Dr Keith D.
Farnsworth

Reader
in Theoretical Biology
School of Biological Sciences,
Queen's University Beflast
MBC 97 Lisburn Road,
Belfast BT97BL,
United Kingdom.
Email: k.farnsworth (at) qub.ac.uk
BSc. (Hons) Astrophysics, University of London 1984
MSc. Acoustics, Southampton, 1985;
PhD. Mathematical Biology, Edinburgh 1994
MSc. Public Health Epidemiology, Aberdeen 2002
Here is
a list of highlighted Publications
the full set is available on
Google Scholar
Please take a look at my
Research Team page.
Research Activity
There are two branches to my research: a) the biological theory
highlighted on the website this page is part of and b) the applied
science
of fisheries management.
What is Life?
The first is developing a general and
rigourous definition of the process of living and deriving ecological
consequences from this. It entails an explanation of how
living is the result of a nested
structure
of computations, the function of each being to make itself. This more
theoretical research is never the less intended to answer quite
practical questions such as: what is
biodiversity and how does it contribute to the ecological functions
upon which our lives ultimately depend and how can this be developed
into an objective valuation of the living environment. To answer such
questions, I believe we need rigourous definitions for living,
function, information and value, all of which ought to be quantifiable.
On the way to that and more deeply, I hope to contribute to the
fundamenatal understanding of what life is and why it is the way we
find it. The answers have big implications for questions about the
likelihood and nature of life throughout the universe and why and how
it developed on the Earth's surface. One of the hoped for side-effects
of this research is to unite biology with the physical sciences,
removing the schism which implies that biology violates physical laws,
allowing biology to be a natural extension of physics. In this view,
biological systems are a special case of physical systems, keeping
themselves far from thermodynamic equilibrium by converting energy from
low to high entropy states and perpetually creating and remodelling
themselves as embodied information is processed, created and retained.
It's just a suggestion, of course.
Sustainable Fisheries Management
The other branch of my work involves the application of ecological
theory to
practical problems of
current
real-life importance. A lot of it now
concerns fisheries science - vital work if we are to save the world's
fisheries from the global collapse for which many believe they are
heading. A major part of this work is pursued through European Union
and Irish
Government funding, previously :
An Ecosystem
Approach to Fisheries Management,
but also includes an Irish Science Foundation project and
two European Union FP7 consortium projects. In general, my team and I
are using a variety of theoretical approaches to find real-world
solutions to some of the major ecological problems that we face. This
work is also being used to create new theories of organism
distribution, predator-prey dynamics, life history, and evolution.
Applications to Global Food Security
We need to understand marine ecosystems a lot better to avoid
over-exploiting them.
My work, in collaboration with the Irish Marine Institute, Danish
Technical University and others, contributes to this by reinterpreting
predator-prey and competition dynamics in far more realistic terms than
previous models allowed. This is needed to provide a scientific
underpinning to the reform of fisheries management: one that takes
proper account of the complex dynamics of real marine food-webs. For
example, we are developing new ways to characterise and monitor the
'health' of fish communities in terms of population size and structure.
This has led to an explanation of how life-history of fish can be
changed by selective fishery and on the rate of evolutionary change
(for example, in the Baltic cod). Using size-structured community
models we are examining the quality of ecological indicators
for use in fisheries management and investigating interaction between
industrial ‘forage’ fisheries producing fishmeal
and premium ‘for the plate’ fisheries. We are
extending this work to address the highly topical problem of designing
and assessing spatial management such as 'closed areas' and other new
conservation measures in commercial fisheries and also to objectively
assess the interactions between large marine predators such as seals
and capture fisheries.
In a major collaboration, funded by
Science Foundation Ireland, with Prof David Reid
(Marine Institute, Ireland) and Dr Sarah Kraak (Thünen Intitut,
Germany), we are helping to devise an alternative to the stock quota
system of the Common Fisheries Policy. This alternative is the Real
Time Fisheries system, developed by Reid and Kraak (for which a
consortium project page can be found
here). The
project is called:
Creating the knowledge for precision
fisheries management: spatially aware "nudging" to achieve Maximum
Sustainable Yield using real-time fisheries incentives.
We aim for maximum productivity of commercial fisheries, constrained by
the law (including the Marine Strategy Framework Directive), ensuring
ecological sustainability. Paralleling precision farming, spatial
ecological data and models enable maximisation of fishing yield within
ecological constraints, to the finest possible spatial scale. This
project develops the scientific tools to support an incentive scheme
that guides fishers to achieve maximum sustainable yields, accounting
for ecological variability in time and space as well as stock
status. Using ecological data to calculate maps of real-time
incentives, leaves fishers free to determine their best spatial
distribution of effort to maximise profit sustainably.
Previous work under the Beaufort Award Scheme developed realistic
mathematical models of fish-communityies undergoing fishery
exploitation and used to calculate recovery times, sustainable yields,
interactions among fishery types and interactions with other marine
organisms, as well as developing an understanding of stakeholder
interests and their interactions (see list of publications for more
detail).