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
Multi-Stakeholder Resource Mobilization

HARPA leverages Kitabisa.org's digital platform to connect multiple funding sources (public donors and corporate partners) with conservation NGOs. The system enables transparent fund distribution, real-time tracking, and impact reporting. This approach ensures sustainable funding for conservation programs while maintaining accountability to all stakeholders.

Enabling factors:

  • Kitabisa.org's trusted digital infrastructure
  • Established corporate partnership network
  • Strong public crowdfunding community
  • Transparent reporting system
  • Efficient fund distribution mechanism

Lessons learned:

  • Transparency in fund allocation and impact reporting is crucial for building long-term donor trust
  • Combining crowdfunding with corporate funding creates more stable resource streams
  • Personalized programs for corporate partners significantly increase engagement
  • Regular progress updates to donors improve retention rates
Building Block 1. Assessment using the Climate Vulnerability Index (CVI)

The methodology of the Climate Vulnerability Index (CVI) was applied to assess the risks and threats posed by climate impacts like wave action, sea level rise, erosion, and precipitation, informing the actions taken. The application was carried out in combination with a regional training that took place in Dar es Salaam, Tanzania, together with other site managers and heritage practitioners from Tanzania, Nigeria and Uganda. The training and application was supported by the James Cook University, Australia. 

The application of CVI was made possible thanks to the support of institutions such as the James Cook University of Australia, ICOMOS and ICCROM. Though the participation to the CVI project in Africa, site managers and heritage practitioners from Tanzania, Nigeria and Uganda were also invited to join the 27th annual United Nations meeting on climate (COP27) in Egypt to share their experience and knowledge. 

This Building Block shows the importance of connecting with other practitioners in monitoring and assessing our sites for any climate change induced effects. But it also highlights the significant value of connecting with other site managers and heritage practitioners from around the world, particularly when it came to exchanging knowledge about our heritage sites, the methods we use to care for them, and our perspectives on their preservation.


 

Action research on impact on mangroves and human well-being

In collaboration with the Kenya Forest Service, Kenya Marine and Fisheries Research Institute, and Kenyatta University, a research study was initiated to quantify the impact of ICS on pollution reduction, health outcomes, and deforestation. The study aims to assess social implications related to health and savings, evaluate the contribution of efficient stoves to mangrove conservation, analyse the role of fuelwood in carbon emissions at both county and national levels, and provide actionable recommendations for short- and mid-term strategies at national and local levels.

Upscaling and Integration in Development Plan

Following the successful pilot in Matondoni village, there has been high demand and acceptance of the ICS, with neighboring villages and organisations seeking support. As part of the upscaling effort, 41 cookstoves were built in Pate village including Pate Primary School and involved an additional 13 trainees. 

Further, the County Government of Lamu partnered with Wetlands International to install 10 cookstoves in five wards on a pilot basis. This initiative aligns with the County's Integrated Development Plan 2023-2027, which highlights the significance of cookstoves in enhancing energy efficiency. A total of 3,010 people continue to benefit from these cookstoves in Lamu.

 

 

 

Piloting

In collaboration with local partners, we identified vulnerable areas and conducted a survey in Matondoni village, Lamu, where traditional cookstoves are common. The survey assessed cooking needs and methods while raising awareness about the benefits of ICS for both mangroves and human wellbeing. Two cookstoves were initially set up to gather feedback from end-users over two months on their experiences, benefits, and challenges. Following this pilot, an additional 51 cookstoves were built to inform scaling efforts in other areas of Lamu.

Public participation

During the 2019 Beijing International Design Week, we invited the local citizens from the nearby neighborhoods to participate in the workshop of "urban additions and subtractions" in order to collect public opinions and expectations for the renovation of Fayuan Temple district.

The followings are the conclusions that we drawn from the interviews and questionnaires collected from the workshop.

  • For the multiple choice question of “What do you want to add to the district?” , pocket parks were selected the most by 19.78% of the participants.
  • Many of the citizens complained that the space within Hutong (the Alley) was cramped and lack of greenery.
  • The inhabitants of Hutong complained that the public restrooms and markets were relatively far, it can hardly meet the daily needs.
  • Many of the inhabitants expected more communication and social space within the neighborhood.
  • A majority of the inhabitants deemed that the amusement facilities for children and fitness equipment for the public were not sufficient.

The visitors of Hutong claimed that the hotels and recreational facilities were not sufficient to support the basic tourism needs.

Conducting of pasture monitoring

In the framework of the project, the specialists of the public foundation "CAMP Alatoo" jointly with the forestry staff and with the pasture committees of the villages have been assessing the condition of pastures in the pilot forestry farms since 2015. The joint monitoring was conducted twice a year before grazing and after grazing in the pastures. 

      Annual monitoring results contribute to a more objective distribution of livestock in pastures and prevention of degradation.       

       Pasture monitoring determines the state of pastures, and calculates the norms of pasture load. The pasture monitoring data helps the forestry to assess the degree of degradation of pastures and to develop measures to prevent degradation and to prevent mudflows and landslides in pastures.

In 2021 the project developed a mobile application "Pasture Monitoring" which allows collecting data on the condition of pastures through a smartphone in the fields without internet.  

The application is developed on the basis of two methods of pasture estimation:

1. Measuring stick method - to estimate projective vegetation coverage of the pasture area

2. The clipping method - to determine the productivity of pastures

The digital tool was specially developed taking into account the fact that rural specialists who are poorly versed in the technique could independently assess pastures quickly and without special training. Also, the mobile application allows you to collect high-quality data on the state of pastures and effectively manage pasture resources based on the data. In addition, all data collected through the mobile application automatically transfers to a central server where it will be stored.

Working with the mobile application allows to quickly and efficiently monitor pastures, the data from which immediately goes to the server, facilitates the work of employees, relieving them of paperwork and re-entering the data into the computer.

To use the mobile application in the fields does not require special training . However, before conducting it is necessary to practice in the field and understand the instructions.

In addition, for quality data collection the following factors should be taken into account

  1. Smartphone in a technically good condition with the support of the GPS 
  2. Proficiency in using a smartphone or computer
  3. Good knowledge of the mountainous area where the pasture will be monitored
  4. meter stick for data collection
  5. electronic scales for biomass weighing 
  6. methodology for calculating pasture capacity

The mobile app for pasture condition assessment has several functions that allow to trace the reliability of the data by means of photographing the pasture area where the assessment was carried out as well as by means of geodata of the cell phone which automatically saves the geo-coordinates in the system. Thus, the app can control the location of the responsible person who should visit points for data collection. In addition, to use the GPS function on the phone, you should consider the model of the phone, as older phones may have errors in the accuracy of coordinate data.