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Regional variation for tree critical loads across the U.S.
This dataset encompasses a re-analysis of data from Horn et al. (2018) to determine regional tree growth and survival response to nitrogen and sulfur deposition across the United States. Tree responses are matched with additional climate (temperature, precipitation), edaphic (soil pH), deposition (N and S deposition), and biotic covariates (tree deciduousness and mycorrhizal association). A full list of datasets and R code are available in Appendix S3 in the forthcoming peer-reviewed publication. Horn, Kevin J., et al. "Growth and survival relationships of 71 tree species with nitrogen and sulfur deposition across the conterminous US." PloS one 13.10 (2018): e0205296. For more information about the each file included, see "README_TreeCLA1_FFGC.pdf" in the supporting documents tab. A data dictionary is included with the each file as additional "README" or "meta" tabs in .xlsx documents and a forthcoming peer reviewed publication describes the methodologies. This dataset is associated with the following publication: Dalton, R.M., J.N. Miller, T. Greaver, R.D. Sabo, K.G. Austin, J.N. Phelan, R.Q. Thomas, and C.M. Clark. Regional variation in growth and survival responses to atmospheric nitrogen and sulfur deposition for 140 tree species across the United States. Frontiers in Forests and Global Change. Frontiers, Lausanne, SWITZERLAND, 7: 1426644, (2024).
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Changes in forest tree species composition for 2010-2100
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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).
Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis in
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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).
Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis in
공공데이터포털
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).
Dataset of effects from climate change on tree species in the U.S. (from "Winners and losers from climate change: An analysis of climate thresholds for tree growth and survival for roughly 150 species across the contiguous United States")
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This data is from the Global Change Biology publication by Clark et al., entitled "Winners and losers from climate change: An analysis of tree growth and survival responses to temperature and precipitation for roughly 150 species across the contiguous U.S." The dataset has all the inputs and outputs for the assessment of tree species responses to temperature and precipitation. There is a Readme file on Dryad that describes the 12 tabular data files associated with this manuscript. This dataset is associated with the following publication: Clark, C.M., J.G. Coughlin, J. Phelan, G. Martin, K. Austin, M. Salem, R.D. Sabo, K. Horn, R.Q. Thomas, and R.M. Dalton. Winners and Losers From Climate Change: An Analysis of Climate Thresholds for Tree Growth and Survival for Roughly 150 Species Across the Contiguous United States. GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 30(12): e17597, (2024).
Data for "The contribution of wildland fire emissions to nitrogen and sulfur deposition in the contiguous U.S.: Implications for tree growth and survival in the Northwest"
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Data files for Koplitz et al., "The contribution of wildland emissions to deposition in the U.S.: implications for tree growth and survival in the Northwest", Environmental Research Letters, in press, 2021, doi:10.1088/1748-9326/abd26e. This dataset is associated with the following publication: Koplitz, S., C. Nolte, R. Sabo, C. Clark, K. Horn, R.Q. Thomas, and T. Newcomer-Johnson. The contribution of wildland fire emissions to deposition in the U S: implications for tree growth and survival in the Northwest. Environmental Research Letters. IOP Publishing LIMITED, Bristol, UK, 16(2): 024028, (2021).
Data for "The contribution of wildland fire emissions to nitrogen and sulfur deposition in the contiguous U.S.: Implications for tree growth and survival in the Northwest"
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Data files for Koplitz et al., "The contribution of wildland emissions to deposition in the U.S.: implications for tree growth and survival in the Northwest", Environmental Research Letters, in press, 2021, doi:10.1088/1748-9326/abd26e. This dataset is associated with the following publication: Koplitz, S., C. Nolte, R. Sabo, C. Clark, K. Horn, R.Q. Thomas, and T. Newcomer-Johnson. The contribution of wildland fire emissions to deposition in the U S: implications for tree growth and survival in the Northwest. Environmental Research Letters. IOP Publishing LIMITED, Bristol, UK, 16(2): 024028, (2021).
Data for figures in Phelan et al. "Climate change could negate U.S. forest ecosystem service benefits gained through reductions in nitrogen and sulfur deposition"
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This dataset has all the summary tables for the Figures and supplementary information in the Phelan et al. publication.
Data from dC/dN paper: "Wide variation in U.S. aboveground tree carbon responses to nitrogen deposition and a weakening response since the 1980s-90s."
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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.).
Data from dC/dN paper: "Wide variation in U.S. aboveground tree carbon responses to nitrogen deposition and a weakening response since the 1980s-90s."
공공데이터포털
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.).
US-PROPS: Regional Application to Great Smoky Mountains National Park (McDonnell et al. 2022)
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This dataset is the data and metadata associated with the application of the US-PROPS model to the Great Smoky Mountains National Park (GSMNP). It is a geodatabase of species and vegetation classes across the GSMNP and describes the distribution of species, critical loads of different vegetation classes, and the changes in the occurrence probabilities for different scenarios explored. Users should start with the "Dataset_Descriptions.docx" file, and read McDonnell et al. (2022) for context (https://www.sciencedirect.com/science/article/pii/S2666765722001065). McDonnell, T.C., Clark, C.M., Reinds, G.J., Sullivan, T.J. and Knees, B., 2022. Modeled vegetation community trajectories: Effects from climate change, atmospheric nitrogen deposition, and soil acidification recovery. Environmental Advances, p.100271. This dataset is associated with the following publication: McDonnell, T., C. Clark, G. Reinds, T. Sullivan, and B. Knees. Modeled vegetation community trajectories: Effects from climate change, atmospheric nitrogen deposition, and soil acidification recovery. Environmental Advances. Elsevier B.V., Amsterdam, NETHERLANDS, 9: 1-13, (2022).
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