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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #396167
Research Project: Sustainable Intensification of Cropping Systems on Spatially Variable Landscapes and Soils

Location: Cropping Systems and Water Quality Research

Title: The Soil Health Assessment Protocol and Evaluation (SHAPE) version 2.0

Author
item Veum, Kristen
item HOLAN, SCOTT - University Of Missouri
item PARKER, PAUL - University Of California Santa Cruz
item NUNES, MARCIO - University Of Florida
item WILLS, SKYE - Natural Resources Conservation Service (NRCS, USDA)
item SEYBOLD, CATHY - Natural Resources Conservation Service (NRCS, USDA)
item AMSILI, JOSEPH - Cornell University
item VAN ES, HAROLD - Cornell University

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/12/2022
Publication Date: 11/6/2022
Citation: Veum, K.S., Holan, S.H., Parker, P.A., Nunes, M.R., Wills, S.A., Seybold, C.A., Amsili, J.P., Van Es, H.M. 2022. The Soil Health Assessment Protocol and Evaluation (SHAPE) version 2.0 [abstract]. 2022 ASA-CSSA-SSSA Annual Meeting, November 6-9, 2022. Baltimore, Maryland. Paper No. 145551

Interpretive Summary:

Technical Abstract: The response of dynamic soil properties to management and land use is dependent on site-specific factors. The Soil Health Assessment Protocol and Evaluation (SHAPE) was developed as a flexible tool that accounts for the interaction of inherent climate and edaphic factors when interpreting changes in dynamic soil health indicators based on a peer group approach. The Bayesian model-based SHAPE tool was initially developed for soil organic carbon and has been expanded to include permanganate oxidizable organic carbon, autoclaved citrate extractable protein, and four-day soil respiration. Data were compiled from the literature, the Cornell Soil Health Laboratory, and the Kellogg Soil Survey Laboratory. Version 2.0 improves upon the original SHAPE curves with spatially-explicit models. These new SHAPE scoring curves demonstrate sensitivity to management practices across multiple soil types and provide a regionally relevant interpretation of these key soil health indicators.