, the #1 open access web portal for PhD theses...

Why PhD theses...

PhD thesis is the result of years of hard work.

keyword researchMeasured by download count PhD theses are one of the most popular items world wide on open access repositories. But unless a thesis is published, it is very difficult for other researchers to find out about it and get access to it. Theses are often under-used by other researchers. attempts to address this issue by making it easy to identify and locate copies of many theses in various disciplines.

Evolutionary ecology of fluxes

Evolutionary ecology of fluxes
François Massol


Department of Biology, University of Lille 1 - Science and Technology, Villeneuve d'Ascq, Lille, FRANCE.


Ecological systems are all spatially structured to some extent, with fluxes of individuals, matter and energy linking habitat patches and, thus, connecting local and regional dynamics. This synthesis is an attempt at summarising work I have performed since 2008 on the following topics:
  1. The emergence and coexistence of phenotypically distinct types, be they genotypes within a species or species within a community, in particular in models explaining the evolution of dispersal polymorphisms and their consequences for communities;
  2. The complexity and functioning of ecological networks. This more recent part of my work has led me to consider models of interaction networks and models of spatially structured ecological systems on directed networks;
  3. The dynamics of spatially structured ecological systems, in particular the consequences of perturbation dynamics in metacommunities and a re-examination of the stability-complexity issue in metaecosystems;
  4. The geographic distributions of species, notably through the improvement of current methods to estimate consensus and uncertainty among different species distribution models and through theoretical models linking maladaptation and gene flow to species range limits.
Current perspectives on these topics include developing spatial evolutionary models interaction network, applying network approaches to the prediction of ecosystem services, and improving the general framework of spatially structured ecological systems, e.g. by taking into account symbiotic interactions and their evolution in spatially heterogeneous settings.