Addressing Human–Elephant Conflicts in Taita Taveta County, Kenya: Integrating Species Distribution Modeling into Targeted Conservation Strategies
Tino Johansson,
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Martha Munyao,
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Petri Pellikka
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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,
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Priyambada Routray,
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A. Udhayan
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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
Should elephants graze or browse? The nutritional and functional consequences of dietary variation in a mixed-feeding megaherbivore
Hansraj Gautam,
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Fabio Berzaghi,
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M. Thanikodi
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et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 15, 2024
ABSTRACT
Unlike
specialist
browsers
and
grazers,
the
diets
of
mixed-feeding
megaherbivores
like
elephants
are
complex
broad,
comprising
numerous
plant
species
variable
nutritional
quality.
Here,
we
revisit
an
unresolved
debate
on
whether
browse
is
more
nutritious
than
grasses
for
elephants,
as
thought
to
have
greater
crude
protein
content.
We
first
analyzed
carbon
isotopes
in
102
fecal
samples
Asian
quantify
contribution
browsing
grazing
their
diet
Nagarahole
National
Park,
southern
India.
show
that
predominantly
grass-scarce
forests,
contrast
with
predominant
reported
nearby
grass-abundant
savannas
Nilgiri
Biosphere
Reserve.
then
compared
forage
quality
high-browsing
high-grazing
by
analyzing
these
two
proxies
content
(CP):
nitrogen
(N%)
Carbon-to-Nitrogen
ratio
(C:N).
Interestingly,
did
not
higher
N%
or
lower
C:N
(proxies
high
CP)
low-browsing
(high-grazing)
diets.
To
explore
generality
this
finding,
differences
(i.e.,
CP
fibre
values)
between
grass
across
141
consumed
elephants.
woody
non-legume
browse,
which
major
components
elephant
do
appreciably
grasses.
Our
findings
suggest
broadly
similar
value
such
bulk-feeding
mixed
feeders.
Finally,
based
observed
habitat-wide
variation
browsing,
provide
a
new
framework
assessing
how
shape
vegetation
forests
Asia,
important
implications
conservation
cycling.
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,
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Martha Munyao,
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Petri Pellikka
No information about this author
et al.
Published: Jan. 1, 2024
Language: Английский