Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 513 - 513
Published: Feb. 28, 2025
Mountains
are
crucial
for
essential
ecosystem
services
that
foundational
to
ecological
restoration
and
conservation.
The
Taihang
a
key
water
recharge
zone
barrier
in
northern
China.
Yet,
research
on
the
spatial
heterogeneity
of
service
trade-offs
synergies
this
region
remains
scarce.
This
study
addresses
gap
by
examining
spatiotemporal
evolution,
heterogeneity,
dynamic
interplay
between
Mountains,
employing
multidimensional
analysis
method
time
space.
Key
findings
from
2005
2020
show
significant
CNY
2.665
billion
increase
overall
value
Mountains.
Spatially,
soil
conservation
increased
central
eastern
regions,
while
supply
similarly
region.
Regarding
autocorrelation,
distribution
these
was
predominantly
characterized
clusters
high–high
non-significant
values.
differentiation
services,
prevail,
with
disparities
trade-off
synergistic
areas,
where
relatively
scattered.
Comprehending
interactions,
trade-offs,
among
is
natural
resource
allocation
understanding
facilitates
resolving
conflicts
economic
environmental
goals,
promoting
harmonious
regional
development.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
148, P. 110093 - 110093
Published: March 7, 2023
Litsea
cubeba
is
an
important
woody
oil
plant.
The
essential
oils
(EOs)
can
be
extracted
from
its
flowers,
leaves
and
peels
and,
by
volume,
it
the
most
exported
natural
EOs
China.
Thus,
L.
has
economic
medicinal
value.
Although
there
demand
for
rapid
expansion
of
production,
been
a
sharp
reduction
in
resources.
Therefore,
determining
potentially
suitable
area
expanding
cultivation
will
help
meet
growing
volatile
oil.
Based
on
453
distribution
records
China
16
major
environmental
factors,
we
simulated
pattern
under
three
different
climate
change
scenarios
(SSP126,
SSP370
SSP585)
time
periods:
current
period,
2050
s,
2070
s.
analysis
was
implemented
using
MaxEnt
model,
optimized
ENMeval
package.
jackknife
test,
percent
contribution
response
curve
were
used
to
determine
factors
intervals
affecting
cubeba.
We
found
that
parameter
settings
optimal
model
RM
=
2.5
FC
LQH.
results
exhibited
high
prediction
accuracy
low
degree
overfitting.
Precipitation
driest
quarter,
annual
precipitation,
temperature
range
minimum
coldest
month
dominant
cubeba,
their
thresholds
≥
36.21
mm,
≥905.95
≤32.44
°C
-3.73
°C,
respectively.
showed
total
208.19
×
104
km2
conditions.
predicted
mainly
concentrated
19
provinces
cities
Yangtze
River
Basin
southern
area.
Under
future
conditions,
increased
with
time,
centroid
each
grade
moved
northward.
this
study
guide
selection
introductions,
as
well
development,
artificial
resource
conservation
Mammal Review,
Journal Year:
2021,
Volume and Issue:
51(4), P. 571 - 584
Published: March 18, 2021
Abstract
Climate
change
is
among
the
key
anthropogenic
factors
affecting
species’
distribution,
with
important
consequences
for
conservation.
However,
little
known
concerning
of
distributional
changes
on
community‐level
interactions,
and
responses
by
generalist
species
might
have
many
ecological
implications
in
terms
novel
interactions
resident
species.
In
this
study,
we
applied
Ecological
Niche
Models
niche
analysis
to
three
bat
species,
Hypsugo
savii
,
Pipistrellus
kuhlii,
pipistrellus
which
share
similar
traits
are
sympatric
parts
their
ranges.
Our
aims
were
investigate
how
predicted
climate
will
affect
distribution
analyse
degree
climatic
overlap
between
both
current
future
scenarios
(2050
2070;
Representative
Concentration
Pathways
4.5
8.5).
Temperatures
most
predictors
influencing
range
expansion
future.
According
our
models,
kuhlii
may
expand
geographic
ranges
towards
northern
latitudes,
whereas
less
thermophilous
shift
northwards,
resulting
it
losing
southern
portion
Europe.
The
already
considerable
increase
further
On
basis
findings,
within
new
areas
potentially
colonised
all
future,
alterations
balance
occur,
bringing
about
effects
that
only
partially
predictable.
view
this,
highlight
need
research
improved
monitoring
communities
be
particularly
vulnerable
change.
Scientific Reports,
Journal Year:
2021,
Volume and Issue:
11(1)
Published: July 8, 2021
Habitat
evaluation
is
essential
for
managing
wildlife
populations
and
formulating
conservation
policies.
With
the
rise
of
innovative
powerful
statistical
techniques
in
partnership
with
Remote
Sensing,
GIS
GPS
techniques,
spatially
explicit
species
distribution
modeling
(SDM)
has
rapidly
grown
biology.
These
models
can
help
us
to
study
habitat
suitability
at
scale
range,
are
particularly
useful
examining
overlapping
between
sympatric
species.
Species
presence
points
collected
through
field
observations,
conjunction
13
different
topographic,
vegetation
related,
anthropogenic,
bioclimatic
variables,
as
well
a
land
cover
map
seven
classification
categories
created
by
support
vector
machine
(SVM)
were
used
implement
Maxent
GARP
ecological
niche
models.
resulting
models,
suitable
asiatic
black
bear
(Ursus
thibetanus)
red
panda
(Ailurus
fulgens)
Nepal
Makalu
Barun
National
Park
(MBNP)
was
predicted.
All
predictor
variables
extracted
from
freely
available
remote
sensing
publicly
shared
government
data
resources.
The
modeled
results
validated
using
an
independent
dataset.
Analysis
regularized
training
gain
showed
that
three
most
important
environmental
distance
settlement,
elevation,
mean
annual
temperature.
accuracy,
characterized
area
under
curve,
moderate
both
when
(0.791
0.786
panda),
but
(0.857),
high
(0.920)
used.
estimated
716
km2
343
respectively,
while
determined
1074
714
respectively.
predicted
83%
40%
habitat,
88%
58%
overlapped.
exhibited
barren
covered
highest
percentage
MBNP
(36.0%)
followed
forest
(32.6%).
Of
indicated
preferred
(63.7%
61.6%
Maxent;
59.9%
58.8%
GARP).
outperformed
terms
modeling.
higher
selectivity
than
panda.
We
suggest
proper
management
should
be
given
habitats
buffer
zone.
For
inaccessible
regions,
proposed
methods
promising
tools
conservation,
deserving
further
popularization.
Forests,
Journal Year:
2021,
Volume and Issue:
12(6), P. 752 - 752
Published: June 7, 2021
Cunninghamia
lanceolata
(Lamb.)
Hook.
(Chinese
fir)
is
one
of
the
main
timber
species
in
Southern
China,
which
has
a
wide
planting
range
that
accounts
for
25%
overall
afforested
area.
Moreover,
it
plays
critical
role
soil
and
water
conservation;
however,
its
suitability
subject
to
climate
change.
For
this
study,
appropriate
distribution
area
C.
was
analyzed
using
MaxEnt
model
based
on
CMIP6
data,
spanning
2041–2060.
The
results
revealed
(1)
minimum
temperature
coldest
month
(bio6),
mean
diurnal
(bio2)
were
most
important
environmental
variables
affected
lanceolata;
(2)
currently
suitable
areas
primarily
distributed
along
southern
coastal
55%
moderately
so,
while
only
18%
highly
suitable;
(3)
projected
would
likely
expand
BCC-CSM2-MR,
CanESM5,
MRI-ESM2-0
under
different
SSPs
increased
estimated
future
ranged
from
0.18
0.29
million
km2,
where
total
attained
maximum
value
2.50
km2
SSP3-7.0
scenario,
with
lowest
2.39
SSP5-8.5
scenario;
(4)
combination
land
use
farmland
protection
policies
more
than
60%
could
be
utilized
2041–2060
SSP
scenarios.
Although
change
having
an
increasing
influence
distribution,
deleterious
impacts
anthropogenic
activities
cannot
ignored.
In
future,
further
attention
should
paid
investigation
combined
human
activities.
Insects,
Journal Year:
2023,
Volume and Issue:
14(2), P. 182 - 182
Published: Feb. 13, 2023
M.
alternatus
is
considered
to
be
an
important
and
effective
insect
vector
for
the
spread
of
international
forest
quarantine
pest,
Bursaphelenchus
xylophilus.
The
precise
determination
potential
suitable
areas
essential
monitor,
prevent,
control
worldwide.
According
distribution
points
climatic
variables,
optimized
MaxEnt
model
ArcGIS
were
used
predict
current
future
potentially
parameters
set
as
feature
combination
(FC)
=
LQHP
β
1.5,
which
determined
by
values
AUCdiff,
OR10,
ΔAICc.
Bio2,
Bio6,
Bio10,
Bio12,
Bio14
dominant
bioclimatic
variables
affecting
alternatus.
Under
climate
conditions,
habitats
distributed
across
all
continents
except
Antarctica,
accounting
4.17%
Earth’s
total
land
area.
scenarios,
increased
significantly,
spreading
a
global
scale.
results
this
study
could
provide
theoretical
basis
risk
analysis
dispersal
well
monitoring
prevention
beetle.
Forests,
Journal Year:
2020,
Volume and Issue:
11(6), P. 673 - 673
Published: June 12, 2020
During
the
glacial
episodes
of
Quaternary,
European
forests
were
restricted
to
small
favourable
spots,
namely
refugia,
acting
as
biodiversity
reservoirs.
Iberian,
Italian
and
Balkan
peninsulas
have
been
considered
main
refugia
trees
in
Europe.
In
this
study,
we
estimate
composition
last
forest
a
coastal
cave
Cilento
area
(SW
Italy)
seven
time
frames,
spanning
from
Pleniglacial
Late
Glacial.
Charcoal
analyses
performed
archaeological
layers.
Furthermore,
paleoclimate
modelling
(Maxent)
approach
was
used
complement
taxonomic
identification
charcoal
fragments
past
potential
distribution
tree
species
Our
results
showed
that
mesothermophilous
survived
region
core
Mediterranean
basin
during
Last
Glacial
Period
(LGP,
since
~36
ka
cal
BP),
indicating
played
an
important
role
reservoir
woodland
biodiversity.
Here,
Quercus
pubescens
most
abundant
component,
followed
by
wide
variety
deciduous
Pinus
nigra.
data
also
pointed
at
crucial
area,
for
warm
temperate
genera
Tilia,
Carpinus
Sambucus,
LGP,
region.
P.
nigra
might
be
candidate
“Pinus
sylvestris
type”
study
site
Maximum
(LGM).
found
coexist
with
Q.
several
territories
both
currently
LGM.
All
models
high
levels
predictive
performances.
highlight
advantage
combining
different
approaches
such
analysis
ecological
niche
explore
biogeographic
questions
about
current
distribution,
implications
inform
today’s
management
conservation.
Communications Biology,
Journal Year:
2023,
Volume and Issue:
6(1)
Published: May 30, 2023
Abstract
Xylella
fastidiosa
is
a
bacterium
that
infects
crops
like
grapevines,
coffee,
almonds,
citrus
and
olives.
There
little
understanding
of
the
genes
contribute
to
plant
resistance,
genomic
architecture
potential
role
climate
in
shaping
part
because
major
grapevines
(
Vitis
vinifera
)
are
not
resistant
bacterium.
Here
we
study
wild
grapevine
species,
V.
arizonica
,
segregates
for
resistance.
Using
genome-wide
association,
identify
candidate
resistance
genes.
Resistance-associated
kmers
shared
with
sister
species
but
more
distant
suggesting
evolved
than
once.
Finally,
dependent,
individuals
from
low
<
10
°C)
temperature
locations
wettest
quarter
were
typically
susceptible
infection,
likely
reflecting
lack
pathogen
pressure
colder
climates.
In
fact,
as
effective
predictor
phenotypes
some
genetic
markers.
We
extend
our
observations
additional
crops,
predicting
increased
almonds
other
crops.