Ungulates conservation in the face of human development: Mining and roads' influences on habitat and connectivity in Iran's central plateau
Ecological Informatics,
Год журнала:
2024,
Номер
81, С. 102656 - 102656
Опубликована: Май 29, 2024
Язык: Английский
Climate‐Driven Range Shifts and Conservation Challenges for Brown Bears in Türkiye
Ecology and Evolution,
Год журнала:
2025,
Номер
15(4)
Опубликована: Апрель 1, 2025
ABSTRACT
Understanding
the
current
and
future
distribution
of
wildlife
species
is
crucial
for
effective
conservation
planning,
particularly
in
face
climate
change
increasing
anthropogenic
pressures.
This
study
aims
to
assess
potential
brown
bears
across
Türkiye
both
presently,
by
2050
2070,
considering
various
scenarios,
evaluating
habitat
vulnerability,
reassessing
effectiveness
protected
areas.
Using
an
ensemble
forecasting
approach,
we
modeled
bears'
suitability,
incorporating
608
occurrence
records
along
with
bioclimatic,
topographic,
predictors
under
scenarios.
Our
model
estimates
that
approximately
17.3%
(135,556
km
2
)
currently
offers
suitable
highest
suitability
found
Euro‐Siberian
(46%),
Irano‐Turanian
(43%),
Mediterranean
(11%)
biogeographic
regions.
The
results
indicate
combined
pressures,
expected
reduce
bear
40%–48%
2050,
40%–67%
2070
A
significant
contraction
range,
a
northward
shift
habitats,
projected,
reflecting
broader
impacts
climate.
Additionally,
habitats
estimated
be
strongly
influenced
changes
altitude.
proportion
protection
projected
decline
from
21.4%
15%–16.1%
further
11.3%–15.9%
depending
on
scenario.
These
findings
highlight
need
targeted
strategies
address
emerging
gap
Mediterranean,
Irano‐Turanian,
Enhancing
connectivity
between
fragmented
status
areas
are
critical
actions
safeguard
population
Türkiye.
underscores
pressing
challenges
strategic
opportunities
securing
Язык: Английский
A case for human mobility data applications in wildlife management
Journal of Applied Ecology,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 29, 2025
Abstract
Human
activities
have
significantly
altered
terrestrial
ecosystems,
leading
to
biodiversity
loss
and
habitat
fragmentation.
Traditional
methods
for
measuring
human
impacts
often
lack
the
precision
required
localized
assessments,
fail
capture
temporal
dynamics
or
are
scale‐limited.
mobility
data
(HMD)
from
GPS‐enabled
smartphone
applications
offers
a
valuable
approach
understanding
movement
patterns,
overcoming
many
of
these
limitations.
We
present
case
studies
demonstrating
use
HMD
in
assessing
activity
within
ecologically
sensitive
habitats
(e.g.
winter
ranges
breeding
grounds)
evaluating
where
human‐wildlife
interactions
likely
occur
inform
proactive
conflict
management.
also
discuss
how
can
improve
inference
connectivity
analyses
provide
detailed,
timely
insights
on
broadly
support
conservation
wildlife
management
goals.
revealed
patterns
recreational
bighorn
sheep
(
Ovis
canadensis
)
range
helped
timing
scope
protective
measures
sheep.
allowed
us
quantify
frequency
potential
wildlife‐human
interactions,
such
as
cougar
Puma
concolor
proximity
activity,
identifying
high
areas
opportunities
mitigate
mortality
risks
road
crossings).
discussed
future
uses
connectivity,
allowing
managers
assess
barriers
movement,
identify
critical
thresholds
disturbance
refine
strategies
mitigating
species
disturbance.
provided
simple
example
by
highlighting
differences
migration
corridor
pronghorn
Antilocapra
americana
).
Synthesis
.
provides
transformative
tool
offering
scalable,
dynamic
into
that
traditional
cannot
fully
capture.
These
enable
prioritize
intervention
areas,
compliance
with
zones,
risks,
enhance
species,
supporting
effective
human‐dominated
world.
Язык: Английский
Evaluation of Spatial Distribution Pattern of Brown Bear (<i>Ursus arctos</i>) in Northern Primitive Forest Region of Inner Mongolia
International Journal of Ecology,
Год журнала:
2025,
Номер
14(02), С. 162 - 170
Опубликована: Янв. 1, 2025
Язык: Английский
Trophic Interactions Are Key to Understanding the Effects of Global Change on the Distribution and Functional Role of the Brown Bear
Global Change Biology,
Год журнала:
2025,
Номер
31(6)
Опубликована: Июнь 1, 2025
ABSTRACT
Biotic
interactions
are
expected
to
influence
species'
responses
global
changes,
but
they
rarely
considered
across
broad
spatial
extents.
Abiotic
factors
thought
operate
at
larger
scales,
while
biotic
factors,
such
as
species
interactions,
more
important
local
scales
within
communities,
in
part
because
of
the
knowledge
gap
on
large
(i.e.,
Eltonian
shortfall).
We
assessed,
a
continental
scale,
(i)
importance
through
food
webs,
distributions,
and
(ii)
how
under
scenarios
climate
land‐use
change
may
affect
distribution
brown
bear
(
Ursus
arctos
).
built
highly
detailed,
spatially
dynamic,
empirically
sampled
web
based
energy
contribution
276
from
different
taxa
(plants,
vertebrates,
invertebrates)
their
ensemble
habitat
models
high
resolution
Europe.
Then,
combining
predicted
species,
we
modelled
space
included
these
layers
Bayesian‐based
The
inclusion
considerably
improved
our
understanding
(continental)
compared
with
Bayesian
including
only
abiotic
(climate
land
use).
Predicted
future
range
shifts,
which
changes
varied
greatly
when
considering
various
providing
warning
that
indirect
likely
have
strong
uncertain
impacts
biogeography.
Our
study
confirmed
advancing
ecological
networks
will
improve
projections
biodiversity
change,
especially
for
modelling
distributions
functional
role
scenarios,
is
key
effective
conservation
ecosystem
services.
Язык: Английский
MaxEnt-Based Habitat Suitability Assessment for Vaccinium mandarinorum: Exploring Industrial Cultivation Opportunities
Forests,
Год журнала:
2024,
Номер
15(12), С. 2254 - 2254
Опубликована: Дек. 22, 2024
Vaccinium
mandarinorum
Diels,
a
wild
blueberry
species
distributed
in
the
south
of
Yangtze
River
China,
holds
significant
ecological
and
commercial
value.
Understanding
its
potential
distribution
response
to
climate
change
is
crucial
for
effective
resource
utilization
scientific
introduction.
By
using
Maximum
Entropy
(MaxEnt)
model,
we
evaluated
V.
mandarinorum’s
under
current
(1970–2000)
future
scenarios
(2041–2060,
2061–2080,
2081–2100)
based
on
216
modern
records
seven
bioclimatic
variables.
The
results
showed
that
MaxEnt
model
could
effectively
simulate
historical
suitability
degree
mandarinorum.
top
two
major
environmental
variables
were
precipitation
driest
quarter
annual
precipitation,
considering
their
contribution
rates
61.3%
23.4%,
respectively.
Currently,
high
areas
mainly
concentrated
central
northern
Jiangxi
province,
southern
Zhejiang
Anhui
Fujian
border
Hunan
Guangxi
provinces,
covering
21.5%
total
suitable
area.
Future
projections
indicate
habitat
will
shift
higher
latitudes
altitudes
quality
decline.
Strategies
are
required
protect
populations
habitats.
study
provide
an
important
theoretical
reference
optimization
planting
ensure
sustainable
production
industry.
Язык: Английский