Journal of Applied Ecology,
Journal Year:
2016,
Volume and Issue:
54(1), P. 272 - 281
Published: July 26, 2016
Summary
Urban
sprawl
has
resulted
in
the
permanent
presence
of
large
mammal
species
urban
areas,
leading
to
human–wildlife
conflicts.
Wild
boar
Sus
scrofa
are
establishing
a
many
cities
Europe,
with
largest
German
population
occurring
Berlin.
Despite
their
relatively
long‐term
presence,
there
is
little
knowledge
colonization
processes,
dispersal
patterns
or
connectivity
Berlin's
populations,
hampering
development
effective
management
plans.
We
used
13
microsatellite
loci
genotype
387
adult
and
subadult
wild
from
four
forests,
adjacent
built‐up
areas
surrounding
rural
forests.
applied
genetic
clustering
algorithms
analyse
structure
boar.
approximate
Bayesian
computation
infer
boar's
history
city.
Finally,
we
assignment
tests
determine
origin
hunted
areas.
The
animals
three
forests
formed
distinct
clusters,
remaining
samples
all
being
assigned
one
population.
One
cluster
was
founded
by
individuals
another
rather
than
immigrants.
that
had
been
harvested
within
predominantly
area,
clusters.
Synthesis
applications
.
Our
results
likely
have
an
immediate
impact
on
strategies
for
board
populations
Berlin,
because
they
show
not
only
but
also
ongoing
source–sink
dynamics
between
It
therefore
essential
neighbouring
Federal
States
Berlin
Brandenburg
develop
common
hunting
plans
control
reduce
conflicts
Annals of the New York Academy of Sciences,
Journal Year:
2018,
Volume and Issue:
1429(1), P. 78 - 99
Published: Aug. 23, 2018
Abstract
Old
World
fruit
bats
(Chiroptera:
Pteropodidae)
provide
critical
pollination
and
seed
dispersal
services
to
forest
ecosystems
across
Africa,
Asia,
Australia.
In
each
of
these
regions,
pteropodids
have
been
identified
as
natural
reservoir
hosts
for
henipaviruses.
The
genus
Henipavirus
includes
Hendra
virus
Nipah
virus,
which
regularly
spill
over
from
domestic
animals
humans
in
Australia
a
suite
largely
uncharacterized
African
Rapid
change
bat
habitat
associated
shifts
their
ecology
behavior
are
well
documented,
with
evidence
suggesting
that
altered
diet,
roosting
habitat,
movement
behaviors
increasing
spillover
risk
bat‐borne
viruses.
We
review
the
ways
changing
resource
landscapes
affect
processes
culminate
cross‐species
transmission
henipaviruses,
host
density
distribution
within‐host
immunity
recipient
exposure.
evaluate
existing
highlight
gaps
knowledge
limiting
our
understanding
ecological
drivers
henipavirus
spillover.
When
considering
context
land‐use
change,
we
emphasize
it
is
especially
important
disentangle
effects
loss
provisioning
on
processes,
jointly
consider
changes
abundance,
quality,
composition.
Frontiers in Ecology and Evolution,
Journal Year:
2017,
Volume and Issue:
5
Published: Dec. 6, 2017
1
Introduction
The
landscape
of
fear
describes
an
animal's
trade-off
between
access
to
food
and
predator
avoidance
on
a
spatial
scale
(Brown
et
al.,
1999;Laundre
J.
W.
2010;Laundre
2014).
concept
includes
that
the
represents
relative
levels
predation
risk
as
peaks
valleys
reflect
level
in
different
parts
its
area
use
(Laundre
2010).
Disturbance
wildlife
by
people
is
particularly
frequent
urban
environments
can
exceed
disturbance
natural
predators.
It
therefore
has
potential
shape
prey
behavior
should
incite
such
(Frid
Dill,
2002;Ciuti
2012;Rosner
2014;Stoen
2015).
number
mammals
living
increases
(Bateman
Fleming,
2012;Magle
2012).
Hence,
support
provide
various
sources:
(Stillfried
2017b)
or
anthropogenic,
easily
accessible
(Cahill
2012;Murray
2015;Theimer
2015;Tryjanowski
2015),
both
which
contain
high
amount
energy
(Ottoni
2009;Maibeche
be
worse
than
rural
one
because
threat
with
human
proximity
per
se,
traffic
volume
additional
predators
domestic
dogs
other
companion
animals
2002;Baker
alKinney,
2002;Lowry
2013).
Urban
needs
perceive
spatio-temporal
variation
(Valeix
correspond
features
roads,
vehicle
pedestrian
(Dowding
2010;Bonnot
2013;Lowry
2013;Morelle
2013;Murray
St
Clair,
2015;Thurfjell
2015;Gray
2016),
sealed
built-up
areas
(=
density
housing
(Bonnot
2013;Magle
2014;Beninde
2016)
Animal Behaviour,
Journal Year:
2018,
Volume and Issue:
147, P. 91 - 104
Published: Dec. 18, 2018
Animal
personality
traits
and
the
emergence
of
behavioural
syndromes,
i.e.
between-individual
correlation
behaviours,
are
commonly
quantified
from
observations
in
controlled
environments.
Subjecting
large
elusive
wildlife
to
test
situations
is,
however,
rarely
possible,
suggesting
that
ecologists
should
exploit
alternative
measures
behaviours
for
quantifying
differences
between
individuals.
Our
goal
was
whether
movement
space
use
data
can
be
used
quantify
syndromes
wild.
We
six
GPS
dual
motion
sensor
tracking
devices
46
adult
female
brown
bears
followed
southcentral
Sweden
over
summer
early
autumn.
As
well
as
daily
travel
distance,
an
indicator
activity,
displacement,
exploration,
we
four
increase
a
bear's
likelihood
encountering
humans
could
thus
serve
indicators
boldness:
diurnality,
selection
roads
two
open
habitat
types,
bogs
clearcuts,
with
low
lateral
cover.
tested
(1)
showed
repeatable
variation
(animal
personality)
(2)
were
correlated
individuals
formed
syndrome.
Repeatability
ranged
0.16
0.61
confirming
movement,
activity
use.
A
multivariate
mixed
model
revealed
significant
positive
correlations
displacement
existence
activity–exploration
potentially
partial
boldness
syndrome
our
bear
population.
Selection
exposed
or
human-frequented
habitats
uncorrelated
each
other,
albeit
there
trend
stronger
road
avoidance
by
readily
clearcuts.
show
sets
spatial
behaviours.
suggest
delineating
types
will
increasing
interest
because
importance
animal
ecological
processes,
conservation
human–wildlife
coexistence.
Journal of Applied Ecology,
Journal Year:
2016,
Volume and Issue:
54(1), P. 272 - 281
Published: July 26, 2016
Summary
Urban
sprawl
has
resulted
in
the
permanent
presence
of
large
mammal
species
urban
areas,
leading
to
human–wildlife
conflicts.
Wild
boar
Sus
scrofa
are
establishing
a
many
cities
Europe,
with
largest
German
population
occurring
Berlin.
Despite
their
relatively
long‐term
presence,
there
is
little
knowledge
colonization
processes,
dispersal
patterns
or
connectivity
Berlin's
populations,
hampering
development
effective
management
plans.
We
used
13
microsatellite
loci
genotype
387
adult
and
subadult
wild
from
four
forests,
adjacent
built‐up
areas
surrounding
rural
forests.
applied
genetic
clustering
algorithms
analyse
structure
boar.
approximate
Bayesian
computation
infer
boar's
history
city.
Finally,
we
assignment
tests
determine
origin
hunted
areas.
The
animals
three
forests
formed
distinct
clusters,
remaining
samples
all
being
assigned
one
population.
One
cluster
was
founded
by
individuals
another
rather
than
immigrants.
that
had
been
harvested
within
predominantly
area,
clusters.
Synthesis
applications
.
Our
results
likely
have
an
immediate
impact
on
strategies
for
board
populations
Berlin,
because
they
show
not
only
but
also
ongoing
source–sink
dynamics
between
It
therefore
essential
neighbouring
Federal
States
Berlin
Brandenburg
develop
common
hunting
plans
control
reduce
conflicts