Plants,
Journal Year:
2024,
Volume and Issue:
13(19), P. 2706 - 2706
Published: Sept. 27, 2024
The
wild
relatives
of
crops
play
a
critical
role
in
enhancing
agricultural
resilience
and
sustainability
by
contributing
valuable
traits
for
crop
improvement.
Shifts
climatic
conditions
human
activities
threaten
plant
genetic
resources
food
agriculture
(PGRFA),
jeopardizing
contributions
to
future
production
security.
Studies
inventories
the
extant
agrobiodiversity,
terms
numbers
distribution
patterns
species
their
diversity,
are
primordial
developing
effective
comprehensive
conservation
strategies.
We
conducted
an
ecogeographic
study
on
Ipomoea
assessed
distribution,
ecological
preferences
across
different
topographic,
altitudinal,
geographical,
gradients,
at
total
450
sites
Mauritius.
Species
maps
overlaid
with
data
highlighted
specific
distribution.
Principal
Component
Analysis
(PCA)
revealed
was
influenced
geographical
factors.
Regional
richness
analyses
indicated
varying
densities,
some
exhibiting
localized
distributions
while
other
showed
diverse
patterns.
Field
surveys
identified
14
2
subspecies
out
21
reported
A
gap
ex
situ
germplasm
collections
observed
several
were
as
threatened.
Further
investigations
more
long-term
monitoring
effort
better
guide
decisions
proposed.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(42)
Published: Oct. 10, 2023
Vegetation
Turing
patterns
play
a
critical
role
in
the
ecological
functioning
of
arid
and
semi-arid
ecosystems.
However,
long-range
spatial
features
these
have
been
neglected
compared
to
short-range
like
patch
shape
wavelength.
Drawing
inspiration
from
hyperuniform
structures
material
science,
we
find
that
vegetation
pattern
exhibits
dispersion
similar
hyperuniformity.
As
degree
hyperuniformity
increases,
so
does
water-use
efficiency
vegetation.
This
finding
supports
previous
studies
suggest
represent
spatially
optimized
self-organization
ecosystems
for
water
acquisition.
The
Turing-type
significant
slowing
down
near
tipping
point,
indicating
non-negligible
transient
dynamical
behavior.
Reduced
rainfall
not
only
decreases
resilience
steady
state
ecosystem
but
also
slows
rate
optimization
long
regimes.
We
propose
indicates
after
strong,
short-term
disturbances.
Spatially
heterogeneous
disturbances
reduce
lead
longer
recovery
times
than
homogeneous
maintain
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 3, 2024
Abstract
Exploring
vegetation
dynamics
in
arid
areas
and
their
responses
to
different
natural
anthropogenic
factors
is
critical
for
understanding
ecosystems.
Based
on
the
monthly
MOD13Q1
(250
m)
remote
sensing
data
from
2000
2019,
this
study
analyzed
spatio-temporal
changes
cover
Aksu
River
Basin
predicted
future
change
trends
using
one-dimensional
linear
regression,
Mann–Kendall
test,
Hurst
index.
Quantitative
assessment
of
magnitude
drivers
was
performed
Geodetector
model.
Eleven
were
quantified
within
five
time
periods.
The
influence
driving
normalized
difference
index
(NDVI)
each
period
calculated
analyzed.
Four
main
results
found.
(1)
overall
region
significantly
grew
2019.
dominated
by
expected
improvements,
with
a
average
0.45.
(2)
Land
use
type,
soil
moisture,
surface
temperature,
potential
vapor
dispersion
NDVI
changes,
annual
q
-values
above
0.2.
(3)
effect
two-factor
interactions
greater
than
that
single
factors,
especially
land
type
interacts
other
extent
cover.
(4)
interaction
between
moisture
showed
an
obvious
increasing
trend.
Current
human
activities
had
positive
growth
area.
findings
are
important
ecological
monitoring
security
as
well
desertification
control.
Results in Physics,
Journal Year:
2023,
Volume and Issue:
51, P. 106677 - 106677
Published: July 11, 2023
The
current
study
is
concerned
with
a
predator–prey
model
functional
response
of
Holling
type
II
that
includes
prey
refuge
and
diffusion.
These
types
equations
arise
in
different
fields,
such
as
biomathematics
,biophysics,
polymer
rheology,
agriculture,
thermodynamics,
blood
flow
phenomena,
aerodynamics,
capacitor
theory,
electrical
circuits,
electron-analytical,
chemistry,
control
fitting
experimental
data.
underlying
analytically
investigated
by
technique,
namely
new
extended
direct
algebraic
method
(NEDAM).
single
combined
wave
solutions
are
observed
shock,
complex
solitary-shock,
shock-singular,
periodic-singular
forms.
rational
also
emerged
during
the
derivation.
stability
discussed.
There
section
about
unique
physical
problems.
3D,
2D,
line
graphs
plotted
for
values
parameters.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 1, 2025
ABSTRACT
This
study
investigates
climate
change
impacts
on
spontaneous
vegetation,
focusing
the
Mediterranean
basin,
a
hotspot
for
climatic
changes.
Two
case
areas,
Monti
Sibillini
(central
Italy,
temperate)
and
Sidi
Makhlouf
(Southern
Tunisia,
arid),
were
selected
their
contrasting
climates
vegetation.
Using
WorldClim's
CMCC‐ESM2
model,
future
vegetation
distribution
was
predicted
2050
2080
under
SSP
245
(optimistic)
585
(pessimistic)
scenarios.
spectral
indices,
NDVI
(temperate
area)
SAVI
(arid
area),
served
as
proxies,
classified
into
three
classes
using
K‐means
(NDVI:
high
=
mainly
associated
with
woodlands,
medium
shrublands,
continuous
grasslands
crops,
low
discontinuous
grasslands,
bare
soil,
rocks;
SAVI:
woods,
olive
trees,
shrublands
sparse
soil
saline
areas).
Classes
validated
ESA
WorldCover
2020
data
sampled
via
1390
presence‐only
points.
A
set
of
33
environmental
variables
(topography,
bioclimatic)
screened
Pearson
correlation
matrices,
predictive
models
built
four
algorithms:
MaxEnt,
Random
Forest,
XG
Boost,
Neural
Network.
Results
revealed
increasing
temperatures
declining
precipitation
in
both
regions,
confirming
trends.
Vegetation
changes
varied
by
area:
temperate
area,
woodlands
stable,
but
expanded.
In
arid
gained
suitable
habitat,
while
declined
pessimistic
scenario.
Both
areas
showed
an
upward
shift
grasslands.
The
indicated
significant
shifts
areal
conditions,
affecting
habitat
suitability
ecosystem
dynamics.
MaxEnt
emerged
most
reliable
algorithm
small
datasets,
effectively
predicting
suitability.
findings
highlight
redistribution
altered
dynamics
due
to
change,
underscoring
importance
these
planning
ecological
challenges.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
Vegetation
is
an
important
part
of
the
ecosystem,
so
it
necessary
to
study
changes
vegetation
soil
moisture
in
arid
regions.
In
this
study,
Xinjiang,
a
typical
region
Northwest
China,
was
selected
as
area.
Based
on
total
primary
productivity
(TPP)
and
land
cover
type
data
from
MODIS
remote
sensing
data,
reanalysis
ERA5,
precipitation
potential
evapotranspiration
CRU,
Xinjiang
calculated
over
20-year
period.
Combined
with
collected
simulation
analysis
ecological
water
demand
period
carried
out
based
information,
well
model.
The
mean
value
limiting
coefficient
has
small
range
variation,
fluctuating
around
between
0.344
0.402.
per
unit
area
grasses,
shrubs,
trees
at
full
fertility
stage
varied
ranges
51-106
mm,
125-247
181-393
respectively,
having
larger
demand.
content
different
types
zone
ranked
as:
Mobile
sandy
>
2-year
5-year
naturally
restored
artificial
+
artificially
land,
moisture-rich
soils
were
able
maintain
high
level
species
diversity.
results
paper
provide
very
positive
guidance
for
scientific
management
ecosystems
Xinjiang.