Procès-verbaux de la sixième session de la Conférence des Parties contractantes, Brisbane, Australie, 19-27 mars 1996

Les sociétés du monde entier exploitent les espèces sauvages, dans une mesure plus ou moins grande, pour l’alimentation, les matériaux de construction, les soins de santé, les médicaments, la lutte contre les parasites, l’ornementation, générer des revenus, les loisirs, ainsi qu’à des fins culturelles et spirituelles. Si cette utilisation des espèces sauvages contribue directement au bien-être de milliards de personnes dans le monde, la surexploitation des espèces sauvages est l’un des principaux facteurs de perte de biodiversité.

This standartised solution combines drone technology and an innovative allometric approach to monitor and assess crocodilian populations who face significant threats, leading to population declines with 50% the 27 crocodilian species are threatened, with 25% critically endangered. Drones equipped with high-resolution cameras capture images of even partially submerged crocodiles, allowing precise, non-invasive length estimates based on head-to-body allometric ratios. This method overcomes challenges like logistical constraints, cost, need for highly trained personnel, observer bias, detectability, wildlife disturbance, and safety risks of traditional surveys. By covering remote areas efficiently, the solution enhances biodiversity mo,nitoring, informs conservation strategies, and enables a wide range of additional information to be collected. This solution is very cheap, requiring minimal training, and accessible to a wide range of users, including indigenous peoples and local communities and conservation practitioners.

Ribbit is a citizen science web app that uses few-shot transfer machine learning to record, identify, and classify frog and toad calls, contributing crowdsourced data to the Global Biodiversity Information Facility (GBIF) to address data gaps, especially in the Global South. Identification apps offer significant potential for automatic in situ biodiversity monitoring (Global Partnership on Artificial Intelligence, 2022; Tuia et al., 2022; Nieto-Mora et al., 2023). Our app focuses on anurans, as they are crucial ecosystem indicators (Estes-Zumpf et al., 2022), with over 40% of the species at risk of extinction, and their unique vocalizations are ideal for acoustic identification. Beta testers revealed the app’s potential to contribute data to GBIF while empowering citizen scientists to engage in ecological monitoring. By creating an open-access platform for labeling biodiversity data, Ribbit enables conservation organizations to develop strategies for protecting vulnerable populations and preserving critical ecosystems.

Together, the partners developed a program centered around a rigorous externship open to young adults ages 18-25 to equip them with the knowledge, tools, and relationships to seek solutions and take action in their communities around the globe. The program intentionally creates more opportunities for young people from all communities to prepare for careers in conservation and exploration. At the end of this eight-week experience, externs create an ArcGIS StoryMap presentation based on the local conservation issue they investigated. As the externship concludes, participants can apply for seed funding to begin enacting the solutions they identified in their communities. The program has addressed the challenge of inadequate leadership opportunities for global youth, by providing young adults from ages 18-25 with the opportunity to tackle global conservation issues, while gaining conservation skills.

This report presents findings from an assessment of the biodiversity conservation potential of four project sites: Lobaye, Mambéré-Kadéï, Ombella-Mpoko, and Sangha-Mbaéré located in the Bangui region of the Central African Republic (CAR). This assessment was done using the Species Threat Abatement and Recovery (STAR) metric, which employs  high-resolution imagery and an approach to modelling species’ Area of Habitat (AOH) that was revised after June 2020 among other enhancements. This work was undertaken to better inform threat abatement and restoration planning and implementation at the partner project sites, and as part of a wider effort to pilot and strengthen the use of STAR as a  tool for restoration and conservation practitioners, communities, investors, and policymakers.

The project to create Marine Education Areas (MEAs) is a response to the challenge of degrading the marine environment by raising awareness among young people in schools. The network of AMEs helps to make them aware of and responsible for their local environment, so that they can better commit to defending it.

The project financed by the European BEST 2.0 program aimed to extend the AME network of Marquesan origin to French Polynesia.

The activities planned in the project coincided with this desire to create AMEs, such as carrying out an initial ecological survey, giving talks in classrooms, supplying teaching materials and communicating about the actions carried out.

The project involved pupils from 5 schools in French Polynesia in the management of an AME. They were thus involved in actions linked to the study of the marine environment.

The pupils’ skills were developed through a variety of educational, scientific and management activities.