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

Data Package Summary    View Full Metadata

  • SRP01 Sequential prairie restoration experiment at Konza Prairie
  • Baer, Sara
    Manning, George
    Eckhoff, Katie
  • 2022-10-28
  • Baer, S., G. Manning, and K. Eckhoff. 2022. SRP01 Sequential prairie restoration experiment at Konza Prairie ver 3. Environmental Data Initiative. https://doi.org/10.6073/pasta/4e5864da4f6b28acb218b0c05d7bd1f7 (Accessed 2024-03-29).

  • Annual aboveground net primary productivity (ANPP) from the Sequential Prairie Restoration Experiment at the Konza Prairie Long-Term Ecological Research site in Manhattan, KS USA. The data (SRP011) include ANPP from the first three years of restoration in each of three restoration sequences initiated in different years. Data correspond to subplot and whole-plot analyses. The Sequential Prairie Restoration Experiment is a block design with 4 subplots (labeled A - D) within 4 main plots (numbered 1 - 4) sequentially replicated in three blocks (Sequences 1, 2 and 3), with the restoration in each block initiated in a different year (Sequence 1 initiated in 2010, Sequence 2 initiated in 2012, and Sequence 3 initiated in 2014). 'NO-COLL' indicates that variable was not measured, A period in the dataset indicates missing data. Plant species composition data include plant composition from the first two sequences (Sequence I restored in 2010 and Sequence II restored in 2012) in all years from 2010  to 2020 (SRP012); and from the first four sequences (I to IV restored every other year from 2010 to 2016) for the first five growing seasons in each sequence (SRP013).

  • N: 39.0833      S: 39.0833      E: -96.5833      W: -96.5833
  • Data Policies Data Use Agreements: The Intellectual Rights within the metadata associated with each KNZ data set determines the exact data and metadata use agreement between the data user and the KNZ LTER site. KNZ LTER data and metadata may be released under the license: CC BY - Attribution (https://creativecommons.org/licenses/by/4.0/). This license lets others distribute, remix, tweak, and build upon KNZ work (even commercially), as long as the KNZ program is credited for the original creation. Alternatively, some KNZ LTER data and metadata may be released into the public domain: CC0 - No Rights Reserved (https://creativecommons.org/share-your-work/public-domain/cc0/). CC0 states that data are placed in the public domain, so that others may freely build upon, enhance and reuse the works for any purposes without restriction under copyright or database law. In either case, users of KNZ data are referred to the following guidelines: "The consumer of these data ("Data User" herein) has an ethical obligation 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 coauthorship 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".
  • https://doi.org/10.6073/pasta/4e5864da4f6b28acb218b0c05d7bd1f7
  • Analyze this data package using:           
EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo