Scientia Agropecuaria,
Год журнала:
2023,
Номер
14(3), С. 291 - 300
Опубликована: Авг. 11, 2023
The
establishment
of
natural
protected
areas
is
one
the
most
effective
strategies
to
conserve
forests
and
their
biodiversity;
however,
uncontrolled
advance
deforestation
resulting
from
change
use
expand
agricultural
frontier
has
become
a
threat
these
intangible
areas.
This
research
aimed
analyze
dynamics
forest
cover
in
Parque
Nacional
Tingo
María
(PNTM)
its
buffer
zone
(ZA)
located
high
jungle
Huánuco
region
Peru.
main
input
was
Sentinel-2
images
that
were
classified
using
Random
Forest
algorithm.
As
result,
coverage
maps
obtained
for
study
area
corresponding
years
2017,
2019,
2021
2023,
achieving
considerable
thematic
accuracy.
During
evaluation
periods,
rates
non-forest
within
PNTM
presented
low
values
-0.26%
(2017
-
2019);
-1.24%
(2019
2021)
-0.02%
(2021
2023).
While
ZA
have
undergone
dynamic
transition,
with
-2.97%;
-4.39%
-1.15%
derived
land
change.
landscape
metrics
suggest
are
moderately
fragmented,
strongly
which
leads
conclusion
fulfilled
objective
maintaining
vegetation
cover.
Ecological Informatics,
Год журнала:
2024,
Номер
80, С. 102493 - 102493
Опубликована: Янв. 22, 2024
In
the
context
of
global
change,
it
is
vital
to
comprehensively
understand
spatial
pattern
and
driving
mechanism
vegetation
growth
maintain
stability
watershed
ecosystems.
Previous
research
has
focused
mainly
on
identifying
main
drivers
growth,
while
direct
indirect
effects
climate,
terrain,
human
activity
have
rarely
been
explored.
This
study
used
Minjiang
River
Basin
(MRB),
an
important
ecological
barrier
largest
in
southeastern
China,
as
example.
The
kernel
normalized
difference
index
(kNDVI)
was
calculated
Google
Earth
Engine
(GEE)
platform
examine
evolution
characteristics
growth.
optimal
parameter-based
geographical
detector
(OPGD)
partial
least
squares
structural
equation
modeling
(PLS-SEM)
were
analyze
how
influenced
kNDVI.
(1)
From
2001
2020,
MRB
predominantly
rated
excellent
or
good,
88.93%
area
showed
increasing
trend
(2)
OPGD
revealed
that
primary
influencing
distribution
kNDVI
included
population
density,
nighttime
light,
elevation
temperature,
which
explained
>40%
variation
interaction
all
paired
enhanced
explanatory
power
kNDVI,
among
strongest
between
density
elevation,
second
temperature.
(3)
PLS-SEM
had
a
negative
effect
terrain
climate
positive
Overall,
total
0.594,
0.233
−
0.495,
respectively,
indicating
outweighed
MRB.
These
findings
not
only
provide
scientific
evidence
for
conservation
management
but
also
offer
useful
reference
other
regions
exploring
complex
causes
patterns
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 13, 2025
ABSTRACT
Effectively
quantifying
plantation
forest
fragmentation
is
crucial
for
vegetation
restoration
and
management
on
the
Loess
Plateau.
Forest
area
density
(FAD)
effectively
measures
fragmentation,
with
multiscale
sensitivity
analysis
essential
determining
appropriate
window
scale
threshold.
This
study
uses
data
from
different
geomorphological
types
(hilly
gully
plateau
region)
of
Various
sizes
are
applied
to
evaluate
FAD
threshold
curve
its
derivative
a
stable
threshold,
while
structural
equation
model
employed
analyze
drivers
fragmentation.
The
results
as
follows:
(1)
variability
decreases
increasing
size,
leveling
off
after
reaching
(2)
Thresholds
vary
by
type
county.
(3)
Two
principal
components
explain
81.27%
stabilization
variation,
strong
correlations
between
similar
types.
(4)
Fragmentation
slowed
2000
2022,
hilly
region
more
fragmented
than
region.
(5)
Stand
structure
mitigates
topographic
climate
change
influences
showing
heterogeneity.
“Core”
maintain
stability,
“Islet”
drive
emphasizes
importance
scale‐specific
adaptive
strategies
in
mitigating
supports
optimizing
ecological
targeted
conservation
strategies,
promoting
sustainable
Remote Sensing,
Год журнала:
2025,
Номер
17(6), С. 1105 - 1105
Опубликована: Март 20, 2025
This
study
aims
to
develop
a
forest
landscape
stability
assessment
framework
that
integrates
structure,
function,
and
resilience
assess
under
different
landform
types
on
the
Loess
Plateau,
propose
differentiated
optimization
strategies.
Remote
sensing
images
ground
survey
data
were
combined
compare
effectiveness
of
machine
learning
models
in
aboveground
biomass
(AGB)
inversion.
Meanwhile,
fragmentation
multifunctionality
assessed,
Landscape
Stability
Index
(LSI)
was
proposed
quantify
regional
stability.
The
main
findings
are
as
follows:
(1)
between
2000
2022,
degree
hilly
gully
region
improved
significantly,
Simpson’s
Diversity
(SDI)
value
showed
an
increasing
trend;
plateau
decreasing
trend
SDI
value.
higher
significant
changes,
while
more
stable,
with
“Interior”
“Dominant”
dominating.
(2)
eXtreme
Gradient
Boosting
model
outperformed
other
AGB
estimation,
R2
=
0.81
RMSE
24.67
ton
ha−1.
(3)
LSI
generally
increased,
especially
Yanchang,
showing
increase
ecological
stability;
decreased,
Baishui,
weakening
Based
results,
strategies
for
stabilities
proposed,
including
hierarchical
management
fragmentation,
multi-objective
improve
SDI,
adaptive
AGB.
this
can
effectively
landscapes,
reveal
differences
restoration
regions,
provide
new
perspectives
Plateau.
Remote Sensing,
Год журнала:
2025,
Номер
17(11), С. 1922 - 1922
Опубликована: Май 31, 2025
Forest
cover
dynamics
are
studied
on
a
routine
basis,
but
how
changes
in
forest
impact
fragmentation
has
rarely
been
over
long
time
period
resolution.
This
is,
however,
important
because
critically
impacts
ecosystem
services,
such
as
biodiversity
and
cooling
effects.
Here,
we
apply
series
of
Landsat
images
from
1986–2018
study
changed
along
with
southern
China.
Furthermore,
attribute
drivers
the
local
air
temperature
changes.
The
region
is
particularly
relevant
it
was
largely
deforested
three
decades
ago,
most
current
forests
result
protection
forestation
measures.
We
found
reduction
index
FFI
(−34.4%)
1986
to
2018.
In
81.2%
area,
increased
decreased,
while
18.5%
area
showed
increases
both
fragmentation.
contribution
human
activities
by
9%,
distinct
spatial
correlation
between
areas
increasing
high
levels
disturbance.
that
average
level
effects
less
than
40%
heavily
dominated
fragmentation,
whereas
primarily
controlled
cover.
These
findings
underscore
role
disturbance
driving
which
turn
affects
functioning
ecosystems.
results
emphasize
need
for
integrated
land
management
strategies
balance
restoration
mitigation
human-induced
sustain
services
face
ongoing
environmental
change.
Forests,
Год журнала:
2023,
Номер
14(7), С. 1427 - 1427
Опубликована: Июль 12, 2023
As
an
important
ecological
ecotone
of
water
and
land
ecosystems,
the
lakeside
is
characterized
by
a
variety
ecosystem
services
high
vulnerability.
Forest
in
resolving
risks
area
building
its
base.
It
to
explore
effect
change
forest
on
landscape
risk
area,
alleviate
contradiction
between
protection
construction
development
realize
sustainable
development.
The
present
study
attempted
spatial
temporal
evolutionary
features
Erhai
rim
region
from
2000
2020
using
bivariate
autocorrelation
multi-scale
geographical
weighted
regression
(MGWR)
models.
following
are
findings
this
investigation
2000–2020
period:
(1)
generally
decreased,
first
increasing
then
decreasing,
was
mainly
occupied
cultivated
artificial
surfaces;
(2)
total
presented
upward
trend,
medium-
higher-risk
areas
were
main
areas,
with
latter
increasing;
(3)
impact
expansion
contraction
intensity
exhibited
heterogeneity.
forms
at
different
stages
differed,
impacts
also
different.
Reasonable
can
effectively
growth
risk,
whereas
shrinkage
would
aggravate
region.
Moreover,
offer
reference
for
exploration
coordinated
optimization
economic
Lake.
Forests,
Год журнала:
2024,
Номер
15(7), С. 1212 - 1212
Опубликована: Июль 12, 2024
There
is
an
urgent
need
for
a
thorough
assessment
of
forest
landscape
fragmentation
to
inform
protection
and
restoration,
reforestation
policies.
However,
there
currently
lack
effective
comprehensive
index
fragmentation,
detailed
knowledge
the
dynamics
remains
insufficient.
Here,
taking
Putian
City
Fujian
Province
in
Southeastern
China
as
case,
we
employed
(FFCI)
capture
key
features
such
patch
size,
number,
distribution.
Then,
bivariate
spatial
autocorrelation
analysis
was
identify
associations
between
static
dynamic
(ΔFFCI),
coupling
modes
among
three
individual
components
FFCI
(mean
area,
MPA;
aggregation
index,
AI;
density,
PD)
were
identified
explore
detail
process
fragmentation.
Finally,
random
model
applied
observe
impact
factors
dynamics.
The
findings
showed
that
landscapes
with
different
degrees
exhibited
more
noticeable
changes
at
both
ends
(i.e.,
either
high
or
lower-level
fragmentation),
intermediate
level
remaining
consistent
from
2000
2020.
Around
18.3%
experienced
decrease
particularly
northern
part
study
while
approximately
81.7%
increasing
trend
indicated
proportion
Low–High-type
grids
highest
17.3%,
followed
by
High–High
type
7.0%.
We
also
eight
modes,
which
indicate
most
significant
pattern
MPA
increase
PD.
Moreover,
anthropogenic
(e.g.,
population
density
night
light
intensity)
found
dominate
during
2000–2020.
This
offers
efficient
research
paradigm
outcomes
are
conducive
in-depth
comprehension
information
supply
scientific
foundation
enhancing
overall
ecological
service
function
forest.