Operation Wallacea
Stephen Long currently serves as a Postdoctoral Research Associate at the Zoological Society of London since July 2021, following extensive experience in project coordination and research in Madagascar. As Project Oratsimba Research Coordinator for Azafady SEED Madagascar, Stephen manages a sustainable fishery management project, focusing on participatory monitoring and data collection strategies. Additionally, Stephen has contributed to ecological monitoring as a lecturer and database manager with Operation Wallacea, overseeing field data management and academic supervision. Previously, Stephen completed a PhD at UCL, examining the impacts of deep-sea trawling on Greenland's benthic ecosystems. Educational qualifications include an MSc in Conservation and Biodiversity from the University of Exeter and a BSc Hons in Biology from Durham University. Additional roles included project consulting at Kaplan Open Learning and field surveying with Thompson Ecology.
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Operation Wallacea
Operation Wallacea is a series of biological and social science expedition projects that operate in remote locations across the world. These expeditions are designed with specific wildlife conservation aims in mind - from identifying areas needing protection, through to implementing and assessing conservation management programmes. Large teams of university academics, who are specialists in various aspects of biodiversity or social and economic studies, are concentrated at the target study sites. Research Assistants and dissertation students joining the surveys have the option of customising their own itinerary from a range of training and science options. The surveys result in a large number of publications in peer-reviewed journals each year, have resulted in 30 vertebrate species new to science being discovered, 4 'extinct' species being re-discovered and $2 million levered from funding agencies to set up best practice management examples at the study sites. These large survey teams of academics and volunteers that are funded independently of normal academic sources have enabled large temporal and spatial biodiversity and socio-economic data sets to be produced, and provide information to help with organising effective conservation management programmes.