The Scientific Method in Environmental Science: How It Works

Environmental science relies on a structured approach to answer questions about the natural world and human impacts upon it. The scientific method provides that structure, guiding researchers from initial observation through hypothesis testing to evidence-based conclusions. This article explains how the scientific method operates within environmental research, using water quality assessment as a practical case study, and provides a step-by-step checklist for designing your own environmental science experiment.

At a Glance: The Scientific Method in Environmental Science

The scientific method in environmental science follows a logical sequence that transforms observations into tested knowledge. Unlike casual observation, this approach demands systematic data collection, controlled comparisons, and transparent reporting. The table below summarizes the core stages and their practical applications in environmental research.

The scientific method helps environmental scientists test cause-and-effect relationships, evaluate the effectiveness of interventions, and distinguish natural variation from human-caused change. The U.S. Bureau of Labor Statistics describes life, physical, and social science occupations as fields where workers conduct research and analyze data to solve problems, which reflects the central role of systematic inquiry in environmental careers (Life, Physical, and Social Science Occupations).

The Core Principles of Environmental Science Inquiry

Environmental science presents unique challenges for the scientific method because it studies complex, open systems where variables interact in ways that laboratory sciences can control more easily. Understanding these principles helps researchers design studies that produce reliable results despite these complications.

Systematic Observation and Question Formulation

The scientific method begins with careful observation of environmental phenomena. A researcher might notice that a particular stretch of river supports fewer aquatic insects than upstream areas, or that certain plant species thrive only on specific soil types. These observations generate questions about underlying causes and mechanisms.

The scientific method is a procedure scientists use to test generalizations and hypotheses through observation and experiment activities to obtain proven theories (Pre-service science teachers' understanding of scientific method for studying local environmental issues). Most information in earth science is discovered through scientific inquiry, making the method essential for understanding environmental systems.

Hypothesis Development

A hypothesis translates a question into a testable prediction. Good environmental hypotheses specify the variables involved, the expected relationship between them, and the conditions under which the prediction should hold. For example, a hypothesis might state that increasing phosphate concentration in stream water leads to increased algal biomass, with the prediction tested by comparing algal growth across sites with different phosphate levels.

The Role of Social Context in Environmental Research

Environmental science operates within social, economic, and political contexts that shape research questions and the interpretation of evidence. Philosophers of science and scientists have become increasingly aware of how scientific knowledge is shaped by its social context, which calls into question traditional notions of objectivity (Objectivity and ethics in environmental health science). Working scientists need an understanding of their own practice that avoids the naive myth that science can become objective by avoiding social influences while also avoiding the reductionist view that its content is determined simply by economic interests.

This awareness matters for environmental research because findings often have direct implications for regulation, legal responsibility, and social justice. Researchers studying pollution impacts, for example, must recognize how their assumptions about biological mechanisms or their choice of study design can affect conclusions and subsequent policy decisions.

The Practical Workflow: A Step-by-Step Checklist

Designing an environmental science experiment requires careful planning before any samples are collected. The following checklist guides researchers through the essential decisions that determine whether a study will produce trustworthy results.

Step 1: Define the Research Question

State the question precisely and narrowly. A question such as "Is the river polluted?" is too broad for scientific testing. A better question specifies the pollutant, the location, and the comparison: "Does nitrate concentration in Mill Creek exceed background levels at sites downstream from agricultural land use?"

Step 2: Conduct Background Research

Review existing literature to understand what is already known about the system. This step prevents unnecessary duplication and helps identify appropriate methods. The National Center for Biotechnology Information provides access to scientific literature across environmental science disciplines (NCBI Literature Resources), and PubMed indexes peer-reviewed research articles in environmental health and related fields (PubMed).

Step 3: Formulate a Testable Hypothesis

Write a clear prediction that can be supported or refuted by data. Include the expected direction of the relationship where possible. A hypothesis that states "nitrate concentrations increase with the proportion of agricultural land in the watershed" is testable, while "the river is unhealthy" is not.

Step 4: Identify Variables

Distinguish among the independent variable you manipulate or categorize, the dependent variable you measure, and the confounding variables you must control or account for. In a water quality study, land use type might be the independent variable, nitrate concentration the dependent variable, and rainfall, temperature, and sampling depth potential confounding variables.

Step 5: Design the Sampling Plan

Determine the number and location of sampling sites, the frequency of sampling, and the number of replicate samples needed. Environmental systems vary naturally, so adequate replication is essential for distinguishing real effects from random variation. The sampling plan should include reference sites that represent background conditions.

Step 6: Select Measurement Methods

Choose analytical methods appropriate for the target analytes and the expected concentration ranges. Document the methods precisely so that other researchers can replicate the work. Consistency in sampling and data reporting is essential for expanding knowledge about environmental media (Road sediment, an underutilized material in environmental science research).

Step 7: Collect Data Systematically

Follow the sampling plan consistently, recording all relevant field conditions. Maintain chain-of-custody documentation for samples that will be analyzed in laboratories. Field notes should capture observations that might explain unexpected results.

Step 8: Analyze Data

Use appropriate statistical methods to summarize the data and test the hypothesis. The analysis should account for the structure of the data, including any spatial or temporal correlations. Meta-analysis represents one approach for synthesizing results across multiple studies, helping to establish evidence-based practice and resolve seemingly contradictory research outcomes (Meta-analysis and the science of research synthesis).

Step 9: Draw Conclusions and Report

Interpret the results in light of the hypothesis and the limitations of the study design. Report both positive and negative findings, and describe the conditions under which the conclusions apply. Transparent reporting allows other researchers to evaluate the strength of the evidence.

Case Study: Water Quality Assessment

A water quality assessment provides a concrete example of how the scientific method operates in environmental research. Consider a study designed to determine whether agricultural runoff affects nitrate levels in a local stream.

Observation and Question

Local residents report that the stream has become greener in recent years and that fish populations have declined. A researcher observes dense algal mats in the stream during summer months. The research question becomes: Does nitrate concentration in the stream exceed levels associated with healthy aquatic ecosystems, and does it vary with distance from agricultural fields?

Hypothesis and Predictions

The hypothesis states that nitrate concentrations are elevated in stream segments adjacent to agricultural land compared with segments flowing through forested areas. The prediction follows that nitrate levels will decrease with increasing distance downstream from field drainage outlets.

Study Design

The researcher selects five sampling sites: one upstream reference site in a forested area, three sites adjacent to agricultural fields, and one site downstream where the stream enters a wetland. Water samples are collected weekly for three months during the growing season. Each sample is analyzed for nitrate concentration using a standardized laboratory method. Field measurements include water temperature, pH, and flow rate at each sampling event.

Data Collection and Analysis

The researcher records nitrate concentrations for each site and sampling date. Statistical analysis compares mean nitrate concentrations among sites while accounting for flow variation. The analysis reveals that nitrate concentrations are significantly higher at agricultural sites than at the reference site, and concentrations decline progressively downstream.

Interpretation and Limitations

The results support the hypothesis that agricultural runoff contributes nitrate to the stream. However, the study cannot establish causation definitively because it is observational instead of experimental. Other factors, such as septic system discharge or natural soil chemistry, might contribute to the observed pattern. The researcher notes these limitations and recommends follow-up studies that measure additional potential sources.

Management Application

The findings provide evidence for local watershed managers considering riparian buffer installation or fertilizer management programs. The study demonstrates how the scientific method generates actionable information while acknowledging the uncertainty inherent in environmental systems.

Options and Tradeoffs in Environmental Study Design

Environmental researchers choose among several study designs, each with distinct strengths and limitations. The selection depends on the research question, the scale of the system, ethical constraints, and available resources.

Observational Studies versus Controlled Experiments

Observational studies examine systems as they exist without manipulating variables. These studies are often the only option for large-scale or long-term environmental questions, such as the effects of climate change on species distributions. Controlled experiments manipulate one or more variables while holding others constant, providing stronger evidence for causation but often at smaller scales or under artificial conditions.

Field Studies versus Laboratory Studies

Field studies capture the complexity of real environmental systems but face challenges from uncontrolled variables and logistical constraints. Laboratory studies offer greater control but may not represent field conditions accurately. Many environmental research programs combine both approaches, using laboratory experiments to isolate mechanisms and field studies to verify that those mechanisms operate in natural settings.

Citizen Science Participation

Citizen science engages non-professional participants in data collection to advance scientific research, an approach increasingly applied in environmental and ecological sciences (Citizen science in environmental and ecological sciences). Contributory citizen science involves participants contributing data to projects designed and managed by professional researchers. This approach can expand the geographic scope of data collection and engage communities in environmental monitoring.

The potential impacts of citizen science initiatives are increasing across the globe, though in an imbalanced manner, and there is a strong element of trial and error in most projects (Citizen science participation in research in the environmental sciences). Key factors related to project success include matches between project proponents and participants, project goals and local priorities, participant profiles and engagement, scientific methods, and funding.

Public interest in citizen science for environmental health is growing, and the goals of environmental health research projects are diverse, as are the methods used to reach those goals (Citizen science in environmental health research). Opportunities for greater involvement of civil society and related challenges differ at each step of such projects, and these methodological aspects need to be widely shared and understood by all stakeholders.

Modeling and Simulation Approaches

Environmental scientists increasingly use computational models to complement field and laboratory studies. Machine learning methods can help scientists generate hypotheses, design experiments, collect and interpret large datasets, and gain insights that might not have been possible using traditional scientific methods alone (Scientific discovery in the age of artificial intelligence). These approaches are particularly valuable for analyzing complex nonlinear relationships in environmental data.

Interpretable machine learning frameworks can predict environmental phenomena while providing explanations for their predictions. For example, the XGBoost-SHAP framework has been applied to predict pesticide behavior in acidic soils, capturing nonlinear responses under the coupling effect of multiple environmental factors while making the model's predictions interpretable in terms of environmental chemistry (Prediction and interpretation of pesticide behavior in acidic soil based on XGBoost-SHAP). Such approaches support pesticide registration risk assessment, contaminated site remediation strategies, and regional agricultural precision management.

Observations and Measurements in Environmental Research

Reliable environmental science depends on careful measurement and documentation. The specific measurements required depend on the research question, but several principles apply across environmental disciplines.

Field Observations

Field observations provide the foundation for environmental research. Researchers record visual observations of organisms, habitats, and environmental conditions, often using standardized protocols to ensure consistency across observers and time periods. Photographs and GPS coordinates document the spatial context of observations.

Physical and Chemical Measurements

Environmental research frequently involves measuring physical parameters such as temperature, flow rate, and turbidity, and chemical parameters such as nutrient concentrations, pH, and dissolved oxygen. Standardized analytical methods ensure that measurements are comparable across studies and laboratories.

Biological Measurements

Biological measurements assess the presence, abundance, and health of organisms. These measurements might include species counts, biomass estimates, or indicators of physiological stress. Bioassessment protocols use the composition of aquatic insect communities to evaluate stream health because different species have different tolerances to pollution.

Data Quality Assurance

Quality assurance procedures ensure that measurements are accurate and reliable. These procedures include calibration of instruments, analysis of certified reference materials, replicate sampling, and blind analysis of samples. The National Institutes of Health provides training resources for researchers on rigorous experimental design and data management (Office of Intramural Training and Education).

Records and Documentation Standards

Environmental research generates records that must be managed carefully to support scientific conclusions and meet regulatory requirements where applicable.

Field Notebooks

Field notebooks capture observations, measurements, and contextual information at the time of data collection. Entries should be legible, dated, and written in permanent ink. Corrections should be made with a single line through the error so the original entry remains readable.

Electronic Data Management

Many environmental studies now use electronic data capture systems that reduce transcription errors and facilitate data sharing. Data management plans should specify file formats, naming conventions, backup procedures, and access controls. The O*NET OnLine database describes the data analysis and documentation skills expected in science occupations (O*NET OnLine).

Sample Documentation

Environmental samples require documentation that establishes their identity, collection location, collection time, and handling history. Chain-of-custody forms track samples from collection through analysis, which is particularly important for studies that may inform regulatory actions or legal proceedings.

Metadata and Data Sharing

Metadata describe the content, context, and quality of datasets, enabling other researchers to understand and reuse the data. Many funding agencies and journals now require data sharing, and repositories provide infrastructure for preserving and disseminating environmental datasets.

Quality Controls and Verification

Quality controls protect the integrity of environmental research by detecting errors and preventing bias. These controls apply at every stage of the research process.

Instrument Calibration

Analytical instruments must be calibrated using standards of known concentration before sample analysis. Calibration verifies that instrument readings correspond accurately to actual concentrations and establishes the range over which measurements are reliable.

Replicate Analysis

Analyzing multiple portions of the same sample provides a measure of analytical precision. Replicate analyses that produce widely varying results indicate problems with the analytical method or sample handling.

Blank Samples

Blank samples contain no analyte and are processed through the same procedures as environmental samples. Blanks detect contamination introduced during sampling, transport, or analysis. Elevated blank values indicate that reported concentrations may overestimate actual environmental levels.

Reference Materials

Certified reference materials have known concentrations of target analytes established by an independent authority. Analyzing reference materials alongside environmental samples verifies that the analytical method produces accurate results.

Independent Verification

Peer review provides an external check on research quality. Manuscripts submitted for publication are reviewed by other scientists who evaluate the study design, analysis, and interpretation. The National Library of Medicine indexes peer-reviewed biomedical and environmental health literature, facilitating access to verified research findings (PubMed).

Common Failure Patterns in Environmental Studies

Environmental research projects can fail to produce reliable results for several recurring reasons. Recognizing these patterns helps researchers design studies that avoid them.

Inadequate Replication

Environmental systems vary naturally across space and time. Studies with too few samples cannot distinguish real effects from random variation, leading to false conclusions. Researchers should conduct power analyses before data collection to determine the sample size needed to detect meaningful effects.

Confounding Variables

Confounding variables are factors that vary with the independent variable and may actually cause the observed effect. In a study of agricultural runoff, for example, soil type might vary systematically with land use, making it difficult to determine whether land use or soil type drives nitrate levels. Careful study design and statistical control help address confounding.

Sampling Bias

Sampling bias occurs when the samples collected do not represent the population or system of interest. Sampling only during daylight hours, only at easily accessible sites, or only during favorable weather can produce misleading results. Random sampling and systematic sampling designs reduce bias.

Measurement Error

Measurement error can arise from instrument malfunction, operator inconsistency, or sample degradation. Standardized protocols, instrument calibration, and proper sample preservation minimize measurement error.

Overinterpretation of Results

Researchers may draw conclusions that exceed what the data actually support. Observational studies cannot establish causation, and results from one location or time period may not generalize to other contexts. Careful attention to study limitations prevents overinterpretation.

Poor Data Management

Lost records, transcription errors, and incompatible file formats compromise research quality and prevent verification. Implementing data management plans from the start of a project protects the investment in data collection.

Limitations of the Scientific Method in Environmental Science

The scientific method has inherent limitations that environmental researchers must acknowledge. Understanding these limitations helps researchers interpret results appropriately and communicate uncertainty to decision-makers.

Complexity and Nonlinearity

Environmental systems are complex and often exhibit nonlinear behavior, where small changes in one variable produce disproportionate effects. The science of suicide illustrates how low base rates, complexity and nonlinearity, low precision and accuracy of identification and detection methods, and variability across social and environmental contexts challenge scientific understanding (Innovations in the science of suicide). Similar challenges apply to many environmental phenomena.

Ethical Constraints

Some environmental questions cannot be addressed through controlled experiments because the manipulations would be unethical or impractical. Researchers cannot deliberately contaminate a watershed to study the effects of pollution, so they must rely on observational studies or natural experiments.

Temporal and Spatial Scale

Many environmental processes operate over temporal and spatial scales that exceed the duration and extent of typical research projects. Climate change impacts, for example, unfold over decades and across continents, requiring long-term monitoring programs and collaborative research networks.

Uncertainty and Variability

Environmental measurements always involve uncertainty from measurement error and natural variability. Statistical methods quantify this uncertainty, but they cannot eliminate it. Decision-makers must interpret research findings in light of the uncertainty associated with them.

Integration of Diverse Knowledge Types

Environmental science increasingly recognizes the value of integrating scientific knowledge with other forms of knowledge. The evolution of environmental science as a discipline reflects ongoing thinking about how scientific history shapes current practice (The Evolution and Thinking of Environmental Science in the Direction of Scientific History). Environmental education programs that bridge scientific context, reasoning, and behavior demonstrate how environmental principles manifest across different knowledge domains (Manifestations of environmental principles in bridging scientific context, reasoning and behaviour).

Safety and Regulatory Context

Environmental research operates within a framework of safety requirements and regulations that protect researchers, the public, and the environment.

Laboratory Safety

Researchers who analyze environmental samples in laboratories must follow safety protocols for handling chemicals, operating equipment, and managing waste. Material safety data sheets provide information about chemical hazards and required precautions.

Field Safety

Field research presents hazards including weather extremes, difficult terrain, water hazards, and encounters with wildlife. Researchers should conduct field work in teams where possible, carry communication devices, and follow institutional safety policies.

Environmental Regulations

Environmental research may require permits for sampling activities, particularly in protected areas or when collecting certain species. Researchers must comply with applicable environmental regulations and obtain necessary approvals before beginning field work.

Institutional Oversight

Research institutions provide oversight through institutional review boards, animal care committees, and biosafety committees. These bodies review research protocols to ensure they meet ethical and safety standards.

Professional Escalation Criteria

Researchers who observe conditions that pose immediate threats to public health or the environment should escalate their concerns to appropriate authorities. Signs that warrant escalation include:

• Contaminant concentrations that exceed regulatory standards for drinking water or other exposure pathways
• Evidence of ongoing illegal dumping or discharge
• Conditions that create imminent risk of harm to people or ecosystems
• Data that contradict official claims about environmental safety

The relationship between environmental science and legal proceedings is complex, and expert testimony must meet standards of scientific rigor (Contributions of Ethnography of Science to Judicial Assessment of Environmental Expert Testimony). Researchers who provide expert testimony should understand how scientific evidence is evaluated in legal contexts.

Professional Development and Career Context

Environmental science careers span government agencies, academic institutions, nonprofit organizations, and private industry. The U.S. Bureau of Labor Statistics provides information about employment outlook, wages, and educational requirements for life, physical, and social science occupations (Life, Physical, and Social Science Occupations). Related healthcare occupations also involve environmental health considerations (Healthcare Occupations).

The O*NET OnLine database provides detailed information about the knowledge, skills, and abilities required for environmental science occupations (O*NET OnLine). This information helps students and professionals plan their education and career development.

Training opportunities for research careers are available through programs such as those offered by the National Institutes of Health (Office of Intramural Training and Education). These programs develop skills in experimental design, data analysis, and scientific communication.

Educational Applications and Scientific Literacy

The scientific method is taught across educational levels, from primary school through graduate training. Environmental issues provide engaging contexts for developing scientific literacy because they connect abstract concepts to tangible local concerns.

Scientific Literacy Competencies

Scientific literacy encompasses several competencies, including explaining phenomena scientifically, constructing and evaluating designs for scientific inquiry, and researching, evaluating, and using scientific information (Measuring Scientific Literacy of Students' Through Environmental Issues Based on PISA 2025 Science Framework). Environmental issues offer rich material for developing each of these competencies.

Inquiry-Based Learning

Inquiry-based science learning approaches facilitate the development of scientific skills through research activities on surrounding science issues (The Influence of Inquiry-Based Science Issues Learning on Practical Skills of Junior High School Students in Environmental Pollution Topic). Students who engage in inquiry-based learning develop practical skills that transfer to environmental research contexts.

Socio-Scientific Issues in Education

Science textbooks based on socio-scientific issues for environmental pollution can increase student science literacy (Science textbook based on Socio-Scientific Issues (SSI) for environmental pollution to increase student science literacy in junior high school). These approaches connect scientific concepts to social debates about environmental policy.

Environmental Ethics Education

Environmental ethics awareness is a key component of sustainability education, and STEAM education is often promoted as a lever to foster values-based environmental learning (STEAM education and environmental ethics awareness among students aged 10-14 from an international perspective). Cross-national evidence shows that environmental ethics awareness among early adolescents is broadly high, but its emphasis and framing vary across educational and cultural contexts.

Teacher Preparation

Pre-service science teachers must understand the scientific method and its application in studying the local environment so that they can implement it in their teaching (Pre-service science teachers' understanding of scientific method for studying local environmental issues). Many prospective teachers have adequate understanding of the meaning and procedures of the scientific method but struggle to provide explicit examples of its application to local environmental problems.

Frequently Asked Questions

What is the scientific method in environmental science?

The scientific method in environmental science is a systematic procedure for testing hypotheses about environmental phenomena through observation and experiment. It involves making observations, formulating questions, developing testable hypotheses, collecting and analyzing data, and drawing conclusions. The method helps environmental scientists distinguish natural variation from human-caused change and evaluate the effectiveness of management interventions.

How does the scientific method help test environmental science questions?

The scientific method provides a structured framework for testing environmental questions by requiring clear hypotheses, systematic data collection, and rigorous analysis. It helps researchers identify cause-and-effect relationships, quantify uncertainty, and communicate findings in ways that other scientists can verify. The method also helps prevent bias by requiring transparent reporting of methods and results.

What are the main steps of the scientific method applied to environmental research?

The main steps are observation, question formulation, background research, hypothesis development, study design, data collection, data analysis, and conclusion. Environmental research adds considerations about sampling design, confounding variables, and ethical constraints that shape how each step is implemented.

Why is the scientific method important for studying environmental problems?

The scientific method is important because environmental problems are complex and often involve competing interests. Systematic inquiry provides evidence that can inform policy decisions, evaluate management actions, and identify effective solutions. Without the scientific method, conclusions about environmental issues would rest on anecdote and opinion instead of tested evidence.

What are the limitations of the scientific method in environmental science?

The scientific method faces limitations from the complexity and nonlinearity of environmental systems, ethical constraints on experimentation, and the large temporal and spatial scales of many environmental processes. Observational studies cannot establish causation as strongly as controlled experiments, and uncertainty is inherent in environmental measurements. Researchers must acknowledge these limitations when interpreting results.

How does citizen science fit into the scientific method?

Citizen science involves non-professional participants in data collection for scientific research. This approach can expand the geographic scope and temporal coverage of environmental monitoring while engaging communities in science. Citizen science projects must address data quality assurance, participant engagement, and ethical considerations to produce reliable results.

What role do models and artificial intelligence play in environmental science?

Models and artificial intelligence augment traditional scientific methods by helping researchers generate hypotheses, design experiments, collect and interpret large datasets, and gain insights that might not be possible using traditional methods alone. Machine learning approaches can capture complex nonlinear relationships in environmental data while providing interpretable explanations for their predictions.

How can students learn to apply the scientific method to environmental issues?

Students can learn the scientific method through inquiry-based learning approaches that engage them in research activities on local environmental issues. Environmental issues provide engaging contexts for developing scientific literacy because they connect abstract concepts to tangible local concerns. Teacher preparation programs should help prospective teachers apply the scientific method to local environmental problems.

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References and Further Reading

• Life, Physical, and Social Science Occupations. U.S. Bureau of Labor Statistics.
• Healthcare Occupations. U.S. Bureau of Labor Statistics.
• O*NET OnLine. U.S. Department of Labor.
• Office of Intramural Training and Education. National Institutes of Health.
• NCBI Literature Resources. National Center for Biotechnology Information.
• PubMed. National Library of Medicine.
• Scientific discovery in the age of artificial intelligence.. Nature, 2023.
• Meta-analysis and the science of research synthesis.. Nature, 2018.
• Innovations in the science of suicide.. Behaviour research and therapy, 2019.
• Food, nutrition, and fertility: from soil to fork.. The American journal of clinical nutrition, 2024.
• Objectivity and ethics in environmental health science.. Environmental health perspectives, 2003.
• Citizen science participation in research in the environmental sciences: key factors related to projects' success and longevity.. Anais da Academia Brasileira de Ciencias, 2017.
• Citizen science in environmental health research: A comparison with conventional approaches and creation of a guidance tool issued from the LILAS initiative.. Environmental research, 2024.
• Road sediment, an underutilized material in environmental science research: A review of perspectives on United States studies with international context.. Journal of hazardous materials, 2022.
• Editorial for the Special Issue "Gels for Removal and Adsorption (3rd Edition)".. 2026.
• Prediction and interpretation of pesticide behavior in acidic soil based on XGBoost-SHAP.. 2026.
• STEAM education and environmental ethics awareness among students aged 10-14 from an international perspective: a comparative analysis of cultural and educational philosophy factors.. 2026.
• Robust adaptive fault-tolerant learning control for human height-weight prediction based on DNN.. 2026.
• Diagrams-to-Dynamics (D2D): Exploring causal loop diagram leverage points under uncertainty.. 2026.
• Machine learning in mental health promotion for older adults: a scoping review.. 2026.
• Optimizing green-adaptive green infrastructure in response to extreme climate changes: insights from a hybrid SEM-ANN method.. 2026.
• Pre-service science teachers’ understanding of scientific method for studying local environmental issues. IOP Conference Series: Earth and Environment, 2020.
• Measuring Scientific Literacy of Students’ Through Environmental Issues Based on PISA 2025 Science Framework. Jurnal Penelitian Pendidikan IPA, 2025.
• Citizen science in environmental and ecological sciences. Nature Reviews Methods Primers, 2022.
• The Influence of Inquiry-Based Science Issues Learning on Practical Skills of Junior High School Students in Environmental Pollution Topic. Jurnal Pendidikan IPA Indonesia, 2018.
• The Evolution and Thinking of Environmental Science in the Direction of Scientific History. Iop Conference Series Materials Science and Engineering, 2020.
• Science textbook based on Socio-Scientific Issues (SSI) for environmental pollution to increase student science literacy in junior high school. Journal of Physics Conference Series, 2020.
• Contributions of Ethnography of Science to Judicial Assessment of Environmental Expert Testimony: Case Study from Risk Assessment in the Marine Environment. Anthropological Expertise and Legal Practice in Conversation, 2024.
• Manifestations of environmental principles in bridging scientific context, reasoning and behaviour: framework in the development of environmental education programmes in the Philippines. Australian Journal of Environmental Education, 2023.

This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.