International Journal of Agricultural and Environmental Information Systems,
Год журнала:
2025,
Номер
16(1), С. 1 - 19
Опубликована: Май 29, 2025
In
the
era
of
big
data,
rapid
development
information
technology
has
led
to
a
surge
in
amount
which
profoundly
affected
landscape
design
industry.
Traditional
planning
methods
rely
on
empirical
judgement,
making
it
difficult
meet
demand
for
high-quality
space
and
ecological
protection.
This
study
explores
innovative
application
data
complex
planning,
analysing
its
theoretical
basis
site
analysis,
functional
positioning,
optimisation
operation
management.
Taking
Chongqing
Garden
Expo
Park
as
an
example,
important
role
is
verified.
At
same
time,
new
strategies
are
proposed
address
challenges
collection,
quality
control
privacy
security,
help
digital
transformation
industry,
promote
scientific
sustainable
development,
lay
foundation
creating
high-quality,
intelligent
Ecological Indicators,
Год журнала:
2024,
Номер
162, С. 112051 - 112051
Опубликована: Апрель 23, 2024
Realizing
the
superior
stability
of
natural
resources
for
regional
economic
growth
depends
on
construction
Ecological
Security
Pattern
(ESP)1.
The
ESP
Hubei
Province
was
determined
based
supply
and
demand
ecosystem
services
(ESSD)2.
main
conclusions
are
as
follows:
(1)
overall
in
exceeds
demand,
imbalance
between
Wuhan,
Xiangyang
Jingzhou
is
most
serious.
(2)
largest
ecological
source
area
2000
90,506
km2,
followed
by
86,946
km2
2020.
(3)
11
long-term
obstacles
with
a
total
312.96
were
identified,
which
mainly
composed
large
areas
cultivated
land
water.
(5)
protection
restoration
pattern
"two
axes,
three
belts,
four
districts
five
cores
(two
secondary)"
has
been
constructed
Province.
results
this
study
provide
reference
management
response
to
problems
Ecological Informatics,
Год журнала:
2024,
Номер
82, С. 102673 - 102673
Опубликована: Июнь 9, 2024
Regional
ecological
security
pattern
(ESP)
can
provide
the
basis
for
regional
territorial
spatial
planning
and
urban
protection.
Taking
Wuhan
metropolitan
area
as
study
area,
a
binary
logistic
regression
model
was
used
to
quantify
evolutionary
driving
forces
transformation
risk
of
land.
An
identification
framework
source
based
on
"quality-risk-demand"
constructed
identify
by
calculating
land
comprehensive
value
from
three
aspects
quality,
degradation
risk,
human
demand.
The
resistance
surface
calculated
according
land-use
type
nighttime
light
data,
further
using
circuit
theory
range
its
key
areas
corridors,
specific
ESP
their
priority
area.
results
showed
sources
were
382.4
km2,
accounting
17.3%
corridors
in
terrestrial
ecosystem
(TEC)
14.38
with
an
average
width
77.8
m,
including
4.99
km2
pinch
points
3.71
barriers,
indicating
poor
actual
connectivity
TEC.
Ecological
aquatic
(AEC)
107.67
km
long,
57.86
14.24
substitutability
AEC.
Overall,
"three
horizontals,
verticals,
four
clusters"
identified,
where
sources,
barriers
protection
restoration
constructing
it.
Existing
spaces
within
range,
corridor
highly
consistent
situation,
verifying
significance
framework.
This
focuses
needs
residents,
combining
intrinsic
quality
extrinsic
risks
land,
proposes
integrated
identifying
identifies
theory,
attempts
quantitative
case
reference
construction
other
areas.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июнь 7, 2024
Abstract
The
present
study
employed
remote
sensing
images
of
the
Fen
River
Basin
from
2005,
2010,
2015,
and
2020
as
primary
data
source.
software
ENVI,
ArcGIS,
Fragstats
4.2
were
utilized
to
measure
landscape
pattern
index
Basin.
A
collinearity
test
was
conducted
remove
any
redundant
indices.
Based
on
selected
indices,
values
ascertained
follows.
Using
shifting
window
method,
obtained.
Second,
habitat
quality
in
assessed
using
InVEST
model,
spatial
autocorrelation
approach
confirm
that
spatially
autocorrelated.
Finally,
impacts
indices
examined
MGWR
model.
results
show
(1)
Basin's
overall
declined
between
2005
2020;
however,
deterioration
slowed
with
time
had
a
typical
"poor
middle
high
around
margins"
distribution.
low-value
area
continued
increase,
lower-value
decreased
annually,
middle-value
then
increased,
higher-quality
tended
decrease,
increase
again,
high-quality
annually.
(2)
fit
model
greater
than
those
OLS
traditional
GWR
models,
it
able
more
clearly
illustrate
various
roles
play
one
another.
(3)
Changes
patterns
major
impact
quality;
positively
impacted
by
PD
AI,
negatively
MESH,
positive
negative
bidirectional
effects
CONTAG
AI.
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 11, 2025
ABSTRACT
Central
Asian
countries
ranked
low
in
Sustainable
Development
Goal
(SDG)
scores
among
166
globally
2024,
facing
challenges
achieving
the
2030
Agenda.
Landscape
structures
(LSs)
are
considered
crucial
advancing
SDGs
by
supporting
provision
of
ecosystem
services
(ESs).
Although
previous
studies
have
primarily
first‐level
interactions
between
LSs
and
ESs,
as
well
ESs
SDGs,
uncertainty
remains
regarding
hierarchical
responses
LSs,
SDGs.
To
address
this
gap,
study
integrates
traditional
relationship
into
latest
SDG
classification
framework
(“essential
needs,”
“governance,”
“objectives”),
aiming
to
provide
a
new
theoretical
methodology
for
priority
actions
Asia.
This
uses
Dangala
Bukhara
regions
Asia
case
studies.
By
constructing
landscape
index
tools,
ES
assessment
models,
regression
analyses,
we
quantified
spatiotemporal
distribution
changes
on
basis
6
LS
indices,
5
3
categories
Using
factor
analysis
structural
equation
modeling,
revealed
differential
impact
pathways
Our
results
indicate
that
region,
which
is
dominated
grasslands,
should
prioritize
7,
SDG14,
SDG15,
whereas
desert
areas
focus
9,
12,
13.
Importantly,
highlight
potential
systematic
grassland
planning
management
maximize
sustainable
economic,
social,
environmental
development
arid
zones.
