The purpose of community-based permanent nursery beds is to ensure the production of high-quality, resilient seedlings for reforestation efforts while building local capacity. Each of the four project districts (Luwero, Mbale, Busia, and Kapchorwa) established one centralized nursery bed per location, equipped with essential tools, irrigation facilities, and trained nursery operators. Seeds were delivered early (December 2023–January 2024) to allow for the full growth and hardening process, ensuring seedlings met survival standards. The nurseries produced 96,423 seedlings of multi-purpose tree species, including Grevillea and Agrocarpus, which were selected for their adaptability to local climatic conditions, drought resistance, and soil stabilization properties. Nurseries also served as training hubs, where farmers learned good agroforestry techniques, seed propagation, pest control, and seedling management techniques.

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

This building block focuses on the establishment of strong partnerships between academic institutions (Universidad Politécnica de Yucatán), local governments (Secretaría de Desarrollo de Sustentable del Estado de Yucatán), and conservation organizations (International Union for Conservation of Nature and Natural Resources), private sector (Huawei), and local communities (Dzilam de Bravo) to enhance the collection and analysis of biodiversity data, access to technological infrastructure, government program instrumentation and application, and local ownership and execution.

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.

The system combines data from drones, satellites, camera traps, and geospatial tools to create a comprehensive monitoring framework. This approach can be adapted for other environmental challenges, such as flood monitoring, by integrating relevant data sources specific to those contexts.

Relevant ecological processes and incidents that are of interest in environmental change research typically occur in remote areas beyond the reach of terrestrial communication infrastructures. Data generated in the field using animal tags in these regions can often only be transmitted with a delay of days or even weeks. To overcome this delay and ensure no delay in the early-warning system, GAIA develops a satellite communication module for the tags as well as a nanosatellite operating in low earth orbit (LEO): In order to be able to transmit collected data and information directly from the transmitting node to the LEO satellite (Low Earth Orbit), a high-performance satellite IoT radio module will be integrated into the new tags. This guarantees immediate, secure and energy-efficient transmission of the extracted data. The communication system is based on the terrestrial mioty® technology and will be adapted to satellite-typical frequency bands such as L- and S-band for the project. Typical communication protocols, which are sometimes used in the IoT sector, are usually designed for small packet sizes. Further development of the mioty® system will therefore also aim to increase the data rate and message size to enable application scenarios such as image transmissions.

To meet the goal of the GAIA Initiative to develop and put into practice a high-tech early-warning system for environmental changes, a new generation of animal tags is a key component. GAIA teams are working on the hardware and software development of miniaturized animal tags with lowest-power sensor technology with camera and image processing. The tags will be energy-autonomous, optimally adapted to the anatomy of vultures and are the basis for further technological features under development such as on-board artificial intelligences for behaviour detection and image recognition as well as a satellite-based IoT communication system.

Additionally, GAIA is developing concepts of distributed artificial intelligence and networks of micro-processors – animal tags that act just like a swarm. Analogous to natural swarm intelligence, the GAIA initiative is mapping digital swarm intelligence in an ad hoc network of microprocessors. These spontaneously forming networks are the foundation for distributed and sensor-based analysis of large amounts of data. Following this path will make it possible for vulture tags, for example, that are present at the same location during feeding events, to link and share tasks such as artificial intelligence analyses and data transmission.

Having data collected and analysed through a digital tool is an innovation, although to foster changes and ensure local communities and Indigenous people's protection and sustainable lifestyle the data is used for law enforcement and advocacy purposes. To this end, strong local, national and international advocacy networks are needed to take action against reported abuses and to achieve policy changes. By enabling information to be shared between users and opening up data to the general public, the tool facilitates collaborative working. 

To ensure that fish production supported by the GP Fish is an accessible protein source also for the most vulnerable, GP Fish regularly tracks fish prices and the share of total production accessible to the food insecure population. According to the conducted surveys 90 %, 58 %, 84 %, and 99 % of farmed fish is accessible for the food insecure population in Madagascar, Malawi, Zambia, and Cambodia respectively (status 2023). These numbers again highlight the potential of extensive and semi-intensive aquaculture techniques to supply affordable protein and nutrients in areas with a high share of vulnerable people.

In addition to its economic viability, small-scale aquaculture is usually more environmentally friendly compared to industrial production systems based on industrialized feeds. Fish feed usually includes a certain ratio of fishmeal and fish oil and these ingredients are produced mainly from small pelagic fish from capture fisheries, which put an additional burden on the marine environment. It also affects the food insecure population because small pelagic fish are highly nutritious and help to combat food and nutrition insecurity directly. Fish feed also includes agricultural products like corn and soya, thus competing with food production for human consumption. Despite the negative externalities on ocean biodiversity, research has also shown that intensive aquaculture systems contribute more to global warming through automated processes and high demand for production inputs. Additionally, these systems cause habitat destruction and introduce alien species, which further affect the indigenous biodiversity. In contrast, extensive and semi-intensive small-scale aquacultures requires little external inputs and have less environmental impact. For this reason, GP Fish supports small-scale aquaculture farming of omnivorous fish species such as Carp and Tilapia. The aim is to empower producers technically and economically by optimizing pond productivity and integrating fish production into agriculture activities. This approach uses the natural environment sustainably to promote fish production.