Projected distribution patterns of Alpinia officinarum in China under future climate scenarios: insights from optimized Maxent and Biomod2 models
Frontiers in Plant Science,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 10, 2025
Alpinia
officinarum
,
commonly
known
as
Galangal,
is
not
only
widely
used
a
medicinal
plant
but
also
holds
significant
ornamental
value
in
horticulture
and
landscape
design
due
to
its
unique
structure
floral
aesthetics
China.
This
study
evaluates
the
impact
of
current
future
climate
change
scenarios
(ssp126,
ssp245,
ssp370,
ssp585)
on
suitable
habitats
for
A.
A
total
73
reliable
distribution
points
were
collected,
11
key
environmental
variables
selected.
The
ENMeval
package
was
optimize
Maxent
model,
potential
areas
predicted
combination
with
Biomod2.
results
show
that
optimized
model
accurately
Under
low
emission
(ssp126
ssp245),
habitat
area
increased
expanded
towards
higher
latitudes.
However,
under
high
(ssp370
ssp585),
significantly
decreased,
species
range
shrinking
by
approximately
3.7%
19.8%,
respectively.
Through
Multivariate
similarity
surface
(MESS)
most
dissimilar
variable
(MoD)
analyses
revealed
variability
scenarios,
especially
ssp585,
led
large-scale
contraction
rising
temperatures
unstable
precipitation
patterns.
Changes
center
suitability
location
showed
’s
located
Guangxi,
gradually
shifts
northwest,
while
this
shift
becomes
more
pronounced.
These
findings
provide
scientific
basis
conservation
germplasm
resources
management
strategies
response
change.
Язык: Английский
Prediction of Potential Distribution and Response of Changium smyrnioides to Climate Change Based on Optimized MaxEnt Model
Plants,
Год журнала:
2025,
Номер
14(5), С. 743 - 743
Опубликована: Фев. 28, 2025
Changium
smyrnioides,
an
endangered
herb
known
for
its
medicinal
roots,
contains
essential
amino
acids
that
are
vital
human
health
but
cannot
be
synthesized
by
the
body.
However,
wild
populations
of
this
species
have
been
steadily
declining
due
to
combined
impacts
climate
change
and
anthropogenic
activities.
In
study,
we
employed
optimized
MaxEnt
model
predict
potential
distribution
C.
smyrnioides
under
different
scenarios
evaluate
responses
change.
Our
findings
demonstrated
achieved
optimal
performance
with
a
regularization
multiplier
0.5
feature
combination
linear
quadratic
terms.
Among
environmental
variables,
three
emerged
as
most
critical
factors
shaping
species’
distribution:
elevation,
precipitation
driest
month
(bio14),
isothermality
(bio2/bio7
×
100,
bio3).
Currently,
primary
suitable
habitats
concentrated
in
Jiangsu
Province,
estimated
21,135
km²
classified
highly
suitable.
The
analysis
further
indicated
that,
response
rising
temperatures,
is
likely
shift
northeastward
across
China.
Notably,
results
suggested
total
area
would
increase
over
time
projected
scenarios.
Based
on
predicted
centroid
migration
habitats,
Anhui
Province
was
identified
future
conservation
zone
smyrnioides.
This
region
could
serve
refuge,
ensuring
long-term
survival
changing
climatic
conditions.
Overall,
study
provides
key
insights
into
ecological
change,
offering
evidence-based
guidance
development
effective
strategies
aimed
at
safeguarding
herb.
Язык: Английский
Distribution Prediction and Adaptability Analysis of Section Camellia Plants (Camellia Genus) in China Based on the MaxEnt Model
Ecology and Evolution,
Год журнала:
2025,
Номер
15(4)
Опубликована: Апрель 1, 2025
ABSTRACT
Sect.
Camellia
plants,
widely
distributed
across
southern
China,
hold
significant
economic
value
through
their
dual
applications
in
landscape
greening,
ornamental
horticulture,
and
oilseed
production.
However,
with
rapid
changes
the
global
climate,
it
is
becoming
increasingly
important
to
study
habitat
distributions
of
species
factors
influencing
adaptations.
Using
maximum
entropy
model,
we
predicted
past,
present,
future
distribution
areas
suitable
habitats
for
sect.
under
different
climate
scenarios.
The
results
revealed
that
current
conditions,
total
area
was
17.04
×
10
5
km
2
,
highly
1.95
.
strongly
influenced
by
key
environmental
factors,
such
as
temperature
hottest
month
(Bio5),
minimum
coldest
(Bio6),
annual
difference
(Bio7),
slope
(Slope).
In
view
change,
center
expected
shift
higher
latitudes
may
undergo
northward
movement
adapt
new
leading
an
expansion
area.
Язык: Английский
Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 23, 2025
Elymus
dahuricus
Turcz
(E.dahuricus)
is
an
excellent
forage
grass
with
very
high
economic
value
and
adaptability.Predicting
the
potential
habitat
distribution
of
E.dahuricus
in
China
can
provide
solid
scientific
theoretical
support
for
effective
utilization
germplasm
resources.In
this
study,
180
occurrence
sites
38
environmental
variables
were
selected,
optimized
Maxent
model
ArcGIS
V10.8
software
used
to
simulate
predict
areas
present
(1970-2020),2050s
(2041-2060)
2090s
(2081-2100).
The
results
showed
that
(1)
simulated
AUC
MaxEnt
0.850,with
simulation
accuracy;
(2)Temperature
seasonality(bio4),min
temperature
coldest
month(bio6),precipitation
driest
quarter(bio17),precipitation
seasonality(bio15),cation
exchange
capacity
topsoil(t_cec_soil)
altitude(elev)
main
factors
affecting
E.dahuricus;
(3)Presently,
suitable
habitats
mainly
distributed
Xinjiang,
Xizang,
Gansu,
Qinghai,
Ningxia,
Inner
Mongolia,
Shanxi,
Hebei,
Beijing,
Liaoning,
Chongqing
other
provinces.According
our
total
area
will
increase
under
future
climate
scenarios
general
trend
mass
center
toward
higher
latitude.Our
wild
resource
information
reference
protection
rational
E.dahuricus.
Язык: Английский
Predicting Range Shifts of Five Alnus (Betulaceae) Species in China Under Future Climate Scenarios
Plants,
Год журнала:
2025,
Номер
14(11), С. 1597 - 1597
Опубликована: Май 24, 2025
Climate
change
poses
significant
challenges
to
forest
biodiversity
by
altering
species
distributions.
This
study
employed
the
MaxEnt
model
predict
current
and
potential
future
suitable
habitats
of
five
Alnus
in
China
under
four
Shared
Socioeconomic
Pathways.
Model
accuracy
was
high,
with
temperature
seasonality
identified
as
most
influential
variable.
In
addition,
predicted
range
shifts
showed
species-specific
patterns,
expanding
toward
higher
latitudes
elevations.
contrast,
ferdinandi-coburgii
exhibited
consistent
habitat
contraction.
These
findings
enhance
understanding
climatic
responses
provide
a
scientific
basis
for
targeted
conservation
management
strategies
climate
change,
may
offer
insights
into
other
temperate
regions.
Язык: Английский
Multi-dimensional Adaptation Strategies of a Desert Shrub Seedling to Drought Gradient: Integrated Physiological, Anatomical and Hydraulic Adjustments in Reaumuria songarica
Plant Physiology and Biochemistry,
Год журнала:
2025,
Номер
227, С. 110091 - 110091
Опубликована: Май 28, 2025
Язык: Английский
Predicting the Potential Distribution of Cheirotonus jansoni (Coleoptera: Scarabaeidae) Under Climate Change
Insects,
Год журнала:
2024,
Номер
15(12), С. 1012 - 1012
Опубликована: Дек. 20, 2024
Cheirotonus
jansoni
(Jordan,
1898),
a
beetle
species
of
ecological
and
ornamental
significance,
is
predominantly
found
in
southern
China.
With
limited
dispersal
ability,
it
classified
as
Class
2
protected
In
this
study,
the
widely
employed
maximum
entropy
(MaxEnt)
model
ensemble
Biomod2
were
applied
to
simulate
C.
habitat
suitability
China
under
current
environmental
conditions
based
on
available
distribution
data
multiple
variables.
The
optimized
MaxEnt
demonstrated
improved
accuracy
robust
predictive
capabilities,
making
preferred
choice
for
simulating
dynamic
changes
potentially
suitable
habitats
future
climate
scenarios.
Protection
gaps
further
identified
through
analyses
overlap
between
nature
reserves
highly
areas
jansoni.
established
models
indicated
that
primarily
resides
southeastern
mountainous
regions
below
2000
m,
with
altitude
1000–2000
m.
Future
scenarios
suggest
reduction
overall
an
increase
temperature,
underscoring
urgent
need
enhanced
conservation
efforts
species.
Язык: Английский