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Title: Biological indicators of soil health in organic cultivationAuthor
Fortuna, Ann Marie | |
BHOWMIK, ARNAB - Pennsylvania State University | |
BARY, ANDY - Washington State University | |
COGGER, CRAIG - Washington State University |
Submitted to: Managing Soil Health for Sustainable Agriculture, Volume 2
Publication Type: Book / Chapter Publication Acceptance Date: 7/19/2017 Publication Date: 8/6/2018 Citation: Fortuna, A., Bhowmik, A., Bary, A., Cogger, C. 2018. Biological indicators of soil health in organic cultivation. In: Reicosky, D. Managing Soil Health for Sustainable Agriculture. Volume 2: Monitoring and management. Cambridge, UK: Burleigh Dodds Science Publishing. p. 43-55. http://dx.doi.org/10.19103/AS.2017.0033.19. DOI: https://doi.org/10.1201/9781351114585 Interpretive Summary: This chapter reviews soil health indicators and analyses research conducted at the Long-Term, Organic Farming Systems Research and Demonstration Site at Washington State University Puyallup Research and Extension Center, Puyallup, WA, USA. An accompanying chapter in this book reviews some of the broader findings from the project. Our objectives address the adaption and evaluation of soil health indicators in organic agriculture systems and research to assess seasonal and long-term shifts resulting from best management practices, varying organic management and climate. Technical Abstract: Biological indicators of soil health have the potential to serve as metrics for comparison of a range of management practices that enhance pools of biologically available carbon and nitrogen. Despite the potential to use soil health as a dynamic measure there are few published studies that compare soil health across different organic management systems. Our objectives address the adaption and evaluation of soil health indicators in organic agriculture systems and research to assess seasonal and long-term shifts resulting from best management practices, varying organic management and climate. Current knowledge gaps relate to extreme climatic conditions and identification of best management practices for on-farm research. |