Data and code from: Tree species distributions modify decadal trajectories of bird species habitat suitability predicted by climate change

Matthews, Stephen 1 ; Clipp, Hannah2; Peters, Matthew2; Gougherty, Andrew2

Published Sep 08, 2026; Updated Oct 07, 2026 on Dryad. https://doi.org/10.5061/dryad.cz8w9gjhc

Data files

Sep 08, 2026 version files 6.82 MB

Oct 07, 2026 version files 6.83 MB

Abstract

Data includes a csv with BBS bird species incidence records as well as the environmental predictors which includes climate, elevation and tree distribution data. These datasets have common identifier in the BBS route identification and environmental data are from 2 km buffer around the route. We also include an R script to generate randomForest models and predict novel habitat at decadal intervals. We also include in the script data summaries of projected change in the habitat for 100 bird species from our manuscript 'Future tree species distributions modify decadal trajectories of bird species habitat suitability predicted by climate change.'

Dataset DOI: 10.5061/dryad.cz8w9gjhc

Description of the data and file structure

Files and variables

File: data_file_bird_tree.zip

Description:

envirobuild.csv: climate, elevation and tree species data used as predictors in the models from our previous research. These are from Peters, Matthew P.; Iverson, Louis R.; Prasad, Anantha M.; Matthews, Stephen N. 2019. DISTRIB-II: habitat suitability of eastern United States trees. Fort Collins, CO: Forest Service Research Data Archive. Updated 01 November 2019. https://doi.org/10.2737/RDS-2019-0029.

Rows are BBS route ID from the 2 km buffer we applied

Column [1] is the route ID number

Columns [2:58] are predictors and defined in meta data of data source and in Table 1 of this Global Ecology and Conservation paper. Temperature variables January, July, Annual, Growing Season (May to September) in degrees C. Precipitation for annual and growing season (May to Sept) and annual potential evapotranspiration in mm. Topography variables in m. Frinaly tree species importance value (IV) as relative metric of number of stems and basal area. Species are identified by FIA codes.

enviro_had2010.csv to enviro_had2090.csv: Are also derived from Peters et al. 2019. For climate variables represent the corresponding decadal projections. For tree species they are the 30 yr lagged habitat suitability values. Data structure is the same as in envirobuild.csv.

enviro_had2010nofor.csv to enviro_had2090nofor.csv: Are also derived from Peters et al. 2019. For climate variables represent the corresponding decadal projections. For tree species they remain static to the 2000-2009 decade. Data structure is the same as in envirobuild.csv.

File: bird_tree_change.R

Description: R- script to run core analysis and data summaries used in the manuscript for all 107 species

File: bird_tree_change_pub.R

Description: R- script to run core analysis and data summaries used in the manuscript for all 107 species. This file added the information on line 107 into line 109 to properly run the model with only the tree species that overlapped the current birds distribution as was used in the final journal publication.

Code/software

R Core Team 2023. R: A Language and Environment for Statistical Computing. - R Foundation for Statistical Computing.

Access information

Data was derived from the following sources:

Sauer, J. R., D. K. Niven, J. E. Hines, D. J. Ziolkowski, Jr, K. L. Pardieck, J. E. Fallon, and W. A. Link. 2019. The North American Breeding Bird Survey, Results and Analysis 1966 - 2019. Version 2.07.2019 USGS Patuxent Wildlife Research Center, Laurel, MD. Raw Data for each state downloaded from https://www.pwrc.usgs.gov/bbs/rawdata/
Peters, Matthew P.; Iverson, Louis R.; Prasad, Anantha M.; Matthews, Stephen N. 2019. DISTRIB-II: habitat suitability of eastern United States trees. Fort Collins, CO: Forest Service Research Data Archive. Updated 01 November 2019. https://doi.org/10.2737/RDS-2019-0029