This document contains expanded tables from the report "Effects of Climate Change and Atmospheric Nitrogen Deposition on Forest Understory Vegetation Communities in Selected U.S. National Parks" by T.C. McDonnell, Brian Knees, Michael D. Bell, and Emmi Felker-Quinn that can be used to evaluate critical loads of individual map classes and herbaceous species found across parks.

A tree database representing a single cohort of trees was assembled using data from U.S Forest Service monitoring plots. Applying existing species specific response relationships from Thomas et al. (2010), we simulated how forest stands in a 19-state study area would change (biomass and stem density) from 2005 to 2100 under 12 different future N deposition – climate scenarios based on historic levels, current policy and potential futures. This dataset is associated with the following publication: van Houtven, G., J. Phelan, C. Clark, R. Sabo, J. Buckley, R.Q. Thomas, K. Horn, and S. LeDuc. Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis. ECOLOGICAL MONOGRAPHS. Ecological Society of America, Ithaca, NY, USA, 75, (2018).

This dataset is for the publication of Nitrogen and sulfur deposition reductions projected to partially restore forest soil conditions in the US Northeast, while understory composition continues to shift with future climate change. Manuscript is intended for the the journal of Water, Air, & Soil Pollution. This dataset is associated with the following publication: Leduc, S., C. Clark, J. Phelan, S. Belyazid, M. Bennett, K. Boaggio, J. Buckley, J. Cajka, and P. Jones. Nitrogen and Sulfur Deposition Reductions Projected to Partially Restore Forest Soil Conditions in the US Northeast, While Understory Composition Continues to Shift with Future Climate Change. WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 233(376): 1-26, (2022).

This dataset is for the publication of Nitrogen and sulfur deposition reductions projected to partially restore forest soil conditions in the US Northeast, while understory composition continues to shift with future climate change. Manuscript is intended for the the journal of Water, Air, & Soil Pollution. This dataset is associated with the following publication: Leduc, S., C. Clark, J. Phelan, S. Belyazid, M. Bennett, K. Boaggio, J. Buckley, J. Cajka, and P. Jones. Nitrogen and Sulfur Deposition Reductions Projected to Partially Restore Forest Soil Conditions in the US Northeast, While Understory Composition Continues to Shift with Future Climate Change. WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 233(376): 1-26, (2022).

This data is from Clark et al. (2023), "Future climate change effects on US forest composition may offset benefits of reduced atmospheric deposition of N and S." (https://onlinelibrary.wiley.com/doi/10.1111/gcb.16817). The dataset provides the decadal data (2010, 2020, etc., to 2100), for estimates of biomass and stem count, for each county (FIPS) in the lower 48 states, for the 94 tree species analyzed in Horn et al. (2018), separately for the 20 climate and atmospheric deposition scenarios examined in the Clark et al. manuscript. Summary tables and key supporting information are also provided. The data are too large to upload to Science Hub (>10 GB) and are instead available on the DataDryad here: https://datadryad.org/stash/dataset/doi:10.5061/dryad.tht76hf4f. This dataset is associated with the following publication: Clark, C., J. Phelan, J. Ash, J. Buckley, J. Cajka, K. Horn, R.Q. Thomas, and R.D. Sabo. Future climate change effects on U.S. forest composition may offset benefits of reduced atmospheric deposition of N and S. GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 29(17): 4793-4810, (2023).

This the dataset shows the plot-level contributions to dC/dN from Figure 2 in the paper. The data is in file "SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06" and the metadata is in file "SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06_column key." The data show, for all the FIA plots used in the analysis, the net dC/dN (the net change in aboveground live tree carbon with change in N deposition) based on both growth and/or survival equations multiplied by the TPH (trees per hectare). Various other identifying pieces of information are also provided (e.g., State, Ecoregion, etc.).

This the dataset shows the plot-level contributions to dC/dN from Figure 2 in the paper. The data is in file "SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06" and the metadata is in file "SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06_column key." The data show, for all the FIA plots used in the analysis, the net dC/dN (the net change in aboveground live tree carbon with change in N deposition) based on both growth and/or survival equations multiplied by the TPH (trees per hectare). Various other identifying pieces of information are also provided (e.g., State, Ecoregion, etc.).

This dataset has all the summary tables for the Figures and supplementary information in the Phelan et al. publication.

This data set contains atmospheric nitrogen deposition rates and herbaceous plant species richness values across sample sites in the USA, originally used for the publication by Simkin et al. (2016. Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States. Proceedings of the National Academy of Sciences of the United States of America 113: 4086-4091. A portion of this data set was used for example quantile regression analyses in the book chapter Cade (2017. Quantile regression applications in ecology and the environmental sciences. R. Koenker, et al., eds. Handbooks of Modern Statistical Methods: Handbook of Quantile Regression. Chapman & Hall/CRC. The data set contains the herbaceous species counts used as the response variable and the various environmental predictors, including nitrogen deposition rate, used in the statistical models.

This data set contains atmospheric nitrogen deposition rates and herbaceous plant species richness values across sample sites in the USA, originally used for the publication by Simkin et al. (2016. Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States. Proceedings of the National Academy of Sciences of the United States of America 113: 4086-4091. A portion of this data set was used for example quantile regression analyses in the book chapter Cade (2017. Quantile regression applications in ecology and the environmental sciences. R. Koenker, et al., eds. Handbooks of Modern Statistical Methods: Handbook of Quantile Regression. Chapman & Hall/CRC. The data set contains the herbaceous species counts used as the response variable and the various environmental predictors, including nitrogen deposition rate, used in the statistical models.