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FIELD ASSISTANTS NEEDED
We are looking for candidates to help with field work from MAY to SEPTEMBER 2017. Fieldwork involves LOTS OF HIKING! You will visit sample sites in the mountains of the Cape Peninsula in order to set up acoustic arrays to record calling frogs.
MSc project on modelling frog distribution
SEEC is looking for a Masters student to work on modelling range-wide abundance patterns of moss frogs (Arthroleptella lightfooti) using acoustic monitoring data.
https://cran.r-project.org/web/packages/DiffusionRgqd/vignettes/DiffusionRgqd_Paper.pdf
Congratulations to Etienne Pienaar on the award of his PhD!
Congratulations to one of our students, Etienne Pienaar, on the award of his PhD entitled "Diffusion Processes and Applications".
Seminar - Bethany Bradley - Plants in space: testing assumptions about species distributions
On Thurs 8 Dec come hear Bethany Bradley from the University of Massachusetts talk about whether both invasive and native plants in the USA are in equilibrium with the local environment.
Seminar - Colin Beale - Global change impacts on savannahs
On Monday 5 Dec at 13:00 come hear visiting researcher, Colin Beale from the University of York, talk about how changes in temperature and rainfall interact with changes in grazing and fire regimes to affect bird distribution and diversity
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Welcome to SEEC


The Centre for Statistics in Ecology, the Environment and Conservation is an inter-departmental grouping based at University of Cape Town. Our goals are:

  • to be the leading group in statistical ecology and environmental analytics within South Africa
  • to provide a hub connecting statisticians and biological / environmental scientists to ensure that the most important environmental questions are addressed with cutting edge statistical methods
  • to develop methods that link data analysis and modelling into the conservation planning and management process Scientific knowledge progresses by confronting hypotheses with data.

The statistical sciences develop quantitative tools for evaluating hypotheses in the light of data and therefore assume a critical role within science. This is especially true for the biological and environmental sciences, which study complex systems with large amounts of multi-layered data and are faced with decision making problems that directly affect human livelihoods and well-being. Recent developments in statistical methods are revolutionising the way ecological and environmental research is conducted. These developments led to the fields of statistical ecology and environmetrics.

The goal of these fields is to address core questions in ecology and environmental sciences using novel statistical approaches, which account for uncertainty more comprehensively and extract signals from noisy data more reliably. This is leading to a far deeper understanding of natural systems, which is the foundation for the sustainable use and management of pressures on biodiversity in the face of global change.


Background


South Africa is one of the 17 top mega-diversity countries, which together hold two-thirds of the planet's biodiversity. The value of South Africa's biodiversity for the country's economy is well recognised: ecotourism is a large, growing and sustainable area of employment; a large proportion of the rural population depends on the sustainable use of biodiversity; the sustainability of the entire economy is predicated on the ecosystem services provided by a well-functioning environment.

A quantitative understanding of environmental processes that is based on the best available statistical methods used in structured decision-making situations is therefore critical for the country. Tasks such as attributing observed environmental changes to various drivers and conducting cutting-edge environmental research will depend increasingly on the development and availability of a new generation of statistical tools, and people with the skills to apply them. Management of human activities in ecosystems needs evidence-based decision making tools, set in a multicriteria decision-making framework.

The Centre is hosted by the Department of Statistical Sciences and general enquiries can be made to seecuct@gmail.com.


 

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