Exploring an assessment framework for the supply–demand balance of carbon sequestration services under land use change: Towards carbon strategy
Ecological Indicators,
Год журнала:
2024,
Номер
165, С. 112211 - 112211
Опубликована: Июнь 12, 2024
Язык: Английский
Comparing the process of converting land use purposes between socio-economic regions in Vietnam from 2007 to 2020
Environmental & Socio-economic Studies,
Год журнала:
2024,
Номер
12(3), С. 51 - 62
Опубликована: Сен. 1, 2024
Abstract
Reporting
land
use
changes
over
time
is
important
for
evaluating
resource
management.
This
study
applied
GIS
technology
to
determine
fluctuations
the
entire
mainland
territory
in
Vietnam.
In
particular,
research
focused
on
two
main
issues:
(1)
spatial
of
some
groups
Vietnam,
and(2)
rate
change
socio-economic
regions
periods
2007–2016
and
2016–2020.
Research
results
showed
that
Forests
group
a
growth
14%
took
place
all
regions,
except
with
little
this
group:
Red
River
Delta
(RRD)
Mekong
(MRD).
Meanwhile,
crops
decreased
by
16%
from
2007–2020
appeared
heavily
Northern
Midlands
Mountains
(NMR),
North
Central
Coast
(NCR),
Highlands
region
(CHR).
Urban
increased
3%
during
2007–2020.
The
speed
conversion
also
different
between
economic
inthe
periods.
recent
period
witnessed
higher
compared
2007–2016.
NMR
was
largest
both
stages.
Язык: Английский
Impact of Land Use/Cover Change on Soil Erosion and Future Simulations in Hainan Island, China
Water,
Год журнала:
2024,
Номер
16(18), С. 2654 - 2654
Опубликована: Сен. 18, 2024
Soil
erosion
(SE)
is
a
critical
threat
to
the
sustainable
development
of
ecosystem
stability,
agricultural
productivity,
and
human
society
in
context
global
environmental
climate
change.
Particularly
tropical
island
regions,
due
expansion
activities
land
use/cover
changes
(LUCCs),
risk
SE
has
been
exacerbated.
Combining
RUSLE
with
machine
learning
methods,
spatial
patterns,
their
driving
forces
mechanisms
how
LUCCs
affect
SE,
were
illustrated.
Additionally,
potential
impacts
future
on
simulated
by
using
PLUS
model.
The
main
results
are
as
follows:
(1)
Due
LUCCs,
average
soil
modulus
(SEM)
decreased
significantly
from
108.09
t/(km2·a)
2000
106.75
2020,
reduction
1.34
t/(km2·a),
mainly
transformation
cropland
forest
urban
land.
(2)
dominant
factor
affecting
pattern
LS
(with
relative
contributions
43.9%
45.17%),
followed
(LUC)
(the
contribution
28.46%
34.89%)
respectively.
(3)
Three
kinds
scenarios
simulation
indicate
that
SEM
will
decrease
2.40
under
natural
scenario
1.86
ecological
protection
2060.
However,
scenario,
there
slight
increase
SEM,
an
0.08
t/(km2·a).
Sloping
control
remains
primary
issue
for
Hainan
Island
future.
Язык: Английский
Coupling the Rulse and Plus Models to Assess Past and Future Soil Erosion in Hainan Island, China
Опубликована: Янв. 1, 2024
Язык: Английский
Coupling the Rulse and Plus Models to Assess Past and Future Soil Erosion in Hainan Island, China
Опубликована: Янв. 1, 2024
Язык: Английский
Exploring the Impact of Climate Variables and Scenario Simulation on Ecosystem Service Value Profits and Losses in China
Land,
Год журнала:
2024,
Номер
13(11), С. 1924 - 1924
Опубликована: Ноя. 15, 2024
Ecosystem
restoration
can
yield
multiple
benefits,
and
the
quantitative
accounting
of
ecosystem
service
value
(ESV)
profits
losses
is
significant
importance
to
economic
benefits
restoration.
This
study
reveals
dynamic
impacts
climate
change
on
ESVs
by
analyzing
effects
variables
ESV
across
different
periods
scenarios.
The
research
findings
are
as
follows:
(1)
From
1990
2020,
extending
simulated
projections
for
2030,
China’s
exhibits
a
high
distribution
pattern
in
southern
regions.
In
under
natural
development
scenario
(NDS),
southwestern
region
shows
coexistence
low
ESVs.
Under
ecological
protection
(EPS),
increases,
whereas
urban
(UDS),
southwest
decreases.
(2)
both
NDS
UDS,
trends
continue
from
2010
2020.
EPS,
there
increase
region.
largest
contributors
loss
conversion
grassland
unused
land
forest
farmland.
most
spatial
differences
losses,
with
an
northeastern
contrast,
other
regions
show
no
losses.
(3)
2000,
Bio13
(the
precipitation
wettest
month)
Bio12
(annual
precipitation)
had
positive
impact
indicating
that
increased
promotes
functioning
indicates
fluctuations
temperature
factors
influencing
ESV.
Due
change,
patterns
swings
now
key
determinants
changes.
By
carefully
studying
their
driving
factors,
this
serve
scientific
basis
management
strategies.
Язык: Английский
Does Green Finance Enhance the Ecological Value Level of Cultivated Land? Evidence from Mainland China
Agriculture,
Год журнала:
2024,
Номер
14(12), С. 2310 - 2310
Опубликована: Дек. 17, 2024
The
ecological
value
of
cultivated
land
contributes
to
a
harmonious
agricultural
environment.
Green
finance
support
is
essential
promoting
the
land.
Nevertheless,
research
specifically
centered
on
as
primary
focus
remains
limited
in
exploring
relationship
between
and
green
finance,
ignoring
fact
that
can
bolster
functions
drive
sustainable
practices.
To
address
this
gap,
an
objective
indicator
level
was
introduced,
its
variations
at
both
provincial
national
levels
from
2003
2022
were
investigated.
Results
indicate
increased
over
time,
with
higher
values
clustering
spatially
southern
regions.
Subsequently,
specific
spatial
correlations
revealed
using
Durbin
model.
results
show
enhanced
level,
lag
term
being
particularly
pronounced.
These
evident
eastern
regions
but
insignificant
western
Furthermore,
detailed
range
indirect
spillover
effects
estimated,
demonstrating
other
provinces
positive
when
geographic
distance
them
close.
In
summary,
these
conclusions
offer
practical
recommendations
for
eco-friendly
management
land,
including
strategies
vertical
collaboration
central
local
administrations
horizontal
adaptation
by
governments
east,
central,
west
based
conditions.
Язык: Английский