The initial step is conducting a thorough needs assessment and gap analysis by experienced technical team members from the project and partners. This process involves screening existing materials, consulting with stakeholders and actors in the fish value chain and identifying gaps in knowledge and practice. A field survey can be conducted to collect data on the needs of the beneficiaries and necessary framework requirements for training, e.g. technology availability, training duration, and intervals. 

Seed production standards in SQD certification are one of the special features of the system, and the main reason for its introduction. In fact, SQD standards are more flexible and take concrete account of the local context in which the seed is produced. In the case of the Boeny region, the basic standards adopted for the production of SQD-certified seed mainly concern :

• Cultivation rules: origin of the mother seed; spatial isolation of the cultivation field from any undesirable pollen; crop precedent; possible crop association; phytosanitary status of plants in seed multiplication fields.
• Field controls: the number of field controls must be carried out during the period of the cropping calendar when the distinctive characteristics of the varieties are easiest to notice; spatial isolation of the crop field; temporal isolation by a shift in flowering days if spatial isolation is not possible; varietal purity, i.e. the homogeneity of varietal characteristics of crops in the field.
• Technological standards verified in the laboratory to ensure seed quality: maximum seed water content; specific purity; varietal purity; germination rate; number of generations.
• Batch controls in storage warehouses and the maximum quantity of a batch of seed.

NOARKTECH’s WildGuard AI uses on-device Edge AI models and LoRaWAN communication to process data locally and transmit alerts even in low-connectivity regions. This low-power, scalable network allows instant wildfire detection, animal tracking, and real-time environmental monitoring.

NOARKTECH’s WildGuard AI integrates bio-acoustic microphones, air quality sensors (CO, VOC), and hyperlocal climate monitors to detect wildlife movement, forest fires, and ecological disturbances. This system enables real-time environmental intelligence for conservation, climate resilience, and human-wildlife conflict prevention.

The local leadership process began between 1997 and 1998,
when a group of artisanal fishers identified a growing conflict
with industrial fishing that affected their practices and territories.
The most critical point of the conflict occurred between 2002 and
2005, when the industry intensified its presence, generating loss
of equipment and greater pressure on the resources. This
prompted the community to organize to represent their interests
and seek solutions from the government. Leveraged by local
governance schemes, these leaders were able to support each
other in order to advance the process of establishing the ZEPA.

Building local and regional expertise in DNA barcoding and metabarcoding is vital for sustainable biodiversity conservation. Supported by BBI-CBD funding, our training programs target conservation practitioners from Lebanon, Tunisia, Côte d'Ivoire, and Jordan, including those without prior molecular biology experience. These hands-on workshops cover sample collection, laboratory techniques, data analysis, and interpretation, empowering participants to independently apply molecular tools in their contexts. Capacity building democratizes access to innovative technologies, fosters regional collaboration, and ensures continuity beyond the project lifecycle.

Meaningful engagement with Lebanese Ministries of Environment and Agriculture, local NGOs, practitioners, and communities ensured that scientific insights informed policy and restoration practices. By communicating findings clearly and collaboratively, we helped integrate molecular data into the National Biodiversity Action Plan. Awareness campaigns targeted schools, universities, farmers, and land managers, raising understanding of the ecological roles animals play in forest regeneration. This knowledge mobilization builds local ownership, promotes evidence-based decision-making, and bridges science with societal needs for long-term ecosystem resilience.

Partnerships with the Smithsonian Institution, iBOL, and Saint Joseph University have been central to our project’s success. The Smithsonian provided advanced expertise in metabarcoding methodology and quality assurance, enabling rigorous application of DNA analysis. iBOL supports the expansion of barcoding efforts, particularly for insects, linking our regional data to global biodiversity initiatives. Saint Joseph University leads research implementation and capacity building, ensuring regional ownership and continuity. These collaborations combine global knowledge with local ecological and institutional context, enabling innovation and scalability.

The creation of a comprehensive, open-access DNA reference library of native plant and animal species was foundational to our solution. Recognizing that global databases lacked coverage for many Eastern Mediterranean species, we built the first Lebanese library encompassing plants, mammals, and now expanding to insects, birds, and fungi. This reference database improves the accuracy of DNA sequence matching and enables precise identification of species present in environmental samples. It also fills a critical regional data gap and facilitates ecological studies, biodiversity monitoring, and conservation planning. By publishing the library openly, we promote transparency, collaboration, and the potential for adaptation in similar biodiversity hotspots.

DNA barcoding and metabarcoding are cutting-edge molecular techniques that allow precise identification of species from small biological samples such as animal scats. Barcoding targets a single species by sequencing a standard gene region, while metabarcoding amplifies multiple DNA markers simultaneously, enabling comprehensive analysis of complex mixtures. These methods provide detailed insights into animal diets, predator-prey relationships, and seed dispersal patterns without invasive sampling. In our solution, these techniques were adapted to the Lebanese ecological context, enabling high-throughput biodiversity assessment and revealing key interactions between fauna and flora. This approach overcomes limitations of traditional ecological surveys and opens new possibilities for monitoring biodiversity changes, especially in regions with scarce baseline data.