New Mathematical Model Predicts Ecological Invasion, Explains How Invasive Species Thrive
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| Gyorgy Korniss photo by Thomas
Griffin. |
Researchers at Rensselaer and the University at Albany have
proposed a new mathematical model that predicts the survival of
invasive biological species upon introduction to an ecosystem.
The model analyzes the struggle for space between clusters of
invasive species and native species to predict which species
will survive.
According to Gyorgy Korniss, assistant professor of physics at
Rensselaer, a predictive understanding of the ecological
invasion process should lead to better techniques in preventing
the proliferation of invasive species such as milfoil. A
submerged aquatic weed that invades lakes, ponds, and
reservoirs, milfoil often restricts natural water flow, clogs
water intakes, and eliminates native species from
ecosystems.
"This new model explains what happens when invasive and
resident species are competing for space and how the invasion
process evolves over time," said Korniss. "We have shown that
it is possible to quantitatively predict the lifetime of
invasive and native species based on analysis of the species'
cluster patterns."
Korniss collaborates with Thomas Caraco, associate professor
of biological sciences at University at Albany, on the project,
which has also benefited from contributions by Rensselaer
graduate student Lauren O'Malley (physics), Rensselaer
undergraduate student Joseph Yasi (computer science, physics),
and UAlbany undergraduate student Andrew Allstadt (biology,
computer science). The work was supported by the National
Science Foundation (NSF). "Our collaboration offers students a
perspective to better prepare them for scientific careers that
increasingly require an integration of disciplines," said
Caraco.
The research findings were reported in the March 7 issue of
Journal of Theoretical Biology in a paper titled
"Spatial Dynamics of Invasion: The Geometry of Introduced
Species."
To approach this biological problem from a computational
perspective, researchers applied statistical physics to complex
ecosystems. The researchers predicted the invading species'
population growth in time based on its spatially distributed
cluster patterns by applying the theory of nucleation.
Nucleation theory has been used to explain growth processes
such as crystal growth, magnetic domain formation, and DNA
replication.
Korniss said that additional research will combine spatial
elements of species growth with more complicated temporal
elements. "The next step in our research is to further develop
the model to explain how the change of seasons affects the
probability of an invasive species' survival," he said.
Published
March 14,
2005
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