Impacts of Climate Change on the Potential Suitable Ecological Niches of the Endemic and Endangered Conifer Pinus bungeana in China
Forests,
Год журнала:
2025,
Номер
16(3), С. 462 - 462
Опубликована: Март 5, 2025
As
climate
change
continues
to
alter
species
distributions,
Pinus
bungeana,
an
endangered
conifer
of
significant
ecological
and
ornamental
value,
faces
heightened
vulnerability,
underscoring
the
critical
need
understand
predict
its
future
habitat
shifts.
Here,
we
used
83
effective
geographic
distribution
records,
along
with
climate,
topography,
soil,
drought
indices,
simulate
potential
suitable
niches
for
P.
bungeana
under
current
conditions
across
three
time
periods
(2040–2060,
2060–2080,
2080–2100)
two
shared
socioeconomic
pathways:
SSP126
(low
emissions)
SSP585
(high
emissions),
using
maximum
entropy
(MaxEnt)
model.
The
results
show
that
area
receiver
operating
characteristic
curve
(AUC)
all
simulations
exceeded
0.973,
indicating
high
predictive
accuracy.
Soil
moisture,
minimum
temperature
coldest
month,
seasonality,
isothermality,
precipitation
wettest
quarter,
altitude
were
identified
as
key
environmental
factors
limiting
soil
moisture
month
being
most
important
factors.
Under
climatic
conditions,
potentially
primarily
located
in
Shaanxi
Province,
southern
Shanxi
southeastern
Gansu
northeastern
Sichuan
Henan
northwestern
Hubei
covering
approximately
75.59
×
104
km2.
However,
scenarios,
highly
areas
projected
contract,
rate
decline
varying
significantly
between
scenarios.
Despite
this,
total
was
predicted
expand
periods.
Additionally,
a
pronounced
eastward
shift
bungeana’s
projected,
especially
high-emission
scenario.
These
findings
provide
insights
into
impacts
on
they
offer
valuable
guidance
conservation
strategies
management
context
change.
Язык: Английский
Geographical Distribution and Ecological Niche Changes of Four Evergreen Broad-Leaved Quercus Species in China Under Climate Change
Опубликована: Янв. 1, 2025
Quercus
species
plays
a
key
role
in
maintaining
biodiversity
and
ecosystem
stability
as
an
important
component
of
forest
ecology.
However,
conservation
researches
on
changes
the
geographic
distribution
ecological
niche
have
been
limited.
In
this
study,
we
employed
optimized
MaxEnt
model
to
simulate
potential
dynamics
four
evergreen
broad-leaved
(Q.baronii,
Q.dolicholepis,
Q.glauca,
Q.spinosa)
Yangtze
Yellow
River
basins
under
different
climate
scenarios
(SSP126
SSP585)
2050s
2070s.
The
relative
contribution
environmental
factors
future
these
was
assessed
through
modeling.
results
show
that
Precipitation
Coldest
Quarter
(bio19)
Temperature
Annual
Range
(bio7)
are
most
affecting
species.
Habitat
suitability
for
Q.
baronii
spinosa
trended
downward,
while
dolicholepis
glauca
expanded
their
habitat
ranges.
addition,
change
led
significant
contraction
baronii,
dolicholepis,
SSP585-2050s
scenario,
had
more
pronounced
effect
expansion
broadleaf
other
scenarios.
Язык: Английский
Protection of Passeriformes Birds in Wetland Ecological Restoration: A Case Study of the Reed Parrotbill (Paradoxornis heudei) in Baiyangdian
Diversity,
Год журнала:
2025,
Номер
17(1), С. 75 - 75
Опубликована: Янв. 20, 2025
Due
to
the
increasing
impact
of
human
activities
on
environment,
habitat
loss,
fragmentation,
and
degradation
pose
significant
threats
bird
diversity
worldwide.
Baiyangdian,
largest
freshwater
lake
wetland
in
North
China,
is
an
important
for
birds.
The
water
quality
caused
by
decaying
reed
rhizomes
has
prompted
governmental
initiatives
ecological
restoration
Baiyangdian.
However,
it
also
led
destruction
habitats
within
wetlands
consequently.
Bird
species
that
rely
these
habitats,
especially
parrotbill,
face
a
threat,
necessitating
establishment
reserves
mitigate
loss
diversity.
Our
research
aims
identify
potential
suitable
parrotbill
Baiyangdian
establish
priority
conservation
areas.
Using
environmental
factors
determined
with
Google
Earth
Engine
(GEE),
ultimately
we
designated
following
areas
as
zones:
Fuhe
Wetland
(FHW),
area
south
Beihezhuang
(BHV),
both
sides
Bridge
(BYDB),
western
shoreline
Shaochedian
(SCD),
Yannandi
Park
(YNDP),
east
Guangdianzhangzhuang
Village
(GDZZV),
Dongtianzhuang
(DTV),
north
Xilizhuang
(XLV),
Caiputai
(CPTV),
Gaolou
(GLV),
Xiaoyihe
(XYW).
findings
provide
scientific
reference
projects
region
offer
supporting
data
management
parrotbill.
Язык: Английский
MaxEnt-Based Distribution Modeling of the Invasive Species Phragmites australis Under Climate Change Conditions in Iraq
Plants,
Год журнала:
2025,
Номер
14(5), С. 768 - 768
Опубликована: Март 2, 2025
Phragmites
australis
(common
reed),
a
recently
introduced
invasive
species
in
Iraq,
has
swiftly
established
itself
as
vigorous
perennial
plant,
significantly
impacting
the
biodiversity
and
ecosystem
functions
of
Iraqi
ecoregions
with
alarming
consequences.
There
is
an
insufficient
understanding
both
current
distribution
possible
future
trends
under
climate
change
scenarios.
Consequently,
this
study
seeks
to
model
potential
Iraq
using
machine
learning
techniques
(i.e.,
MaxEnt)
alongside
geospatial
tools
integrated
within
GIS
framework.
Land-cover
features,
such
herbaceous
zones,
wetlands,
annual
precipitation,
elevation,
emerged
optimal
conditioning
factors
for
supporting
species’
invasiveness
habitat
through
vegetation
cover
moisture
retention.
These
collectively
contributed
by
nearly
85%
P.
Iraq.
In
addition,
results
indicate
net
decline
high-suitability
habitats
SSP126
(moderate
mitigation;
5.33%
loss)
SSP585
(high
emissions;
6.74%
scenarios,
losses
concentrated
southern
northern
The
demonstrated
robust
reliability,
achieving
AUC
score
0.9
±
0.012,
which
reflects
high
predictive
accuracy.
area
covers
approximately
430,632.17
km2,
64,065.66
km2
(14.87%
total
region)
was
classified
australis.
While
projections
overall
(5.33%
(6.74%
loss))
suitable
across
certain
localized
regions
may
experience
increased
suitability,
reflecting
gains
(3.58%
gain)
(1.82%
gain))
specific
areas.
Policymakers
should
focus
on
emerging
suitability
risks
proactive
monitoring
management.
Additionally,
areas
already
infested
require
enhanced
surveillance
containment
measures
mitigate
ecological
socioeconomic
impacts.
Язык: Английский
Modeling the Potential Distribution and Future Dynamics of Important Vector Culex tritaeniorhynchus Under Climate Change Scenarios in China
Insects,
Год журнала:
2025,
Номер
16(4), С. 382 - 382
Опубликована: Апрель 3, 2025
In
the
context
of
global
warming,
there
is
an
increasing
risk
emergence
and
re-emergence
vector-borne
diseases
(VBDs).
As
one
most
important
vectors,
Culex
tritaeniorhynchus
can
carry
transmit
numerous
human
animal
infectious
pathogens.
To
better
understand
current
distribution
possible
future
dynamics
Cx.
in
China,
ecological
niche
modeling
approach
(MaxEnt)
was
adopted
to
model
its
habitat
suitability.
The
comprehensive
dataset
(1100
occurrence
records)
China
date
established
for
training.
Multiple
climate
models
(GCMs)
change
scenarios
were
introduced
into
counter
uncertainties
change.
Based
on
prediction,
currently
exhibits
high
suitability
southern,
central,
coastal
regions
China.
It
projected
that
suitable
will
experience
continuous
expansion,
core
anticipated
shift
northward
21st
century
(by
2050s,
2070s
2090s).
Several
environmental
variables
reflect
temperature,
precipitation,
land-use
conditions
considered
have
a
significant
influence
tritaeniorhynchus,
among
which
annual
mean
temperature
urban
land
contribute
model.
Our
study
conducted
quantitative
analysis
expansion
habitats
providing
references
vector
monitoring
prevention
control
VBDs.
Язык: Английский
Impact of climate change on the potential global prevalence of Macrophomina phaseolina (Tassi) Goid. under several climatological scenarios
Frontiers in Plant Science,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 16, 2025
Climate
change
forms
one
of
the
most
dangerous
problems
that
disturb
earth
today.
It
not
only
devastates
environment
but
also
affects
biodiversity
living
organisms,
including
fungi.
Macrophomina
phaseolina
(Tassi)
Goid.
is
pervasive
and
destructive
soil-borne
fungus
threatens
food
security,
so
predicting
its
current
future
distribution
will
aid
in
following
emergence
new
regions
taking
precautionary
measures
to
control
it.
Throughout
this
work,
there
are
about
324
records
M.
were
used
model
global
prevalence
using
19
environmental
covariates
under
several
climate
scenarios
for
analysis.
Maximum
Entropy
(MaxEnt)
was
predict
spatial
throughout
world
while
algorithms
DIVA-GIS
chosen
confirm
predicted
model.
Based
on
Jackknife
test,
minimum
temperature
coldest
month
(bio_6)
represented
effective
bioclimatological
parameter
with
a
52.5%
contribution.
Two
representative
concentration
pathways
(RCPs)
2.6
8.5
(GCM)
code
MG,
forecast
spreading
2050
2070.
The
area
curve
(AUC)
true
skill
statistics
(TSS)
assigned
evaluate
resulted
models
values
equal
0.902
±
0.009
0.8,
respectively.
These
indicated
satisfactory
significant
correlation
between
ecology
fungus.
Two-dimensional
niche
analysis
illustrated
could
adapt
wide
range
temperatures
(9
°C
28
°C),
annual
rainfall
ranges
from
0
mm
2000
mm.
In
future,
Africa
become
low
habitat
suitability
Europe
good
place
distribution.
MaxEnt
potentially
useful
changing
climate,
results
need
further
intensive
evaluation
more
ecological
parameters
other
than
data.
Язык: Английский
The potential spatiotemporal distribution patterns of Avena nuda and Avena sativa from global perspective provide new insights for the cultivation of commonly cultivated oats
BMC Plant Biology,
Год журнала:
2025,
Номер
25(1)
Опубликована: Апрель 28, 2025
Commonly
cultivated
oats
(Avena
nuda
and
Avena
sativa)
play
an
important
role
in
agricultural
planting
structure
adjustment,
ecological
environment
protection
grassland
animal
husbandry
development,
their
effective
cultivation
is
conducive
to
food
security
degradation
restoration.
This
study
comprehensively
collected
the
geographic
distribution
environmental
data
of
A.
sativa
from
global
regions,
ensembled
niche
Marxan
model
were
used
predict
potential
spatiotemporal
pattern
commonly
oats,
further
explore
factors
that
affected
spatial
genetic
diversity
pattern.
The
results
showed
that:
(1)
suitability
regions
concentrated
plateau
(spanning
25°~45°N,
90°~125°E;
40°~60°N,
10°W
~
35°E)
plain
35°~65°N,
55°E;
30°~50°N,
65°W
100°E),
respectively.
(2)
Over
time,
expanding
trend.
(3)
widely
distributed
Qinghai-Tibet
Plateau,
Mongolia
West
Siberian
Plain,
Iran
Bavaria
Plateau
Yukon
Plateau;
Central
Great
Plains
North
America,
Mississippi
River
Midland
Bode
Western
Europe
Eastern
Siberia
Australia
Plain
Plateau.
(4)
current
period
was
responsive
temperature
habitat
conditions.
In
addition,
distance
mean
diurnal
air
range
(bio02),
seasonality
(bio04),
precipitation
amount
driest
month
(bio14),
(bio15),
monthly
coldest
quarter
(bio19),
while
only
by
annual
(bio01).
aims
patterns
clarify
provide
theoretical
basis
for
collection,
preservation
utilization
oat
population
resources.
Not
applicable.
Язык: Английский
Spatiotemporal dynamics of ecological plantations of Camellia sinensis var. assamica: Synergistic effects of climate change and policy constraints in Yunnan, China
Industrial Crops and Products,
Год журнала:
2025,
Номер
231, С. 121138 - 121138
Опубликована: Май 14, 2025
Язык: Английский
Global climate change and its impact on the distribution and efficacy of Bacillus thuringiensis as a biopesticide
The Science of The Total Environment,
Год журнала:
2024,
Номер
958, С. 178091 - 178091
Опубликована: Дек. 20, 2024
Язык: Английский
Analyzing the distribution patterns and dynamic niche of Magnolia grandiflora L. in the United States and China in response to climate change
Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Окт. 22, 2024
Introduction
Magnolia
grandiflora
L.
(southern
magnolia)
is
native
to
the
southeastern
coastal
areas
of
United
States,
from
North
Carolina
eastern
Texas
(USDA
Cold
Hardiness
Zone
8).
It
currently
widely
cultivated
in
Zones
5-10
U.S.
and
southern
Yangtze
River
regions
China.
Limited
studies
have
examined
effects
climate
change
human
activities
on
geographical
distribution
adaptability
M.
during
its
introduction
Methods
We
selected
127
occurrence
points
87
China,
along
with
43
environmental
variables,
predict
suitable
habitat
for
using
present
data
(1970-2000)
projected
future
(2050-2070)
based
a
complete
niche
ensemble
model
(EM)
Biomod2
package.
also
predicted
both
countries
'ecospat'
package
R.
Results
The
models
demonstrated
high
reliability,
an
AUC
0.993
TSS
0.932.
Solar
radiation
July,
impact
index,
precipitation
wettest
month
were
identified
as
most
critical
variables
influencing
distribution.
species
shows
similar
trend
expansion
under
scenarios
countries,
expansions
towards
northwest
northeast,
contractions
regions.
Discussion
Our
study
emphasizes
practical
framework
predicting
habitats
migration
Magnoliaceae
scenarios.
These
findings
provide
valuable
insights.
conservation,
introduction,
management
strategies,
sustainable
utilization
grandiflora.
Язык: Английский