The team is developing theoretical understanding for applied science, mainly in fisheries management ecology
and biodiversity conservation. Today (2013) we have new additions: Senior Research Fellow Dr Francisco De Castro and Research Fellow Dr Sam Shephard (see below for both). Olga now works with the Royal Netherlands Institute for Sea Research and Jennifer, having just graduated with a PhD is working with us as a Research Fellow now.
If you would like to join in, please identify a source of funding and drop us a line.
Ph. D. Ecology. 1993. University of Seville. Spain. Thesis: Simulation model of plant structure.
PROFESSIONAL CERTIFICATIONS & ASSOCIATIONS
Member of the International Society of Ecological Modeling (ISEM)
Ecological Society of America (ESA) Member: 110042
Certified Senior Ecologist by the Ecological Society of America (2002 – 2007)
Francisco joined us in 2012 from Potzdam University. Here is what he says: "I am mainly a theoretical ecologist/modeler. Currently, I am working on spatial aspects of food web dynamics. Also on how individual body size, metabolism and efficiency in energy transfer affects community structure. Previously I worked on host-parasite dynamics and its effects on the community and a variety of other subjects: dune movement, tree shape, canopy structure, etc. always trying to extrapolate interactions at small scale to the dynamics of the large-scale system". Francisco is payed out of the Beaufort Marine Award and will be helping to expand our models and theories into spatial domains.
A few of his publications:
Riede, J. O., Brose, U., de Castro, F., Rall, B. C., Binzer, A., Curtsdotter, A., Eklo¨f, A. 2011. Food web
characteristics and robustness to secondary extinctions. Basic & Applied Ecology 12(7): 1-9.
de Castro, F., Gaedke, U., Boenigk, J. 2009. Reverse evolution: Driving forces behind the loss of acquired
photosynthetic traits. PloS ONE 4(12):1-6.
de Castro, F., Gaedke, U. 2008. The metabolism of lake plankton does not support the Metabolic Theory of
Ecology. Oikos 117(8): 1218-1226.
de Castro, F., Bolker, B. M. 2005. Mechanisms of disease-induced extinction. Ecology Letters 8(1):117-
de Castro, F., Bolker, B. M. 2005. Parasite establishment and host extinction in model communities. Oikos
111: 501 -513
BA (2006) Mathematics, University of Maine; MSc (2007) Music Technology, University of Limerick
PhD (2009-2013) QUB: "Structure and dynamics of marine-community interaction networks"
Funded by a Beaufort Marine Research Award from the Republic of Ireland.
My research aims to support the ecosystems approach to fisheries management by studying how fishing affects marine ecological communities. I am examining this using dynamic numerical models of the marine ecosystem which consist of a network of size-structured populations connected by community interactions. I am jointly supervised by Dr. Axel Rossberg and Dr David Reid of the Irish Marine Institute.
Tel: +44 (0)28 9097 2103
BSc Mathematics with Management, First Class Hons. (2003), Imperial College London; PhD modelling biological complexity, University College London (2009). Previous work involved applying mathematics to a range of biological areas, such as visual perception, population genetics and the dynamics of coral reef ecosystems.
PhD Queen’s University
My PhD focuses on using mathematical techniques to investigate the mechanisms behind key ecosystem phenomena such as biodiversity and stability. These include complex systems theory, network theory and size-structured community theory. It is envisaged that new insights will be gained that can be translated into effective biodiversity policy for fisheries operating around the Irish coast and generalised for the Ecosystem Approach to Fisheries Management. My PhD is funded by the Irish Government under the Beaufort Marine Award Scheme and is jointly supervised by Dr Axel Rossberg and Dr David Reid of the Irish Marine Institute.
BSc (2004-2008): Marine Science, National University of Ireland, Galway.
MSc (2009-2010): Applied Marine Science, University of Plymouth, United Kingdom.
PhD (2010-present): "Modelling the Ecosystem Approach to Fisheries Management"
Fisheries management is moving from maximising the sustainable yield of a single stock towards a community perspective. This ecosystem approach requires far more complex models of multi-species interactions and community structure than previously encountered by fisheries managers and other stakeholders. My PhD aims to bridge the gaps between scientists and fishermen caused by this expansion of complexity. I am investigating and selecting appropriate indicators of community health which can summarise ecological complexity in a 'dash-board' describing the system's state to managers. I am incorporating size-structured multi-species models into fisheries simulation tools to enable rapid scenario exploration and conceptual learning. I work in close collaboration with fisheries management professionals at the Irish Marine Institute to ensure the practical applicability of the decision support tools that I am building. The ultimate aim of my work is to enable fishers to take greater responsibility for the sustainability of the resources they exploit by providing accurate, comprehensive and understandable information on the behaviour of the marine community under fishing.
My PhD is funded by the Irish Government under the Beaufort Marine Award Scheme and I am under the joint supervision of Dr Axel Rossberg and Dr David Reid.
Axel, has been our Beaufort Senior Research Fellow, but is now reduced to 10% part time. During that 10% he still helps the team, especially with the use and interpretation of the Population Dynamic Matching Model. Axel now works at the CEFAS institute in Lowerstoft, England.
Olga has successfully defended her PhD and now lives in Holland.
BSc (1999-2003) Economics and Management, National Academy of Environmental Protection and Tourism, Ukraine;
MSc (2003-2004) Economics and Management, National Academy of Environmental Protection and Tourism, Ukraine;
MSc (2005-2007) Environmental Sciences (specialisation Environmental Economics), Wageningen University, The Netherlands
Funded under STRIVE doctoral programme, EPA, Republic of Ireland.
Biodiversity, arising at multiple levels, is known as a multi-dimensional and complex con-
cept, but is also has a rather loose definition. Imprecise definitions are not very suitable
for ob jective quantification or the rigour of economic valuation.
Therefore, to construct a more substantial definition of value for biodiversity, a theore-
tical argument aiming to link biodiversity and functional (meaningful) information needs
to be developed. A working hypothesis is that biodiversity is a measure of the total dif-
ference within a biological system, which can be summarised in terms of the system’s
total information content, of which functional information is a subset. Since functional
information has systematic (non-random) patterns, it coincides with the scientific meaning
of biological complexity, thus providing the foundation of value in biodiversity.
The theory presented sets the goal of estimating biological complexity from the potentially
valuable information derived from empirical biodiversity metric data (ecological measures).
To achieve this, the ecological properties of a system, as they are measured by ecologists,
were translated into a simply defined single valued property. This led to a conclusion that
if there exists a systematic relationship among empirical biodiversity metrics, then there
must be a unifying property underlying intrinsic value of biodiversity.
Then, an advantage of a representation of biodiversity as information was demonstrated
by comparing it with the most commonly used metric – species richness. It was shown
that species richness missed a large proportion of diversity, emphasising the importance
of additional ecological properties and the need for species databases to record functional
traits, presence, and abundances in communities, as well as phylogenetic information.
Finally, by providing intellectual foundations and developing an analytical tool for biodi-
versity quantification, this study sets the goal for further research. An advantage of the
approach in this study to economic valuation is that value is based on real, measurable, and
intrinsic properties of systems, such that it is ob jective in contrast with present opinion-
based economic methods applied to biodiversity.
PDF of full Thesis