Assessing changes in the ecosystem service value in response to land use and land cover dynamics in Malawi
Environmental Monitoring and Assessment,
Год журнала:
2024,
Номер
196(8)
Опубликована: Июль 17, 2024
Язык: Английский
Body Condition of Translocated African Elephants (Loxodonta Africana) in a Semi-Arid Environment: Effects of Seasonality, Age-Sex, and Management Interventions
Опубликована: Янв. 1, 2025
Язык: Английский
Global positioning system (GPS) collar data shows variations in distribution, ranging area and habitat selection of the African savannah elephant in a semi-arid protected area
Sustainable Environment,
Год журнала:
2025,
Номер
11(1)
Опубликована: Фев. 24, 2025
Язык: Английский
Predicting Land Use and Land Cover Changes in the Chindwin River Watershed of Myanmar Using Multilayer Perceptron-Artificial Neural Networks
Land,
Год журнала:
2024,
Номер
13(8), С. 1160 - 1160
Опубликована: Июль 29, 2024
This
study
investigates
the
potential
anthropogenic
land
use
activities
in
114,000-km2
Chindwin
River
Watershed
(CRW)
northwestern
Myanmar,
a
biodiversity
hotspot.
research
evaluates
current
and
future
scenarios,
particularly
focusing
on
areas
that
provide
ecosystem
services
for
local
communities
those
essential
conservation.
Remote
sensing
geographical
information
systems
were
employed
to
evaluate
changes
CRW.
We
used
supervised
classification
approach
with
random
tree
generate
cover
(LULC)
classifications.
calculated
percentage
of
change
LULC
from
2010
2020
projected
scenarios
approximately
2030
2050.
The
accuracy
maps
was
validated
using
Cohen’s
Kappa
statistics.
multilayer
perceptron
artificial
neural
network
(MLP-ANN)
algorithm
utilized
predict
LULC.
Our
found
human
settlements,
wetlands,
bare
have
increased
while
forest
has
declined.
area
covered
by
settlements
(0.36%
total
2000)
is
increase
264
km2
2000
424
also
revealed
connections
other
categories,
indicating
transformation
into
types.
predicted
until
2050
reflects
impacts
urbanization,
population
growth,
infrastructure
development
Язык: Английский
Innovative Geographic Information Science (GIS) and Remote Sensing Tools for Modelling the Ranging Behaviour and Habitat Dynamics of the African Savannah Elephant (Loxodonta africana) in Mesic Protected Areas
African Journal of Ecology,
Год журнала:
2024,
Номер
62(4)
Опубликована: Дек. 1, 2024
ABSTRACT
Transboundary
wildlife
species
like
the
African
savannah
elephant
(
Loxodonta
africana
)
requires
a
comprehensive
regional
approach
to
monitoring
and
effective
conservation.
This
thorough
understanding
of
their
ecology,
ranging
behaviour
distribution
suitable
habitats.
In
diverse
landscapes,
management
conservation
are
critical,
particularly
in
dry
protected
areas
where
water
food
resources
limited.
The
use
innovative
Geographic
Information
Science
(GIS)
remote
sensing
tools
is
revolutionising
habitat
dynamics
elephant.
When
adopting
GIS
tools,
park
managers
conservationists
must
remember
that:
(i)
has
determinate
movement
pattern
clusters
around
dominant
vegetation
types,
(ii)
soil‐adjusted
index
(SAVI)
performs
better
relative
other
indices
modelling
arid
areas,
(iii)
cellular
automata–artificial
neural
network
(CA‐ANN)
robust
technique
future
(iv)
landscapes
or
environments
near
points
significantly
utilised
by
performance
usually
far
from
piosphere,
(v)
significant
difference
size
home
ranges
selection
mostly
influenced
type
seasonal
variations
resources,
(vi)
hyperslender
stems
forest
gaps
confirms
minimal
damage
dominated
(satellite
data
evidence
high
tree
regeneration)
(vii)
dynamic
Brownian
Bridge
Movement
Model
(dBBMM)
smart
for
range
utilisation
construction
different
zones.
Язык: Английский