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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #389347
Research Project: Sustainable Intensification of Cropping Systems on Spatially Variable Landscapes and Soils

Location: Cropping Systems and Water Quality Research

Title: Connecting soil health and soil security: indicator spatial-temporal dynamics

Author
item CROOKSTON, BRADLEY - Utah State University
item YOST, MATTHEW - Utah State University
item Veum, Kristen

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 10/28/2021
Publication Date: 11/7/2021
Citation: Crookston, B., Yost, M.A., Veum, K.S. 2021. Connecting soil health and soil security: indicator spatial-temporal dynamics [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. 2021 ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT. https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/135224.

Interpretive Summary:

Technical Abstract: Soil security is a multifaceted framework that considers soil as an integral part of addressing societal concerns towards global environmental challenges. Soil health assessments are tools that can be used to integrate knowledge about soil sustainability. Appropriate interpretation of soil health assessments can contribute to soil security but requires robust databases of soil properties and their temporal and spatial variation across agricultural regions. This analysis explored field-scale spatial and temporal variation in 16 soil health indicators used in common soil health assessments at Soil Health Partnership locations throughout the Midwestern U.S. from 2014–2019. Relationships among management, environment, and measured soil properties were examined using various combinations of correlation, principal component analysis (PCA), and multiple regression. Specifically, variability was evaluated using 1) the temporal average of indicator lab test values, 2) the temporal and spatial coefficient of variation (CV), and 3) corn (Zea mays) and soybean (Glycine max) yield variation. These results will show that considering spatial and temporal variation may improve the connections between soil health assessment and soil security.