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Thorsten Wiegand (PhD Marburg University)
is a Senior Scientist at the Helmholtz Centre for Environmental Research
in Leipzig, and lecturer at the Escuela para Graduados
Faculdad de Agronomia - Universidad
de Buenos Aires.
Dr. Wiegand also serves as subject editor of Ecography and Oikos, and in the
editorial board of Landscape Ecology.
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Dr. habil. Thorsten Wiegand
Helmholtz Centre for Environmental
Research - UFZ
Department of Ecological Modelling
Permoserstr. 15
04318 Leipzig
Germany
Tel. +49 341 235 1714 (new phone number!!)
Fax: +49 341 235 1473 (new fax number!!)
e-mail: thorsten.wiegand@ufz.de |
Research interests
Over the last 20 years or so, we are witnessing a conceptual revolution
in the field of population biology and ecological modeling, which was stimulated
by the rapid development of advanced new scientific tools such and individual-based,
spatially explicit population models, and Geographic Information Systems
(GIS). There is much work to be done in developing our understanding of
the new "spatial ecology", and my research program is driven by an interest
in this topic. My mayor research interest are
-
understanding the long-term dynamics of semiarid
plant communities,
-
spatially explicit population viability analysis (PVA) of
large
carnivore populations,
-
integrating approaches of landscape ecology
and population modeling.
My primary goal are (1) to broaden the theory of population and community
ecology and to integrate them with landscape ecology to encompass an explicit
consideration of spatially distributed processes, and (2) to develop methods
to adapt models optimally for ecological applications, such as PVA. This
involves several complementary approaches:
-
development of
individual-based
and/or
spatially-explicit
simulation models as
experimental tools for studying the dynamics of populations or communities (Wiegand
et al. 1995,
1998a, 1998b,
1999,
2004,
2005,
2006),
-
development of a modeling strategy which facilitates the inclusion
of the biological information in an optimal way in a model (Wiegand et
al. 2004), the
pattern-oriented
modeling strategy (Grimm et al. 1996,
Wiegand et al.
2003;
Grimm et al. 2005), and
-
spatial
pattern analysis for characterizing pattern over a range of spatial
and temporal scales as a means of identifying critical, pattern forming
ecological processes (Wiegand and Moloney
2004,
Wiegand et al. 2006,
Wiegand et al.
2007 a,
b,
c).
Research projects
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just posted:
Hartig ,et al. 2011
Statistical inference for
stochastic simulations
models - theory and
application. Ecology Letters
Niggemann et al. 2011
Marked point pattern
analysis on genetic
paternity data for estimation
and uncertainty assessment
of pollen dispersal kernels.
Journal of Ecology
Martínez et al. 2011
Elucidating demographic
processes underlying tree
line patterns: a novel
approach to model selection
for individual-based models
using Bayesian methods
and MCMC.
American Naturalist
Raventós et al.
2010
Evidence for the spatial
segregation hypothesis: a
test with nine-year
survivorship data in a
Mediterranean fire-prone
shrubland show that
interspecific and density-
dependent
spatial
interactions dominate.
Ecology. 91:2110-2120
Bruggeman et al.
2010.
The relative effects of
habitat
loss and fragmentation on
population genetic structure.
Molecular
Ecology 19:
3679–3691
Wang et al. 2010
Species associations in an
old-growth temperate forest
in north-eastern
China.
J. Ecology 98: 674–68
Wiegand
et al. 2009
Recruitment in tropical tree
species: revealing complex
spatial patterns. The
American Naturalist 174:
E106
- E140
Revilla and Wiegand
2008
Individual movement
behavior, matrix
heterogeneity and the
dynamics of spatially
structured populations.
PNAS 105:19120-19125.
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