library(purrr)

library(dplyr)

library(sf)

library(stars)

library(raster)

library(terra)

library(exactextractr)

library(spatstat.explore)

library(ggplot2)

library(sf)

library(viridis)

library(nngeo)

library(dispfit)

library(plotrix)

library(ggpubr)

library(rnaturalearth)

library(rnaturalearthhires)

library(elevatr)