Climate
change
is
one
of
the
main
drivers
biodiversity
decline.
Rapidly
changing
climate
in
form
warming,
drying,
and
habitat
isolation
causes
freshwater
species
to
their
spatial
extent,
as
most
have
little
capacity
for
situ
responses.
However,
relative
contribution
these
three
effects
species'
distributions
actively
debated.
To
shed
light
on
this
debate,
we
explored
temperature,
hydroperiod,
connectivity
alpine
pond
occupancy
probabilities
northern
French
Alps.
We
studied
ponds
ideal
test
systems
because
they
face
more
rapidly,
concentrated
areas,
than
any
other
ecosystem.
used
multispecies
models
with
biological
groups
(amphibians,
macrophytes,
Odonata)
examine
contrasting
responses
change.
Contrary
expectations,
temperature
was
not
driver
probabilities.
Instead,
hydroperiod
were
stronger
predictors
Furthermore,
increases
had
same
effect
non-alpine
specialist
species.
Nonetheless,
disproportionately
affected
a
greater
number
compared
specialists.
conclude
that
mitigation
will
primarily
benefit
Finally,
suggest
enhancing
our
understanding
hydroperiods
improve
predictions
distributions.
Frontiers in Plant Science,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 20, 2025
Climate
change
poses
significant
challenges
to
the
distribution
of
endemics
in
Mediterranean
region.
Assessing
impact
climate
on
patterns
is
critical
importance
for
understanding
dynamics
these
terrestrial
ecosystems
under
uncertainty
future
changes.
The
population
size
Cynara
cornigera
has
declined
significantly
over
previous
century
across
its
geographical
This
decline
linked
how
ongoing
affecting
natural
resources
like
water
and
capacity
foraging
sites.
In
fact,
it
distributed
3
fragmented
locations
Egypt
(Wadi
Hashem
(5
individuals),
Wadi
Um
Rakham
(20
Burg
El-Arab
(4
individuals)).
this
study,
we
examined
C.
cornigera's
response
predicted
next
few
decades
(2020-2040
2061-2080)
using
species
models
(SDMs).
Our
analysis
involved
inclusion
bioclimatic
variables,
SDM
modeling
process
that
incorporated
five
algorithms:
generalized
linear
model
(GLM),
Random
Forest
(RF),
Boosted
Regression
Trees
(BRT),
Support
Vector
Machines
(SVM),
Generalized
Additive
Model
(GAM).
ensemble
obtained
high
accuracy
performance
outcomes
with
a
mean
AUC
0.95
TSS
0.85
overall
model.
Notably,
RF
GLM
algorithms
outperformed
other
algorithms,
underscoring
their
efficacy
predicting
Analysis
relative
variables
revealed
Precipitation
wettest
month
(Bio13)
(88.3%),
warmest
quarter
(Bio18)
(30%),
driest
(Bio14)
(22%)
as
primary
drivers
shaping
potential
cornigera.
findings
spatial
variations
habitat
suitability,
highest
observed
Egypt,
(especially
Arishian
sub
sector),
Palestine,
Morocco,
Northern
Cyprus,
different
islands
Sea
Crete.
Furthermore,
our
range
would
drop
by
more
than
25%
during
decades.
Surprisingly,
area
(SSP
126
scenario)
2061
2080
showed
there
increase
suitable
habitats
area.
It
suitability
along
coastal
strip
Spain,
Sardinia,
Algeria,
Tunisia,
Libya,
Lebanon,
Aegean
islands.
Abstract
Climate
change
could
amplify
the
extinction
risk
of
endemic
species,
and
is
even
greater
for
species
occupying
high
elevations
mountain
ranges.
In
this
study,
we
assessed
climatically
suitable
habitat
only
Nepalese
bird
spiny
babbler
(
Turdoides
nipalensis
),
predicted
extent
future
(2050
2070)
under
two
climate
scenarios
(SSP2‐4.5
SSP5‐8.5).
We
used
georeferenced
occurrence
points
alongside
ecologically
meaningful
climatic
topographic
variables
to
develop
an
ensemble
model
using
different
distribution
modeling
algorithms
in
BIOMOD2.
identified
22,488.83
km
2
(15%)
Nepal's
total
land
area
as
where
nonprotected
regions
incorporated
largest
(88%),
with
a
majority
within
central
Mid‐Hill
region.
Under
SSP2‐4.5
scenario,
21.58%
34.08%
current
range
are
projected
be
lost
by
2050
2070,
respectively.
Whereas
SSP5‐8.5
our
projections
suggest
that
40.45%
52.18%
will
Habitat
suitability
increased
rise
warmest
quarter
precipitation
(above
1000
mm),
coldest
between
50
100
mm,
temperature
20
30°C.
Given
results,
it
crucial
review
conservation
policy
areas
formulate
babbler‐specific
action
plan
special
focus
on
protecting
their
primary
human‐dominated
landscapes
areas.
Ecology and Evolution,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Understanding
species'
dietary
ecology
and
interspecific
interactions
is
crucial
for
multi‐species
conservation
planning.
In
Central
Asia
the
Himalayas,
wolves
have
recolonized
snow
leopard
habitats,
raising
considerable
concern
about
resource
competition
between
these
apex
predators.
Using
micro‐histological
analysis
of
prey
species
remains
(e.g.,
hair)
in
their
fecal
samples,
we
determined
composition,
niche
breadth,
extent
diet
overlap
two
predators
Shey
Phoksundo
National
Park,
Nepal.
We
analyzed
152
scat
samples
collected
along
89
survey
transects
from
April
to
June
2021.
Our
findings
reveal
a
significant
diets
(Pianka's
index
=
0.93),
with
wolf
scats
containing
11
10
species,
respectively.
However,
difference
selection
was
apparent,
deviations
observed
expected
use
indicating
non‐random
relative
availability:
Snow
leopards
exhibited
higher
occurrence
wild
items
(55.28%),
primarily
blue
sheep
(
Pseudois
nayaur
)
(24.83%),
whereas
relied
predominantly
on
domestic
livestock
(67.89%),
goats
Capra
hircus
accounting
over
one‐fourth
(29.15%).
Yaks
Bos
grunniens
comprised
portion
biomass
consumed
by
both
predators,
(43.68%)
than
(36.47%).
Overall,
narrow
breadth
high
indicates
potential
wolves.
comprehensive
understanding
will
require
further
study
other
axes
partitioning,
including
habitat
time.
Nevertheless,
region's
low
richness
means
that,
increasing
human
influence,
any
reduction
or
increase
could
intensify
wolves,
which
implications
depredation.
Abstract
Anthropogenic
climate
change
affects
biological
diversity
by
altering
their
suitable
habitat
ranges.
The
Himalayan
region
is
one
of
the
world's
most
sensitive
biodiversity
hotspots
to
global
change.
Chitwan
Annapurna
Landscape
(CHAL)
in
central
Himalayas
serves
as
a
vital
north–south
linkage
among
protected
areas
Nepal
and
provides
habitats
for
threatened
mammals
different
ecological
zones,
such
snow
leopards
(in
alpine
zone),
red
panda
temperate
one‐horned
rhinoceros
lowland
tropical
zone).
CHAL
land
use
alterations.
This
study
assessed
potential
impacts
cover
changes
on
above
three
key
employing
maximum
entropy
(MaxEnt)
modeling
predict
current
project
it
future
scenarios
under
greenhouse
gas
concentrations.
Further,
we
used
cellular
automata
Markov
Chain
models
simulate
temporal
spatial
CHAL.
Our
results
indicate
that
leopard
will
experience
more
significant
vulnerability
than
all
scenarios.
Approximately
36.3%
41.8%
32.5%
56%
are
projected
be
lost
2050
2070,
respectively,
representative
concentration
pathway
(RCP6.0).
Climate
refugia,
representing
2070
(under
RCP6.0)
CHAL,
958
km
2
(80.37%
range),
1052
(43.73%
2375
(58.21%
range)
rhinoceros,
panda,
leopard,
respectively.
Among
attributes
predicted
decrease
24%
2070.
findings
species
inhabiting
environments
susceptible
human‐induced
those
areas.
These
help
implement
adaptation
actions
crucial
addressing
conservation
challenges
arising
from
Ecology and Evolution,
Год журнала:
2024,
Номер
14(11)
Опубликована: Ноя. 1, 2024
ABSTRACT
Osmanthus
fragrans
is
a
valuable
landscaping
tree
that
appreciated
worldwide.
However,
the
optimal
environmental
conditions
for
O
.
cultivation
have
yet
to
be
studied
in
detail,
which
hinders
preservation
of
wild
resources
this
plant
and
its
commercial
exploitation.
The
maximum
entropy
model
was
applied
assess
significance
environment
variables
influencing
distribution.
Combining
data
from
629
global
distribution
points
,
predictions
were
made
on
potential
effects
climate
change
geographical
suitable
habitats
species
present
future.
results
indicated
preferred
warm
humid
growing
environment.
Under
current
climatic
conditions,
mostly
located
eastern
coastal
areas
continents
at
medium
low
latitudes.
main
affected
precipitation
during
warmest
quarter,
temperature
seasonality,
mean
quarter.
analysis
continuation
trends
will
result
further
reduction
growth,
centroid
shift
southeast.
These
findings
provided
insight
into
impact
habitats,
as
well
provide
guidance
conservation
breeding
more
change‐resistant
varieties
Frontiers in Plant Science,
Год журнала:
2025,
Номер
15
Опубликована: Янв. 20, 2025
Introduction
Piper
kadsura
is
a
well-known
medicinal
plant
that
belongs
to
woody
liana,
possessing
high
therapeutic
and
economic
value.
The
market
demand
of
P.
huge,
but
its
wild
resources
are
scarce
artificial
cultivation
methods
have
not
been
established,
which
leads
situation
with
strong
contradiction
imbalance
between
supply
demand.
Methods
In
this
study,
303
sample
distribution
data
for
in
China
were
collected,
33
environmental
variables
related
terrain,
climate
soil
analyzed
the
suitable
habitats
during
various
periods
predicted
by
MaxEnt
model
ArcGIS
software,
aiming
provide
basis
scientific
effective
utilization
resources.
Results
results
indicated
precipitation
temperature
significant
factors
.
primary
influencing
potential
driest
quarter
(Bio17),
annual
(Bio12),
mean
diurnal
range
(Bio2),
(Bio7).
Among
them,
(Bio17)
was
most
influential
variable
100.68
274.48
mm.
current
mainly
located
coastal
areas
eastern
southern
China,
especially
Guangxi,
Guangdong,
Zhejiang
Fujian,
total
area
51.74
×
104
km2.
Future
change
global
warming
will
lead
reduction
under
scenarios.
Especially
SSP585
scenario,
highly
be
significantly
reduced
89.26%
87.95%
compared
present
2090s.
Discussion
Overall,
these
findings
can
useful
references
areas’
determination
resources,
optimization
selection
quality
materials
on
Forests,
Год журнала:
2025,
Номер
16(3), С. 530 - 530
Опубликована: Март 17, 2025
Climate
change
has
been
transforming
forest
ecosystems
globally,
affecting
the
sustainability
of
conventional
management
practices.
This
study
investigates
suitable
forestation
area
(SFA)
for
Larix
kaempferi
and
Chamaecyparis
obtusa
their
growth
potential
in
South
Korea
under
various
climate
scenarios.
Using
species
distribution
models
(SDMs)
based
on
machine
learning
ensembles,
we
analyzed
spatial
shifts
climatic
suitability
these
species.
Growth
field
data
were
also
developed
to
evaluate
variation
between
Köppen–Geiger
zones.
The
results
indicate
a
substantial
reduction
SFA
L.
kaempferi,
with
its
habitat
range
confined
high-altitude
regions
due
rising
temperatures.
In
contrast,
C.
is
predicted
expand
nationwide,
particularly
inland
areas,
However,
extreme
increases
temperature
atmospheric
CO2
concentrations
exceeding
600
ppm
may
inhibit
growth,
highlighting
need
development
adaptive
strategies.
provides
useful
information
climate-resilient
planning
by
combining
growth-weighted
indices
projected
shifts.
These
findings
emphasize
importance
prioritizing
conservation
zones
employing
afforestation
as
means
ensure
sustainable
carbon
neutrality
objectives.
Journal of Forestry Research,
Год журнала:
2023,
Номер
35(1)
Опубликована: Дек. 20, 2023
Abstract
Quercus
arkansana
(Arkansas
oak)
is
at
risk
of
becoming
endangered,
as
the
total
known
population
size
represented
by
a
few
isolated
populations.
The
potential
impact
climate
change
on
this
species
in
near
future
high,
yet
knowledge
its
predicted
effects
limited.
Our
study
utilized
biomod2
R
package
to
develop
habitat
suitability
ensemble
models
based
bioclimatic
and
topographic
environmental
variables
locations
current
distribution
Q.
.
We
suitable
habitats
across
three
scenarios
(SSP1-2.6,
SSP2-4.5,
SSP5-8.5)
for
2050,
2070,
2090.
findings
reveal
that
approximately
127,881
km
2
seven
states
(Texas,
Arkansas,
Alabama,
Louisiana,
Mississippi,
Georgia,
Florida);
9.5%
encompassed
within
state
federally
managed
protected
areas.
predict
all
will
disappear
2050
due
change,
resulting
northward
shift
into
new
regions
such
Tennessee
Kentucky.
large
extent
outside
areas
suggests
species-specific
action
plan
incorporating
other
may
be
crucial
conservation.
Moreover,
protection
against
require
locally
regionally
focused
conservation
policies,
adaptive
management
strategies,
educational
outreach
among
local
people.