Nature versus nurture: Quantifying the effects of management, region, and hillslope position on soil health indicators in an on‐farm survey in Minnesota

Author:

Blair Hava K.12ORCID,Gutknecht Jessica L.1ORCID,Jelinski Nicolas Adam1ORCID,Lewandowski Ann Marcelle3ORCID,Fisher Beth A.4ORCID,Cates Anna M.1ORCID

Affiliation:

1. Department of Soil, Water, and Climate University of Minnesota‐Twin Cities Saint Paul Minnesota USA

2. Department of Soil Science University of Wisconsin–Madison Madison Wisconsin USA

3. Water Resources Center University of Minnesota Saint Paul Minnesota USA

4. Department of Biochemistry, Chemistry, and Geology Minnesota State University Mankato Minnesota USA

Abstract

AbstractA major challenge to implementing effective soil health assessments is how to distinguish the effects of management from underlying soil variability driven by inherent soil properties. This challenge has important consequences for the use of soil health indicators as tools for monitoring and assessment because soil‐forming factors constrain the range of indicator values and the magnitude of management‐induced changes. Here, we present results from a statewide survey of 15 soil health indicators measured on 30 fields on commercial farms across four major land resource areas in Minnesota. Fields included in the study differed in tillage, cover crop implementation, and crop rotation. Within each field, we collected samples from upper and lower hillslope positions to quantify the effect of topography. We consistently detected differences in soil health indicators between regions (13/15 indicators) and hillslope positions (8/15 indicators). However, only wet aggregate stability was sensitive to management across regions and years, highlighting the importance of physical indicators of soil health. This result was surprising in light of existing literature supporting the sensitivity of many soil health indicators to management, but it is consistent with other studies conducted in high organic matter soils in the Upper US Midwest. Our results highlight the need for regionally representative datasets to guide the development of interpretations and benchmarks for soil health indicators. This is particularly important when soil health indicators are applied outside traditional research contexts (such as in commercial soil health testing), where interpretation must take place without the benefit of historical baseline data.

Funder

Natural Resources Conservation Service

Publisher

Wiley

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