A PhD thesis on seagrass ecology is available at
UMR 9190, MARBEC (Montpellier et Sete)

For information you can follow the link:
https://www.adum.fr/as/ed/voirproposition.pl?langue=fr&site=gaia&matricule_prop=11390

or contact one of the following scientists:
1 Sophie Arnaud Haond ( thesis director): [email protected]
2 Francesca Rossi (thesis co-director) : [email protected]
or VIncent Ouisse (co-director): [email protected]

Context
Seagrass ecosystems largely contribute to maintain biodiversity and ecosystem services in coastal areas worldwide. However, they are threatened ecosystems and there is need of knowing how they respond to perturbations for implementing conservation measures. Recent ecological theory suggests that when an ecosystem approach thresholds of ecosystem change states, it shows early warning signals such as decreased temporal stability and decreased capacity of recovering following pulse perturbations. Understanding which are the early warning signals for seagrasses is fundamental for managing their conservation. Nonetheless, there are not yet experimental proofs for seagrasses, despite this theory seems to work for other ecosystems.
This project aims at understanding the resilience of seagrass ecosystems under multiple perturbations. In particular, the project will focus on the following questions: 1) What is the trajectory of meadows under stress 2) Which indicators can be used to establish the biodiversity and conservation level of seagrasses? 3) Are seagrass ecosystems under press stress less capable of recovering after pulse disturbance? 4) How this information can be used to identify early warning signals of ecosystem shift?.

The project will use an experimental approach in the field and in the laboratory. Initial funding are provided by an ongoing project funded by TOTAL foundation and other submitted projects.
Funding for the PhD salary is subjected to the examination of the doctoral school GAIA (University of Montpellier).

The candidate is expected to have high score at her/his master (>15/20 or 75%), interest and knowledge in community ecology and aquatic habitats. He/she should have interest in integrating theoretical and experimental ecology and in using logical experimental designs and data analyses. Knowledge on statistical tools such as Analyses of variance and their multivariate correspondents (ex PERMANOVA) and diving license are not indispensables but they will be positively considered for the choice of the candidate.

Le contenu de cette offre est la responsabilité de ses auteurs. Pour toute question relative à cette offre en particulier (date, lieu, mode de candidature, etc.), merci de les contacter directement.

Pout toute autre question, vous pouvez contacter [email protected].