Assessment of soil health and remediation in coastal palm oil plantations of Sabah, Malaysia
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.
- 1.1Introduction
- 2.
- 1.2Background of the Study
- 3.
- 1.3Statement of the Problem
- 4.
- 1.4Aim and Objectives of the Study
- 5.
- 1.5Research Questions
- 6.
- 1.6Research Hypotheses
- 7.
- 1.7Significance of the Study
- 8.
- 1.8Scope and Delimitation of the Study
- 9.
- 1.9Limitations of the Study
- 10.
- 1.10Organisation of the Study
- 11.
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 1.
- 2.1Conceptual Review: Soil Health in Tropical Agroecosystems
- 2.
- 2.2Conceptual Review: Remediation Approaches in Palm Oil Agroforestry Systems
- 3.
- 2.3Theoretical Framework: Soil-health Ontologies and Systemic Resilience
- 4.
- 2.4Theoretical Framework: Sustainable Land Management and Ecological Thresholds
- 5.
- 2.5Empirical Review: Soil Physical Properties in Coastal Palm Plantations
- 6.
- 2.6Empirical Review: Soil Chemical Impacts of Tidal Influence in Sabah
- 7.
- 2.7Empirical Review: Microbial Community Dynamics under Palm Oil Cultivation
- 8.
- 2.8Empirical Review: Remediation Techniques in Degraded Tropical Soils
- 9.
- 2.9Anthropogenic Pressures in Sabah Coastal Soils
- 10.
- 2.10Climate Variability and Soil Health Interactions
- 11.
- 2.11Policy and Management Practices Affecting Soil Health
- 12.
- 2.12Identified Gaps in the Literature
- 13.
- 2.13Conceptual Model or Summary of Review
Chapter THREE
RESEARCH METHODOLOGY
- 1.
- 3.1Research Design: Case-Study Framework in Sabah Palm Oil Plantations
- 2.
- 3.2Philosophical Paradigm: Pragmatism for Mixed-Methods Inquiry
- 3.
- 3.3Population of the Study: Coastal Palm Oil Estates in Sabah
- 4.
- 3.4Sample Size and Sampling Technique: Multistage Sampling of Plots and Soils
- 5.
- 3.5Sources and Instruments of Data Collection: Soil Sampling Protocols and Questionnaire Tools
- 6.
- 3.6Validation and Reliability of Instruments: Pilot Studies and Cronbach’s Alpha
- 7.
- 3.7Data Collection Procedures: Field Measurements and Laboratory Analyses
- 8.
- 3.8Variables and Measurements: Soil Health Indicators and Remediation Metrics
- 9.
- 3.9Data Analysis Methods: Descriptive, Inferential, and Multivariate Approaches
- 10.
- 3.10Model Specification or Analytical Framework: Structural Equation Modelling and Spatial Analysis
- 11.
- 3.11Ethical Considerations in Field Experiments and Data Handling
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 1.
- 4.1Data Presentation: Descriptive Profiles of Sabah Coastal Soils
- 2.
- 4.2Descriptive Analysis of Soil Physical Properties
- 3.
- 4.3Descriptive Analysis of Soil Chemical Properties and Nutrient Stocks
- 4.
- 4.4Descriptive Analysis of Microbial Biomarkers and Diversity Indices
- 5.
- 4.5Spatial Distribution of Soil Health Indicators
- 6.
- 4.6Hypotheses Testing: Soil Bulk Density and Porosity Relationships
- 7.
- 4.7Hypotheses Testing: Nutrient Availability and pH Interactions
- 8.
- 4.8Interpretation of Results and Alignment with Literature
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 1.
- 5.1Summary of Key Findings
- 2.
- 5.2Conclusion: Implications for Soil Health and Remediation in Sabah Plantations
- 3.
- 5.3Contribution to Knowledge: Theory, Methodology, and Practice
- 4.
- 5.4Recommendations for Plantation Management and Policy
- 5.
- 5.5Suggestions for Further Research
Thesis Abstract
Coastal palm oil plantations in Sabah, Malaysia, face progressive soil degradation driven by nutrient imbalances, salinization, acidification, and compaction, threatening long-term productivity and coastal ecosystem services. This study addresses the need to assess soil health status and identify effective remediation strategies tailored to tropical oil palm systems in littoral environments. The aim is to evaluate spatial and temporal patterns of soil health indicators and to develop an evidence-based remediation framework that integrates agronomic, ecological, and socioeconomic considerations for sustainable plantation management. Specific objectives are (1) to characterize baseline soil physico-chemical properties (pH, electrical conductivity, texture, bulk density, soil organic matter, total nitrogen, available phosphorus, exchangeable potassium, cations exchange capacity) across 60 representative plots in three coastal districts; (2) to assess soil biological health via microbial biomass carbon,-respiration, soil enzyme activities (dehydrogenase, urease, phosphatase) and nematode community structure; (3) to quantify heavy metal and trace element concentrations (e.g., cadmium, lead, arsenic) and their correlations with management history; (4) to evaluate remediation options, including organic amendments, cover crops, and reduced-tillage practices, through a randomized complete block design on 18 demonstration plots over two growing seasons; (5) to model drivers of soil health using multiple regression and structural equation modeling within the framework of the Soil Health Theory and the Ecosystem Services concept; and (6) to translate findings into a practical remediation framework for Sabah’s coastal oil palm operations. A mixed-methods approach will be employed. Quantitative data will be collected through soil sampling at 0–20 cm, 20–40 cm, and 40–60 cm depths, with triplicate samples per plot, analyzed using standard soil analytical methods (pH in water and KCl, EC, particle size analysis, Walkley-Black organic carbon, Kjeldahl nitrogen, Olsen phosphorus, exchangeable bases, CEC). Microbial analyses will include substrate-induced respiration, microbial biomass carbon via chloroform fumigation-extraction, and phospholipid fatty acid (PLFA) profiling. Enzyme assays will target dehydrogenase, urease, and acid and alkaline phosphatase activities. Heavy metals will be determined by inductively coupled plasma mass spectrometry (ICP-MS) following acid digestion. Plant- and management-related data will be collected through farmer surveys and field records to contextualize results. Data will be analyzed using ANOVA to compare treatment effects, followed by Tukey’s HSD for post hoc comparisons. Regression analyses will identify key predictors of soil health indicators, while structural equation modeling will test hypothesized pathways linking management practices, soil properties, microbial activity, and ecosystem services. Temporal trends will be examined using repeated-measures analyses across seasons. A GIS-based spatial analysis will map soil health gradients and remediation potential across the landscape. Expected findings include (i) quantification of the extent of soil acidification, salinity, and organic matter decline in degraded zones; (ii) identification of microbial and enzymatic bottlenecks limiting nutrient cycling; (iii) evidence on the effectiveness of organic amendments (e.g., palm oil mill effluent compost, biochar, green manure) and cover crops in restoring soil structure, fertility, and biological activity; (iv) elucidation of risk factors associated with heavy metal accumulation and their management implications; and (v) a transfer-ready remediation framework outlining recommended amendment rates, rotation schemes, and monitoring indicators tailored to Sabah’s coastal conditions. The study contributes to knowledge by integrating soil physicochemical, biological, and ecological service perspectives within a tropical plantation context, offering empirical guidance for remediation strategies that reconcile productivity with environmental stewardship. The anticipated conclusion emphasizes the feasibility of low-cost, farmer-acceptable remediation practices that improve soil health indicators, reduce environmental risk, and enhance resilience to climate variability. Recommendations include policy support for routine soil health monitoring, adoption of organic amendments and cover cropping in coastal palm oil systems, capacity-building programs for plantation managers, and the development of Sabah-specific soil health thresholds to guide management decisions.
Thesis Overview
This research investigates the health of soils and how to remediate them in coastal palm oil plantations located in Sabah, Malaysia. It addresses growing concerns about soil degradation from long-term monoculture, fertilizer and agrochemical use, erosion, salinity intrusion, and changes in soil biological activity that can reduce productivity and ecosystem services. The study aims to understand current soil health status, identify key drivers of degradation, and test remediation options that are feasible for large-scale commercial plantations while protecting coastal ecosystems.
The problem it tackles is the lack of integrated, location-specific knowledge on soil health indicators and effective remediation strategies for Sabah’s coastal oil palm systems. Existing literature tends to focus on general tropical soils or inland plantations, with limited attention to coastal contexts where factors like salinity, wind-blown sand, and shoreline dynamics interact with soil properties and plantation management.
What the researcher will do, step by step:
- Design a field study across multiple coastal palm oil estates in Sabah to capture variation in soil types, management practices, and disturbance history.
- Collect soil samples from multiple horizons at each site (e.g., 0–15 cm, 15–30 cm, 30–60 cm) and at representative plots within each estate, aiming for a total sample of around 200–300 soil cores.
- Measure physical and chemical soil health indicators in the laboratory, including texture, bulk density, organic carbon, pH, electrical conductivity (salinity proxy), cation exchange capacity, available phosphorus, micronutrients, soil respiration, and microbial biomass.
- Assess biological indicators such as earthworm abundance and soil enzyme activities (e.g., dehydrogenase, urease) to gauge functional soil health.
- Gather management data (fertilizer types and rates, slurry use, tillage, cover cropping, erosion control practices) and watershed-level data (proximity to coast, rainfall, salinity exposure).
- Analyze data with descriptive statistics, ANOVA or mixed models to identify factors influencing soil health indicators, and regression analyses to link management practices with soil outcomes.
- Explore remediation options by comparing remediation treatments (e.g., organic matter additions, reduced chemical inputs, mulching, contouring) in pilot subplots where feasible.
The expected contribution includes a context-specific framework for soil health assessment in Sabah’s coastal oil palm systems and evidence-based remediation strategies that improve soil quality, productivity, and coastal ecosystem resilience. The study should inform plantation managers and policymakers about practical interventions and guidelines for sustainable soil management in coastal tropical agroecosystems.