Ecological Chemistry and Engineering S,
Journal Year:
2023,
Volume and Issue:
30(2), P. 167 - 173
Published: June 1, 2023
Abstract
Dynamic
features
from
remote
sensing
photos
may
be
successfully
extracted
using
deep
learning
and
symmetric
network
structure,
which
can
then
used
to
direct
them
carry
out
accurate
classification.
The
DBN
model
more
effectively
extract
since
it
uses
unsupervised
learning.
It
reduced
the
many
Restricted
Boltmann
Machines
(RBM)
training
problem.
In
this
paper,
a
soil
rocky
desertification
(RD)
assessment
based
on
belief
(DBN)
is
created
in
light
of
complicated
influencing
aspects
Karst
RD
risk
encompassing
several
geographical
elements.
builds
upon
conventional
RBM
framework
incorporates
influence
layer
related
elements
as
an
auxiliary
requirement
for
retrieving
Geographic
Information
System
(GIS)
score
data.
Then,
order
forecast
level
desertification,
learns
experimental
results
show
that
proposed
paper
has
better
prediction
performance
faster
convergence
speed,
its
classification
different
degrees
are
consistent
with
actual
results.
Land Degradation and Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 21, 2024
ABSTRACT
Understanding
the
issues
of
natural
capital,
group
consumption,
and
role
internal
external
factors
in
discussions
on
sustainability
ecosystem
services
(ES)
can
help
to
realize
sustainable
socio‐ecological
system
management.
However,
previous
studies
have
complemented
ecological
management
practices
from
a
holistic
or
ES
supply
perspective,
with
little
consideration
spatial
temporal
differences
supply–demand
mismatches
across
ecoregions.
On
basis
frameworks
quantification,
matching
analysis,
driver
identification,
strategy
development,
this
study
explores
demand
key
various
zones
South
China
Karst
(SCK)
employs
correlation
analyses
reveal
direction
degree
influence
drivers
mismatch
demand.
Furthermore,
valuable
strategies
are
provided.
The
results
showed
that,
general,
habitat
quality
(HQ)
carbon
sequestration
(CS)
decreased,
capacity
for
soil
conservation
(SC),
food
provision
(FP),
water
yield
(WY)
improved.
WY
whereas
all
other
increased
varying
degrees.
Except
SC
imbalance,
matched
well,
localized
areas
concentrated
around
city.
These
gradually
evolved
point
distribution
continuous
type
line
even
surface
2000
2020.
variability
was
evident
different
ecoregions,
were
inconsistent
their
ability
explain
mismatches,
especially
medium‐high
mountain
regions.
Additionally,
we
provide
planning
future
socioe‐cological
regional
studies.
Plants,
Journal Year:
2023,
Volume and Issue:
12(13), P. 2503 - 2503
Published: June 30, 2023
Ecological
stoichiometry
plays
important
roles
in
understanding
the
nutrient
constraints
on
tree
growth
and
development,
as
well
maintaining
ecosystem
services
forests,
yet
characteristics
of
carbon:nitrogen:phosphorous
(C:N:P)
forests
under
karst
environment
have
not
been
sufficiently
evaluated.
In
this
study,
concentration,
distribution,
stocks
Nitrogen
(N)
Phosphorous
(P),
ecological
were
studied
three
common
forest
types:
Masson
pine
natural
(MPNF),
plantation
(MPPF),
Slash
(SPPF)
a
region
southwestern
China.
Results
showed
that
N
concentrations
higher
overstory
than
understory
litter
forests.
However,
P
concentration
was
relatively
low
component
forested
ecosystems.
Meanwhile,
SPPF
stem
litter,
while
these
contents
MPPF
MPNP
understory.
The
ranged
from
5.7-6.2
t
ha-1,
0.5-0.6
ha-1
examined
C:N:P
types
similar
(46-49:2:1),
steady
soil
(250-320:13-16:1)
leaf
(100-200:14-20:1).
Soil
status
primary
limiting
factor
affecting
(N:P
ratio
>
16),
both
conditions
main
restrictive
factors
=
15)
study
area.
Our
provides
scientific
references
useful
datasets
for
sustainable
management
ecosystems
regions.
Land,
Journal Year:
2023,
Volume and Issue:
12(10), P. 1906 - 1906
Published: Oct. 10, 2023
Southwest
China
(SWC)
holds
the
distinction
of
being
world’s
largest
rock
desertification
area.
Nevertheless,
impacts
climate
change
and
ecological
restoration
projects
on
carbon
sinks
in
karst
area
have
not
been
systematically
evaluated.
In
this
study,
we
calculated
by
utilizing
Carnegie–Ames–Stanford
Approach
(CASA)
model,
actual
measurements,
including
net
primary
productivity
(NPP)
data
soil
respiration
(Rs,)
were
to
obtain
sink
data.
Our
findings
suggest
that
areas
are
displaying
increasing
trends
or
positive
reversals,
accounting
for
58.47%
area,
which
is
larger
than
overall
average
45.08%
China.
This
suggests
a
greater
sequestration
potential.
However,
approximately
10.42%
experience
negative
reversals.
The
regions
with
reversals
primarily
located
western
parts
Guizhou
Guangxi,
while
observed
eastern
Chongqing,
Guizhou.
Ecological
main
driving
factors
trends.
Increased
humidity
management
reasons
sinks.
warming
drought
shift
from
decreasing
east
Guangxi
study
highlight
significant
role
reexamine
impact
sequestration.
PeerJ,
Journal Year:
2024,
Volume and Issue:
12, P. e18724 - e18724
Published: Dec. 23, 2024
In
this
study,
experiments
were
conducted
on
soil
samples
collected
from
depths
of
0–15
cm,
15–30
and
30–50
cm
at
the
National
Long-term
Scientific
Research
Base
for
Comprehensive
Management
Rocky
Desertification
in
Wuling
Mountains.
The
aim
was
to
determine
physicochemical
indexes
explore
nature
spatial
heterogeneity
planted
mixed
forests
within
rocky
desertification
area
Mountain.
Various
analytical
methods
employed,
including
descriptive
statistical
analysis,
correlation
analysis
variance,
principal
component
interpolation
kriging
interpolation,
fit
optimal
model
semi-variance
function
properties
analyze
model’s
parameters.
results
indicated
that
physical
chemical
varied
with
depth
generally
correlated.
relationship
between
organic
matter
total
nitrogen
content
closest.
Additionally,
there
a
certain
degree
soils
different
vertical
profile,
layer
B
(15–30
cm)
C
(30–50
>
A
(0–15
cm).
weighting
coefficients
components
matter,
nitrogen,
phosphorus,
potassium,
pH,
porosity,
capillary
porosity
are
key
factors
karst
areas.
variability
ranged
21.91
87.59
m,
abutment
ratio
(Co/Co+C)
these
12.99%
89.53%.
Using
ArcGIS,
distribution
pattern
mapped,
revealing
indicators
distributed
heterogeneous
patches
various
sizes
shapes.
Therefore,
significantly
influences
properties.
Land,
Journal Year:
2023,
Volume and Issue:
12(2), P. 290 - 290
Published: Jan. 19, 2023
The
process
of
eliminating
absolute
poverty
is
inevitable
for
China’s
social
and
economic
transformation.
However,
there
are
currently
few
studies
on
the
relationship
between
land
use
transformation
(LUT)
rural
income
under
different
stages
governance.
This
study,
therefore,
uses
spatial
autocorrelation
analysis
a
multiscale
geographic
weighted
regression
(MGWR)
model
to
explore
mechanisms
LUT
its
spatiotemporal
heterogeneity
in
Yunnan
Province
during
comprehensive
alleviation
(CPA)
period
targeted
(TPA)
at
county
scale.
results
demonstrate
that:
(1)
numbers
both
low-income
high-income
counties
continued
decrease,
while
number
middle-high-income
increased,
demonstrated
positive
correlation.
(2)
Most
variables
dominant
recessive
increased
CPA
decreased
TPA
period.
As
morphology,
ecological
function
first
then
increased.
(3)
driving
force
morphology
strong
sustained,
gradually
enhanced.
vital
consolidating
eradication
bridging
revitalization.
They
may
also
provide
useful
references
sustainable
effective
other
developing
countries.
Ecological Chemistry and Engineering S,
Journal Year:
2023,
Volume and Issue:
30(2), P. 167 - 173
Published: June 1, 2023
Abstract
Dynamic
features
from
remote
sensing
photos
may
be
successfully
extracted
using
deep
learning
and
symmetric
network
structure,
which
can
then
used
to
direct
them
carry
out
accurate
classification.
The
DBN
model
more
effectively
extract
since
it
uses
unsupervised
learning.
It
reduced
the
many
Restricted
Boltmann
Machines
(RBM)
training
problem.
In
this
paper,
a
soil
rocky
desertification
(RD)
assessment
based
on
belief
(DBN)
is
created
in
light
of
complicated
influencing
aspects
Karst
RD
risk
encompassing
several
geographical
elements.
builds
upon
conventional
RBM
framework
incorporates
influence
layer
related
elements
as
an
auxiliary
requirement
for
retrieving
Geographic
Information
System
(GIS)
score
data.
Then,
order
forecast
level
desertification,
learns
experimental
results
show
that
proposed
paper
has
better
prediction
performance
faster
convergence
speed,
its
classification
different
degrees
are
consistent
with
actual
results.
