Addressing Human–Elephant Conflicts in Taita Taveta County, Kenya: Integrating Species Distribution Modeling into Targeted Conservation Strategies
Tino Johansson,
No information about this author
Martha Munyao,
No information about this author
Petri Pellikka
No information about this author
et al.
Global Ecology and Conservation,
Journal Year:
2025,
Volume and Issue:
unknown, P. e03604 - e03604
Published: April 1, 2025
Language: Английский
Data-Driven Insights into Human–Gaur Conflicts: Spatiotemporal Trends and Risk Mapping Across Tamil Nadu, India
Thekke Thumbath Shameer,
No information about this author
Priyambada Routray,
No information about this author
A. Udhayan
No information about this author
et al.
Published: May 15, 2025
Abstract
Human–wildlife
conflict
(HWC)
is
one
of
the
most
pressing
conservation
challenges,
particularly
in
shared
landscapes
where
humans
and
wildlife
are
adversely
affected.
Despite
various
mitigation
efforts
globally,
frequency
HWC
continues
to
rise.
Among
conflict-prone
species,
Indian
gaur
(Bos
gaurus)
has
increasingly
been
involved
such
interactions
across
southern
India.
To
support
development
long-term
strategies
for
Human–Gaur
Conflict
(HGC),
we
conducted
a
comprehensive
study
using
data
collected
from
compensation
records
48
forest
divisions
Tamil
Nadu
between
2016
2024.
We
analyzed
spatial
temporal
trends,
predicted
risk
zones
ensemble
modeling,
identified
key
drivers
influencing
HGC.
Our
findings
reveal
that
intensity
was
highest
Nilgiri
division,
followed
by
Dharmapuri
Kodaikanal.
Crop
damage
predominant
type,
human
injuries,
with
incident
peaks
observed
during
December
March.
Elevation
emerged
as
influential
predictor
models,
clear
positive
correlation
showing
increased
rising
elevation.
The
model
also
18,335
km²
state
falls
under
zones,
accounting
approximately
14.1%
Nadu's
total
geographical
area.
This
provides
critical
insights
into
ecology
HGC
highlights
utility
predictive
modeling
identifying
high-risk
zones.
outcomes
can
inform
conservationists
managers
designing
implementing
proactive
measures,
especially
areas
have
high
likelihood
future
conflict.
Language: Английский
Unveiling the Hidden Causes: Identifying the Drivers of Human–Elephant Conflict in Nilgiri Biosphere Reserve, Western Ghats, Southern India
Animals,
Journal Year:
2024,
Volume and Issue:
14(22), P. 3193 - 3193
Published: Nov. 7, 2024
Since
the
human
population
is
growing
beyond
earth's
ability
to
sustain
it,
more
people
are
being
brought
into
contact
with
wildlife,
leading
increasing
human-wildlife
conflict.
The
Asian
elephant,
a
wide-ranging
megaherbivore,
increasingly
threatened
by
human-elephant
conflict
[HEC].
Its
conservation
depends
on
identifying
causes
of
HEC
and
implement
measure
mitigate
effectively.
We
studied
drivers
among
five
forest
divisions
in
Western
Ghats,
India,
that
support
high
density
elephants
across
Asia.
Comparing
last
six
years'
data
26
ecological
covariates
GLMM
framework,
we
identified
spatiotemporal
variations
crop,
property
damages
casualties.
Spatially,
was
highest
territorial
division
lowest
those
declared
as
Protected
Areas
earlier.
comparison
crop
damage
showed
decreased
grass
biomass
index,
elephant
density,
extent
dry-thorn,
deciduous
habitats,
range
area,
while
it
increased
adult
male
%
perimeter.
Similarly,
frequency
settlement/cultivation
but
biomass,
habitat
area.
Human
casualties
due
damage,
ambient
temperature,
perimeter,
biomass.
Overall,
decrease
increase
settlement
perimeter
indicate
anthropogenic
pressure
decreases
degrades
likely
root
cause
HEC,
minimizing
would
reduce
overall
HEC.
Language: Английский
Assessment of Multiple Model Algorithms and an Ensemble Model to Predict Human–Elephant Conflict in Taita Taveta County, Kenya: Implications for Conservation
Tino Johansson,
No information about this author
Martha Munyao,
No information about this author
Petri Pellikka
No information about this author
et al.
Published: Jan. 1, 2024
Language: Английский