Soil Organic Carbon to Clay Ratio in Different Pedoclimatic and Agronomic Conditions in Northeastern North America: A New Approach Proposed DOI
Inderjot Chahal, Joseph P. Amsili, Daniel D. Saurette

et al.

Published: Jan. 1, 2024

Language: Английский

Pedotransfer Functions for Soil Protein Based on Random Forest Modeling for Routine Soil Health Analysis DOI Creative Commons
Joseph P. Amsili, Harold M. van Es,

Robert R. Schindelbeck

et al.

Communications in Soil Science and Plant Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: Jan. 18, 2025

Autoclaved-citrate extractable soil protein (ACE protein, hereafter referred as "soil protein") is a novel biological health indicator that can indirectly capture soil's capacity to supply nitrogen (N) but relatively expensive assess. To explore cost saving options, dataset of 4,171 samples with texture, total carbon (C) and N, carbon-to-nitrogen ratio (C/N), permanganate-oxidizable (POXC), pH, magnesium (Mg) iron (Fe), was used develop three pedotransfer functions for protein. These included full random forest (RF) model utilizing all variables, reduced RF multiple linear regression employing subset the variables. Models were validated using US North American Project Evaluate Soil Health Measurements contained 1,406 samples. The root mean square error (RMSE) by 41.7 53.4% compared models, respectively. Total C more important variable in than N. Additionally, POXC, sand, clay, Mg Fe found be model. sensitive management at 36 57 long-term experiments. able replicate 92% those significant effects on new function improve prediction traditional techniques reduce comprehensive assessment.

Language: Английский

Citations

1

SHAPEv1.0 Scoring curves and peer group benchmarks for dynamic soil health indicators DOI Creative Commons
Márcio Renato Nunes, Kristen S. Veum, Paul A. Parker

et al.

Soil Science Society of America Journal, Journal Year: 2024, Volume and Issue: 88(3), P. 858 - 875

Published: April 11, 2024

Abstract The soil health concept has evolved over the past several decades, recognizing that response of dynamic properties to management is dependent on site‐specific factors. Soil Health Assessment Protocol and Evaluation (SHAPE) tool provides scores benchmark values by forming peer groups based site‐specific, climate‐edaphic characteristics. Data for model development were compiled from Cornell Laboratory Kellogg Survey databases. SHAPEv1.0 interpretation curves produce between 0% 100% measured laboratory reflect quantile within a population conditional cumulative distribution function along with measures uncertainty. original SHAPE was developed organic carbon been expanded include two wet aggregate stability methods, permanganate oxidizable carbon, autoclaved citrate extractable protein, 4‐day microbial respiration. In addition, at user‐defined percentiles given group. difference actual value selected represents opportunity gap. Case studies in Missouri Texas show scoring are sensitive land‐use practices across multiple types provide regionally relevant key indicators.

Language: Английский

Citations

8

Pedotransfer Functions for Field Capacity, Permanent Wilting Point, and Available Water Capacity Based on Random Forest Models for Routine Soil Health Analysis DOI Creative Commons
Joseph P. Amsili, Harold M. van Es,

Robert R. Schindelbeck

et al.

Communications in Soil Science and Plant Analysis, Journal Year: 2024, Volume and Issue: 55(13), P. 1967 - 1984

Published: April 3, 2024

Available water capacity (AWC), field (θFC), and permanent wilting point (θPWP) are regarded as key physical soil health indicators that directly capture the soil's to store plant available but expensive components of a comprehensive analysis. To reduce costs, pedotransfer functions for θFC, θPWP, AWC were developed from dataset 7,232 samples with texture, organic matter (SOM), permanganate-oxidizable carbon, respiration, AWC, wet aggregate stability, extractable potassium, magnesium, iron, manganese. Three each property: full random forest (RF) model containing all variables, reduced RF multiple linear regression texture SOM. Pedotransfer validated an independent contained 1,406 samples. The models root mean square error (RMSE) by 16.3, 13.3, 12.8%, compared models, respectively. Furthermore, RMSE 11.6, 6.7, model, Permanganate-oxidizable iron useful novel predictor variables improving prediction θFC AWC. was sensitive in 20/57 long-term experiments, able replicate 5/20 those significant results. New can enhance traditional modeling techniques, fits into existing interpretative frameworks, improves cost-effectiveness assessments health.

Language: Английский

Citations

6

Soil‐profile fertility is altered by soil texture and land use across physiographic regions in the southeastern United States DOI Creative Commons
Alan J. Franzluebbers, Bhupinder S. Farmaha, Rodolfo Zentella

et al.

Agronomy Journal, Journal Year: 2025, Volume and Issue: 117(2)

Published: March 1, 2025

Abstract Soil fertility is often considered solely a function of soil chemical properties but should also encompass aspects physical and biological processes. Statistical distributions are not readily available within the southeastern United States could help target management interventions common land uses. We determined characteristics at 0‐ to 10‐cm, 10‐ 30‐cm, 30‐ 60‐cm depths across combination 56 research stations private farms ( n = 614 profiles) in coastal, piedmont, mountain physiographic regions North Carolina Virginia. The inherent characteristic sand concentration varied greatly among was key determinant characteristics, such as cation exchange capacity, pH, base saturation. However, factor use highly influential for many properties. On average, under no‐till compared with conventional‐till cropland had 15% greater 27% Mehlich‐3‐extractable Ca, 68% stability index, 63% soil‐test activity 10‐cm depth. There were fewer differences deeper profile. grassland 39 ± 6% extractable potassium (K) throughout profile 22% activity, 8% lower bulk density chemical, physical, diversity textural conditions uses offered first step toward regional assessments that be associated nutrient sufficiency levels targeted interventions.

Language: Английский

Citations

0

Spatially explicit heteroskedastic modeling for the Soil Health Assessment Protocol and Evaluation version 1.0S DOI Creative Commons
Kristen S. Veum, Paul A. Parker, Scott H. Holan

et al.

Soil Science Society of America Journal, Journal Year: 2025, Volume and Issue: 89(3)

Published: May 1, 2025

Abstract Greater awareness of the role soil management in achieving global production goals and mitigating emerging environmental challenges has focused spotlight on health assessment interpretation. The site‐specific characteristics long been recognized through small‐scale experimental studies, protocol evaluation (SHAPE) tool was developed to facilitate cross‐site comparisons provide regionally relevant interpretation by accounting for factors. Specifically, SHAPE version 1.0 account primary climate‐edaphic factors including long‐term climate means (temperature precipitation) edaphic (soil texture suborder). Version 1.0S further incorporates a spatially explicit, heteroskedastic approach into Bayesian linear regression model refine peer‐group scoring curves benchmark values based proximity. This captures regional variability improves relevance interpretability scores values.

Language: Английский

Citations

0

Cropping system is a key determinant of soil health after accounting for environmental and edaphic variability DOI Creative Commons

Franky Celestin,

Gabriel Maltais‐Landry, José Carlos Batista Dubeux

et al.

Geoderma, Journal Year: 2025, Volume and Issue: 458, P. 117330 - 117330

Published: May 10, 2025

Language: Английский

Citations

0

A systematic benchmarking framework for future assessments of soil health: An example from Denmark DOI

Sebastián Gutiérrez,

Mogens H. Greve, Anders Bjørn Møller

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121882 - 121882

Published: July 17, 2024

Language: Английский

Citations

3

Understory shrub root systems and their exudates improve soil biochemistry in pine stands in temperate climate DOI Creative Commons
Jarosław Lasota,

Marzena Kaźmierczak,

Ewa Błońska

et al.

Rhizosphere, Journal Year: 2024, Volume and Issue: 29, P. 100868 - 100868

Published: Feb. 15, 2024

The aim of our research was to determine how the addition selected shrub species in single-species pine stands affects soil properties. We assumed that shrubs through roots and their exudates have a significant impact on physicochemical biological properties soils. In research, we took into account four study plots variants: stand, stand with an admixture rowan, alder buckthorn European hazelnut. focused determining role root systems shaping determined morphological features roots, increment as well analyzed amount carbon released exudates. used extracellular intracellular enzyme activity microbial biomass assess biochemical status soil. Our indicates enzymatic tested Multiple regression analysis importance increase, SRA number tips activity. At same time strong correlations were noted between enzymes hazelnut secreted most C regardless sampling date. Shrubs monocultures create fertile islands, by more favourable properties, which is consequently important for health. results indicate can be valuable element forest ecosystem, has positive effect consequence may improve stability stands.

Language: Английский

Citations

1

Towards a unified approach to prioritization of regenerative agricultural practices across cropping systems DOI Creative Commons
Shai Sela, Achim Dobermann, Carlos Eduardo Pellegrino Cerri

et al.

npj Sustainable Agriculture, Journal Year: 2024, Volume and Issue: 2(1)

Published: Nov. 8, 2024

Abstract Prioritizing field practices according to their contribution regenerative efforts, in a structured and standardized manner, can enable efficient resource allocation higher adoption rates. However, it is remarkably hampered by the diversity of production environments respective best management practices. This paper proposes prioritizing using multicriteria assessment method informed expert knowledge. To develop it, we mined synthesized knowledge from eleven experts for three diverse cropping systems, showing that prioritization varies greatly across environments. By integrating approach with multi-indicator sustainability framework, demonstrate how practice weights be used monitor efforts outcomes thirty vineyard farms Maharashtra, India. The suggested standardize importance different systems adopted sustainable sourcing schemes agro-food industry.

Language: Английский

Citations

1

Systematic Framework for a Spatial Assessment of Soil Health: An Example from Denmark DOI

Joan Gutierrez,

Mogens H. Greve, Anders Bjørn Møller

et al.

Published: Jan. 1, 2024

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Language: Английский

Citations

0