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

Data Package Summary    View Full Metadata

  • PBG03 Disk pasture meter measurements to estimate plant standing biomass in the Patch-Burn Grazing experiment at Konza Prairie
  • Joern, Anthony
  • 2017-08-16
  • Joern, A. 2017. PBG03 Disk pasture meter measurements to estimate plant standing biomass in the Patch-Burn Grazing experiment at Konza Prairie ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/f155a5bae39bb8b4ea4b19fadaddf898 (Accessed 2024-04-23).

  • ‘PBG’ datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This dataset includes both the annual calibration data for the disk pasture meter measurements (PBG031) and the actual disk pasture meter measurements in the PBG experiment (PBG032). Measurements were taken at a total of 64 transects (8 watersheds x 4 sites per watershed x 2 pasture meter transects per site). Each cattle-grazed watershed (designated as of May 2011 C3A, C3B, C3C, and C1A) and the four Shane cattle-grazed watersheds (C1B, C3SA, C3SB, and C3SC) includes 4 plant composition sampling transects (A-D). Pasture meter measurements were taken along two transects adjacent and parallel to the plant composition transects in each of these watersheds. Standing biomass samples for pasture meter calibration were also collected near the plant composition transects in the same 8 watersheds.

  • 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/f155a5bae39bb8b4ea4b19fadaddf898
  • Analyze this data package using:           

EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo