The process was the cornerstone for transforming ideas into tangible results. The first step was ensuring the availability of high-quality data and demonstrating its importance within both local and national contexts. In the case of mangroves, this included their role in spatial and development planning, included in the National Territorial Development Plan, which highlights their impact on coastal livelihoods, climate adaptation, and potential blue carbon credits.

Once the data was gathered, the next step was presenting it to IUCN’s partners and members, fostering a supportive alliance to create a unified voice for advocating with decision-makers. This process continued by establishing and maintaining an open, trustworthy, and technically robust dialogue with policymakers and their technical teams. A key component of this was understanding how governance, policy and legal frameworks are developed and implemented, ensuring that even if contributions weren’t fully aligned with initial expectations, they remained practical and applicable and are adopted.

Ongoing monitoring, along with continued support from IUCN, ensured that the strategies were effectively implemented and adjusted when necessary. It’s important to acknowledge that while conservation and adaptation efforts are globally supported, they often require significant budgets, that are not available locally. To secure funding, these issues must be at the forefront of governance planning, allowing for the budgets and co-financing by development partners to be available.

The vital role of mangroves in coastal ecosystems has been emphasised through a wealth of scientific data and research. This knowledge has become the entry point for educating planners and decision-makers on the socio-economic significance of mangroves, from providing community income to supporting coastal adaptation. Through studies conducted by SOMN on Mozambique’s mangrove use and data from the Global Mangrove Alliance, IUCN has united key conservation actors such as WWF, WCS, Centro Terra Viva, BIOFUND, ABIODES, and government institutions to establish a common voice in advocating for mangrove protection.

IUCN and SOMN played a pivotal role in the elaboration and approval of the National Mangrove Strategy, which outlined clear goals, approaches, and restoration principles and were endorsed by the Government and conservation partners. Building on this foundation, the strategy was integrated into national policies, particularly the National Territorial Development Plan. This plan not only drives sustainable development but also maps out Mozambique's rich biodiversity, including its mangrove ecosystems. This allows local governments and community leaders to identify key conservation hotspots and priority restoration areas. The strategy also provides geographical and quantitative data, enabling conservationists and NGOs to monitor and track progress in their interventions.

This building block is to explain how I developped an App that allow fishers to contribute to marine science knowledge in Africa. 

Initially we gave fishers a pre-printed form to report opportunistic sightings they encountered. However, the form was getting lost most of the time. 

We decided to move to a digital solution. The existing App by then required internet to work and was just too complicated for fishers. So we thought we shoud develop an App that will be more userfriendly for fishers. 

We wrote the  algorithm (workflow) of the App and then contracted an Indian development company to write the code. 

Later we had to bring the development of SIREN back to Cameroon to reduce the cost of developement. 

We work with volunteer around the world that will continuously support with the development of the SIREN

The second block incorporates technology adapted to the local context to improve biodiversity monitoring and surveillance. Basic telephone equipment is used together with the SMART application, an innovative tool that allows data to be recorded, analyzed and prioritized without the need for an internet connection. Community guardians are trained to operate this tool, collecting key information on the status of guanaco populations and threats such as poaching. This approach combines accessible technology with community leadership, promoting evidence-based conservation and optimizing resources. The simplicity and effectiveness of this block make it replicable in other territories with limited resources and similar conservation challenges.

In addition to the assessment of vertebrate biodiversity, the DNA of the species is carried out in order to improve the species' condition. The SMART, camera traps and DNA are integrated into the protected area's integrated participatory monitoring system. The DNA is from the species, which is collected from its feces. To carry out the population assessment. The community guardians collect the samples and are trained to collect the samples.

This approach reinforces cultural identity, empowers local stakeholders as guardians of their territory and establishes effective governance based on respect for the environment and community decisions. This model is adaptable to other protected areas where the active participation of local communities is key to sustainability.

The Guaraní have lived with nature for hundreds of years. Monitoring makes it possible to maintain and revalue the local knowledge of the Guaraní population.

This building block emphasizes the importance of training students and local actors in advanced technologies for conservation purposes. In Bio-Scanner, students from the Universidad Politécnica de Yucatán  are trained in using AI algorithms, camera-trap data processing, and decision-support tools, fostering a new generation of professionals equipped to address biodiversity challenges.

This building block is centered on the use of Convolutional Neural Networks (CNNs), including Siamese and Autoencoder architectures, to detect and identify individual jaguars based on unique features such as rosette patterns and morphology. These algorithms process camera-trap data efficiently, reducing the time required for analysis and providing critical insights for decision-making in conservation.

This building block provides the essential spatial intelligence for PyroSense, enabling a dynamic understanding of the geographical landscape. Its core purpose is to identify fire risk areas, pinpoint incident locations, and visualize resource deployment. This is crucial for strategic decision-making, allowing proactive resource allocation, and response planning. 

PyroSense utilizes a robust Geographic Information System (GIS) to power this function. The GIS integrates various spatial data layers, including topography, vegetation, infrastructure, etc. Initially, baseline risk maps are created by analyzing factors, guiding the placement of sensors and cameras.

Upon detection of a potential fire by environmental sensors or AI, the system immediately feeds the precise coordinates into the GIS. This real-time location data, combined with meteorological data (local and satellite), enables dynamic risk assessments. The GIS also serves as a central operational dashboard, visualizing the real-time positions of all deployed assets, including drones and first responder teams. This facilitates optimal resource allocation and coordination. This critical information is then communicated via a web application to stakeholders, providing clear visual situational awareness and supporting informed decision-making. 

This is the comprehensive intake mechanism for all information vital to PyroSense's platform. Its purpose is to gather real-time data, from multiple origins, ensuring the system has the input needed for accurate analysis and effective decision-making. 

PyroSense integrates an agnostic and highly compatible array of data:

1. Environmental IoT Sensors are strategically deployed, and continuously collect real-time CO2, temp. and humidity data. They are agnostic in type and protocol, compatible with MQTT, LoRa, Sigfox, and NBIoT, ensuring broad integration. For efficiency, they feature long-lasting batteries (up to 10 years), minimising maintenance.  

2. Fixed cameras and drones capture high-resolution images and live video. Integrated Vision AI processes this visual data in real-time to detect anomalies like smoke or fire. 

3. PyroSense gathers data from local weather stations and satellites. Combining granular local data with broad satellite coverage provides a comprehensive understanding of current weather.

4. GIS provides foundational spatial information, including maps of terrain, vegetation,  infrastructure, etc. 

5. Firemen Wearables monitor real-time biometrics. AI enhances data for risk pattern recognition, of fatigue or heat stress. Real-time alerts are sent to nearby teams or control centers, enabling proactive intervention.