Water-heat-carbon nexus for understanding mechanisms and response thresholds across urbanization gradients
Kaiping Wang,
No information about this author
Chenxing Wang,
No information about this author
Jingran Gao
No information about this author
et al.
Geography and sustainability,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100283 - 100283
Published: March 1, 2025
Language: Английский
The spatio-temporal interactions between rapid urbanization and multiple ecosystem services at the county scale in the Poyang Lake Basin
Guanyu Tu,
No information about this author
Qing Lu,
No information about this author
Fuqing Zhang
No information about this author
et al.
Geomatics Natural Hazards and Risk,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 25, 2025
Language: Английский
The Coupling Coordination Relationship Between Urbanization and Ecosystem Health in the Yellow River Basin: A Spatial Heterogeneity Perspective
Shanshan Guo,
No information about this author
Junchang Huang,
No information about this author
Xiaotong Xie
No information about this author
et al.
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 801 - 801
Published: April 8, 2025
Understanding
the
socioecological
nexus
between
urbanization
and
ecosystem
health
(EH)
is
crucial
for
formulating
sustainable
development
policies.
While
prior
research
has
focused
on
this
topic,
critical
gaps
persist
in
characterizing
distributional
polarization
decomposing
inequality
drivers
within
coupled
human–environment
systems—particularly
China’s
Yellow
River
Basin
(YRB),
a
strategic
region
undergoing
concurrent
ecological
restoration
urbanization.
The
integration
of
kernel
density
estimation
Theil
index
establishes
robust
analytical
framework
to
effectively
overcome
spatial
heterogeneity
limitations
regional
disparity
research.
Therefore,
study
combines
coupling
coordination
degree
(CCD),
nonparametric
estimation,
decomposition
examine
complex
interactions
(EHI)
across
538
county-level
units
from
perspective
heterogeneity.
key
findings
reveal
following:
(1)
Urbanization
exhibited
phased
enhancement
yet
maintained
elementary
developmental
stages
overall,
with
distinct
gradient
descending
eastern/central
riparian
counties
western
hinterlands.
(2)
EHI
showed
marginal
upward
trend,
80.29%
persisted
suboptimal
categories
(EHI-1
EHI-3),
gains
concentrated
high-vegetation
mountainous
areas
(45.72%)
versus
declines
economically
developed
areas.
(3)
CCD
evolved
mild
imbalance
(II-1)
low
(III-1)
but
significant
special
differences—the
midstream
downstream
improved
markedly,
while
upstream
remained
weakest.
(4)
Intragroup
disparities,
particularly
among
middle
reaches,
were
primary
disequilibrium
YRB,
contributing
87.9%
overall
inequality.
In
contrast,
regions
improvements
levels,
accompanied
by
emergence
“multi-polarization”
patterns.
provide
refined
differentiated
decision-making
references
narrowing
gap
coordinated
YRB.
Language: Английский
Analysis of Spatio-Temporal Relationship Between Ecosystem Services and Human Footprints Under Different Human Activity Gradients: A Case Study of Xiangjiang River Basin
Songjia Chen,
No information about this author
Junhua Yan,
No information about this author
Ying‐Ping Wang
No information about this author
et al.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(22), P. 4212 - 4212
Published: Nov. 12, 2024
Clarifying
the
relationship
between
human
activities
and
provision
of
ecosystem
services
has
received
significant
interest
in
recent
years
because
a
growing
need
for
sustainable
socio-ecological
system
development.
Using
multi-source
remote
sensing
data,
we
assessed
spatial
temporal
distribution
footprint
index
five
under
four
activity
gradients
from
2010
to
2020
Xiangjiang
River
Basin.
The
include
water
supply,
soil
conservation,
food
production,
habitat
quality,
carbon
sequestration.
was
analyzed
quantitative
perspectives.
results
showed
that
over
past
10
years,
supply
quality
decreased
by
4.59%
16.49%,
respectively.
other
three
increased,
upstream
area
basin
had
higher
level
provision.
increased
28.83%
characterized
point
patchy
clustering
middle
lower
reaches.
In
terms
characteristics,
primarily
negative.
were
sensitive
within
0−0.4
range.
dominated
trade-offs.
risky
“high–low”
trade-offs
mainly
distributed
As
maximum
fluctuation
ESs
43%,
28%,
making
their
more
complex.
Our
identified
response
thresholds
activities,
providing
guide
ecological
management
development
basins.
Language: Английский