Challenges and opportunities in large-scale conservation

29 nov. 2019
Amphithéatre Charles Flahaut Institut de Botanique 163 avenue Auguste Broussonnet - MONTPELLIER (France)
The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), the International Union for Conservation of Nature (IUCN) and the World Wildlife Fund (WWF) reach to the same conclusions in their most recent reports: more than one million of species are threatened and humans trigger a sixth extinction crisis. Momentum to protect terrestrial and marine ecosystems is greater than it has ever been. As 2020 approaches, countries are accelerating their commitments to protect 17% of their land and 10% of their sea by establishing more and larger Protected Areas (PAs). The goal to protect 30% of land and sea surface by 2030 will likely accelerate this race towards large-scale conservation efforts. Yet, the effectiveness of such giant PAs requires deep improvements in biodiversity monitoring and enforcement capability. In this context, remote sensors (images, videos, sounds) are rapidly transforming the monitoring of biodiversity in its widest sense from species detection to individual behavior but also the survey of human activities be they legal (tourism) or illegal (poaching). In the last decade, large networks of remote sensors have been deployed on land and sea, billions of smartphones have generated a continuous flow of images from most ecosystems on earth while drones and satellites have provided high resolution images at unprecedented rates. To unclog the bottleneck of information extraction from these big data, machine learning algorithms and particularly the last generation of deep learning algorithms (DLAs) offer immense promises but also pose challenges. During this symposium we will present the most up-to-date camera, drone and satellite technologies able to monitor both wildlife and human activities inexpensively and unobtrusively in PAs. We will also show how these technologies have the potential to revolutionize the assessment of wild population demography and connectivity within and between PAs.
Discipline scientifique : Sciences de l'environnement - Sciences du Vivant

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