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Quentin's work uses big human data to understand how humans influence the natural world. A spatial and community ecologist by training, he came to SESYNC as a postdoc in 2018 to investigate the environmental impacts of food waste throughout food supply chains. Since 2019, he has been a member of SESYNC's data science team. As a data scientist, Quentin helps SESYNC researchers and working groups with data analysis, visualization, processing and management. He also develops and teaches data science lessons and maintains the rslurm package.
Quentin's SESYNC projects involve identifying the sectors of the United States economy that are the most responsible for the food system's environmental impacts, assessing the effectiveness of proposed interventions and technologies to reduce food waste, and incorporating biodiversity into environmental assessments of food production and consumption. In the past, he has studied the environmental and spatial factors predicting species diversity, and how local communities of species respond differently to climate change and species loss. Please see Quentin's website for more information on his publications and research interests.
Resources | |
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Beyond counts and averages: Relating geodiversity to dimensions of biodiversity |
Jan 23, 2020 Article published in Global Ecology and Biogeography |
Assessing the environmental impacts of halving food loss and waste along the food supply chain |
Jan 14, 2020 Article published in Science of the Total Environment.
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A systems approach to assessing environmental and economic effects of food loss and waste interventions in the United States |
Jun 17, 2019 Article published in Science of the Total Environment |
Fungal colonization of plant roots is resistant to nitrogen addition and resilient to dominant species losses |
Mar 13, 2019 Article published in Ecosphere. |
Towards connecting biodiversity and geodiversity across scales with satellite remote sensing |
Feb 27, 2019 Article published in Global Ecology and Biogeography |