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My current research focuses on the evolutionary ecology and conservation of bee-flower interactions, as well as on agroecosystem biodiversity, agroecological innovations, and urban ecology. I am involved in assessments of the drivers of diversity change in wild bee communities with regional/national/international projects in Europe, in the Americas, Subsaharan Africa and Asia. I am teaching agroecology to undergraduate students in agricultural, biological and social sciences.
September 1999 - September 2004
University of Liège (Gembloux Agro Bio Tech)
Field of study
- Agricultural Sciences - Crop Protection
I am on a quest to identify means of measuring selection of quantitative phenotypic variables using a quantitative fitness estimate index. I have read about the use of multivariate regressions (sometimes with prior "In" transformation of the phenoypic variables data) but others suggest to use Structural Equation Models (SEM) instead to measure selection and derive selection gradients on intercorrelated, field-realistic data.
What is your approach? Are you using the "gsg"/"mgcv" packages in R or any other package/software?
Providing a reference test-case with a first quantitative description of relationships between agroecological farming, biodiversity of insect pollinators and pests, and cucurbit crop production in sub-Saharan Africa. Funding: BRAIN-BE 2.0 – Belgian Research Action Through Interdisciplinary Networks (2018 -2023), ‘Thematic Projects’