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Computational Biology and Population Genomics - CoBiG2

Orianne Rollin

Past Recent Members

I received a Ph.D. in Ecology from the University of Avignon et Pays de Vaucluse (Avignon, France) in 2013 and I am currently working in the Computational Biology and Population Genomics of cE3c, with parts of the project in collaboration with the Instituto Nacional de Ciência & Tecnologia (INCT) in the Ecologia, Evolução e Conservação da Biodiversidade (EECBio) group, at the Federal University of Goiás (Goiânia, Brazil). I am currently involved in the EUCLIPO project (Effect of EUtrophication and CLimate on POllinators and ecosystem service provision, 2018-2021) to assess the effects of soil eutrophication and climate change on plant-pollinator interactions and their consequences on pollination services.

I am an ecologist interested in understanding the impacts of the changes in the landscapes and agricultural schemes on the communities of insect pollinators and their ecosystem services (especially bees: Hymenoptera, Apoidea, Anthophila), with a focus on conservation of wild pollinators. The main objective is to reconcile the sustainability of the crop productivity, beekeeping activity and bee conservation in a context of climate change, using e.g. plants-pollinators network analyses, spatial analyses, meta-analyses.

During the last 5 years, I have worked in Argentina, Belgium and France and still collaborate with several overlapping groups of colleagues principally working on a range of topics in insect ecology and pollination, evolution and conservation.

My current research is driven by four overarching objectives: (i) identify patterns of variation in bee community at different spatio-temporal scales, (ii) understand the influence of landscape and climate changes on the spatio-temporal dynamic of bee communities, (iii) evaluate the impact of honey bee colonies and their management strategies on pollination and wild pollinators, (iv) integrate agricultural durability, beekeeping and sustainability of wild and managed bee populations to optimize pollinator management strategies.


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