Environmental Data Initiative logo
EDI Staging Environment

This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary    View Full Metadata

  • Rates and controls of nitrogen fixation in post-fire lodgepole pine forests, Greater Yellowstone Ecosystem, 2022
  • Heumann, Robert; Graduate Researcher; The University of Montana
  • 2024-12-05
  • Heumann, R. 2024. Rates and controls of nitrogen fixation in post-fire lodgepole pine forests, Greater Yellowstone Ecosystem, 2022 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-26).

  • This dataset contains all the contents needed to reproduce the calculations and analyses done in the original paper associated with this dataset (Heumann et al. 2025 Ecology). The primary method used in this study was the Acetylene Reduction Assay (ARA) which measures the rate at which acetylene is reduced to ethylene in nitrogen-fixing organisms as a proxy for nitrogen fixation activity. We measured acetylene reduction rates in multiple cryptic niches (i.e., lichen, moss, pine litter, dead wood and mineral soil) in 34-year-old lodgepole pine stands in the Greater Yellowstone Ecosystem to explore the rates, temporal patterns, and climate controls on cryptic N fixation. Thus the foundation of this dataset is ethylene production rate measurements. All the data tables in this dataset contain either measured ethylene production rates or estimates of N fixation scaled from those ethylene production rates. Included with this are various physical measurements (e.g. dry mass, moisture content, incubation temperatures) that we included in our analyses in order to either scale up rates of N fixation using biomass estimates from field sites or explore temperature and moisture relationships with nitrogen fixation activity under controlled conditions. Included with this dataset are three R studio scripts used to run the calculations and analyses reported in the manuscript publication from this study.

  • N: 44.992637      S: 43.998942      E: -109.991628      W: -111.061712
  • edi.1817.1  (Uploaded 2024-12-05)  
  • View Full Metadata (0 views)
  • View Quality Report
  • Data Entities:
    1. Seasonal ARA data (revised_2022_season_fluxes_05_24 )  (31.8 KiB; 0 downloads) 
    2. Moss and Lichen Cover Data (GYE22_UnderstoryMossLichen)  (243 B; 0 downloads) 
    3. Litter Mass Data (GYE 2022 Litter Mass)  (1.2 KiB; 0 downloads) 
    4. Coarse Woody Debris Biomass Data (GYE22_CoarseWoodyDebrisBiomass)  (137 B; 0 downloads) 
    5. Cleaned and Reduced ARA Temporal Data (c2h4_rates_6_2024)  (33.0 KiB; 0 downloads) 
    6. GeoMean R Ratio Fluxes (geomean_season_flux_calcs_6_2024)  (8.5 KiB; 0 downloads) 
    7. Minimum R Ratio Fluxes (high_end_season_flux_calcs_6_2024)  (8.6 KiB; 0 downloads) 
    8. Maximum R Ratio Fluxes (low_end_season_flux_calcs_6_2024)  (8.5 KiB; 0 downloads) 
    9. Climate Experiment ARA Data (final_clim_exp_fluxes)  (28.6 KiB; 0 downloads) 
    10. Initial N fixation rate calculations  (21.0 KiB; 0 downloads) 
    11. Field N fixation figures and statistical analyses  (13.0 KiB; 0 downloads) 
    12. Climate experiment calculations, figures and analysis  (15.2 KiB; 0 downloads) 
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
  • Analyze this data package using:           

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo