Inclusive and Participatory Research on environmental culture and CEPA's efforts

When the Ministry of the Environment was seeking the designation of the Amami Archipelago as a national park for the purpose of registration as the World Heritage site, it proposed two management concepts, “Ecosystem Management Type” and “Environmental Culture Type,” with the support of Kagoshima University, which had launched the Kagoshima Environmental Studies Project, a public-private collaboration aimed at solving environmental problems in the region. The “Ecosystem Management Type” concept aims to preserve the area as a registered World Natural Heritage site, while the “Environmental Culture Type” concept supports cultural value by providing visitors with a chance to experience the history and culture of people who have lived in harmony with nature in the area, and have skillfully used and passed it on to future generations. The purpose of Japan's national parks is to protect natural scenic areas, promote their use, and contribute to conservation of biodiversity. “Amamigunto National Park” was the first national park to propose the concept of an Eenvironmental Culture Type” national park that focuses on the nature and culture of the region. The term “Amamigunto” means “the Amami Archipelago”.

The Ministry of the Environment and Kagoshima University conducted an interview survey in collaboration with local residents in the satoyama area of Amami, a candidate area for a national park, to visualize the language and spirit that represent the culture of the islanders and how they live using nature. We also cooperated with local museums to understand the local environmental culture that has coexisted with nature. Through many workshops and symposiums, including web-based workshops, the results of the survey were shared with local residents and people from Amami living in the city, and through understanding the uniqueness and value of the local environmental culture, the awareness that environmental culture has the potential to strengthen community identity and seed independent economic development in the region. This awareness has spread.

Explanation of Amami NP's definition of “environmental culture”.
“The general consciousness, lifestyle, and production style that local people have formed and acquired while interacting with nature and influencing each other.”


Case Studies of Environmental Culture
Example 1) The topography of the “high island” and “low island” in the Amami Islands determines the amount of water in the rivers, which in turn determines how the islanders secure water for daily use and how they obtain firewood. On the “high islands,” waterwheel-powered sugar production using the abundant river water became more active, and trade flourished, strongly influencing the culture and consciousness of the islanders. This culture and consciousness has influenced the islanders' approach to nature and has defined the island's natural environment.

Example 2) The awareness of the forbidden by the yokai Kenmun in the island's folklore has become a means of appropriate control of natural resources and coexistence with nature. The “yokai” is closely English word for “ghost” or “supernatural creature”.
 

The sharing of issues with the local community:
Local residents had a sense of crisis regarding the decline of the local traditional environmental culture.


Communication:
The project was able to build relationships of trust with community leaders, senior citizens, women, children, and other members of the community.


Partnerships:
Close collaboration among government agencies, universities, and local media.


Return of benefits:
There was an expectation that the benefits would be returned to the community in the future.

 

Use of Participatory community survey methods
The sense of efficacy and sense of ownership was increased by generating local knowledge together, rather than by giving knowledge in a one-way report.
 

Recognition of the importance of historical perspectives:
It is important to show respect for the awareness of local residents based on historical perspectives in addition to the relationship between nature and culture.

Use of existing research:
The use of existing research on a wide range of topics.
 

Our idea

In the context of fisheries and aquaculture, the fish trap represents an evolution of existing harvesting methods. Unlike active fishing gear, such as seines, the fish traps require less labor and energy, which makes them very efficient in terms of catch effort. In addition, the fish traps do not physically harm the caught fish, so the fish can be taken out of the trap alive and in good health. Early experiments on partial harvests in aquaculture in Malawi date back to the 1990s, when different tools for intermittent harvest were tested. However, due to the inefficiency and labor-intensity of the methods, there has been no broad application or further developments.

Based on this knowledge, further literature research, and expert discussions, the idea was born to build and test a size-selective fish trap to regularly harvest the juveniles of the initial fish stock. This innovation is thought to control the stocking density, to optimize the use of supplementary feeds, and to not exceed the carrying capacity of the pond. Ideally, a successful application of the fish trap would result in households increasing their overall aquaculture productivity, whilst harvesting small quantities of small fish much more regularly than has been customary in aquaculture to date. The intermittently harvested fish can be consumed within the household or used to generate small amounts of regular income. Meanwhile, the initial fish stock (parent fish) will be grown to a larger size for the final harvest.

The challenge

In a fish-loving country like Malawi, where fish is the main source of animal protein, but fisheries yields are in decline, great hope and effort is placed in the development of aquaculture. Better access to and regular consumption of fish, which is an important source of protein and essential micronutrients, can make an important contribution to overcoming development challenges. And food insecurity is one of the greatest in terms of public health. Women and children are particularly affected by malnutrition. The expansion and promotion of sustainable aquaculture represents an important approach to meeting a growing demand for fish.

This development requires – among many other aspects – innovations that contribute to successfully mastering challenges in the sector. With a focus on rural aquaculture, the Aquaculture Value Chain for Higher Income and Food Security Project in Malawi (AVCP), part of the Global Programme ‘Sustainable Fisheries and Aquaculture’ under the special initiative ‘One World – No Hunger’ of the German Ministry for Economic Cooperation and Development, is providing technical training to 4,500 small-scale producers in Malawi. Fish farming helps them improve both income and food security.

One of the common and complex challenges in rural aquaculture is the use of mixed-sex Tilapia fingerlings in low-input systems. This means that farmers only have a limited selection and quantity of agricultural by-products available with which to feed a rapidly growing fish population in the pond. This leads to increasing competition for oxygen and food, which leads to poor growth rates and often an acceleration of sexual maturity. Accordingly, final harvests often consist of rather small fish, which does not meet the widespread expectations of harvesting edible – “plate filling” – fish from aquaculture.

Given the unavailability or prohibitiveness of mono-sex fingerlings, fish feed and aerators in rural aquaculture, the project was challenged to find an alternative solution to improve the productivity of rural aquaculture and its contribution to household nutrition.

Data collection

Using the Google Earth Engine (GEE) platform, Landsat TM/OLI series remote sensing data from 1990 to 2022 were collected, covering TM5, ETM+7, OLI8, and OLI9. Key spectral bands (near-infrared, red, and green light) were fused to ensure high-quality data for subsequent analysis.

  • Remote sensing images with ≤10% cloud cover were selected for radiometric and atmospheric corrections through batch processing.
  • Thematic information extraction leveraged band combinations that emphasized vegetation characteristics (e.g., NIR bands for vegetation reflectance peaks).
  • Limitations in resolution (spatial, temporal, and spectral) can introduce errors, necessitating robust corrections (radiometric/geometric).
  • Data fusion between satellites was crucial for achieving consistent long-term datasets, but this step required additional processing to align temporal and spatial resolutions.
Data collection

Using the Google Earth Engine (GEE) platform, Landsat TM/OLI series remote sensing data from 1990 to 2022 were collected, covering TM5, ETM+7, OLI8, and OLI9. Key spectral bands (near-infrared, red, and green light) were fused to ensure high-quality data for subsequent analysis.

Team & Implement

After needs have been identified and the approach has been agreed upon, the site selection process begins. The APW team collaborates with the village government and grazing committee to conduct a participatory mapping exercise, using Google Earth Pro to visualize the village’s land use plan and identify grazing areas. Community members help identify key pasture areas by walking transects. Monitoring plots are then identified, typically recommending one plot per square kilometer of critical pasture.

A plot ID–utilizing a local name–is designated for each plot and baseline data is collected using a mobile data collection form. The data includes both ecological metrics (e.g., grass height, soil type) and social factors (e.g., cultural significance, accessibility). 

GIS technology is utilized to overlay selected plots onto the village’s land use plan using Google Earth Pro, ensuring the final sites reflect the ecological diversity and grazing importance of the rangelands.

APW recognizes that traditional practices are often more feasible, accepted, and relevant to community leadership than new approaches to rangeland management. The team spends significant time during the preparatory phases learning about indigenous methods of pasture management and biophysical interventions. For instance, many pastoralist communities traditionally implement zoning practices through rotational grazing or livestock species control. Since these practices are already a way of life for the pastoralists in these communities, they are accepted and implemented more successfully. 

By strengthening these practices with modern, user-friendly technology, APW maintains support from village leadership while introducing innovative methods for data collection, analysis, and feedback. This builds ownership and trust in the communities, leading to long-term success.

Partnership with Smithsonian Institute

This collaboration has been crucial for knowledge exchange and the adaptation of advanced metabarcoding techniques to Lebanon. The Smithsonian team provided best practices on implementing DNA-based methods in ecological studies and offered expert advice on selecting the most suitable tools and instruments for metabarcoding analysis. This partnership has strengthened the scientific foundation of our project and ensured that our approach aligns with international standards.

NoArk's Building Blocks

The building blocks of NoArk's solution are interconnected to create a comprehensive, efficient system for conservation and environmental management. Bio-acoustic and chemical sensors collect critical ecological data, while Edge AI processing ensures rapid, on-site analysis, enabling immediate detection and response. These components are supported by LoRaWAN connectivity, which facilitates reliable, long-range communication in remote areas. The processed data is centralized on the PAMS dashboard, where it is visualized and analyzed for actionable insights, fostering better decision-making.

This system is strengthened by hyperlocal climate data, which enhances precision in risk assessments and planning. Finally, community and stakeholder engagement ensures the data and tools are effectively utilized, promoting collaboration and adaptability. Together, these elements form an integrated solution that empowers conservation efforts, addresses ecological threats, and supports sustainable development.

The purpose of the building blocks in NoArk’s solution is to create an integrated and scalable system for addressing ecological, social, and economic challenges. Each building block plays a unique role and works in harmony with the others to deliver impactful outcomes.

How Each Building Block Works  

1. Bio-Acoustic and Chemical Sensors
  - Purpose: To monitor ecological and environmental health.  
  - How it Works: These sensors detect specific sounds (chainsaws, wildlife movement) and measure air and water quality, providing real-time data on biodiversity and pollution levels.  

2. Edge AI and IoT Integration
  - Purpose: To process data locally for faster decision-making.  
  - How it Works: Edge AI analyzes data directly on the devices, reducing reliance on cloud processing. IoT connectivity ensures data is transmitted securely and efficiently.  

3. LoraWAN Connectivity
  - Purpose: To enable cost-efficient, long-range communication.  
  - How it Works: LoraWAN ensures sensor data is transmitted over long distances with minimal power consumption, making it suitable for remote deployment.  

4. PAMS Dashboard
  - Purpose: To centralize and visualize data for actionable insights.  
  - How it Works: The dashboard aggregates data from all devices, providing tools for predictive analytics, real-time monitoring, and decision support.  

5. Hyperlocal Climate Data
  - Purpose: To support precise, localized interventions.  
  - How it Works: Sensors generate accurate, auditable data that informs risk assessments, conservation planning, and disaster management.  

6. Community and Stakeholder Engagement
  - Purpose: To ensure effective implementation and adoption of the system.  
  - How it Works: Partnerships with local communities, researchers, and decision-makers foster collaboration, capacity-building, and long-term sustainability.

Enabling Factors


- Technological Infrastructure: Reliable sensors, robust AI, and IoT technologies enable seamless data collection and processing.  
- Partnerships and Collaboration: Engagement with local communities, governments, and research organizations ensures the system is tailored to specific needs.  
- Scalability: LoraWAN and modular design allow deployment in diverse ecosystems and scaling to larger projects.  
- Sustainability: The system’s low power requirements and stakeholder involvement ensure long-term functionality and impact.  

These enabling factors ensure the building blocks work cohesively to deliver a holistic, impactful solution for conservation and environmental management.

Conditions Important for Success  

1. Reliable Technological Infrastructure  
  - High-quality sensors, robust Edge AI, and IoT systems are essential for accurate and timely data collection and processing.  

2. Strong Connectivity
  - LoraWAN or similar long-range, low-power communication systems are critical to ensure seamless data transmission in remote or challenging environments.  

3. Stakeholder Engagement  
  - Collaboration with local communities, governments, and researchers ensures the solution is contextually relevant, widely accepted, and effectively implemented.  

4. Scalability and Modularity
  - Designing systems that can scale and adapt to various ecosystems and environmental challenges is key to broader impact and replication.  

5. Sustainability Planning  
  - Developing low-power solutions, clear funding strategies, and community-driven maintenance plans ensures long-term functionality.  

6. Capacity Building
  - Training stakeholders, including local communities and enforcement agencies, to utilize and interpret the system’s data enhances the effectiveness of the solution.  

Lessons Learned

1. Adaptability is Critical
  - Each deployment requires customization to address local ecological, social, and economic conditions effectively.  

2. Community Involvement Drives Success
  - Engaging local stakeholders early fosters ownership, increases trust, and enhances adoption.  

3. Robust Data Systems Improve Decision-Making
  - Providing accurate, auditable, and traceable data builds credibility with decision-makers and supports informed interventions.  

4. Connectivity Challenges Must Be Addressed
  - Remote deployments need reliable communication systems like LoraWAN to ensure uninterrupted data flow.  

5. Integration of Multi-Sensor Inputs Enhances Impact
  - Combining bio-acoustic and chemical sensors with climate data creates a comprehensive understanding of ecological challenges, enabling holistic solutions.  

6. Continuous Feedback Loops Improve Performance  
  - Iterative updates based on field experience and stakeholder feedback optimize system performance and impact.  

By meeting these conditions and applying lessons learned, NoArk’s solution ensures effective implementation and significant positive outcomes for conservation and environmental management.

Community Education and Engagement

Through the Tunas Scholarship program and conservation education initiatives, HARPA builds long-term community support for conservation. This approach connects conservation with education and local development, ensuring sustainable impact through community involvement.

Enabling factors:

  • Structured education programs
  • Local community partnerships
  • School network collaboration
  • Scholarship program framework
  • Regular community engagement activities

Lessons learned:

  • Education programs are most effective when combined with direct community benefits
  • Long-term engagement proves more impactful than one-off activities
  • Local wisdom and cultural sensitivity are crucial for program success
  • Scholarship programs effectively build next generation of conservation advocates
Strategic NGO Partnership Framework

HARPA collaborates with specialized conservation NGOs who serve as expert implementers in their respective fields. Each NGO partner is carefully selected based on their expertise and track record. This framework enables effective program implementation while ensuring professional conservation standards are met.

Enabling factors:

  • Network of verified conservation NGOs
  • Clear partnership agreements
  • Defined roles and responsibilities
  • Regular coordination meetings
  • Standardized reporting protocols

Lessons learned:

  • Clear roles and responsibilities must be established at partnership initiation
  • NGO partners need autonomy in technical implementation within their expertise
  • Regular coordination and standardized reporting are essential for quality maintenance
  • Proper credit and recognition sharing is vital for successful partnerships