Coupling process of carbon sink service flow based on metacoupling framework
Yan Zhang,
No information about this author
Dongjie Guan,
No information about this author
Lilei Zhou
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 24, 2025
Carbon
sink
service
(CSS)
is
crucial
in
addressing
global
warming
and
provides
theoretical
support
for
research
on
human‒system
coupling.
CSS
generation,
flow,
utilization
the
composite
ecosystem
of
mountains,
rivers,
forests,
farmlands,
lakes,
grasslands
(CEMRFFLG)
sustainable
development.
Quantifying
coupled
supply‒flow‒demand
processes
mechanisms
CEMRFFLG
remains
a
pressing
issue
study
carbon
flows
(CSSFs).
First,
quantify
supply
demand
situation
Chongqing.
Second,
coupling
process
CSSF
among
water,
forest,
farmland,
grassland
subsystems
explored
via
breakpoint
model
combined
with
metacoupling
framework.
Finally,
multiscenario
simulation
was
performed
to
reveal
its
flow
mechanism.
The
results
show
that:
(1)
Net
primary
productivity
(NPP)
mainly
comes
from
emissions
(CEs)
come
farmland.
(2)
During
telecoupling,
forest
subsystem
has
highest
total
value
outflow
inflow
plots,
accounting
35.51%
61.24%
total,
respectively.
(3)
moves
areas
human
activities.
This
paper
proposes
optimization
suggestions
essential
achieving
complex
ecosystem's
Language: Английский
Multi-Scenario Simulating the Effects of Land Use Change on Ecosystem Health for Rural Ecological Management in the Zheng–Bian–Luo Rural Area, Central China
Hejie Wei,
No information about this author
Qing Han,
No information about this author
Yu Ma
No information about this author
et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(11), P. 1788 - 1788
Published: Oct. 30, 2024
A
healthy
rural
ecosystem
ensures
a
win–win
situation
for
both
economic
growth
and
ecological
conservation.
However,
the
impact
of
land
use
changes
at
level
on
health
remains
unclear.
This
study
focuses
scale
Zheng–Bian–Luo,
analyzing
in
from
2000
to
2020.
Using
“Ecosystem
Vigor-Organization-Resilience-Services”
model,
evaluates
spatiotemporal
patterns
health.
The
Patch-generating
Land
Use
Simulation
(PLUS)
model
was
employed
simulate
2035
under
three
scenarios:
Natural
Development
(ND),
Ecological
Protection
(EP),
Cropland
(CP).
findings
are
as
follows:
(1)
From
2020,
area
cultivated
Zheng–Bian–Luo
areas
decreased,
forest
first
decreased
then
increased.
(2)
During
period,
improved
vigor,
organization,
services
Low-value
showed
shrinking
trend,
most
notably
Kaifeng.
(3)
By
2035,
EP
scenario,
increased
by
76.794
km2,
while
it
CP
ND
scenarios.
Construction
an
increasing
trend
all
scenarios,
with
scenario
seeing
largest
increase
718.007
km2.
(4)
In
is
projected
decline
due
reduced
construction
land.
no
significant
change
health,
but
southwestern
Luoyang
improved.
saw
overall
highlighting
optimization
beneficial.
Local
governments
encouraged
create
protection
plans
balancing
protection,
focusing
sensitive
such
Songshan
region
mountainous
coordinated
development.
Language: Английский
Land Use Change and Its Impact on the Quality of the Ecological Environment in Xinjiang
Zhenyu Han,
No information about this author
Shu Wu,
No information about this author
Jie Liu
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 10114 - 10114
Published: Nov. 20, 2024
Xinjiang
is
a
key
area
for
implementing
the
Belt
and
Road
Initiative,
as
well
an
ecological
security
barrier
in
Northwest
China.
In
this
study,
remote
sensing
index
(RSEI)
was
constructed
on
basis
of
Google
Earth
Engine
(GEE)
platform
combined
with
multiperiod
(MODIS)
imagery
to
analyze
land
use
changes
their
impacts
environmental
quality
from
2000
2023.
The
results
are
follows.
(1)
areas
concentrated
mainly
oasis
around
mountain
ranges
Tarim
Basin.
(2)
overall
environment
showed
insignificant
linear
decreasing
trend,
annual
rate
change
−0.0009
a−1
(p
>
0.05).
(3)
spatial
distribution
RSEI
revealed
significant
positive
correlation
clustering
pattern,
which
high
west
low
east.
(4)
increase
cultivated
had
effect
improving
Xinjiang.
When
increased
by
10%,
improvement
8.8%.
Language: Английский