Forests,
Journal Year:
2024,
Volume and Issue:
15(9), P. 1579 - 1579
Published: Sept. 9, 2024
Chestnut
(Castanea
sativa
Mill.)
forests
in
the
Mediterranean
region
are
facing
increasing
abandonment
due
to
a
combination
of
factors,
ranging
from
climate
change
socioeconomic
issues.
The
recovery
chestnut
ecosystems
and
their
preservation
valorization
key
ensuring
supply
wide
spectrum
ecosystem
services
they
provide
preventing
detrimental
environmental
shifts.
study’s
objective
was
evidence
on
effects
different
management
options
ecophysiology
forests,
with
diverse
pruning
intensities
(low,
medium,
high
intensity
versus
no
pruning)
tested
an
abandoned
stand
central
Italy
aim
recovering
rehabilitating
it
for
fruit
production.
Innovative
Internet
Things
(IoT)
‘Tree
Talker’
devices
were
installed
single
trees
continuously
monitor
measure
ecophysiological
(i.e.,
water
transport,
net
primary
productivity,
foliage
development)
microclimatic
parameters.
Results
show
reduction
use
subjected
medium-
high-intensity
treatments,
along
decrease
carbon
sequestration
function.
However,
interestingly,
results
highlight
that
regain
usual
sap
flow
sink
activity
at
end
first
post-pruning
growing
season
fully
realign
during
following
year,
as
also
confirmed
by
NDVI
values.
As
such,
this
paper
demonstrates
efficacy
managing
initial
setback
resulting
is
rapidly
remedied
advantage
reviving
Additionally,
reduced
demand
induced
could
represent
promising
adaptation
strategy
change,
bolstering
resilience
prolonged
intensified
drought
periods,
which
projected
increase
under
future
scenarios,
particularly
region.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
80, P. 102532 - 102532
Published: Feb. 22, 2024
Understanding
the
intricate
relationship
between
climate
variables
and
Normalized
Difference
Vegetation
Index
(NDVI)
is
essential
for
effective
ecosystem
management.
This
study
focuses
on
spatiotemporal
dynamics
of
NDVI
its
interaction
with
in
ecologically
diverse
Khyber
Pakhtunkhwa
(KPK)
Province,
Pakistan,
from
2000
to
2022.
The
research
methodology
involves
analyzing
satellite
images
meteorological
datasets
examine
surface
latent
heat
flux
(SHF),
total
precipitation
(TPP),
temperature
(T),
soil
(ST),
pressure
(TP).
KPK
Province's
ecological
significance
complex
climate-vegetation
interactions
drive
selection
this
area.
uses
multiple
linear
regression
analysis
investigate
how
T,
TPP,
SHF,
TP
influence
NDVI.
Mann-Kendall
test
detects
trends,
Sen's
slope
estimator
quantifying
trend
magnitudes.
Additionally,
correlation
coefficients
provide
insights
into
long-term
changes
association
strengths.
findings
highlight
a
consistent
upward
mean
over
23
years,
revealing
an
overall
increase
NDVI,
particularly
vegetation-dense
areas
where
it
rose
0.27
0.32.
showed
annual
growth
rate
0.84%
entire
area,
specific
vegetated
zones
exhibiting
slightly
lower
0.80%.
However,
average
yearly
higher
vegetation-specific
(0.00237)
compared
whole
area
(0.00151).
occurs
alongside
statistically
significant
decrease
SHF
PPT,
suggesting
adaptation
vegetation
changing
conditions
Province.
In
contrast,
exhibits
negative
−5.952e-06
(p
<
0.05),
indicating
pronounced
downward
trend.
Similarly,
estimate
demonstrates
−0.0001
showing
diminishing
precipitation.
uncovers
linkages
within
These
have
far-reaching
implications,
guiding
decision-making
land
management,
conservation
efforts,
global
resilience
strategies.
Ultimately,
underscores
critical
role
data-driven
approaches
shaping
greener
more
sustainable
future.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(4), P. 1578 - 1578
Published: Feb. 16, 2024
Gelephu,
located
in
the
Himalayan
region,
has
undergone
significant
development
activities
due
to
its
suitable
topography
and
geographic
location.
This
led
rapid
urbanization
recent
years.
Assessing
land
use
cover
(LULC)
dynamics
Normalized
Difference
Vegetation
Index
(NDVI)
can
provide
important
information
about
trends
changes
vegetation
health,
respectively.
The
of
Geographic
Information
Systems
(GIS)
Remote
Sensing
(RS)
techniques
based
on
various
satellite
products
offers
a
unique
opportunity
analyze
these
at
local
scale.
Exploring
Bhutan’s
mandate
maintain
60%
forest
analyzing
LULC
transitions
using
Sentinel-2
imagery
10
m
resolution
insights
into
potential
future
impacts.
To
examine
these,
we
first
performed
mapping
for
Gelephu
2016
2023
Random
Forest
(RF)
classifier
identified
changes.
Second,
study
assessed
change
within
area
by
analysing
NDVI
same
period.
Furthermore,
also
characterized
resulting
Thromde,
sub-administrative
municipal
entity,
as
result
notable
intensity
infrastructure
activities.
current
used
framework
collect
data,
which
was
then
pre-and
post-processing
create
maps.
classification
model
achieved
high
accuracy,
with
an
under
curve
(AUC)
up
0.89.
corresponding
statistics
were
analysed
determine
status
indices,
analysis
reveals
urban
growth
5.65%
15.05%
assessment
shows
deterioration
health
75.11%
loss
healthy
between
2023.
results
serve
basis
strategy
adaption
required
environmental
protection
sustainable
management,
policy
interventions
minimize
balance
ecosystem,
taking
account
landscape.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(16), P. 3059 - 3059
Published: Aug. 20, 2024
Degradation
and
desertification
represent
serious
threats,
as
they
present
severe
environmental
socio-economic
consequences,
demanding
immediate
action.
Although
a
recognized
methodology
for
assessing
degradation
is
missing,
remote
sensing
has
been
powerful
support
its
accessibility
efficacy.
The
aim
of
this
study
to
examine
the
application
land
soil
desertification.
A
total
278
research
papers
retrieved
from
Scopus/Web
Science
database
published
over
past
decade
have
analyzed.
From
analysis
scientific
publications,
rising
interest
these
topics
dominance
China
registered.
Established
satellite
data,
Landsat,
MODIS,
despite
limitations
in
accuracy
resolution,
remain
popular
due
easy
access.
This
restricts
broader
scales
limits
practical
applications
like
management.
prevalent
use
vegetation
indexes,
while
convenient,
can
be
misleading
their
indirect
connection
health.
Consequently,
vegetation-based
models
may
not
fully
capture
complexities
involved.
To
improve
understanding,
suggests
shift
towards
multi-indexes
move
away
relying
solely
on
readily
available
data
products.
Moreover,
fusion
methods
could
provide
more
holistic
view.
Forests,
Journal Year:
2024,
Volume and Issue:
15(3), P. 486 - 486
Published: March 5, 2024
China
has
implemented
several
ecological
projects
in
the
Loess
Plateau
region
to
address
severe
land
degradation
and
soil
erosion.
Accurately
assessing
restoration
its
driving
factors
remains
challenging.
Previous
studies
this
area
concentrated
on
have
mainly
focused
natural
at
regional
or
watershed
scale,
with
limited
consideration
of
socioeconomic
county
scale.
In
study
conducted
Huanglong
County
Plateau,
focus
was
fill
gaps
previous
research
provide
insights
into
forces
behind
vegetation
greening.
Remote
sensing
image
data
(NDVI)
from
1999
2019
were
used
analyze
greenness
dynamics
region.
Five
variables
considered,
including
afforestation
intensity,
deforestation
agricultural
village
road
intensity
layers,
characterize
impact
afforestation,
agriculture,
urbanization
policies.
The
RESTREND
(residual
trends)
method
employed
assess
relative
importance
climate
human
activities
dynamics.
This
found
that
temperature–NDVI
relationships
are
more
suitable
for
building
models
than
precipitation–NDVI
relationships.
Human
activity
main
driver
dynamics,
contributing
62%
compared
38%
change.
Agricultural
practices
a
positive
restoration,
while
had
no
significant
impact.
These
findings
highlight
conceptual
framework
understanding
intricate
relationship
between
climatic
factors,
Plateau.
suggests
progress
been
made
through
efforts
combating
degradation.
However,
it
emphasizes
need
strengthen
conservation
gradually
transition
toward
processes
driven
by
sustainable
development.
methodology
can
be
applied
explore
other
regions
facing
human-driven
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(16), P. 10343 - 10343
Published: Aug. 19, 2022
Vegetation
is
an
important
part
of
a
regional
ecological
environment
and
vegetation
coverage
can
reflect
the
health
environment.
Through
analysis
research
into
changes
in
NDVI
(normalized
difference
index)
its
driving
factors
Pearl
River
Delta
region,
spatial–temporal
pattern
be
measured.
It
significance
to
improve
quality
region
promote
sustainable
development
economy.
Based
on
SPOT/VEGETATION
satellite
remote
sensing
data,
meteorological
population
density
gross
domestic
product
(GDP)
data
during
period
2000–2019,
this
paper
analyzed
temporal
spatial
trends
as
well
climate
human
activities
pixel
scale.
The
correlations
between
precipitation,
temperature,
density,
GDP,
other
were
also
estimated.
results
showed
that
annual
mean
significantly
increased,
with
growth
rate
0.0044
(R2
=
0.71,
p
<
0.0001).
center
was
lower
than
regions.
As
far
concerned,
among
climatic
factors,
response
temperature
higher
for
precipitation
Delta.
Human
had
changed
from
negative
hindering
effect
positive
promoting
effect.
correlation
GDP
density.
Policy
such
“Grain
Green
Project”
increase
sown
area
crops
land
use
NDVI.
suggested
increased
by
implementation
artificial
afforestation
policies,
building
“Green
City”,
moderately
increasing
crops.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(4), P. 3073 - 3073
Published: Feb. 8, 2023
To
tackle
ecological
problems,
many
restoration
projects
have
been
implemented
in
northern
China.
Identifying
the
drivers
of
vegetation
change
is
critical
for
continued
engineering.
In
this
study,
three
typical
reserves
Three-North
Shelter
Forest
Program
Region
(TNSFR)
were
selected
to
identify
their
development
characteristics
and
driving
mechanisms
using
normalized
difference
index
(NDVI),
climate
factors,
land
use
data.
The
results
show
that
(1)
NDVIs
increased
range
human
activities
all
reserves,
indicating
an
obvious
effect
projects.
(2)
planting
period,
was
mainly
correlated
with
activities.
After
entering
tending
impact
changes
on
dynamics
enhanced.
(3)
Temperature
precipitation
provided
approximate
effects
I,
while
Regions
II
III
more
strongly
precipitation.
(4)
proportion
areas
measures
exceeded
50%
regions.
short,
dominated
quantity
restoration,
influenced
quality
restoration.
