TY - JOUR
T1 - Rigorous, empirical, and quantitative
T2 - a proposed pipeline for soil health assessments
AU - Wade, Jordon
AU - Culman, Steve W.
AU - Gasch, Caley K.
AU - Lazcano, Cristina
AU - Maltais-Landry, Gabriel
AU - Margenot, Andrew J.
AU - Martin, Tvisha K.
AU - Potter, Teal S.
AU - Roper, Wayne R.
AU - Ruark, Matthew D.
AU - Sprunger, Christine D.
AU - Wallenstein, Matthew D.
N1 - Publisher Copyright:
© 2022
PY - 2022/7
Y1 - 2022/7
N2 - Soil health is a promising lens through which to approach land management, having the potential to serve as a descriptor of biophysical processes and as an effective communication tool across stakeholders. However, this potential has been largely unrealized due to difficulty in quantitatively assessing soil health and linking those assessments to outcomes. Here we discuss many multiple persistent obstacles to quantitative soil health assessment and outline a suite of analyses to help address those obstacles. Specifically, we propose a quantitative approach to developing and selecting soil health indicators that help connect management-induced changes in soil health to specific outcomes (e.g., yield or water quality). To demonstrate the utility of this approach, we perform a small case study using published data from North Carolina and New York cropping systems. Additionally, we outline how this approach is scalable and flexible enough to integrate future soil health metric development. The proposed approach stands to provide a quantitative, empirical basis for future measurement, assessment, and interpretation of soil health.
AB - Soil health is a promising lens through which to approach land management, having the potential to serve as a descriptor of biophysical processes and as an effective communication tool across stakeholders. However, this potential has been largely unrealized due to difficulty in quantitatively assessing soil health and linking those assessments to outcomes. Here we discuss many multiple persistent obstacles to quantitative soil health assessment and outline a suite of analyses to help address those obstacles. Specifically, we propose a quantitative approach to developing and selecting soil health indicators that help connect management-induced changes in soil health to specific outcomes (e.g., yield or water quality). To demonstrate the utility of this approach, we perform a small case study using published data from North Carolina and New York cropping systems. Additionally, we outline how this approach is scalable and flexible enough to integrate future soil health metric development. The proposed approach stands to provide a quantitative, empirical basis for future measurement, assessment, and interpretation of soil health.
KW - Latent variable analysis
KW - Soil health assessment
KW - Soil health indicator
KW - Soil quality
UR - http://www.scopus.com/inward/record.url?scp=85130133381&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130133381&partnerID=8YFLogxK
U2 - 10.1016/j.soilbio.2022.108710
DO - 10.1016/j.soilbio.2022.108710
M3 - Article
AN - SCOPUS:85130133381
SN - 0038-0717
VL - 170
JO - Soil Biology and Biochemistry
JF - Soil Biology and Biochemistry
M1 - 108710
ER -