This dataset includes the estimated changes in selected ecosystem services associated with the changes in forest composition from the other dataset associated with this Research Effort. 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).

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

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 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 set provides the results of time-series analyses of Landsat imagery for 55 selected forested sites across the conterminous U.S.A. The output is a pair of disturbance data products for each site, one showing the first year of disturbance in the time series, the other showing the last year of disturbance. Each data pixel is labeled as either a static land class (persistent non-forest, persistent forest, or persistent water) or with the year of change for disturbed forest pixels. The time period analyzed is approximately 1984-2009.These forest disturbance data are distributed as a single band GeoTiff, with appropriate projection information defined within the file. The analyses were performed in three phases: 5 sites during the Prototype/Focal phase; 23 sites in Phase I; and 27 sites in Phase II. The spatial resolution of the Prototype/Focal and Phase I data is 28.5 meters. The spatial resolution of the Phase II data is 30 meters. The temporal resolution is nominally biennial. The mapped area for each forested site is approximately 185 km x 185 km. There are a total of 110 GeoTiff files â?? a first year and a last year of disturbance file for each of the 55 sites.

This data takes existing, pre-published (Wang et al. 2015) forest composition data and converts it to ozone precursor emission potential to understand the impact climate change will have on air quality through changes in forest composition.

This data takes existing, pre-published (Wang et al. 2015) forest composition data and converts it to ozone precursor emission potential to understand the impact climate change will have on air quality through changes in forest composition.