Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
157, P. 111303 - 111303
Published: Nov. 22, 2023
Understanding
of
the
ecosystem
services
(ESs)
supply–demand
balance,
coupling,
and
coordination
are
vital
for
sustainable
development
in
society.
To
reveal
changing
pattern
underlying
mechanisms
matching,
ESs,
this
study,
we
used
InVEST
model
to
quantify
supply
following
three
ESs
Hunan
Province
central
China
from
2000
2018:
soil
conservation
(SC),
water
yield
(WY),
carbon
retention
(CR).
Using
socioeconomic
data,
capacity
demand
food
(FS)
other
were
quantitatively
evaluated.
The
Z-score
standardized
data
divide
quadrants
clarify
matching
situation.
Additionally,
elasticity
coefficient
coupling
degree
(CCD)
evaluate
relationship
level.
Our
results
indicate
following:
(1)
CR
FS
increased
by
12.67%
19.48%,
respectively,
while
that
SC
WY
decreased
2.57%
22.83%,
respectively;
SC,
WY,
CR,
0.329%,
9.43%,
142.05%,
6.23%,
respectively.
is
less
than
demand,
showing
a
clear
contradiction;
exceeded
demand;
both
had
notable
spatial
heterogeneity.
(2)
area
high
supply–high
(HS–HD)
supply–low
(HS–LD)
types
decreased,
whereas
low
(LS–LD)
(LS–HD)
increased.
Changsha–Zhuzhou–Xiangtan
urban
agglomeration
(CZX)
selected
districts
northern
face
shortage
ESs.
(3)
was
primarily
positive
negative.
(4)
CCD
four
an
unbalanced
state
demonstrated
different
trends.
This
study
provides
novel
insights
decision-making
regarding
optimisation
land
use
Province.
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: May 22, 2024
Long-term,
daily,
and
gap-free
Normalized
Difference
Vegetation
Index
(NDVI)
is
of
great
significance
for
a
better
Earth
system
observation.
However,
gaps
contamination
are
quite
severe
in
current
daily
NDVI
datasets.
This
study
developed
0.05°
dataset
from
1981-2023
China
by
combining
valid
data
identification
spatiotemporal
sequence
gap-filling
techniques
based
on
the
National
Oceanic
Atmospheric
Administration
dataset.
The
generated
more
than
99.91%
area
showed
an
absolute
percent
bias
(|PB|)
smaller
1%
compared
with
original
data,
overall
R2
root
mean
square
error
(RMSE)
0.79
0.05,
respectively.
PB
RMSE
between
our
MODIS
gap-filled
(MCD19A3CMG)
during
2000
to
2023
7.54%
0.1,
three
monthly
datasets
(i.e.,
GIMMS3g,
MOD13C2,
SPOT/PROBA)
only
-5.79%,
4.82%,
2.66%,
To
best
knowledge,
this
first
long-term
far.
Reviews of Geophysics,
Journal Year:
2025,
Volume and Issue:
63(1)
Published: Jan. 2, 2025
Abstract
Physical
and
chemical
erosion
associated
with
water
both
affect
land–atmosphere
carbon
exchanges.
However,
previous
studies
have
often
addressed
these
processes
separately
or
used
oversimplified
mechanisms,
leading
to
ongoing
debates
uncertainties
about
erosion‐induced
fluxes.
We
provide
an
overview
of
the
on‐site
uptake
fluxes
induced
by
physical
(0.05–0.29
Pg
C
yr
−1
,
globally)
(0.26–0.48
).
Then,
we
discuss
off‐site
dynamics
(during
transport,
deposition,
burial).
Soil
organic
mineralization
during
transport
is
nearly
0.37–1.20
on
globe.
also
summarize
overall
into
estuaries
(0.71–1.06
)
identify
sources
different
types
within
them,
most
which
are
land
erosion.
Current
approaches
for
quantifying
physical‐erosion‐induced
vertical
focus
two
distinct
temporal
scales:
short‐term
(ranging
from
minutes
decades),
emphasizing
net
flux,
long‐term
(spanning
millennial
geological
timescales),
examining
fate
eroded
over
extended
periods.
In
addition
direct
measurement
modeling
approaches,
estimation
using
indicators
riverine
material
popular
constraining
chemical‐erosion‐driven
Lastly,
highlight
key
challenges
related
To
overcome
potential
biases
in
future
studies,
strongly
recommend
integrated
research
that
addresses
a
well‐defined
timescale.
A
comprehensive
understanding
mechanisms
driving
lateral
crucial
closing
global
budget.
Global Ecology and Conservation,
Journal Year:
2023,
Volume and Issue:
42, P. e02393 - e02393
Published: Jan. 31, 2023
Fragile
ecological
regions
are
the
key
zones
for
conducting
engineering
construction.
Exploring
intrinsic
linkage
between
vegetation
dynamics
and
climate
change
human
activities
is
important
government
to
formulate
reasonable
effective
environmental
protection
policies
in
different
types
of
ecologically
fragile
regions.
This
study
used
Net
Primary
Productivity
(NPP)
as
an
indicator,
based
on
multitemporal
land
use
data,
separate
anthropogenic
climatic
disturbance
areas.
We
revealed
dynamics,
explored
roles
temperature
precipitation,
assessed
relative
contributions
four
China
from
2001
2019.
The
indicated
that
NPP
showed
increasing
trends
degrees
arid
region
northwest
(AN),
Loess
Plateau
(LP),
Tibetan
(TP)
karst
southwest
(KS)
early
21st
century.
correlation
precipitation
was
higher
than
In
northern
zone,
cause
increase
NPP.
drought
resistance
largely
symbolized
its
ability
resist
risk
degradation.
Climate
has
played
a
positive
role
growth
Except
TP,
have
contributed
construction
other
regions,
with
strongest
contribution
LP
(2.10
gC
m−2
yr−1),
which
some
progress
this
region.
Due
degradation
forests
grasslands
caused
by
overgrazing
farmland
reclamation
departments
should
give
timely
attention
security
avoid
causing
future,
we
suggest
natural
humanitarian
characteristics
be
considered
before
formulating
measures
reasonably
taken
achieve
effectiveness
standardization
management.
Land Degradation and Development,
Journal Year:
2023,
Volume and Issue:
34(16), P. 5055 - 5070
Published: July 16, 2023
Abstract
In
light
of
the
recent
pressure
from
global
warming,
extreme
drought
events,
and
deleterious
human
activity,
strength
long‐term
change
trends
vegetation
in
karst
regions—in
terms
their
resistance
to
external
disturbances—have
not
been
studied
systematically.
Therefore,
herein,
we
quantified
resilience
its
nonlinear
south
China
under
different
environmental
gradients
by
measuring
lag‐1
autocorrelation
time‐series
Normalized
Difference
Vegetation
Index
(1990–2018),
clarifying
driving
forces
changes.
It
was
shown
that
monotonous.
first
stage
(pre‐2002),
precipitation
warming
promoted
increase
regional
(
slope
=
−0.045,
p
<
0.0001).
second
(during
2002–2010),
increasing
trend
obvious
difficult
keep
up
with
productivity,
indicating
time‐lagged
effect
ecological
restoration
projects
resilience.
third
(post‐2010),
due
continuous
advancement
projects,
increased
significantly
had
largest
amplitude
−0.128,
Simultaneously,
gradients,
showed
significant
differentiation
characteristics.
comparison
non‐karst
regions,
increases
were
more
regions
especially
post‐2010.
With
soil
depth,
exhibited
an
trend,
dependence
on
soil.
At
slopes
>25°,
most
obviously
meadows
largest,
which
can
be
preferred
type
for
projects.
This
research
provides
another
perspective
understand
ecosystem
results
will
facilitate
protection
ecosystems.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 7, 2024
Abstract
The
impact
of
soil
erosion
on
quality
is
still
not
systematically
understood.
purpose
this
study
was
thus
to
quantify
the
and
its
change
with
slope
morphology
in
an
agricultural
field,
northeastern
China
based
radionuclide
137
Cs,
unmanned
aerial
vehicle
derived
high
resolution
digital
elevation
model,
sampling.
Cs
method
yielded
average
rate
−
275
t
km
−2
yr
−1
ranging
from
1870
1557
.
index
total
dataset
(SQI_TDS)
can
be
well
explained
by
that
minimum
data
set
(SQI_MDS)
a
determination
coefficient
R
2
0.874.
SOM,
sand,
cation
exchange
capacity
MDS
play
more
important
roles
than
other
indicators.
Soil
significantly
affected
erosion,
Adj.
0.29
0.33
for
SQI_TDS
SQI_MDS,
respectively.
spatial
variations
were
both
topography.
must
controlled
according
topographic
characteristics
China.
Land,
Journal Year:
2022,
Volume and Issue:
11(8), P. 1284 - 1284
Published: Aug. 10, 2022
Identifying
the
impacts
of
climatic
factors
on
runoff
change
has
become
a
central
topic
in
climate
and
hydrology
research.
This
issue,
however,
received
minimal
attention
karst
watersheds
worldwide.
Multi-resolution
analysis
(MRA),
continuous
wavelet
transform
(CWT),
cross
(XWT)
coherence
(WTC)
are
used
to
study
teleconnection
time
frequency
between
hydrological
processes
typical
watershed
at
different
scales.
The
main
results
are:
(1)
All
exhibit
cycle
12-month
scales
with
changes,
but
periodic
bandwidth
rainfall
changes
is
much
wider
than
that
temperature
evaporation,
indicating
factor
affecting
changes.
(2)
In
other
cycles,
impact
interlacing
phenomena
positive
negative,
evaporation
mainly
negative.
(3)
response
high-energy
region
low-energy
significant-correlation
shown
correlation
smaller
phase
angle,
it
slightly
lagged
16-month
Moreover,
lags
behind
for
1–2
months
those
regions.
(4)
It
been
found
there
strong
effect
over
runoff,
lesser
runoff.
sheds
light
teleconnections
rainfall,
evapotranspiration
surface
which
turn
might
help
attain
better
management
water
resources
watersheds.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: April 2, 2024
Background
:
Air
pollution,
characterized
by
complex
spatiotemporal
dynamics
and
inherent
uncertainty,
poses
significant
challenges
in
accurate
air
quality
prediction,
current
methodologies
often
fail
to
adequately
address
these
complexities.
Objective:
This
study
presents
a
novel
fuzzy
modeling
approach
for
estimating
pollution
concentrations.
Methods:
evaluation
method
integrates
an
improved
evidence
theory
with
comprehensive
weighting
the
K-nearest
neighbor
(KNN)
interval
distance
within
framework
of
matter-element
extension
model.
involves
generating
basic
probability
assignment
(BPA)
based
on
similarity,
performing
sequential
fusion
using
Dempster–Shafer
theory,
enhancing
results
via
weighting,
conducting
concentrations
KNN
distance.
Results:
Our
achieved
improvements
monitoring
concentrations,
incorporating
factors
pollutant
more
effectively
than
existing
methods.
Implementing
subjective–objective
reduced
error
rate
38%
relative
alternative
Discussion:
Fusion
multi-source
data
this
mitigates
uncertainty
enhances
accuracy
method.
It
produces
concentration
results,
improving
considering
correlation,
toxicity,
levels.
Compared
traditional
air-quality
indices,
our
achieves
greater
better
interpretability,
making
it
possible
develop
effective
management
strategies.
Future
research
should
focus
expanding
dataset
include
diverse
geographical
meteorological
conditions,
further
refining
model
integrate
external
like
regional
industrial
activity,
computational
efficiency
real-time
applications.