Think outside the plots: Perimeter measurements and spatial modeling mitigate confounding in a 145‐year experiment

Abstract Long‐term experiments (LTEs) offer unique insights into the effects of agricultural practices on soil organic carbon (SOC). However, early LTEs commonly lack treatment randomization, replication, and initial measurements of SOC. This creates a potential problem of unmeasured confounding. We address this problem using the Morrow Plots (established 1876) as a case study. We start with a standard mixed effects model of SOC and add (i) a spatial kriging component and (ii) SOC measurements in the sod perimeter of the experiment as an additional treatment level. We find that much of the observed SOC variation between treatments after 145 years is not due to treatments but other factors (e.g. initial SOC), attenuating treatment effects by about 50%. Our study demonstrates that creative measurement and innovative modeling can mitigate some deficiencies in early LTEs. However, our improved estimates still have limited precision, suggesting the importance of careful design and measurement in the first place.

Authors

Institutions

Publication Details

Journal
Agricultural & Environmental Letters
Published
2025-05-19
DOI
https://doi.org/10.1002/ael2.70020
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Think outside the plots: Perimeter measurements and spatial modeling mitigate confounding in a 145‐year experiment

Yuhei Nakayama, Andrew J. Margenot, Gloriana González, Michael Douglass et al.
Agricultural & Environmental Letters
Spatial and Panel Data Analysis
article

Think outside the plots: Perimeter measurements and spatial modeling mitigate confounding in a 145‐year experiment

Yuhei Nakayama, Andrew J. Margenot, Gloriana González, Michael Douglass, Eric Potash
article en

Abstract

Abstract Long‐term experiments (LTEs) offer unique insights into the effects of agricultural practices on soil organic carbon (SOC). However, early LTEs commonly lack treatment randomization, replication, and initial measurements of SOC. This creates a potential problem of unmeasured confounding. We address this problem using the Morrow Plots (established 1876) as a case study. We start with a standard mixed effects model of SOC and add (i) a spatial kriging component and (ii) SOC measurements in the sod perimeter of the experiment as an additional treatment level. We find that much of the observed SOC variation between treatments after 145 years is not due to treatments but other factors (e.g. initial SOC), attenuating treatment effects by about 50%. Our study demonstrates that creative measurement and innovative modeling can mitigate some deficiencies in early LTEs. However, our improved estimates still have limited precision, suggesting the importance of careful design and measurement in the first place.

Agricultural & Environmental LettersVol. 10(1)
Illinois Department of Natural Resources (US), University of Illinois Urbana-Champaign (US)
National Science Foundation, Illinois Soybean Association, National Institute of Food and Agriculture
Openalex Percentile: Top 84%
Spatial and Panel Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.