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  • Data to explore circular manureshed management in beef supply chains of the United States and western Canada
  • Spiegal, Sheri; Research Rangeland Management Specialist; USDA-ARS Jornada Experimental Range
    Vendramini, João M.B.; University of Florida
    Bittman, Shabtai; Agriculture and Agri-Food Canada
    Silveira, Maria; University of Florida
    Gifford, Craig; New Mexico State University
    Rotz, Clarence Al; USDA-ARS, Pasture Systems and Watershed Mgmnt
    Ragosta, John P; New Mexico State University
    Kleinman, Peter J.A.; USDA-ARS, Soil Mgmt and Sugar Beet Research Unit
  • 2022-01-24
  • Spiegal, S., J. Vendramini, S. Bittman, M. Silveira, C. Gifford, C. Rotz, J. Ragosta, and P. Kleinman. 2022. Data to explore circular manureshed management in beef supply chains of the United States and western Canada ver 7. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • Circular management of beef supply chains holds great promise for improving sustainability from grazing agroecosystem to dinner plate. In the United States and Canada, one approach to circularity entails transporting manure nutrients from cattle produced in feedlots back to the grazing agroecosystems where they originated to enrich haylands for further grazing cattle production. We provide data to assess this strategy centered around three grazing agroecosystems: Florida, New Mexico, and the provincial assemblage of Manitoba, Saskatchewan, Alberta, British Columbia. We describe four datasets that can be used to estimate the potential nutrient utilization of hay fed to grazing cattle in the three grazing agroecosystems and the magnitudes of feedlot manure nutrients available for transport back to them. We found that although biogeography and management differ among the three grazing agroecosystems, the hay allocated for grazing cattle represented approximately 65% of the total harvested hay produced per agroecosystem after accounting for harvest losses, and that on average all three areas exported about 450,000 cattle annually for feedlot, pasture, and slaughter to states across the US. Although we highlight only three grazingland settings, our approach relies on methods that could ultimately be scaled nationally and internationally, with applicability to other animal industries for which circular management is an aspiration for sustainability outcomes.

  • Geographic Coordinates
    • N: 31.000888, S: 24.523096, E: -80.031312, W: -87.634938
    • N: 37.000232, S: 31.332301, E: -103.001964, W: -109.05017
    • N: 60.127206, S: 49.132942, E: -88.297815, W: -138.955644
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  • Data Entities:
    1. Dataset 1: Hay intake by grazing cattle in three cattle origination areas  (1.1 KiB; 7 downloads) 
    2. Dataset 2: Nutrient removal by hay fed to grazing cattle in three cattle origination areas  (514 B; 7 downloads) 
    3. Dataset 3a: Cattle flows from the New Mexico cattle origination area to U.S. feedlots, 2014-2017  (357.7 KiB; 10 downloads) 
    4. Dataset 3b: Cattle flows from the Florida cattle origination area to U.S. feedlots, 2010 and 2019  (216.0 KiB; 9 downloads) 
    5. Dataset 3c: Cattle flows from the western Canada cattle origination area to U.S. feedlots, 2015-2019  (5.4 KiB; 6 downloads) 
    6. Dataset 4: Feedlot manure nutrients from cattle originating from the three cattle origination areas  (3.4 KiB; 8 downloads) 
    7. Primary data sources  (10.4 KiB; 5 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
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