Forests,
Год журнала:
2024,
Номер
15(11), С. 1844 - 1844
Опубликована: Окт. 22, 2024
Nature-based
solutions
(NbSs)
of
biodiversity
conservation
and
ecosystem
restoration
have
been
paid
increasing
attention
as
an
essential
approach
to
slow
down
climate
change.
However,
what
degree
NbS
will
contribute
the
combined
effects
human
intervention
change
has
not
well
studied.
From
a
habitat
quality
perspective,
we
set
four
scenarios
analyze
whether
NbS—mangrove
in
particular—will
be
enough
for
Xiamen
Bay
Fujian
Province,
China.
The
module
InVEST
model
(InVEST-HQ)
Sea
Level
Affecting
Marshes
Model
(SLAMM)
were
used
simulate
spatial-temporal
changes
types
quality.
Results
show
that
(1)
rising
sea
levels
cause
coastal
squeeze
effects,
impacting
due
erosion
inundation
study
area;
(2)
mangrove
is
effective
way
mitigate
increase
quality;
(3)
further
analysis
effectiveness
shows
consideration
fragmentation
sea-use
impacts
are
necessary.
findings
this
enrich
international
discussion
NbSs
areas.
Land,
Год журнала:
2025,
Номер
14(3), С. 584 - 584
Опубликована: Март 10, 2025
Wetland
ecosystems
are
essential
to
the
global
carbon
cycle,
and
they
contribute
significantly
storage
regulation.
While
existing
studies
have
explored
individual
effects
of
water
depth,
vegetation,
soil
properties
on
organic
(SOC)
components,
a
comprehensive
study
interactions
between
these
factors
is
still
lacking,
particularly
regarding
their
collective
impact
composition
SOC
in
wetland
soils.
This
paper
focused
Huixian
Li
River
Basin.
The
variations
its
fractions,
namely
dissolved
carbon,
microbial
biomass
light
fraction
mineral-associated
under
different
depths
vegetation
conditions
were
examined.
Additionally,
(pH
bulk
density,
total
phosphorus
(TP),
nitrogen
(TN),
ammonium
(NH4-N),
nitrate
(NO3-N))
changes
components
quantified.
Specific
depth–vegetation
combinations
favor
accumulation,
with
Cladium
chinense
at
depth
20
cm
Phragmites
communis
40
exhibiting
higher
content.
positively
correlated
plant
biomass,
TP,
TN,
NH4-N.
coupling
had
significant
effect
contributing
74.4%
variation
fractions.
Among
them,
explained
7.8%,
7.3%,
6.4%
changes,
respectively,
25.6%
changes.
three
influenced
components.
Optimal
level
management
strategic
planting
can
enhance
capacity
increase
research
offers
valuable
insights
for
effectively
managing
sinks
reserves.
Land,
Год журнала:
2024,
Номер
13(10), С. 1688 - 1688
Опубликована: Окт. 16, 2024
Urban
green
spaces
play
a
crucial
role
in
providing
social
services
and
enhancing
residents’
mental
health.
It
is
essential
for
sustainable
urban
planning
to
explore
the
relationship
between
human
perceptions,
particularly
their
visual
comfort.
However,
most
current
research
has
analyzed
using
two-dimensional
indicators
(remote
sensing),
which
often
overlook
perceptions.
This
study
combined
three-dimensional
methods
evaluate
spaces.
Additionally,
employed
machine
learning
quantify
comfort
green-space
environments
explored
The
results
indicated
that
Kitakyushu
exhibited
moderate
FCV
an
extremely
low
Green
View
Index
(GVI).
Yahatanishi-ku
was
characterized
as
having
highest
Tobata-ku
demonstrated
lowest
Natural,
GVI,
openness,
enclosure,
vegetation
diversity,
landscape
NDBI
were
positively
correlated
with
ENVI
negatively
Vegetation
diversity
had
impact
on
improving
By
integrating
remote
sensing
street-view
data,
this
introduces
methodology
ensure
more
holistic
assessment
of
planners
could
use
it
better
identify
areas
insufficient
space
or
require
improvement
terms
quality.
Meanwhile,
be
helpful
valuable
input
formulating
effective
policies
overall
environmental
provides
scientific
foundation
improve
construction
healthy
cities.
E3S Web of Conferences,
Год журнала:
2024,
Номер
536, С. 01006 - 01006
Опубликована: Янв. 1, 2024
In
the
framework
of
“dual
carbon,”
correlation
between
energy
usage
and
enduring
advancement
Pearl
River
Delta
(PRD)
urban
cluster,
emblematic
China’s
reform
opening
policies,
has
garnered
considerable
interest
across
different
segments
society.
The
problem
measuring
regional
high-quality
development
is
related
to
many
indicators
variables,
quantitative
measurement
this
topic
a
complex
systematic
project.
Based
on
high
degree
specificity
region,
we
have
constructed
dynamic
comprehensive
system
advanced
for
nine
cities
in
PRD
region
using
intensive
socio-economic
development,
construction
social
security
system,
structure
efficiency
consumption,
harmony
human
beings
natural
environment
as
secondary
indicators.
Utilizing
relevant
data
throughout
period
spanning
from
2005
2020,
encompassing
within
region.
study
utilized
various
methodologies
including
kernel
density
estimation
model,
GIS
spatial
Dagum
Gini
coefficient
method,
simulation
calculations
delve
into
current
status
trends
conglomeration.
It
also
examined
primary
barriers
conglomeration
mechanisms
underlying
internal
coordination
research
suggests
that
enhancing
level
relies
improving
utilization
efficiency,
transitioning
traditional
industries,
promoting
eco-friendly
industries.
These
findings
offer
decision-makers
valuable
insights
practical
guidance
advancing
Land,
Год журнала:
2024,
Номер
13(7), С. 1018 - 1018
Опубликована: Июль 8, 2024
Over
the
past
few
decades,
China
has
undergone
largest
and
fastest
urbanization
process
in
world
history.
By
2023,
Chengdu’s
rate
had
reached
80.5%,
significantly
higher
than
national
average
of
66.16%.
Studying
experience
Chengdu
is
great
significance
for
optimizing
urban
planning
policies
other
cities
China.
Although
much
literature
explored
from
macro
micro
perspectives,
studies
using
a
top-down
approach
to
examine
fringe
expansion
are
relatively
scarce.
This
study
first
applies
entropy
weight
method
analyze
spatial-temporal
evolution
trends
development,
identifying
areas
imbalanced
development
prominent
issues.
Secondly,
K-means
machine
learning
algorithm
nightlight
data
used
reconstruct
classify
regions,
comparative
analysis
conducted
with
administrative
divisions
further
identify
unreasonable
spatial
distribution
structure.
Finally,
POI
geographical
detector
micro-driving
forces
major
limiting
factors
solutions.
The
found
that
gap
between
rural
narrowing
during
process,
but
there
severe
differentiation
second
circle
Chengdu,
where
economic
accelerating
residents’
happiness
declining.
Moreover,
based
on
land-use
reveals
urban-rural
mainly
concentrated
Chengdu.
Micro-level
driving
factor
western
region
many
small
settlements,
dense
road
network
scattered
functional
areas.
eastern
inefficient
extensive
use
construction
land.
Additionally,
mismatch
student
status
household
registration
resulted
lagging
educational
resource
high
entry
barriers
have
hindered
progress
urbanization,
leading
low
per
capita
welfare
expenditure.
These
reasons
main
causing
decline
happiness,
this
impact
shows
significant
differences
at
different
temporal
scales.
Encouraging
innovation
research
or
education
can
serve
as
long-term
effective
force
promoting
sustainable
urbanization.
provides
valuable
insights
scientifically
process.
