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Research interests
The influence of weather on bird flight
The
phenomenon of
migration is truly fantastic and one that awakens a desire to
understand, if only a little, this spectacular phenomenon. A
wide variety of exogenous factors influence bird behavior and
specifically bird migration. These
factors
and their affect may differ between species, within species, between
seasons, regions etc., creating a complex network of variables
influencing a bird’s course of migration.
One of my primary research
interests is how birds are
influenced by and adapt to atmospheric dynamics at different
scales in time and space, from boundary layer dynamics to synoptic
systems. Weather,
for example,
can affect the
timing,
intensity, speed, route and altitudes of migration.
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Left:
Motorized glider tracking
a flock of white pelicans along the Samarian Mountains, Israel Spring
2000 (photograph Moni Aramati). Right:
Temporal distribution of modeled thermal convection and measured
flight altitudes (dark line) of one White Stork flock in Israel on 12
April 1987. Grey
section represents
proportion of thermal depth where 78% of observed maximum flight
altitudes are predicted (0.41-1.0 thermal depth), filled area
represents
topography. |
By
nature,
studying the relationship between external factors, such as
meteorological conditions, and avian flight dynamics is
multidisciplinary, encompassing fields such as
ornithology, meteorology, physical geography and computer sciences,
using both new and old technologies for data collection and analysis. My work often requires the
application of these models and results to create predictions. However,
not only do I find the interpretation of research results exciting but
the process itself;
participating in interdisciplinary research spanning several fields
which requires a broader view of the research subject and integrating a
diverse network of data sources, including visual observations, radar
Ornithology, and satellite telemetry.
Current
research themes
- The influence of meteorological conditions on avian flight
(soaring migration, active migration, local movements, flight
strategies)
- Simulation modelling of bird migration (soaring migration, waders,
passerines)
- Individual variation in foraging movements
Bird strike prevention
Bird
strikes cause damage
costing billions of US dollars a year to civil and military aviation
around the world as well as the incalculable loss of lives. Bird
strike prevention programs and policies around the world are based on
a wide variety of resources, including bird strike statistics, expert
knowledge of bird behavior, impact studies, non-expert experience, etc. Applying scientific
research to bird strike
prevention is a unique challenge. Models need to be reliable and yet
general enough to cover a wide range of situations in order to be
beneficial to flight safety. In
addition,
research proposals and even results need to be marketed to potential
users, which is often an expertise in and of itself. However,
the main goal and challenge is to be able to apply scientific research
results
to real-time situations in order to save lives. My
ongoing applied work in the field of bird strike prevention
encompasses modelling bird numbers or movements at
different scales as well as the
microscopic identification of bird feathers and mammal hairs and the
use
of this data in bird strike statistics. I have been centrally
involved in the
development of the Netherlands Bird
Avoidance Model. The main aim of the NL-BAM
is to predict the 3D + time distribution of birds in the Netherlands. These predictions are now used as a
decision support
tool to improve flight safety in the Royal Netherlands Air
Force. My flight safety activities have recently expanded
through the European Space Agency's FlySafe project,
where a multidisciplinary team is developing a system integrating space
and non-space based technologies to improve flight safety in
Belgium and the Netherlands.
Publications
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Bowlin, M. S.,
Bisson, I.-A., Shamoun-Baranes, J., Reichard, J. D., Sapir, N., Marra,
P. P., Kunz, T. H., Wilcove, D. S., Hedenstrom, A., Guglielmo, C. G.,
Akesson, S., Ramenofsky, M. & Wikelski, M. 2010. Grand Challenges in
Migration Biology. Integrative and Comparative Biology, icq013. (online
@) (pdf)
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Shamoun-Baranes, J., Bouten, W. & van Loon, E. E. 2010. Integrating
meteorology into research on migration. Integrative and Comparative
Biology, icq 011 (online
@) (pdf).
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Shamoun-Baranes, J., J. Leyrer, E. van
Loon, P. Bocher, F. d. r. Robin, F. Meunier and T. Piersma.
2010. Stochastic atmospheric assistance and the use of emergency
staging sites by migrants. Proceedings of the Royal Society B 277:
1505-1511 (online
@) (pdf)
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Robinson,D., M.S. Bowlin, I. Bisson, J.
Shamoun-Baranes, K. Thorup, R.H. Diehl, T.H. Kunz, S. Mabey, D.W.
Winkler.in press. Integrating
concepts and technologies to advance the
study of bird migration. Frontiers in Ecology and the Environment.
e-View. (pdf)
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Shamoun-Baranes, J., W. Bouten, L. Buurma, R.
DeFusco, A. Dekker, H. Sierdsema, F. Sluiter, J. Van Belle, H. Van
Gasteren and E. van Loon. 2008. Avian Information Systems: Developing Web-Based Bird Avoidance Models.
Ecology and Society 13 (2): 38.(online@) (pdf)
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van Gasteren, H., I. Holleman,
W. Bouten, E.
van Loon, and J.
Shamoun-Baranes. 2008. Extracting bird migration information from
C-band Doppler weather radars. Ibis 150, 674-686. (online @) (pdf)
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van
Belle, J., J. Shamoun-Baranes,
E. van Loon,
W. Bouten. 2007. An
operational model predicting
autumn bird migration
intensities for flight safety. Journal of Applied Ecology 44: 864-874. (online
@)
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Shamoun-Baranes,
J.,
E. van Loon, F. Liechti and W. Bouten. 2007. Analyzing the effect of
wind on flight: Pitfalls and solutions. Journal of Experimental Biology
210:82-90. (online
@)
-
Shamoun-Baranes,
J., E. van Loon, D. Alon,
P. Alpert, Y. Yom-Tov and Y. Leshem. 2006.
Is there
a connection between weather at departure sites, onset of
migration and timing of soaring bird autumn migration in
Israel?
Global Ecology and Biogeography 15: 541-552. (online @
&
cover)
-
Shamoun-Baranes,
J. and E. van Loon. 2006. Energetic influence on gull flight strategy
selection. Journal of Experimental Biology 209: 3489-3498. (online
@)
-
Shamoun-Baranes,
J., van Gasteren, H., van Belle, J. van Loon, E., Bouten, W., and
Buurma,
L. 2006. A
comparative analysis of the influence of weather on the flight
altitudes of
birds. Bulletin of the Amercian
Meteorological Society 87: 47-61. (available
online @ AMS)
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Shamoun-Baranes,
J., W. Bouten, J. van Belle, L. Buurma and H. van Gasteren. 2005. Flight
altitudes of birds. Bulletin of the
Amercian
Meteorological Society 86: 18-19 (invited
summary).
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Alon,
D., Granit, B., Shamoun-Baranes, J., Leshem, Y., Kirwan, G. M., and H.
Shirihai. 2004. A
decade of autumn soaring bird migration
over northern Israel,
1990–1999.
British
Birds 97: 160-182.
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Shamoun-Baranes,
J., Leshem,
Y., Yom-Tov, Y. and O. Liechti. 2003. Differential use of thermal
convection by soaring birds over central Israel. Condor
105:208-218. (pdf)
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Shamoun-Baranes,
J.,
Baharad, A., Alpert, P., Berthold, P., Yom-Tov, Y., Dvir, Y. and Y. Leshem. 2003. The
effect of wind, season
and
latitude on the migration speed of White Storks (Ciconia
ciconia),
along the eastern migration route.
Journal of Avian Biology 34: 97-104. (pdf)
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Shamoun-Baranes,
J., Liechti, O., Yom-Tov, Y. and
Y. Leshem. 2003. Using
a convection model
to predict altitudes of white stork migration over central Israel. Boundary Layer Meteorology
107: 673-681. (pdf)
last
updated April 2010
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