Scolytinae/Platypodinae species species richness in 50 × 50 km grid cells across mainland USA with associated predictor variables
Data files
Jan 14, 2026 version files 602.94 KB
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README.md
4.51 KB
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scol_variables_2025.csv
528.77 KB
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SEM_modeling_invasive_total.R
69.66 KB
Abstract
A list of georeferenced Scolytinae and Platypodinae occurrence records in the USA was extracted from the Bark and Ambrosia Beetles of the Americas Database. In addition to geographical coordinates, each record included species, status of nativeness (native or non-native in the USA), principal host type (either conifer or angiosperm), and feeding guild (true bark beetles, ambrosia beetles, and “other”. The geographic coordinates of all occurrence records of individual Scolytinae/Platypodinae species were used to calculate species richness in 50 × 50 km grid cells (in cases of multiple records of the same species inside one grid cell, only one record was considered). The final data thus consisted of 3,376 cells. The dataset also includes values of environmental and socio-economic predictor variables: (i) average annual mean temperature [°C]; (ii) annual precipitation total [mm]; (iii) human population density [no. inhabitants per cell]; (iv) average income per capita ; (v) total length of roads [km]; (vi) total forest area [km^2^]; (vii) basal area of native angiosperms [m^2^]; (viii) basal area of non-native angiosperms [m^2^]; (ix) basal area of native conifers [m^2^]; (x) basal area of non-native conifers [m^2^]; (xi) number of native angiosperm species; (xii) number of non-native angiosperm species; (xiii) number of native conifer species; (xiv) number of non-native conifer species. Basal area and species richness (number of species) were derived from a raster database of the live tree species basal area interpolated for each species in the contiguous USA from forest inventory plt. Additionally, (xv) number of traps in a grid cell.
Dataset DOI: 10.5061/dryad.cjsxksnm8
Description of the data and file structure
File scol_variables_2025.csv:
Rows: each row represents 50 x 50 km grid cells across the mainland USA
Columns:
GRID_ID_50, ID of a GRID cell
long, longitude of the cell centroid
lat, longitude of the cell centroid
Invasive_total, total number of non-native Scolytinae/Platypodinae species in a grid a cell
Invasive_angio, number of non-native angiosperm feeding Scolytinae/Platypodinae species in a grid a cell
Invasive_conifers, number of non-native conifer feeding Scolytinae/Platypodinae species in a grid a cell
Invasive_ambrosia, number of non-native Scolytinae/Platypodinae ambrosia beetles species in a grid a cell
Invasive_bark, number of non-native Scolytinae/Platypodinae true bark beetles species in a grid a cell
v01_native_total, total number of native Scolytinae/Platypodinae species in a grid a cell
v02_native_angio, number of native angiosperm feeding Scolytinae/Platypodinae species in a grid a cell
v03_native_conifer, number of native conifer feeding Scolytinae/Platypodinae species in a grid a cell
v04_native_ambrosia, number of native Scolytinae/Platypodinae ambrosia beetles species in a grid a cell
v05_native_bark, number of native Scolytinae/Platypodinae true bark beetles species in a grid a cell
v06_AMT, average annual mean temperature [°C] in a grid a cell
v07_APT, annual precipitation total [mm] in a grid a cell
v08_population, human population density [no. inhabitants per cell]
v09_income, average income per capita in a grid a cell
v10_roads_km, total length of roads [km] in a grid a cell
v11_forest_total_30m, total forest area [km^2^] in a grid a cell
v12_Basal_Angio_FI_native, basal area of native angiosperms [m^2^] in a grid a cell
v13_Basal_Con_FI_native, basal area of native conifers [m^2^] in a grid a cell
v14_Basal_Angio_FI_invasive, basal area of non-native angiosperms [m^2^] in a grid a cell
v15_Basal_Con_FI_invasive, basal area of non-native conifers [m^2^] in a grid a cell
v16_Angio_N_species_FI_native, number of native angiosperm species [m^2^] in a grid a cell
v17_Con_N_species_FI_native, number of native conifer species [m^2^] in a grid a cell
v18_Angio_N_species_FI_invasive, number of non-native angiosperm species [m^2^] in a grid a cell
v19_Con_N_species_FI_invasive, number of non-native conifer species [m^2^] in a grid a cell
v20_N_traps, number of traps in a grid cell
File SEM_modeling_invasive_total.R contains a R code of spatial simultaneous autoregressive error models.
Code/software
The moran.test function from the spdep package (Bivand 2022) was used to check residuals for spatial autocorrelation. Using resultant correlograms, the errorsarlm function from the package spdep (Bivand 2022) was used to refit each model based on maximum likelihood estimation of spatial simultaneous autoregressive error models.
Access information
Data was derived from the following sources:
- Atkinson, T. H. 2024. Bark and ambrosia beetles of the Americas. – http://www.barkbeetles.info. (accessed 30 May 2024).
- CEC. 2010. Commission for Environmental Cooperation “North American Atlas–Roads”. – Natural Resources Canada, INEGI, USGS. Ed. 2.0, Vector digital data [1:10,000,000].
- Dewitz, J. 2023. National Land Cover Database (NLCD) 2021 Products. – U.S. Geological Survey data.
- Fick, S. E. and Hijmans, R. J. 2017. WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. – Int. J. Climatol. 37(12): 4302–4315.
- Rabaglia, R. J., Cognato, A. I., Hoebeke, E. R., Johnson, C. W., LaBonte, J. R., Carter, M. E. and Vlach, J. J. 2019. Early detection and rapid response: a 10-year summary of the USDA Forest Service program of surveillance for non-native bark and ambrosia beetles. – Am. Entomol. 65(1): 29–42.
- Schiavina, M., Freire, S. and MacManus, K. 2019. GHS-POP R2019A–GHS population grid multitemporal (1975–1990–2000–2015). – European Commission, Joint Research Centre (JRC) [Dataset].
- Wilson, B., Lister, A. and Riemann, R. 2012. A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data. – For. Ecol. Manage. 271: 182–198.