Location: Food Systems Research Unit
Publications
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Uncovering genetic linkages in the rhizosphere contributing to adaptation
- (Pre-print Publication)
Williams, J.L., Killian, E.Z., Halpin-Mccormick, A., Kantar, M.B., Sherman, J.D., Ewing, P.M., Eberly, J.O., Lachowiec, J. 2024. Uncovering genetic linkages in the rhizosphere contributing to adaptation. bioRxiv. https://doi.org/10.1101/2024.11.21.624704.
Sterile sentinels and MinION sequencing capture active soil microbial communities that differentiate crop rotations
- (Peer Reviewed Journal)
Erlandson, S.R., Ewing, P.M., Osborne, S.L., Lehman, R.M. 2024. Sterile sentinels and MinION sequencing capture active soil microbial communities that differentiate crop rotations. Environmental Microbiome. 19(1):1-15. https://doi.org/10.1186/s40793-024-00571-8.
Regional self-reliance model of the New England food system
- (Database / Dataset)
Peters, C.J., Barley, L., Donahue, B., Mccarthy, A., Stoll, J. 2024. Regional self-reliance model of the New England food system. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/25234099.v1.
Real-time geoinformation systems to improve the quality, scalability, and cost of Internet of Things for agri-environment research
- (Pre-print Publication)
Runck, B.C., Schultz, B., Bishop, J., Carlson, N., Chantigian, B., Deters, G., Erdmann, J., Ewing, P.M., Felzan, M., Fu, X. 2024. Real-time geoinformation systems to improve the quality, scalability, and cost of Internet of Things for agri-environment research. ArXiv. 10.48550/arXiv.2403.19477.
Dataset accompanying: Diversified grain rotations can be highly and reliably productive in unstable climates
- (Database / Dataset)
Ewing, P.M., Chim, B.K., Lehman, R.M., Osborne, S.L. 2024. Dataset accompanying: Diversified grain rotations can be highly and reliably productive in unstable climates. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/25383307.
Diversified grain rotations can be highly and reliably productive in unstable climates
- (Peer Reviewed Journal)
Ewing, P.M., Chim, B.K., Lehman, R.M., Osborne, S.L. 2024. Diversified grain rotations can be highly and reliably productive in unstable climates. Field Crops Research. https://doi.org/10.1016/j.fcr.2024.109361.
Surmounting the tradeoff between productivity and weather resilience in diversified grain rotations
- (Pre-print Publication)
Ewing, P.M., Chim, B.K., Lehman, R.M., Osborne, S.L. 2023. Surmounting the tradeoff between productivity and weather resilience in diversified grain rotations. AgriRXiv. https://doi.org/10.31220/agriRxiv.2023.00202.
Stakeholder integration predicts better outcomes from groundwater sustainability policy
- (Peer Reviewed Journal)
Hammond Wagner, C.R., Perrone, D., Rohde, M., Anderson, R., Arthur, S., Atume, N., Brown, M., Esaki-Kua, L., Gonzalez, M., Garvey, K., Heidel, K., Jones, W.D., Khosrowshahi Asl, S., Munill, C., Nelson, R., Ortiz-Partida, J., Remson, E.J. 2023. Stakeholder integration predicts better outcomes from groundwater sustainability policy. Nature Communications. https://doi.org/10.1038/s41467-023-39363-y.
Capacity for National and Regional Self-Reliance in Fruit and Vegetable Production in the United States
- (Peer Reviewed Journal)
A geospatial approach to identifying biophysically suitable areas for fruit and vegetable production in the United States
- (Peer Reviewed Journal)
McCarthy, A., Srinivasan, S., Griffin, T., Peters, C.J. 2022. A geospatial approach to identifying biophysically suitable areas for fruit and vegetable production in the United States. Agronomy Journal. https://doi.org/10.1002/agj2.21138.
Regional variability in land and water use in fruit and vegetable production in the U.S.
- (Peer Reviewed Journal)
McCarthy, A., Griffin, T., Srinivasan, S., Peters, C.J. 2021. Regional variability in land and water use in fruit and vegetable production in the U.S. Urban Agriculture and Regional Food Systems. https://doi.org/10.1002/uar2.20020.
Towards a holistic understanding of food systems
- (Book / Chapter)
Peters, C.J. and Thilmany, D.D. 2022. Towards a holistic understanding of food systems. In: Peters, C.J., Thilmany, D.D., editors. Food Systems Modeling: Tools for Assessing Sustainability in Food and Agriculture. Cambridge, MA: Academic Press. p. 349-358. https://doi.org/10.1016/B978-0-12-822112-9.00016-3.