Forests,
Journal Year:
2024,
Volume and Issue:
15(2), P. 379 - 379
Published: Feb. 18, 2024
The
gum
acacia
Senegalia
senegal
(L.)
Britton
(Fabales:
Fabaceae)
is
a
drought-tolerant
plant
belonging
to
the
genus
Acacia
of
Leguminosae
family,
possessing
significant
economic
and
ecological
value.
Despite
its
importance,
there
knowledge
gap
regarding
potential
impact
climate
change
on
distribution
S.
senegal,
crucial
for
conservation
resources
optimizing
use
in
introductory
silviculture.
In
this
study,
we
selected
23
environmental
variables
utilized
optimized
maximum
entropy
(MaxEnt)
model
analyze
key
factors
affecting
worldwide
simulate
current
future
range
Pakistan
under
SSP1-2.6,
SSP2-4.5,
SSP3-7.0,
SSP5-8.5
scenarios.
results
highlight
influencing
including
BIO3
(isothermally),
BIO4
(coefficient
seasonal
variation
temperature),
BIO11
(mean
temperature
coldest
season),
BIO12
(annual
precipitation).
Regions
with
higher
less
fluctuating
temperatures
exhibit
distribution.
Currently,
suitable
habitats
are
concentrated
southern
region
Pakistan,
covering
provinces
such
as
Punjab,
Sindh,
Balochistan,
highly
accounting
6.06%
total
area.
Under
climatic
conditions,
study
identifies
spatial
patterns
their
concentration
specific
regions.
With
change,
notable
expansion
towards
latitudes
observed,
most
extremely
severe
scenario
(SSP5-8.5),
reaching
223.45%
level.
enhance
our
understanding
dynamics
offer
valuable
insights
into
long-term
introduction
afforestation
soil
Pakistan.
This
provides
theoretical
support
sustainable
development
local
ecosystem
socio-economy,
emphasizing
importance
proactive
measures
adapt
changing
conditions.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 6, 2024
Climate
change
has
significantly
influenced
the
growth
and
distribution
of
plant
species,
particularly
those
with
a
narrow
ecological
niche.
Understanding
climate
impacts
on
spatial
pattern
endangered
species
can
improve
conservation
strategies.
The
MaxEnt
model
is
widely
applied
to
predict
environmental
tolerance
based
occurrence
data.
This
study
investigated
suitable
habitats
Ormosia
microphylla
in
China
evaluated
importance
bioclimatic
factors
shaping
its
distribution.
Occurrence
data
variables
were
gleaned
construct
model,
resulting
habitat
maps
for
accuracy.
results
showed
that
had
an
excellent
simulation
quality
(AUC
=
0.962).
major
predicting
current
O.
mean
diurnal
range
(bio2)
precipitation
driest
month
(bio14).
core
potential
areas
concentrated
Guangxi,
Fujian,
Guizhou,
Guangdong,
Hunan
provinces
south
China,
demonstrating
significant
differences
their
areas.
Our
findings
contribute
developing
effective
management
measures
microphylla,
addressing
critical
need
reliable
prediction
unfavorable
species.
Plants,
Journal Year:
2022,
Volume and Issue:
11(7), P. 899 - 899
Published: March 28, 2022
Invasive
alien
species
(IAS)
are
a
problem,
especially
in
drought-prone
environments
such
as
the
Mediterranean
Basin
where
exacerbation
of
already
severe
conditions
could
constrain
native
acclimatation
degree,
creating
new
opportunities
for
IAS.
Climate
change
may
drive
IAS
expansions,
even
if
different
can
vary
their
response.
Thus,
it
is
important
to
obtain
broader
insight
how
face
abiotic
stress.
This
research
aimed
compare
effect
imposed
water
stress
on
physiological
and
morphological
leaf
traits
Ailanthus
altissima
(AA),
Robinia
pseudoacacia
(RP),
Phytolacca
americana
(PA),
which
widely
spread
Basin.
Our
results
showed
species-dependent
at
level,
well
an
interaction
between
duration.
Despite
common
strategy
characterized
by
low
stomatal
control
photosynthesis,
AA,
PA,
RP
differ
sensitivity
In
particular,
AA
was
more
water-spending
strategy,
resistant
than
PA
RP.
this
view,
key
factor
its
plasticity
increase
mass
per
area
(LMA)
response
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
29(13), P. 3723 - 3746
Published: April 7, 2023
Climate
has
critical
roles
in
the
origin,
pathogenesis
and
transmission
of
infectious
zoonotic
diseases.
However,
large-scale
epidemiologic
trend
specific
response
pattern
diseases
under
future
climate
scenarios
are
poorly
understood.
Here,
we
projected
distribution
shifts
risks
main
change
China.
First,
shaped
global
habitat
host
animals
for
three
representative
(2,
6,
12
hosts
dengue,
hemorrhagic
fever,
plague,
respectively)
with
253,049
occurrence
records
using
maximum
entropy
(Maxent)
modeling.
Meanwhile,
predicted
risk
above
197,098
disease
incidence
from
2004
to
2017
China
an
integrated
Maxent
modeling
approach.
The
comparative
analysis
showed
that
there
exist
highly
coincident
niche
distributions
between
diseases,
indicating
is
accurate
effective
predicting
potential
On
this
basis,
further
current
11
four
concentration
pathways
(RCPs)
(RCP2.6,
RCP4.5,
RCP6.0,
RCP8.5)
2050
2070
1,001,416
records.
We
found
Central
China,
Southeast
South
concentrated
regions
high
More
specifically,
had
diverse
shift
patterns
including
increase,
decrease,
unstable.
Further
correlation
indicated
these
were
correlated
warming
precipitation
increase.
Our
results
revealed
how
respond
a
changing
climate,
thereby
calling
administration
prevention
strategies.
Furthermore,
will
shed
light
on
guiding
prediction
emerging
change.
