This dataset provides time series of tree ring N isotopes for individual trees and corresponding time series of temperature, precipitation, atmospheric N deposition, atmospheric S deposition, and disturbance in two temperate forests located in the eastern United States. This dataset is associated with the following publication: Sabo, R., A. Elmore, D. Nelson, C. Clark, T. Fisher, and K. Eshleman. Positive correlation between wood δ 15N and stream nitrate concentrations in two temperate deciduous forests. Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 2(2): 1-17, (2020).

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).

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).

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 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 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 dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Global Forest Change 2000-2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, representing loss detected primarily in the year 2000-2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Global Forest Change 2000-2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, representing loss detected primarily in the year 2000-2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.