Dynamic risk maps, built using GIS and geospatial analysis, identify high-risk areas and guide resource allocation. This tool can be used for urban planning, disaster risk reduction, or managing natural resources like water or land.

Whale-watching tour operators

SMART Conservation Tool software

Once plants have been collected, they are transferred to our conservation nursery for propagation, or to our seed lab for viability testing and storage. We are seeing increased effectiveness of these methods with freshly collected seeds and cuttings making it quickly to our staff. As many of these individual plants were not previously known, these actions boost the genetic diversity of ex-situ collections, providing a safe place in the face of environmental degradation.

The Mamba tool allows us to collect plant material via seeds or cuttings from endangered species that we have identified and mapped in the previous building block. This tool has an effective range well over 1000m, making even the most inaccessible areas available for management actions. 

Conserving ecosystems is key to curbing climate change, and maintaining ecosystem services (GBF target 11), which are closely linked to over 50% of the world’s GDP. Over 1 million species face the threat of extinction this century; however, selecting which areas to conserve is challenging with the existing data gap, which is biased towards observations in the global north. Increasing the amount of biodiversity data in the Global South is critical in the conservation of endangered species, found at high density in biodiversity hotspots in the Global South. Amphibians are ideal for acoustic identification due to their diverse vocalizations and are crucial ecosystem indicators (Estes-Zumpf et al., 2022), with over 40% of species at risk of extinction (Cañas et al., 2023). Increasing labeled data for the more than 7,000 amphibian species worldwide would enhance conservation efforts and reduce knowledge gaps in vulnerable ecosystems. By using a citizen science platform to aid in the mitigation of biodiversity loss, we help establish local environmental stewardship of these critical habitats (GBF Target 20).

Other citizen apps have shown the potential that citizen science has on mitigating biodiversity loss. eBird, the largest citizen science project related to biodiversity, has 100 million bird observations from users around the world. These observations help to "document the distribution, abundance, habitat use and bird trends through collected species list, within a simple scientific framework." (Sánchez-Clavijo et. al., 2024).  

iNaturalist, another citizen science app, that uses computer vision algorithms for species identification, has also proven successful in mitigating biodiversity loss. To date, the app has over 200,000,000 observations, with 6 million observations per month, globally. On iNaturalist, research-grade observations are shared with GBIF, which in turn uses that knowledge for policy decisions, research, and community building (GBIF, 2023). 

Currently, our app identifies 71 species of frogs and toads, worldwide. Though many of them are identified as least concern (LC) under the IUCN, we do have one IUCN endangered species, the Southern Bell Frog (Ranoidea raniformis). This lack of threatened species included, underscores the need for diverse practitioners to participate in bioacoustic ecological monitoring. Increasing data points on vulnerable species can serve to inform policy decisions using data-driven insights. Local communities and Indigenous Peoples will be a key asset in increasing the number of species included in the app, as their local knowledge allows us to track species in remote regions. 

The Biodiversity Sensitivity Map provides a spatial representation of the varying degrees of vulnerability of conservation targets to mining-related impacts. It integrates biological and ecological characteristics of species and ecosystems, along with the influence of anthropogenic pressures, to create a comprehensive sensitivity gradient—referred to as the Biodiversity Sensitivity Index.

This index ranks the entire study area into four sensitivity classes, ranging from “Extremely Sensitive Areas” to “Less Concerning Areas”, with each category representing approximately 25% of the total area. The classification follows principles of systematic conservation planning, incorporating spatial representations of both the distribution and sensitivity of each conservation target.

Certain species, habitats, or ecosystem services are more vulnerable due to intrinsic biological or ecological traits, or due to their geographic location. Moreover, the model considers landscape-level attributes—such as environmental conditions that either support or hinder biodiversity persistence—that are not directly tied to the mining threat but are critical for understanding overall ecological resilience.

Importantly, only targets that are likely to become even more vulnerable in the absence of preventive or mitigation measures were included in the mapping, ensuring that the tool supports strategic planning and prioritization for conservation in the context of mineral exploration.

This building block emphasizes the transformative role of technology in monitoring wildlife populations and habitats, particularly jaguars. As apex predators, jaguars are key indicators of ecosystem health; understanding their movements and habitat use is vital for effective conservation. Using tools like camera traps, drones, and remote sensing, we collect high-resolution data on jaguar behaviors and habitat changes. Strategically positioned camera traps provide real-time insights into movements, breeding, and conflicts, supporting adaptive management and rapid responses.

Combined with satellite imagery, these technologies offer a holistic view of habitat conditions, tracking land use changes, vegetation cover, and threats such as poaching. Data are transmitted via mobile and satellite networks to a centralized platform, enabling timely analysis and coordinated conservation actions. The program incorporates citizen science by training local community members in data collection and reporting, fostering ownership and enhancing local capacity. E-waste generated by equipment is responsibly managed through certified recycling. This participatory, tech-driven approach strengthens conservation outcomes and long-term sustainability.

A process designed to estimate the chronic impacts of mining activities on the landscape—such as habitat loss, fragmentation, and degradation. This analysis generates a gradient of exposure for biodiversity and speleological heritage, indicating varying levels of environmental damage severity. The mining impact exposure map provides a spatial representation of the risks to which conservation targets are subjected, allowing for a detailed assessment of biodiversity vulnerability. Identifying the areas most intensely affected by mining enables more strategic and informed planning efforts to minimize biodiversity loss.

The process involves coordination with sectoral bodies, the systematization of environmental data, and the validation of results through expert consultation. The methodologies employed are scientifically validated, widely accepted by the academic community, and designed to be replicable across different regions and landscape scales.

Vultures are a highly intelligent group of birds that provide important ecosystem services. Yet, populations of old-world vultures decreased dramatically in the last decades owing to anthropogenic factors. Efficient conservation strategies that address critical threats such as indiscriminate poisoning or depleted food sources need to be developed. At the same time, their behaviour including social interactions is still poorly understood. Building on high-tech tracking equipment and AI-based analytical tools, GAIA aims at better understanding how vultures communicate, interact and cooperate, forage, breed and rear their young. Additionally, the GAIA scientists research the social foraging strategies of white-backed vultures and the information transfer within carnivore-scavenger-communities. In the animal kingdom it is common across taxa that the search for food is undertaken not only as individuals but in a group. Animals forage together or rely on knowledge from other individuals to find food. This so-called social foraging presumably yields benefits, for example concerning the amount of food that is found, the size of prey that can be hunted or the time required to access food. GAIA investigates species-specific mechanisms in behaviour and communication as well as the incentives, benefits and possible disadvantages for individuals.

By further understanding these intra- and inter-speficic connections and interactions, GAIA also contributes to better understanding roots of human-wildlife conflicts (which are often connected to carnivore behaviour) and to species management. In Namibia for example, research into the lion communities helps understanding their spatial behaviour and mitigating contacts with the local population (e.g. cattle farmers) to manage human-wildlife conflict (GBF target 4). This knowledge is also utilized to observe and manage local lion populations sustainably to benefit people (GBF target 9), balancing conflict mitigation and tourism.