Ecosystem service value and ecological compensation in Qilian Mountain National Park: Implications for ecological conservation strategies
Baiting Zhang,
No information about this author
Qi Feng,
No information about this author
Zhixiang Lu
No information about this author
et al.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
167, P. 112661 - 112661
Published: Sept. 27, 2024
Language: Английский
Analysis of the spatial pattern and causes of ecological environmental quality in Myanmar based on the RSEI model and the Geodetector-GCCM method
Shuangfu Shi,
No information about this author
Shuangyun Peng,
No information about this author
Zhiqiang Lin
No information about this author
et al.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 11, 2025
Facing
the
challenges
brought
about
by
global
climate
change
and
biodiversity
loss,
accurately
assessing
ecological
environmental
quality
(EEQ),
its
driving
factors
are
crucial
for
formulating
effective
strategies
protection
restoration.
However,
there
remains
limited
understanding
of
interactions
causal
relationships
between
multiple
factors,
with
existing
studies
mainly
focusing
on
impact
individual
EEQ
their
correlations.
This
study
took
Myanmar
as
research
area,
employing
a
Remote
Sensing
Ecological
Index
(RSEI)
model
spatial
autocorrelation
analysis
to
quantitatively
evaluate
distribution
characteristics
Myanmar’s
in
2020
reveal
dependence.
Furthermore,
innovatively
integrating
Geodetector
Geographical
Convergent
Cross
Mapping
(GCCM)
methods,
this
systematically
analyzed
impacts
various
spatiotemporal
differentiation
EEQ.
The
results
indicate
that:
(1)
overall
was
relatively
good,
but
is
significant
heterogeneity;
(2)
Local
revealed
clear
clustering
pattern
Myanmar;
(3)
identified
DEM,
slope,
Net
Primary
Productivity
(NPP),
land
use,
human
footprint
dominant
influencing
EEQ,
among
these
factors;
(4)
GCCM
further
verified
effects
NPP,
while
temperature,
precipitation,
use
weaker.
established
technical
framework
analyzing
causes
unveiling
mechanisms
evolution
driven
natural
factors.
It
enriched
human-environment
within
coupled
systems
delved
into
complex
system.
These
insights
enhanced
our
intricate
providing
valuable
references
sustainable
development
Myanmar.
Language: Английский
Assessment of the green development level and the identification of obstacles to grass-based livestock husbandry in the farming–pastoral ecotone of northern China
Ecological Informatics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 103112 - 103112
Published: March 1, 2025
Language: Английский
Ecosystem Services Tradeoffs and Synergies Across Drought Gradients in the Middle Reaches of the Yellow River Basin: A Time Scale Perspective
Ecohydrology,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: Jan. 1, 2025
ABSTRACT
In
the
context
of
global
climate
change,
understanding
tradeoffs
and
synergies
between
ecosystem
services
(ESs)
is
essential
for
regional
ecological
management
sustainable
development.
This
study
simulated
net
primary
productivity
(NPP)
quick
flow
(QF)
in
Middle
Reaches
Yellow
River
Basin
(MRYRB)
2000
2020,
utilizing
Carnegie–Ames–Stanford
Approach
(CASA)
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
models
to
assess
ESs
related
carbon
sequestration
(CS)
water
yield
(WY).
The
synergistic
multi‐temporal
scale
changes
under
different
drought
conditions
were
assessed
by
delineating
regions
with
frequencies.
results
showed
that
(1)
mean
NPP
MRYRB
increased
from
189.03
g
C/m
2
335.94
reflecting
a
77.71%
rise,
while
annual
QF
escalated
41.20
mm
59.59
marking
an
increase
44.64%;
(2)
on
monthly
scale,
tradeoff
synergy
relationships
exhibited
distinct
seasonal
variations,
prevailing
throughout
year
shift
CS
WY
during
summer
fall.
On
was
dominant
relationship;
(3)
intensity
varied
gradients,
highest
observed
high‐frequency
areas
at
whereas,
low‐frequency
strongest
synergies.
provides
in‐depth
analysis
interactions
varying
across
time
scales.
findings
highlight
differences
ESs,
offering
valuable
scientific
insights
coordinated
ecosystems.
Language: Английский
Incorporating Ecosystem Service Trade-Offs and Synergies with Ecological Sensitivity to Delineate Ecological Functional Zones: A Case Study in the Sichuan-Yunnan Ecological Buffer Area, China
Peipei Miao,
No information about this author
Cansong Li,
No information about this author
Baichuan Xia
No information about this author
et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1503 - 1503
Published: Sept. 16, 2024
Enhancing
regional
ecosystem
stability
and
managing
land
resources
effectively
requires
identifying
ecological
function
zones
understanding
the
factors
that
influence
them.
However,
most
current
studies
have
primarily
focused
on
service
bundles,
paying
less
attention
to
trade-offs,
synergies,
sensitivity,
leading
a
more
uniform
approach
functional
zoning.
This
study
aimed
analyze
describe
spatial
temporal
patterns
of
four
essential
services,
including
water
yield
(WY),
net
primary
productivity
(NPP),
soil
conservation
(SC),
habitat
quality
(HQ),
in
Sichuan-Yunnan
buffer
area
over
period
from
2005
2019.
Spatial
overlay
analysis
was
used
assess
bundles
define
zones.
Geographic
detectors
were
then
applied
identify
drivers
variation
these
The
findings
showed
progressive
improvement
functions
within
zone.
Between
2019,
NPP,
conservation,
all
demonstrated
positive
trends,
while
HQ
displayed
declining
trend.
There
significant
heterogeneity
distinct
functions,
with
general
decrease
southwest
northeast,
particularly
NPP
HQ.
Trade-offs
evident
between
WY
northeast
east
regions.
Ecological
sensitivity
decreased
northeast.
Regions
higher
situated
southwestern
region,
their
distribution
pattern
comparable
high
quality.
categorized
areas
into
various
types,
human
production
settlement
zones,
ecologically
vulnerable
transition
accounting
for
17.28%,
22.30%,
7.41%,
53.01%
total
area,
respectively.
environmental
factor
affecting
zoning
identified
as
precipitation,
main
social
variables
activity
population
density.
enhances
supports
sustainable
development
offering
important
guidance
Language: Английский