{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Christopher Clark", "hasEmail": "mailto:clark.christopher@epa.gov"}, "describedBy": "https://pasteur.epa.gov/uploads/10.23719/1500027/documents/Data_Dictionary.xlsx", "describedByType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "description": "A tree database representing a single cohort of trees was assembled using\ndata from U.S Forest Service monitoring plots. Applying existing species specific\nresponse relationships from Thomas et al. (2010), we simulated\nhow forest stands in a 19-state study area would change (biomass and stem density) from 2005 to 2100 under 12 different future N deposition \u2013 climate scenarios based on historic levels, current policy and potential futures. \n\nThis dataset is associated with the following publication:\nvan 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).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500027/forest_comp_2005-2100_county.csv", "mediaType": "application/vnd.ms-excel", "title": "forest_comp_2005-2100_county.csv"}], "identifier": "https://doi.org/10.23719/1500027", "keyword": ["atmospheric deposition", "climate change", "nitrogen deposition", "ecosystem services", "forest", "Northeast U.S."], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2017-10-26", "programCode": ["020:094"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1002/ecm.1345"], "rights": null, "title": "Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis in "}