Unit 9: Environmental Mātauranga — Protecting Our Taiao

A 6-lesson NZ environmental science unit where students use mātauranga Māori and modern science to investigate local ecological action.

Science Mātauranga Māori Years 9–10 6 lessons

Unit 9: Environmental Mātauranga — Protecting Our Taiao

"How Do We Fix What's Broken in Our Environment?" — A 6-lesson journey where students use mātauranga Māori and modern science to take real action on local environmental problems.

📖 Unit Overview

"How Do We Fix What's Broken in Our Environment?"

Big Inquiry Question: Your local environment is facing real problems — pollution, declining biodiversity, climate impacts. How can you combine traditional Māori knowledge with modern science to create actual solutions that work?

This 6-lesson unit integrates traditional Māori ecological knowledge with modern environmental science, mathematics, and social studies. Students explore how whakapapa thinking connects to ecosystem relationships, investigate traditional environmental indicators alongside scientific data, and develop solutions that honour both knowledge systems.

Students will analyse environmental challenges through both mātauranga Māori and scientific lenses, use mathematical modelling to understand environmental patterns, and propose integrated solutions that respect cultural values while addressing contemporary environmental issues.

Year Levels: Years 9-10 (Phase 4)
Duration: 6 lessons
Learning Areas: Science, Mathematics, Social Studies, Mātauranga Māori

🌿 Dual Knowledge Systems

🔬
Scientific Investigation
Hands-on data collection and analysis using modern tools — water quality testing, biodiversity counts, climate data analysis.
🌺
Mātauranga Māori
Traditional ecological knowledge and tohu (environmental indicators) gathered through kaumātua interviews and community connection.
💧
Real-World Action
Students don't just study problems — they implement solutions at their school and present findings to a community audience.
🤝
Knowledge Integration
The unit's central challenge: how do we honour both knowledge systems when they point in different directions?

🎬 Context Video — To Be Sourced

A short contextual video (5–10 min) works well at the start of Lesson 1. Look for NZ-produced content on mātauranga Māori as environmental knowledge — Te Ara, RNZ, or DOC often have suitable short films. The discussion scaffolding below is ready to use once a video is sourced.

Before watching:
  • What environmental knowledge might your whānau or grandparents have?
  • How do you think traditional knowledge differs from scientific knowledge?
During:
  • Note examples of traditional environmental observations.
  • Listen for ways traditional and scientific knowledge work together.
After:
  • Think-Pair-Share: How might mātauranga Māori help solve modern environmental problems?
  • Connect to the Big Question: how do we bridge knowledge systems?

📅 Weekly Learning Sequence

🔍 Lesson 1: Environmental Detective

Focus: What environmental problems can we actually see, measure, and fix right here at school?

Students become environmental detectives, using systematic observation and traditional knowledge to identify real problems.

Lesson 2: Traditional Ecological Indicators — Nature's Measuring Tools

Focus Question: How did Māori traditionally monitor environmental health, and how do these methods compare with modern scientific monitoring?

Activities:

  • Create maramataka (lunar calendar) and identify traditional environmental indicators
  • Compare traditional bird behaviour observations with modern bird monitoring data
  • Mathematics: Analyse seasonal patterns using statistical measures (mean, median, range)
  • Science: Set up modern environmental monitoring (temperature, pH, dissolved oxygen)
  • Literacy: Document traditional indicators from community members

🎥 Video Resources

Maramataka - Māori Calendar

Search YouTube for: "maramataka Māori calendar" or "Māori lunar calendar explained"

Recommended: Dr. Rangi Mātāmua, Māori TV, or iwi-specific calendars

Traditional Environmental Indicators

Search YouTube for: "traditional environmental knowledge" or "indigenous environmental indicators"

Focus on practical examples of environmental monitoring

Modern Environmental Monitoring

Search YouTube for: "water quality testing methods" or "environmental monitoring techniques"

Compare with traditional methods covered in class

📄 Lesson 2 Handouts & Resources

Differentiation: Provide different complexity levels for statistical analysis. Use multimedia resources for different learning preferences.

Lesson 3: Climate Knowledge Integration — Ancient Wisdom Meets Modern Science

Focus Question: How can traditional Māori climate knowledge enhance our understanding of scientific climate data?

Activities:

  • Analyse long-term temperature and rainfall data for local area
  • Research traditional Māori weather prediction methods and their accuracy
  • Mathematics: Create climate graphs and calculate trends using linear regression
  • Science: Investigate greenhouse effect and climate change mechanisms
  • Compare traditional seasonal knowledge with modern climate models

🎥 Video Resources

Traditional Māori Weather Knowledge

Search YouTube for: "Māori weather prediction" or "traditional weather knowledge"

Look for indigenous weather forecasting methods and their scientific basis

Climate Change in New Zealand

Search YouTube for: "climate change New Zealand" or "NIWA climate science"

Recommended: NIWA, MfE, or university climate research

Indigenous Climate Adaptation

Search YouTube for: "indigenous climate adaptation" or "traditional ecological knowledge climate"

Global examples of traditional knowledge supporting climate adaptation

📄 Lesson 3 Handouts & Resources

Differentiation: Provide scaffolded graphing support. Allow choice in final presentation format (written, visual, or oral).

Lesson 4: Climate Data Analysis — Reading Nature's Warning Signs

Focus Question: What do real NIWA climate numbers tell us about environmental changes, and how did Māori traditionally track these same patterns?

Activities:

  • Data Analysis: Use the NIWA Climate Data Analysis Sheet to examine real 2024 rainfall and temperature data
  • Graph Creation: Create line graphs and bar charts showing temperature and rainfall trends using actual NIWA data
  • Traditional Knowledge Integration: Interview community members about traditional environmental indicators (birds, plants, weather patterns)
  • Statistical Analysis: Calculate percentiles, averages, and identify extreme weather events in the data
  • Pattern Recognition: Compare 2024 data with long-term averages to identify climate change impacts

🎥 Video Resources

Microplastics in New Zealand Waters

Search YouTube for: "microplastics New Zealand" or "plastic pollution NZ waters"

Recommended: NIWA research, university studies, or environmental NGOs

Traditional Water Quality Assessment

Search YouTube for: "traditional water quality Māori" or "indigenous water monitoring"

Focus on traditional indicators and cultural water values

Plastic Pollution Impact

Search YouTube for: "plastic pollution marine life" or "microplastics ecosystem impact"

Scientific evidence of pollution effects on ecosystems

📄 Lesson 4 Handouts & Resources

Differentiation: Ensure safe sampling procedures. Provide alternative activities for students unable to participate in fieldwork.

Lesson 5: Predictive Models — Integrating Probability with Traditional Forecasting

Focus Question: How can mathematical probability enhance traditional environmental prediction methods?

Activities:

  • Analyse accuracy of traditional weather predictions over time
  • Mathematics: Calculate probability distributions for environmental events
  • Create risk assessment models for environmental hazards (flooding, drought)
  • Compare traditional prediction methods with modern probabilistic models
  • Develop integrated forecasting approach combining both methods

🎥 Video Resources

Probability in Environmental Science

Search YouTube for: "probability environmental science" or "risk assessment modelling"

Focus on practical applications of probability in environmental contexts

Traditional Environmental Prediction

Search YouTube for: "traditional environmental prediction" or "indigenous forecasting methods"

Examples of traditional prediction accuracy and methods

Climate Modelling and Prediction

Search YouTube for: "climate modelling explained" or "weather forecasting methods"

Understanding how modern prediction systems work

📄 Lesson 5 Handouts & Resources

Differentiation: Provide probability concept support. Offer choice between mathematical modelling or qualitative analysis approaches.

Lesson 6: Integrated Solutions Project — Bridging Knowledge Systems

Focus Question: How can we develop environmental solutions that honour both traditional knowledge and scientific evidence?

Activities:

  • Choose local environmental issue for investigation
  • Research both traditional Māori perspectives and scientific evidence
  • Develop integrated solution proposal with mathematical justification
  • Create presentation combining cultural protocols with scientific communication
  • Peer evaluation using both cultural appropriateness and scientific rigor criteria

🎥 Video Resources

Collaborative Environmental Solutions

Search YouTube for: "indigenous environmental solutions" or "traditional ecological restoration"

Examples of successful traditional-scientific collaborations

Māori Environmental Restoration

Search YouTube for: "Māori environmental restoration" or "kaitiakitanga in practice"

New Zealand examples of traditional approaches to environmental issues

📄 Lesson 6 Handouts & Resources

  • 💡 Solution Development Template (project framework)
  • 🤝 Cultural-Science Integration Guide (synthesis support)
  • 🎤 Presentation Protocols (cultural and scientific communication)

Differentiation: Allow various presentation formats. Ensure cultural safety in all presentations. Provide peer evaluation criteria.

🎯 Summative Assessment: Environmental Action Taiao Project

Assessment Overview: Students work in small groups to plan and implement a real environmental action project in their school or community, demonstrating integration of mātauranga Māori and scientific approaches through actual action , not just reports.

🌱 The Challenge: Taiao Guardians in Action

"Ko au te taiao, ko te taiao ko au" - I am the environment, the environment is me

Using the environmental problems you identified in Lesson 1 (Environmental Detective), prioritised in your Problem Ranking votes, and analysed with real NIWA climate data in Lesson 4, your group will now take actual action to fix one specific problem. This isn't a report about what could be done — it's doing it for real.

Why This Assessment? This builds naturally from 6 lessons of investigation, voting, planning, and data analysis. It's AI-resistant because it requires real-world action, community interaction, measurable results, and photos of actual environmental change that cannot be faked.

📋 Project Requirements

🔍 Phase 1: Investigation & Planning (Lessons 1-2)

  • Issue Selection: Use your completed Environmental Detective Checklist and Problem Ranking Card votes to choose your team's focus problem
  • Baseline Data: Take "before" photos and measurements using the Measurement Planning Template from Lesson 1
  • Cultural Research: Use the Kaumātua Interview Guide to learn traditional approaches to your chosen environmental issue
  • Permission Gained: Get written approval from school/property owners for your environmental intervention

🛠️ Phase 2: Implementation (Lessons 3-5)

  • Action Implementation: Carry out your environmental intervention (plant native species, install composting system, create rain garden, etc.)
  • Daily Documentation: Photo journal with reflections on traditional vs scientific approaches
  • Community Engagement: Involve at least 10 other people in your project
  • Data Collection: Gather evidence of impact using quantitative measures

📊 Phase 3: Impact Assessment (Lesson 6)

  • Before/After Analysis: Compare baseline data with post-intervention measurements using the same mathematical skills from your NIWA Climate Data Analysis
  • Mathematical Analysis: Calculate percentage improvements, create graphs, and use statistical analysis (just like Lesson 4's temperature change calculations)
  • Traditional Knowledge Integration: Reflect on how traditional indicators and community interviews influenced your environmental solution
  • Sustainability Plan: Create maintenance schedule showing how your project addresses the climate change trends identified in NIWA data

🎨 Choose Your Final Presentation Format (Pick 2):

  • 🏫 Action Showcase: Physical installation/display in school with before/after photos, data charts, and ongoing maintenance plan
  • 🎤 Community Presentation: 10-minute presentation to school board/community group with recommendations for scaling up
  • 🎬 Digital Story: 3-5 minute video documenting the journey, traditional knowledge learned, and measurable impact
  • 👥 Peer Teaching Session: Lead other classes through hands-on activity based on your project learnings
  • 📋 Policy Proposal: Written proposal to school/local council for broader implementation with cost-benefit analysis
  • 🌿 Living Legacy: Create permanent environmental improvement that will benefit the community for years

⚡ Example Project Ideas That Actually Work:

  • School Composting System: Measure food waste reduction + soil improvement + plant native species in improved soil
  • Native Plant Rain Garden: Address school flooding + provide habitat + use traditional plant selection methods
  • Energy Monitoring Program: Track classroom energy use + implement traditional conservation practices + measure reduction
  • Biodiversity Enhancement: Create native habitat space + monitor species return + document traditional ecological knowledge
  • Water Conservation System: Install water collection + monitor usage reduction + integrate traditional water values
🎯 Curriculum Links | Te Hononga ki te Marautanga

Science Phase 4 — Ecosystems and Earth Systems (cross-curricular: Maths & Statistics, Social Sciences)

"Indigenous knowledge systems, such as mātauranga Māori, are often founded on long-term observations of environmental patterns. For example, ngā tohu o te taiao can be used to monitor seasonal changes and ecosystem health."

"Applying understanding of carbon movement to real-world contexts (e.g. climate change mitigation, land use planning, energy choices), using evidence to evaluate the effectiveness of different strategies."

"Evaluating ways humans can positively impact ecosystems and communicating actions that support kaitiakitanga (e.g. planting trees, composting, recycling, growing food, planting native species)."

Lesson–Curriculum Map

  • Ngā tohu o te taiao statement → whole unit (especially Lessons 1–2): This statement is the curricular anchor for treating mātauranga Māori as epistemologically valid science — not as cultural add-on but as a knowledge system built on the same observational rigour as modern ecology, with the advantage of longitudinal depth that modern datasets often lack. Lessons 1 and 2 establish this equivalence directly.
  • Carbon movement → Lessons 3–4: The climate integration lessons (ancient wisdom meets modern science; reading NIWA data) are explicitly grounded in Earth Systems Phase 4. The curriculum expects students to apply, not just understand — hence the requirement to evaluate strategies, not just describe climate change.
  • Kaitiakitanga action statement → Lessons 5–6 + summative: The Environmental Action Taiao Project and Lesson 6 Integrated Solutions directly deliver this statement. "Communicating actions that support kaitiakitanga" means the summative is a curriculum requirement, not just a pedagogy choice.
🚀 Extension Activities | Ngā Mahi Whakarahi

Entry-Level Extension — Ngā Tohu Observer

Students keep a personal environmental observation journal for one week, documenting weather patterns, plant behaviour, and bird activity using both te reo Māori descriptors (ngā tohu o te taiao) and scientific notation. Each observation is annotated with: what the traditional tohu says this indicates, and what the scientific explanation is. The act of writing bilingually reveals where the two knowledge systems converge and where they name different aspects of the same phenomenon.

Deliverable: Annotated digital or physical photo-journal with at least 10 observations, labelled in both frameworks.

Developing Extension — Kaitiakitanga Audit

Students conduct a systematic environmental impact audit of their home or kura — waste generation, water use, energy consumption, native vs. non-native plant ratio in grounds. For each finding, they propose one improvement backed by scientific evidence AND one improvement grounded in kaitiakitanga principles. The constraint: the proposed actions must be genuinely implementable, not aspirational.

Deliverable: Two-page audit report with evidence-backed recommendations, submitted to the school environment committee or kaitiakitanga group if one exists.

Mastery Extension — Dual-Knowledge Research Brief

Students investigate one real environmental issue facing their rohe — freshwater quality, tuna (eel) decline, coastal erosion, urban heat island, or similar — drawing on both NIWA/DOC scientific data and mātauranga Māori (at minimum one kaumātua interview or oral record, one historical environmental observation). The research brief explicitly maps where the two knowledge systems agree, where they diverge, and what that divergence reveals.

The brief is written for a real audience: a local council submission, a DOC youth engagement programme, or a school newsletter. The audience constraint forces clarity and forces students to explain both knowledge frameworks to someone who may not share their context.

Deliverable: 1,000–1,500 word research brief with an appendix documenting sources and knowledge-system mapping.

🔗 Unit Progression | Te Ara o Ngā Akoranga

Learning arc: Six lessons move from local observation to integrated action. The sequence is deliberate: students must have a felt connection to a real local problem (Lesson 1) before they can meaningfully compare knowledge systems (Lessons 2–3), analyse data (Lesson 4), model predictions (Lesson 5), or propose integrated solutions (Lesson 6). Skipping Lesson 1 produces students who understand environmental science in the abstract but cannot apply it in context. The summative Environmental Action Taiao Project is not a test of Lesson 6 — it is a demonstration of everything learned across all six.

  • Lesson 1 — Environmental Detective: Students identify real local environmental problems using systematic observation alongside traditional knowledge frameworks. The framing — "what can you actually see, measure, and fix right here?" — grounds the whole unit in a specific place. This is not a generic environmental unit; it is about this school, this awa, this rohe. The inquiry question that emerges from Lesson 1 becomes the thread students follow through to Lesson 6.
  • Lesson 2 — Traditional Ecological Indicators (Nature's Measuring Tools): Students learn that ngā tohu o te taiao — the traditional signs of the environment — are the original longitudinal monitoring system. Maramataka as structured ecological knowledge; bird behaviour as data. Comparing these with modern scientific monitoring data reveals that traditional methods are often observationally richer than modern datasets, which are rarely more than 50–100 years old. Statistics taught here (mean, median, range of seasonal patterns) are tools for reading both datasets.
  • Lesson 3 — Climate Knowledge Integration (Ancient Wisdom Meets Modern Science): Students place traditional Māori climate and weather knowledge alongside modern climate models and ask not "which is right?" but "what does each reveal that the other cannot?" Linear regression and climate graphing give mathematical grounding; traditional seasonal knowledge (maramataka, weather tohu) gives the cultural and longitudinal depth. The convergences are as interesting as the divergences.
  • Lesson 4 — Climate Data Analysis (Reading Nature's Warning Signs): Students engage directly with NIWA climate data for their local area — actual temperature and rainfall trends. "Reading the numbers" is also a question of epistemology: numbers require interpretation, and traditional tohu provide a complementary interpretive frame that asks not just "what changed?" but "what does the change mean for how we live and what we owe the land?"
  • Lesson 5 — Predictive Models (Integrating Probability with Traditional Forecasting): Students discover that probability and traditional forecasting share a fundamental challenge: reasoning under uncertainty about the future. Combining both approaches — probability distributions for environmental events and traditional pattern-based prediction — produces more robust models than either alone. Students build risk assessment models for local environmental hazards (flooding, drought, storm surge) using both methods.
  • Lesson 6 — Integrated Solutions Project (Bridging Knowledge Systems): Students choose a real local environmental issue and develop a solution that explicitly honours both knowledge systems — not by alternating between them but by integrating them at the decision point. The presentation requirement (cultural protocols + scientific communication) is not a format rule; it is a substantive constraint: a solution that cannot be explained in both frameworks has not actually integrated both frameworks. Peer evaluation criteria include both cultural appropriateness and scientific rigour.

Beyond the unit: The Environmental Action Taiao Project implements real change in the school or community — a composting system, a native planting programme, a water quality monitoring protocol. The unit's highest aspiration is that something physical and living remains after the assessment is marked. Students who complete this unit are equipped for Community Action (Year 9–10 Social Sciences) and for senior Biology, Environmental Science, and Geography. The habit of asking "what does mātauranga Māori say about this?" belongs in every science classroom that follows.

📋 Teacher Planning Snapshot | He Tirohanga Māka

Ngā Whāinga Akoranga — Learning Intentions

  • Students can analyse environmental problems using both mātauranga Māori (ngā tohu o te taiao, maramataka) and modern scientific methods, identifying what each reveals that the other cannot.
  • Students can apply kaitiakitanga as a decision-making framework when evaluating environmental solutions — asking who bears long-term consequences and whether the action increases or depletes the mauri of the environment.
  • Students can use mathematical modelling (statistics, probability, trend analysis) alongside qualitative traditional knowledge to interpret and predict environmental patterns.
  • Students can develop and communicate integrated environmental solutions that honour both knowledge systems with cultural appropriateness and scientific rigour.

Ngā Paearu Angitū — Success Criteria

  • I can identify at least three ngā tohu o te taiao from the maramataka and explain what each indicates about ecosystem health or seasonal change. (LI 1)
  • I can compare traditional and scientific monitoring methods for the same environmental variable and explain what each reveals that the other does not. (LI 1)
  • I can apply kaitiakitanga to evaluate a proposed solution by asking: who bears the long-term consequences of this action, and does it increase or deplete the mauri of this environment? (LI 2)
  • I can use NIWA climate data and traditional seasonal knowledge together to interpret an environmental trend, explaining what both datasets contribute. (LI 3)
  • I can present an integrated environmental solution that explicitly draws on evidence from both mātauranga Māori and modern science, with appropriate cultural protocols observed. (LI 4)

Differentiation & Inclusion

  • Entry: Provided observation frameworks (ngā tohu checklist + scientific data table template). Supported group work in Lesson 1 audit. Focus on identifying one real local problem before comparing knowledge systems. Pre-teach core vocabulary: kaitiakitanga, ngā tohu o te taiao, maramataka, ecosystem, biodiversity.
  • On-level: Full 6-lesson sequence with milestone check-ins after Lessons 3 and 5. Peer critique at lesson transitions using both cultural appropriateness and scientific rigour criteria.
  • Extension: Self-directed investigation with authentic community stakeholders (kaumātua, local council, DOC, tangata whenua environmental groups) from Lesson 4 onwards. Mastery EA pathway available.

Cultural Safety

  • Māori students may hold personal relationships with the tohu, tikanga, and whenua discussed. Never require students to share personal whakapapa connections. Invite community and whānau environmental knowledge as expert input — not as object of study or evidence to be evaluated.
  • ELL/D: Bilingual environmental vocabulary wall (te reo + English) for key tohu and ecological terms maintained throughout. Observation tasks use visual and physical sources before text-heavy analysis.
  • Neurodiversity: Each lesson has a predictable structure — focus question, activities, differentiation note. Multiple output modes available across lessons (written, visual, oral, mathematical). Maramataka observation tasks suit learners who engage better with physical outdoor work than desk tasks.

Pedagogical Foundations | Ngā Tūāpou Akoranga

Environmental mātauranga is not a compromise between Western science and Māori knowledge — it is a genuinely dual epistemological framework in which both knowledge systems are applied to the same environmental questions. Three researchers explain why this dual-knowledge approach produces more complete environmental understanding.

Kaupapa Māori
Graham Smith
Smith’s Kaupapa Māori framework positions mātauranga Māori as a systematic, rigorous, and evolving knowledge tradition — not as belief supplementing real knowledge. Environmental mātauranga includes centuries of observational ecology (tohu, maramataka, kaitiakitanga practice) that produced detailed knowledge of species behaviour, seasonal cycles, and ecosystem relationships. Smith’s framework insists this knowledge be evaluated on its own epistemological terms, not filtered through Western scientific approval.
Place-Based Learning
Wally Penetito
Penetito’s place-based framework is the practical anchor for dual-knowledge environmental study: both Western science and mātauranga Māori produce knowledge about specific places, and both are most powerful when grounded in the ecological particularity of where students actually live. Students who study the environmental relationships of their own rohe — its particular species, water systems, land-use history — through both knowledge systems simultaneously are doing more complete environmental science.
Progressive Education
John Dewey
Dewey’s insistence that environmental education must emerge from direct engagement with the natural world — not from textbook descriptions of it — aligns with both Western field ecology and mātauranga Māori practice, which is fundamentally an observational tradition. The kaitiaki learns by being present in the environment over time; the field scientist observes specimens in context. Both are anti-textbook epistemologies that Dewey’s framework validates.

→ Explore all theorists at Te Whare Ako — Teaching Theory