Region Update - Russia

The new paper concerning Southern African succulents of tribe Senecioneae have been published by Russian botanists in the Journal of General Biology (http://elementy.ru/genbio/abstracts?artid=404). At this Website you can also find more materilas in the field of biogeography including the short abstacts of papers.

Authors of abovementioned paper explain the differences in adaptation and distribution of different phylums by Gause's law of competitive exclusion and different time of expansion on the territory. Besides this data don't explain the predisposition of some Senecioneae phylums to some specific adaptations. According to this it will be interesting to do comparative analysis of plant traits within different taxa and find out the environmental factors limiting them.

You are warmly invited to attend a Royal Society  scientific discussion meeting. Alfred Russel Wallace and his legacy 21 - 22 October 2013 The Royal Society, London

More information This event will encompass Wallace’s major scientific interests including evolution, natural history, biogeography, colouration, sexual selection and astronomy. Speakers include  Professor Tim Birkhead FRS, Professor Steve Jones FRS and  Lord Rees OM Kt FRS. This meeting is intended for those in relevant fields and is free  to attend, however online registration is essential. For more  information please contact Camilla Tham at   discussion.meetings@royalsociety.org or on 020 7451 2213. Please feel free to pass this on to any potentially interested  colleagues or students.

Postdoc position available

Postdoc position
Predicting future patterns of freshwater fish extinctions
Host Institute: Evolution and Biological Diversity, University Toulouse 3, France (www.edb.ups-tlse.fr)
Closing date for application: 1st April 2011
Duration: 24 months

Context
The world is entering a major extinction crisis, the so called “Sixth Extinction” and this is particularly true for freshwater ecosystems that are among the most threatened on Earth. Among freshwater taxa, fishes are the best known regarding biodiversity. Fishes are also useful indicators of aquatic ecosystem health and sustainability and provide many economic services. Consequently a better understanding of the determinants of fish species extinctions is an attainable and critical step toward predictive models of freshwater ecosystems responses to global change.

In that context, the aim of the project “FISHLOSS” (ANR “Sixth Extinction”) is twofold. First, to draw an ecological and evolutionary framework for both natural and human driven freshwater fish extinctions at several spatial scales (from the site to the globe) by using a multidisciplinary approach combining ecology, biogeography, phylogenetics, paleontology, and biometry. Second, we intend to use this framework as an explanatory and predictive tool to identify species that are extinction-prone and to provide expected extinction rates under different scenarios of future climate change. As available evidence suggests that area of occupancy is a good predictor of background extinction rate, FISHLOSS consortium intends to establish a general relationship between background extinction rate and area of occupancy (EAR, extinction-area relationship). EAR could then be used to predict how much the extinction probability of a population will increase if its area of occupancy decreases.

Predicting future extinction rates
The successful applicant will apply a range of climate niche models, General Circulation Models (GCM) and greenhouse Gas Emissions Scenarios (GES) to a set of stream fish species occurrences. Then he will produce fish species distribution forecasts and will combine these forecasts (i.e., ensemble forecasting) with previously defined extinction-area relationships.
Future extinction rates will be predicted in two case studies: France (ONEMA database) and Africa (FAUNAFRI database, a compilation of geo-referenced occurrences of fish species over the African continent). The final outputs of this work will be to identify/cartography the combination basin-species having the highest predicted extinction probability (France), and the basins having the highest predicted extinction probability of endemic species (Africa).

Qualifications

• PhD in quantitative ecology or biostatistics
• Knowledge of species distribution modelling
• Working knowledge of large databases


Please send a CV (no more than 5 pages) outlining research experience and interests, publications, a list of skills and other relevant professional information.

Contact: gael.grenouillet@cict.fr