Ecology and Society,
Journal Year:
2023,
Volume and Issue:
28(3)
Published: Jan. 1, 2023
The
application
of
empirical
and
spatially
explicit
information
to
understand
the
spatial
distribution
human–wildlife
conflict
(HWC)
risk
zones
is
increasingly
becoming
imperative
guide
conservation
planning
device
mechanisms
enhance
sustain
coexistence
between
wildlife
humans.
Spatial
on
HWC
scarce
in
literature,
previous
studies
have
tended
concentrate
more
human
dimensions
HWC.
Although
normally
applied
studies,
species
modeling
(SDM)
an
indispensable
tool
predict
visualize
potential
for
In
this
study,
we
used
maximum
entropy
(MaxEnt),
a
presence-only
SDM
determine
ecological
variables
that
significantly
explain
occurrences
around
Gonarezhou
National
Park
(GNP)
southeastern
Zimbabwe.
Our
results
show
are
not
randomly
distributed
but
tend
be
concentrated
along
areas
adjacent
protected
support
overlaps
contacts
landscapes.
A
distinctive
high-risk
zone
observed
north
GNP,
such
as
Chitsa,
Mpinga,
Masekesa—communities
should
prioritized
proactive
mitigation
interventions.
view
limited
resources
typical
less
developed
countries,
managers
pressed
explicitly
with
highest
risks
effective
targeted
Findings
from
study
thus
provide
crucial
baseline
identifying
potentially
main
predictors,
knowledge
can
streamlined
resource
allocation
mitigate
challenge.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
81, P. 102643 - 102643
Published: May 17, 2024
Human-wildlife
conflict
has
become
a
major
challenge
to
conservation
efforts
around
the
world.
Brown
bears
(Ursus
arctos),
which
globally
suffer
from
reduced
habitat
suitability
and
quality,
frequently
with
humans.
These
animals
need
large
home
ranges
fulfil
their
requirements.
When
space
food
are
restricted,
brown
shift
towards
human-dominated
landscapes
that
offer
reliable
sources.
Türkiye,
country
predominantly
landscapes,
experiences
frequent
human-brown
bear
conflicts
(HBCs).
However,
there
been
no
formal
analysis
of
nature
scope
these
at
level.
Using
HBC
data
2017
2022,
we
analyzed
spatial
temporal
dynamics
events
in
Turkey,
constructing
risk
map
based
on
anthropogenic
variables
geographic
profiling
identify
driving
forces.
did
not
show
any
annual
or
seasonal
trends
but
displayed
considerable
variation
across
biogeographic
regions,
highest
incidence
concentrated
along
Black
Sea
coast
Eastern
Anatolia.
Sixty
percent
all
were
due
foraging
behavior
near
human
settlements
while
12
%
result
activity
forests,
57%
resulting
direct
injury
either
humans
bears.
Our
analyses
showed
proximity
villages,
protected
areas,
farmland,
footprint
be
pivotal
factors
influencing
risk.
Approximately
21%
country's
territory
is
susceptible
human-bear
conflicts,
substantial
portion
(43%)
risks
manifesting
within
10-km
radius
areas.
In
conclusion,
our
findings
suggest
high
occurrence
HBCs
Türkiye
primarily
stems
limited
availability
natural
habitats
resources
for
bears,
compounded
by
increased
encroachment
core
habitats.
PeerJ,
Journal Year:
2020,
Volume and Issue:
8, P. e9544 - e9544
Published: July 24, 2020
Lethal
measures
are
widely
adopted
by
local
communities
and
governments
to
manage
human-wildlife
conflicts.
Such
lead
large
scale
decline
of
carnivore
populations
globally
with
trophic
cascades
on
ecosystems
questionable
impacts
Mitigating
human-carnivore
conflicts
through
non-lethal
will
protect
endangered
predators
secure
livelihoods.
However,
information
the
effectiveness
such
extremely
limited
hence
cannot
be
applied
in
developing
scientific
evidence.
Further
develop
coexistence
models,
it
is
important
for
community
members,
biologists
wildlife
managers
actively
participate
conservation
programs.
We
evaluated
response
a
visual
deterrent
(i.e.
fox
lights)
deter
leopard
attacks
livestock
within
multiple-use
landscape
western
Himalaya
engagement.
monitored
16
experimental
sites
17
control
27
villages
recorded
data
depredation
leopards
between
April
2018
2019.
A
multivariate
analysis
was
conducted
determine
influence
predictors
animal
husbandry
practices
vicinity
human
settlements.
found
that
deterrents
discouraged
common
predate
(cows
goats).
also
demonstrated
based
initiatives
successful
mitigating
semi-natural
landscapes.
suggest
site
specific
strategies
adopting
safeguard
carnivores,
humans
shared
Frontiers in Conservation Science,
Journal Year:
2021,
Volume and Issue:
2
Published: July 6, 2021
Management
strategies
to
reduce
human-carnivore
conflict
are
most
effective
when
accepted
by
local
communities.
Previous
studies
have
suggested
that
the
acceptance
depends
on
emotions
toward
carnivores,
cultural
importance
of
and
livestock
depredation,
it
may
vary
depending
types
carnivores
involved.
However,
no
study
so
far
considered
these
factors
simultaneously
compare
their
influence
management
strategies.
We
quantified
predictive
potential
three
frequently
applied
mitigate
conflict:
action,
relocation,
lethal
control.
interviewed
100
members
Maasai
community
in
Ngorongoro
Conservation
Area
Tanzania.
used
structured,
closed
questionnaires
focused
large
involved
depredation
regionally:
spotted
hyenas
(
Crocuta
crocuta
),
lions
Panthera
leo
leopards
pardus
).
found
majority
respondents
action
rejected
relocation
control
for
all
carnivores.
The
was
strongly
influenced
emotion
joy
effects
were
stronger
than
effect
depredation.
conclude
authorities
should
evaluate
communities
associate
with
seeking
gain
account
differences
between
species.
Finally,
we
recommend
future
coexistence
consider
socio-psychology
be
done
longitudinally
detect
shifts
cultural,
emotional,
ecological
over
time.
Ecology and Society,
Journal Year:
2023,
Volume and Issue:
28(3)
Published: Jan. 1, 2023
The
application
of
empirical
and
spatially
explicit
information
to
understand
the
spatial
distribution
human–wildlife
conflict
(HWC)
risk
zones
is
increasingly
becoming
imperative
guide
conservation
planning
device
mechanisms
enhance
sustain
coexistence
between
wildlife
humans.
Spatial
on
HWC
scarce
in
literature,
previous
studies
have
tended
concentrate
more
human
dimensions
HWC.
Although
normally
applied
studies,
species
modeling
(SDM)
an
indispensable
tool
predict
visualize
potential
for
In
this
study,
we
used
maximum
entropy
(MaxEnt),
a
presence-only
SDM
determine
ecological
variables
that
significantly
explain
occurrences
around
Gonarezhou
National
Park
(GNP)
southeastern
Zimbabwe.
Our
results
show
are
not
randomly
distributed
but
tend
be
concentrated
along
areas
adjacent
protected
support
overlaps
contacts
landscapes.
A
distinctive
high-risk
zone
observed
north
GNP,
such
as
Chitsa,
Mpinga,
Masekesa—communities
should
prioritized
proactive
mitigation
interventions.
view
limited
resources
typical
less
developed
countries,
managers
pressed
explicitly
with
highest
risks
effective
targeted
Findings
from
study
thus
provide
crucial
baseline
identifying
potentially
main
predictors,
knowledge
can
streamlined
resource
allocation
mitigate
challenge.