Horticulturae,
Journal Year:
2024,
Volume and Issue:
10(12), P. 1308 - 1308
Published: Dec. 9, 2024
Agroforestry
is
being
promoted
as
a
feasible
land
use
management
to
improve
understory
economic
benefits.
However,
there
are
few
studies
on
species
selection
and
the
comprehensive
evaluation
of
soil
quality
change
in
rhizoma
bletillae
(Bletilla
striata)
agroforestry
systems.
The
index
(SQI)
minimum
dataset
(MDS)
methods
can
reflect
overall
condition
were
effective
tools
for
understanding
different
cultivation
In
this
study,
we
evaluated
four
models
(including
three
systems:
PeB,
moso
bamboo
(Phyllostachys
edulis)–rhizoma
bletillae;
PoB,
plane
trees
(Platanus
orientali)–rhizoma
CcB,
pecan
(Carya
cathayensis)–rhizoma
CK,
monoculture.
total
(TDS)
consisted
15
parameters
containing
physical,
chemical,
biological
characteristics.
results
showed
that
organic
carbon
(SOC),
nitrogen
(TN),
phosphorus
(TP)
finally
selected
established
MDS.
could
significantly
influence
quality.
Compared
with
SQI
CcB
increased
decreased
PeB
PoB.
Soil
water
content
(SWC),
nitrate
(NO3−-N),
dissolved
(DOC),
SOC,
TN,
TP
contents
higher
than
other
models.
Based
various
indicators
analysis,
was
best
improving
These
findings
based
MDS
be
used
an
indicator
systems
selection.
It
provides
theoretical
guidance
practice
bionic
sustainable
bletillae.
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2068 - 2068
Published: Dec. 2, 2024
Extensive
and
profound
landscape
alterations
significantly
contribute
to
ecological
vulnerability
in
environmentally
delicate
regions.
Existing
research
primarily
emphasizes
risks
caused
by
alterations,
while
overlooking
vulnerable
characteristics
of
functions;
particularly
lacking
are
studies
on
the
driving
mechanism
risk
through
reciprocal
relationship
between
pattern
function
risk.
Based
these
issues,
this
paper
constructed
a
index
(LPRI),
(LFRI),
(LERI)
counties
dry–hot
valley
Jinsha
River
southwest
China.
By
employing
coupling
degree
coordination
model,
we
analyzed
temporal
spatial
variations
interaction
two
types
risk,
thereby
revealing
mechanisms
The
results
indicated
that
average
LPRI
values
study
area
were
0.373,
0.327,
0.427,
respectively,
LFRI
0.451,
0.356,
0.442
2000,
2010,
2020,
respectively.
More
than
90%
exhibited
medium
risks.
proportion
regions
has
increased
from
25.58%
31.07%
2010
2020.
low
level
constraint
inhibition.
Extremely
evident
expansion
high
pattern–function
areas
increase
region
resulted
acceleration
regional
level.
Increasing
competition
market-driven
land-use
activities
regulations
government
rendered
diversification
sources
its
underlying
intricate.
This
serves
as
model
reference
for
assessing
theoretical
basis
sustainable
management
regulation
Yangtze
basin.
Open Geosciences,
Journal Year:
2023,
Volume and Issue:
15(1)
Published: Jan. 1, 2023
Abstract
This
research
investigates
the
dynamic
interplay
between
land
use
changes
and
landscape
ecological
risks
in
China’s
Jiangsu
Province,
specifically
focusing
on
Huai
River-Gaoyou
Lake
region.
Leveraging
multi-temporal
remote
sensing
data
from
2000
to
2020,
we
conducted
a
comprehensive
analysis
of
shifting
cover
patterns
their
implications.
Employing
geostatistical
techniques,
developed
risk
assessment
model
quantify
vulnerabilities.
Additionally,
resident
satisfaction
survey
aligned
with
“Production–Living–Ecological”
framework
gain
insights
into
societal
perceptions
dynamics.
Our
findings
reveal
significant
shifts
driven
by
urbanization,
industrialization,
agricultural
modernization.
While
farmland
areas
have
decreased,
water
bodies
artificial
surfaces
expanded,
reflecting
demands
economic
growth.
The
highlights
localized
vulnerabilities,
emphasizing
intricate
relationship
risks.
indicates
overall
contentment
various
aspects
use,
especially
terms
residential
comfort
transportation
convenience.
However,
concerns
underscore
need
for
balanced
approach
management
that
prioritizes
sustainability
alongside
development.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 30, 2024
Abstract
Abstract:
Ecosystem
service
value
(ESV)
is
crucial
for
understanding
regional
ecological
benefits
and
resources.
This
study,
based
on
data
from
the
Chinese
Academy
of
Sciences,
examines
land
use
changes
in
Xi'an
over
past
two
decades.
We
refined
ESV
coefficients
using
a
method
integrating
biomass
factor
Shaanxi
Province's
farmland
ecosystems.Our
findings
show
stable
proportions
cultivated
forest
2000
to
2020,
despite
an
increase
construction
decrease
areas.
Forest
unused
lands
remained
stable,
while
grassland
water
bodies
fluctuated.
related
increased
by
938.8
million
yuan
this
period,
with
high-value
areas
mainly
forested
regions
south
Qinling
Mountains
along
Weihe,
Bahe,
Chanhe
Rivers.
Low
zones
were
concentrated
urban
core.This
research
improves
methodologies
quantifying
ESV,
providing
support
resource
management,
conservation,
high-quality
development
China's
major
cities.
These
inform
policy-making
sustainable
growth.
Horticulturae,
Journal Year:
2024,
Volume and Issue:
10(12), P. 1308 - 1308
Published: Dec. 9, 2024
Agroforestry
is
being
promoted
as
a
feasible
land
use
management
to
improve
understory
economic
benefits.
However,
there
are
few
studies
on
species
selection
and
the
comprehensive
evaluation
of
soil
quality
change
in
rhizoma
bletillae
(Bletilla
striata)
agroforestry
systems.
The
index
(SQI)
minimum
dataset
(MDS)
methods
can
reflect
overall
condition
were
effective
tools
for
understanding
different
cultivation
In
this
study,
we
evaluated
four
models
(including
three
systems:
PeB,
moso
bamboo
(Phyllostachys
edulis)–rhizoma
bletillae;
PoB,
plane
trees
(Platanus
orientali)–rhizoma
CcB,
pecan
(Carya
cathayensis)–rhizoma
CK,
monoculture.
total
(TDS)
consisted
15
parameters
containing
physical,
chemical,
biological
characteristics.
results
showed
that
organic
carbon
(SOC),
nitrogen
(TN),
phosphorus
(TP)
finally
selected
established
MDS.
could
significantly
influence
quality.
Compared
with
SQI
CcB
increased
decreased
PeB
PoB.
Soil
water
content
(SWC),
nitrate
(NO3−-N),
dissolved
(DOC),
SOC,
TN,
TP
contents
higher
than
other
models.
Based
various
indicators
analysis,
was
best
improving
These
findings
based
MDS
be
used
an
indicator
systems
selection.
It
provides
theoretical
guidance
practice
bionic
sustainable
bletillae.
