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.

This data package is not the most recent revision of a series.  (View Newest Revision)

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  • Aboveground Net Primary Productivity across inter-annual precipitation variability treatments at a grassland site in the Jornada Basin, 2009-2014
  • Sala, Osvaldo; Arizona State University
    Gherardi, Laureano; Arizona State University
  • 2019-12-20
  • Sala, O. and L. Gherardi. 2019. Aboveground Net Primary Productivity across inter-annual precipitation variability treatments at a grassland site in the Jornada Basin, 2009-2014 ver 3. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • This ongoing dataset contains annual aboveground net primary productivity (ANPP) data from a study at the Jornada Experimental Range (JER) in southern New Mexico. The study was designed to assess the effect of interannual variability in precipitation on average aboveground net primary productivity (ANPP) in Chihuahuan Desert grasslands. The study began in 2009, has five precipitation treatments (see Methods) and contains 50 plots (10 per treatment). This data package contains 6-year (2009 to 2014) means of ANPP per plot. Annual and more recent data are available and will be released pending an upcoming publication.

  • N: 32.7494871      S: 32.47317259      E: -106.6927163      W: -106.8728831
  • 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
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