Skip to content
Advances in Decision Sciences (ADS)

Advances in Decision Sciences (ADS)

Published by Scientific and Business World, Singapore

  • About This Journal
    • Aim and Scope
    • Abstracting and Indexing
    • Editorial Board
    • Editorial Workflow
    • Publication Ethics
    • Paper Submission
    • Manuscript Format
    • Manuscript FAQ
    • Subscription Information
  • Editors Menu
    • Editors’ Roles and Responsibilities
    • Handling a Manuscript
    • Peer Review at ADS
    • English Editing
  • Special Issues
    • About Special Issues
    • Editorial Board Special Issues
    • Preparing a Call for Papers
    • Promoting a Call for Papers
    • Special Invitation
    • Special Issues FAQ
    • Published Special Issues
  • Table of Contents
    • Table of Contents for Year 2025
    • Table of Contents for Year 2024
    • Table of Contents for Year 2023
    • Table of Contents for Year 2022
    • Table of Contents for Year 2021
    • Table of Contents for Year 2020
    • Table of Contents for Year 2019
    • Table of Contents for Year 2018
    • Archive Contents for Year 1997 to 2017
      • Table of Contents for Year 2017
      • Table of Contents for Year 2016
      • Table of Contents for Year 2015
      • Table of Contents for Year 2014
      • Table of Contents for Year 2013
      • Table of Contents for Year 2012
      • Table of Contents for Year 2011
      • Table of Contents for Year 2010
      • Table of Contents for Year 2009
      • Table of Contents for Year 2008
      • Table of Contents for Year 2007
      • Table of Contents for Year 2006
      • Table of Contents for Year 2005
      • Table of Contents for Year 2004
      • Table of Contents for Year 2003
      • Table of Contents for Year 2002
      • Table of Contents for Year 2001
      • Table of Contents for Year 2000
      • Table of Contents for Year 1999
      • Table of Contents for Year 1998
      • Table of Contents for Year 1997
  • Contact Us
  • Home

Data-Driven Decision Optimization of Humic and Fulvic Acid Treatments: Experimental Evidence on Enzyme Regulation and Nutrient Bioavailability in Calcareous Soils

Data-Driven Decision Optimization of Humic and Fulvic Acid Treatments: Experimental Evidence on Enzyme Regulation and Nutrient Bioavailability in Calcareous Soils

Title

Data-Driven Decision Optimization of Humic and Fulvic Acid Treatments: Experimental Evidence on Enzyme Regulation and Nutrient Bioavailability in Calcareous Soils

Authors

  • Qian Sun
    School of Industrial Technology, Universiti Sains Malaysia, Penang, Malaysia
  • Mohamad Anuar Kamaruddin
    School of Industrial Technology, Universiti Sains Malaysia, Penang, Malaysia
  • Kai Huang
    Institute of Facilities and Equipment in Agriculture, Jiangsu Academy of Agricultural Sciences, Nanjing, China
  • Yun Cao
    Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing, China
  • Jianlong Liu
    Institute of Facilities and Equipment in Agriculture, Jiangsu Academy of Agricultural Sciences, Nanjing, China

Abstract

[Purpose] This study explores the influence of humic and fulvic acids on soil enzymatic activities and nutrient bioavailability in calcareous soils, aiming to enhance understanding of their environmental roles in soil management and fertility.
[Design/methodology/approach] Four humic substances—fulvic acid (FA), OMRI, SP85, and HS—were applied at varying concentrations (0–1000 mg·kg⁻¹) to calcareous soils. Enzymatic activities (urease, phosphodiesterase, acid and alkaline phosphatase) and the bioavailability of key nutrients (P, K, NH₄⁺, Mg, Ca, Cu, Zn) were assessed after 40 and 70 days.
[Findings] Humic substances significantly affected soil enzymatic processes and nutrient availability. Urease activity was consistently inhibited, with the strongest effect observed under SP85. Phosphodiesterase and phosphatase activities were notably enhanced, especially under FA and HS treatments. Optimal phosphatase activity was observed at 800 mg·kg⁻¹, while excessive concentrations (e.g., 1000 mg·kg⁻¹ of SP85) led to decreased activity. HS treatment induced the greatest increase in phosphomonoesterase activity by day 70. Nutrient responses varied: OMRI improved P and Mg availability; HS increased K and Zn; FA promoted Cu. Calcium levels declined under all humic acid treatments. An application rate of 400 mg·kg⁻¹ was found to be optimal.
[Practical implications] Appropriate application of humic substances can improve soil biochemical health, supporting efficient nutrient management in high-pH soils.
[Originality/value] This study provides novel insights into the enzyme–nutrient interactions influenced by humic substances in calcareous soils. This study also contributes to Decision Sciences by providing a data-driven optimization framework for selecting the most effective type and concentration of humic substances to support evidence-based agricultural decision-making. This research is original in integrating soil biochemical experimentation with quantitative decision modeling, allowing readers to see how data-driven optimization links biological evidence with managerial decision-support. Academics may cite this paper for its methodological synthesis of experimental design and optimization analysis, while practitioners can adopt its findings to enhance real-world nutrient-management efficiency in calcareous soils.

Keywords

Humic acid, Fulvic acid, Soil enzyme, Nutrient bioavailability, Calcareous soil

Classification-JEL

Q15, Q24, Q53, O13, C93

Pages

158-187

How to Cite

Sun, Q., Anuar Kamaruddin, M., Huang, K., Cao, Y., & Liu, J. (2025). Data-Driven Decision Optimization of Humic and Fulvic Acid Treatments: Experimental Evidence on Enzyme Regulation and Nutrient Bioavailability in Calcareous Soils. Advances in Decision Sciences, 29(3), 158-187.

https://doi.org/10.47654/v29y2025i3p158-187

Post navigation

Previous PostData-Driven Decision Optimization of Humic and Fulvic Acid Treatments: Experimental Evidence on Enzyme Regulation and Nutrient Bioavailability in Calcareous Soils

Submit Paper

Register / Submit




Special Issue Information

About Special Issues

Categories

ISSN 2090-3359 (Print)
ISSN 2090-3367 (Online)

Scientific and Business World

Asia University, Taiwan

8.3
2024CiteScore
 
88th percentile
Powered by  Scopus
SCImago Journal & Country Rank
Q2 in Scopus
CiteScore 2024 = 8.3
CiteScoreTracker 2025 = 8.2
SNIP 2024 = 0.632
SJR Quartile = Q1
SJR 2024 = 0.814
H-Index = 18

Flag Counter
Since July 28, 2021

Powered by Headline WordPress Theme
Go to mobile version