Geomatics Natural Hazards and Risk,
Год журнала:
2024,
Номер
16(1)
Опубликована: Дек. 27, 2024
The
Yellow
River
Source
Area
(YRSA)
is
ecologically
fragile,
economically
weak,
geographically
vast
and
sparsely
populated,
faces
challenges
to
its
development.
Existing
studies
on
the
YRSA
often
neglect
interactions
between
ecological
socio-economic
factors,
which
a
hot
issue
in
sustainable
development
research.
In
this
article,
hierarchical
analysis
method
(AHP),
CRITIC
weighting
method,
state-function-structure
model
(SFS),
coupled
coordination
degree
(CCDM),
spatio-temporal
weighted
regression
(GTWR)
are
used
assess
coupling
of
ecology
economy
analyze
influencing
factors.
results
show
that
dominated
by
grassland
ecosystem
vulnerability
has
been
improved
certain
extent.
northeastern
region
higher
than
southwestern
terms
economic
level,
corresponds
results.
Hot
spots
clustered
north,
cold
spread
from
southeast
west.
two
main
factors
affecting
(EV)
comprehensive
level
(ECL)
population
density
elevation.
This
study
complements
existing
knowledge
ecological,
human-land
systems
at
global
regional
scale.
It
provides
important
insights
data
support
policy
formulation
implementation
while
contributing
improvements.
Land,
Год журнала:
2024,
Номер
13(9), С. 1518 - 1518
Опубликована: Сен. 19, 2024
Land-use
and
land-cover
changes
(LUCCs)
significantly
impact
carbon
sequestration
by
modifying
the
structure
function
of
terrestrial
ecosystems.
This
study
utilized
GIS
remote
sensing
techniques
to
forecast
future
LUCC
patterns
their
influence
on
regional
budgets,
which
is
essential
for
sustainable
development.
We
devised
a
coupled
system
dynamics
(SD)
model
integrated
with
patch-generating
land-use
simulation
(PLUS)
simulate
LUCCs
under
diverse
scenarios
using
multisource
environmental
data.
Additionally,
InVEST
was
employed
quantify
storage
in
By
establishing
three
scenarios—ecological
priority
(EP),
highly
urbanized
(HU),
coordinated
development
(CD)—this
study’s
aim
predict
distribution
Tuojiang
River
Basin
(TRB),
China,
up
2035.
The
results
showed
that
(1)
from
2000
2020,
significant
occurred
TRB,
primarily
involving
conversion
cultivated
land
into
construction
areas
forestland;
(2)
had
substantial
EP
scenario
demonstrating
highest
2035
due
extensive
forest
expansion,
while
HU
indicated
decline
associated
rapid
urbanization;
(3)
mountainous
regions
dominated
forestland,
consistently
exhibited
higher
storage,
whereas
Chengdu
Plain
region
upper
basin
displayed
lowest.
In
conclusion,
we
recommend
prioritizing
CD
strategies
balance
economic
growth
ecological
protection
simultaneously
enhancing
storage.
Our
findings
offer
valuable
insights
shape
policies
Basin,
underscoring
adaptability
approach
wide
range
geographic
scales
contexts.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 4, 2024
Abstract
This
paper
focuses
on
the
social
effect
assessment
of
ecological
governance
Poyang
Lake
wetland
in
Jiangxi
Province.
By
distributing
and
collecting
1,098
valid
questionnaires
to
surrounding
residents,
this
deeply
explores
feedback
residents’
satisfaction
recognition
effectiveness
measures.
Through
comprehensive
use
regression
analysis
descriptive
statistical
methods,
discusses
impact
management
measures
life
quality,
environmental
protection
awareness
community
well-being.
The
study
found
that
project
was
widely
praised,
overall
residents
as
high
87.5%,
reflecting
a
significant
effect.
Further
revealed
affected
by
multiple
factors,
including
age,
education,
quality
improvement
quality.
Residents’
cognition
function
is
multi-dimensional
profound,
but
they
still
need
strengthen
popular
science
education
deep-level
functions
such
species
protection.
Based
research
conclusion,
three
policy
suggestions
are
proposed:
first,
government
should
enhance
public
protection;
second,
pay
attention
win-win
ecology
people's
livelihood,
promote
harmonious
coexistence
development;
third,
improve
relevant
infrastructure,
facilities,
scientific
monitoring
legal
construction,
lay
solid
foundation
for
sustainable
utilization
resources.