Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: May 24, 2024
Introduction
Dendrolimus
punctatus
,
a
major
pest
endemic
to
the
native
Pinus
massoniana
forests
in
China,
displays
outbreak
characteristics
and
causes
severe
destructiveness.
In
context
of
global
climate
change,
this
study
aims
investigate
effects
climatic
variations
on
distribution
D.
its
host,
P.
.
Methods
We
predict
their
potential
suitable
areas
future,
thereby
offering
theoretical
basis
for
monitoring
controlling
as
well
conserving
forest
resources.
By
utilizing
existing
data
coupled
with
relevant
variables,
employs
an
optimized
maximum
entropy
(MaxEnt)
model
predictions.
With
feature
combinations
set
linear
product
(LP)
regularization
multiplier
at
0.1,
strikes
optimal
balance
between
complexity
accuracy.
Results
The
results
indicate
that
primary
factors
influencing
include
minimum
temperature
coldest
month,
annual
range,
precipitation.
Under
influence
pests
exhibit
high
degree
similarity,
primarily
concentrated
region
south
Qinling−Huaihe
line
China.
various
scenarios,
habitat
these
two
species
may
expand
varying
degrees,
exhibiting
tendency
shift
toward
higher
latitude
regions.
Particularly
under
emission
scenario
(SSP5-8.5),
is
projected
northwards
fastest
rate.
Discussion
2050,
migration
direction
expected
closely
align
indicating
pine
will
continue
be
affected
by
pest.
These
findings
provide
crucial
empirical
references
region-specific
prevention
infestations
rational
utilization
management
Forests,
Journal Year:
2024,
Volume and Issue:
15(6), P. 988 - 988
Published: June 5, 2024
Liriodendron
chinense
(Hemsl.)
Sarg.
(Magnoliales:
Magnoliaceae),
valued
for
its
medicinal
properties
and
timber
as
an
ornamental
plant,
is
now
classified
endangered
species.
Investigating
how
future
climate-change
scenarios
might
affect
the
potential
geographic
distribution
of
L.
will
provide
a
crucial
scientific
basis
protection
management
strategies.
The
MaxEnt
model
was
calibrated
using
ENMeval
optimization
package,
then
it
coupled
with
ArcGIS
10.8
to
forecast
possible
areas
in
China,
utilizing
elevation
data,
bioclimatic
factors,
human
footprint
environmental
variables.
results
indicate:
(1)
optimal
parameters
were
set
follows:
FC
=
LQ,
RM
0.5,
demonstrated
high
predictive
accuracy
minimal
overfitting;
(2)
total
suitable
habitat
area
geographical
during
current
period
estimated
at
151.55
×
104
km2,
predominantly
located
central,
eastern,
southwestern
regions
China;
(3)
minimum
temperature
coldest
month
(bio6),
precipitation
driest
(bio14),
quarter
(bio17),
warmest
(bio18),
(alt),
(hf)
are
main
variables
determining
chinense;
(4)
During
from
2041
2060,
under
carbon
emission
SSP126,
SSP245,
SSP370,
shows
varying
degrees
increase
compared
period.
However,
highest
concentration
scenario
SSP585,
decreases
some
extent;
(5)
likely
move
towards
higher
latitudes
elevations
due
changes
climate.
This
research
provides
comprehensive
analysis
impacts
climate
change
on
chinense,
offering
valuable
information
climatic
conditions.
Insects,
Journal Year:
2024,
Volume and Issue:
15(5), P. 324 - 324
Published: May 1, 2024
A
precise
evaluation
of
the
risk
establishing
insect
pests
is
essential
for
national
plant
protection
organizations.
This
accuracy
crucial
in
negotiating
international
trade
agreements
forestry-related
commodities,
which
have
potential
to
carry
and
lead
unintended
introductions
importing
countries.
In
our
study,
we
employed
both
mechanistic
correlative
niche
models
assess
map
global
patterns
establishment
Forests,
Journal Year:
2024,
Volume and Issue:
15(7), P. 1253 - 1253
Published: July 18, 2024
Bursaphelenchus
xylophilus
is
a
pest
that
interferes
with
the
health
of
forests
and
hinders
development
forestry
industry,
its
spread
influenced
by
changes
in
abiotic
factors
human
activities.
The
potential
distribution
areas
B.
China
under
four
shared-economic
pathways
were
predicted
using
optimized
MaxEnt
model
(version
3.4.3),
combining
data
from
variety
environmental
variables:
(1)
prediction
natural
variables
current
climate
models;
(2)
+
activities
(3)
future
models
(2050s
2070s).
Meanwhile,
whether
niche
has
changed
over
time
analyzed.
results
showed
activities,
precipitation
driest
month,
annual
precipitation,
elevation
had
significant
effects
on
xylophilus.
In
conditions,
greatly
reduced
survival
area
xylophilus,
suitable
was
mainly
concentrated
southwestern
central
regions
China.
Under
influence
change
future,
habitat
will
gradually
to
northeast.
addition,
ecological
overlap
analysis
greater
than
0.74.
This
study
provides
important
information
for
understanding
adaptation
risk
which
can
help
guide
decision
making
control
forest
protection.
Forests,
Journal Year:
2024,
Volume and Issue:
15(8), P. 1313 - 1313
Published: July 27, 2024
Shoot
blight
of
larch
caused
by
Neofusicoccum
laricinum
(Sawada)
Y.
Hattori
&
C.
Nakash
poses
a
significant
threat
to
the
growth
and
development
plantations
is
among
most
devastating
diseases
forest
trees.
Its
consecutive
occurrence
can
cause
serious
damage
even
death
host
plant.
Analyzing
geographical
distribution
patterns
shoot
in
China
based
on
optimized
maximum
entropy
(MaxEnt)
Biomod2
ensemble
(EM)
models
recognizing
environmental
factors
limiting
spread
this
disease
could
provide
reasonable
basis
for
its
control.
The
potential
areas
were
predicted
using
data
variables.
area
under
receiver
operating
characteristic
(ROC)
curve
(AUC)
was
employed
compare
predictive
performance
MaxEnt
models.
Our
results
showed
that
both
had
prominent
predicting
larch,
with
latter
performing
slightly
better
AUC
than
former.
potentially
suitable
as
models,
similarly
distributed,
mainly
Northern
China,
including
Heilongjiang,
Jilin,
Liaoning,
Northeastern
Inner
Mongolia.
variables
significantly
identified
jackknife
method
Pearson’s
correlation
analysis
included
annual
mean
temperature,
precipitation,
precipitation
wettest
quarter,
temperature
warmest
elevation.
This
research
offers
theoretical
rationally
delineating
sites
invaded
strengthening
detection
quarantine
critical
areas,
formulating
timely
effective
control
measures,
establishing
conservation
measures
resources.
Journal of Economic Entomology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 9, 2024
Climate
change
impacts
the
distribution
of
pests
and
its
natural
enemies,
prompting
this
study
to
investigate
dynamics
shifts
in
under
current
future
climate
conditions.
The
spatial
pattern
Psacothea
hilaris
(Pascoe)
(Coleoptera:
Cerambycidae)
China
was
analyzed,
MaxEnt
model
optimized
predict
potential
geographic
P.
two
enemies
(Dastarcus
helophoroides
(Fairmaire)
Bothrideridae)
Dendrocopos
major
(Linnaeus)
(Piciformes:
Picidae))
China,
further
analyze
key
environmental
factors
affecting
survival
determine
using
D.
as
control
hilaris.
results
showed
that
suitable
ranges
are
expanding
influence
change,
both
have
migrated
higher
latitudes.
helophoroides,
major,
highly
similar.
It
is
noteworthy
range
completely
covers
This
indicates
can
be
employed
biological
agents
manage
populations.
provides
a
theoretical
framework
empirical
evidence
for
development
early
warning
green
strategies
Journal of Economic Entomology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 20, 2025
Abstract
The
Anoplophora
chinensis
(Coleoptera:
Cerambycidae)
(Forster),
a
serious
phytophagous
pest
threatening
Castanea
mollissima
Blume
and
seguinii
Dode,
poses
risks
of
ecological
imbalance,
significant
economic
loss,
increased
management
difficulties
if
not
properly
controlled.
This
study
employs
optimized
MaxEnt
models
to
analyze
the
potential
distribution
areas
A.
its
host
plants
under
current
future
climate
conditions,
identifying
their
movement
pathways
relative
dynamics.
Results
indicate
that
all
achieved
an
average
AUC
value
exceeding
0.86,
demonstrating
low
complexity
high
predictive
accuracy.
key
climatic
variables
influencing
geographic
include
temperature
moisture-related
bioclimatic
such
as
mean
diurnal
range,
minimum
temp
coldest
month,
wettest
quarter,
annual
precipitation,
precipitation
driest
seasonality.
Under
both
these
3
species
are
primarily
distributed
in
southwestern
regions
China.
Notably,
suitable
growth
area
for
shows
varying
degrees
increase.
Additionally,
C.
exhibit
trend
eastward
displacement
response
change.
Overall,
findings
provide
practical
monitoring,
early
warning,
targeted
control
strategies
chinensis.
Furthermore,
results
offer
basis
timely
conservation
mitigate
impacts
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(2)
Published: Jan. 28, 2025
ABSTRACT
Climate
change
in
the
future
could
potentially
expand,
shrink,
or
alter
habitats
of
numerous
species,
leading
to
changes
their
spatial
distributions.
Predicting
suitable
areas
for
cultivating
medicinal
plants
through
modeling
has
become
an
effective
tool
assessing
site
suitability
and
conserving
plant
resources.
Utilizing
GIS
MaxEnt
model,
we
predicted
distribution
Terminalia
chebula
Retz.
China
current
(2050s
2070s)
under
RCP4.5
RCP8.5
representative
concentration
pathways.
In
this
study,
utilized
73
occurrence
records
incorporated
eight
environmental
factors
from
WorldClim
process.
The
findings
revealed
that
evaluation
model's
performance
was
based
on
area
curve
(AUC)
receiver
operating
characteristic
(ROC).
All
AUC
values
exceeded
0.9,
classifying
these
models
as
“Excellent.”
Additionally,
jackknife
test
analysis
main
influential
variables
were
bio11
bio4.
Under
present
climate
conditions,
estimated
total
habitat
T.
is
approximately
29.14
×
10
4
km
2
,
representing
around
2.78%
China's
land
area.
Within
regions,
high
suitability,
medium
low
make
up
0.39%,
0.54%,
1.85%
area,
respectively.
According
climate,
potential
growth
range
expected
expand
due
variability,
showing
a
significant
pattern
expansion
towards
north
east
within
China.
2050s
2070s,
regions
with
will
increase
compared
distribution.
This
study
provide
theoretical
suggestions
preservation,
management,
sustainable
utilization
