POSTDOC proposal for 18 months beginning between November and December 2013 in CAEN (France), within the laboratory BOREA (http://www.mnhn.fr/mnhn/UMR7208/umrboreauk.php), supervision Nathalie Niquil main collaborations Jeremy Lobry (IRSTEA Bordeaux) and Jean-Claude Dauvin (M2C Caen).
Project ANTROPOSEINE (ANalyse de la structure TROPhique et cOntribution des habitats de l’estuaire de la SEINE/ Trophic Structure Analysis and Contribution of habitats from the SEINE estuary, financed by the GIP-SEINE AVAL, http://seine-aval.crihan.fr/web/)
The Seine estuary and adjacent coastal zone provide many ecosystem services. In particular, they play an important trophic role for many aquatic species and they act as nursery grounds for various marine fish species. The ecological role of this ecosystem is determined by both the capacity and quality of these nursery habitats. Both climate change and quantitative and qualitative factors related to anthropogenic disturbance can affect the trophic capacity and thus ecological role of this area.
This area has been widely studied during last decades. The ANTROPOSEINE project aims at promoting an integrative approach based on ecosystem functioning. The purposes are 1) characterizing the contribution of the different habitats to the trophic carrying capacity of the coastal and estuarine areas, 2) assessing the ecosystem health status and 3) describing its dynamics. For this, all available data will be synthesised in order to characterize the ecological functioning of the different food webs in the zone, and to advise the GIP-Seine Aval consortium on the main missing elements for a good evaluation of this functioning. This work will be held in the scientific context of the definition of Food Web indicators as demanded by the Marine Strategy Framework Directive of the European Union. Numerous models have already been realised in the area, using either Ecopath or Linear Inverse Analysis, but all available data has not yet been used. The post-doc objective will be to go further in the development of these models and in their use, to better assess how management strategies have modified the ecological functioning of the estuary and to set the basis for the simulation of potential impacts of climate changes on this functioning.
Synthesis of existing data and models (using Ecopath and Linear Inverse Analysis). Ecopath models building and Ecological Network Analysis properties characterization. Transformation of Ecopath models into Linear Inverse Modelling (Monte Carlo Markov Chain) models.
The applicants should have a PhD in Numerical or Functional Ecology or have submitted their PhD thesis for assessment before the application deadline and be motivated for learning ECOPATH and LIM-MCMC modelling under Matlab (or R).
Modelling skills under Matlab or R or Ecopath with Ecosim. Knowledge of estuarine ecology and ecosystem health indicators.
Any nationality welcome, working language may be English but some French will be necessary for exchanges in the consortium.
Deadline: 9th of September 2013.
More information: http://www.ecopath.org/node/1199