Remote Sensing,
Год журнала:
2024,
Номер
16(18), С. 3427 - 3427
Опубликована: Сен. 15, 2024
Scientific
evaluation
of
cultivated
land
quality
(CLQ)
is
necessary
for
promoting
rational
utilization
and
achieving
one
the
Sustainable
Development
Goals
(SDGs):
Zero
Hunger.
However,
CLQ
system
proposed
in
previous
studies
was
diversified,
methods
were
inefficient.
In
this
study,
based
on
China’s
first
national
standard
“Cultivated
Land
Quality
Grade”
(GB/T
33469-2016),
we
constructed
a
unified
county-level
by
selecting
15
indicators
from
five
aspects—site
condition,
environmental
physicochemical
property,
nutrient
status
field
management—and
used
Delphi
method
to
calculate
membership
degree
indicators.
Taking
Jimo
district
Shandong
Province,
China,
as
case
compared
performance
three
machine
learning
models,
including
random
forest,
AdaBoost,
support
vector
regression,
evaluate
using
multi-temporal
remote
sensing
data.
The
comprehensive
index
reveal
spatial
distribution
CLQ.
results
showed
that
data
model
efficient
reliable,
had
significant
positive
correlation
with
crop
yield
(r
0.44,
p
<
0.001).
proportions
high-,
medium-
poor-quality
27.43%,
59.37%
13.20%,
respectively.
western
part
study
area
better,
while
it
worse
eastern
central
parts.
main
limiting
factors
include
irrigation
capacity
texture
configuration.
Accordingly,
series
targeted
measures
policies
suggested,
such
strengthening
construction
farmland
water
conservancy
facilities,
deep
tillage
soil
continuing
construct
well-facilitated
farmland.
This
fast
reliable
evaluating
CLQ,
are
helpful
promote
protection
ensure
food
security.
Water,
Год журнала:
2023,
Номер
15(20), С. 3542 - 3542
Опубликована: Окт. 11, 2023
In
regions
with
arid
and
semi-arid
climates,
water
consumption
for
agricultural
irrigation
is
much
higher
than
that
used
urban
industrial
purposes.
Intensive
plays
a
vital
role
in
influencing
the
interaction
between
groundwater
surface
water.
Understanding
impact
of
on
local
hydrological
cycle
great
significance
maintaining
regional
food
production
-security.
order
to
study
cycle,
present
employed
SWAT-MODFLOW
coupled
model
analyze
Weigan
River
Basin
from
2002
2016.
modeling
process,
detailed
management
measures
were
considered,
including
zoning
crop
types,
amount
different
crops,
methods,
sources
Before
coupling,
each
was
set,
calibrated,
validated
separately.
After
pumps
drainage
units
mapped
SWAT
automatic
subbasins.
Calibration
validation
studies
showed
could
simulate
river
flow
levels
well.
The
simulation
results
soil
included
(1147.5
mm)
(68.4
mm),
as
well
precipitation
snowmelt
recharge
(97.62
mm).
balance
influenced
by
leakage
(75.6
lateral
inflow
surrounding
areas
(3.6
unsaturated
zone
infiltration
(197.7
pumping
(1275
When
compared
scenario
without
irrigation,
runoff,
infiltration,
moisture
content,
evapotranspiration
increased
7.9%,
3.2%,
4.1%,
2.3%,
respectively.
Irrigation
activities
content
permeability,
resulting
more
evaporation,
runoff.
This
provides
guidance
evaluating
drought
systems
future
sustainable
resource
management.
Agronomy,
Год журнала:
2023,
Номер
13(3), С. 661 - 661
Опубликована: Фев. 24, 2023
In
order
to
increase
water
productivity
at
the
Collective
Irrigation
System
(CIS)
level
it
is
crucial
adapt
existing
irrigation
infrastructure,
enhancing
intake
source,
as
well
its
transport
and
delivery
efficiency.
Rehabilitation
may
involve
structural
changes
thus,
a
large
capital
investment.
This
investment
should
be
proportionate
in
climate
resilience
associated
different
rehabilitation
alternatives.
A
methodology
framework
was
developed
evaluate
CIS
change
considering
The
assessed
components
were:
(i)
crop
production
systems;
(ii)
on-farm
(iii)
project
alternatives
for
conveyance
distribution
of
from
source
farmer
fields.
applied
Maiorga
CIS,
central
Portugal,
test
performance
assessing
impacts
on
supply-demand
balance
proposed
their
resilience,
representative
concentration
pathways,
RCP4.5
RCP8.5,
two
time
periods,
2041–2070
2071–2100.
For
each
scenario,
period,
alternative,
requirements
(demand)
stream
flows
(supply)
were
computed
performed.
Projected
increases
demand
varied
between
5.5%
RCP4.5/2071–2100
35.7%
RCP8.5/2071–2100.
RCP4.5,
11%
(2050)
9%
(2080)
reductions
supply
projected,
while
RCP8.5
reduction
ranges
13%
30%
(2080).
determined
that
just
one
type
without
flow
regularization
with
open
channel
farmer’s
field,
have
proved
unviable
due
low
change.
Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Авг. 26, 2024
The
prevalence
of
drought
events
worldwide
emphasizes
the
importance
screening
and
cultivating
drought-adapted
crops.
In
this
study,
206
germplasm
resources
were
used
as
materials,
dry
weight
target
trait,
two
genotyping
methods
criteria
to
evaluate
adaptability
at
seedling
establishment
stage.
results
showed
a
significant
decrease
in
average
tested
(from
746.90
mg
285.40
mg)
rich
variation
responses
among
each
genotype
(CV=61.14%).
traditional
evaluation
method,
resistance
coefficient
(DC),
geometric
mean
productivity
index
(GMP),
(MP),
stress
susceptibility
(SSI),
tolerance
(STI),
(TOL)
also
exhibited
diversity
genotypes
(CV>30%).
However,
these
indices
varying
degrees
explanation
for
under
non-stress
environments
failed
differentiate
clearly.
new
four
developed
quantify
barley
production
stability
capacities.
Compared
indices,
(SI)
explained
more
comprehensively
conditions
(
R
2
=
0.98),
while
ideal
(II)
better
0.89).
Furthermore,
potential
(PI)
elasticity
(EI)
eliminated
disparities
clarified
contribution
capacity
stress.
Ultimately,
through
grading
cluster
analysis,
effectively
categorized,
11
identified
suitable
cultivation
arid
areas.
Overall,
comprehensive
method
based
on
newly
surpasses
crops
serves
vital
tool
identifying
high-stability
high-production
capacities
various
environments,
which
is
expected
provide
practical
guidance
planting
breeding
Remote Sensing,
Год журнала:
2024,
Номер
16(18), С. 3427 - 3427
Опубликована: Сен. 15, 2024
Scientific
evaluation
of
cultivated
land
quality
(CLQ)
is
necessary
for
promoting
rational
utilization
and
achieving
one
the
Sustainable
Development
Goals
(SDGs):
Zero
Hunger.
However,
CLQ
system
proposed
in
previous
studies
was
diversified,
methods
were
inefficient.
In
this
study,
based
on
China’s
first
national
standard
“Cultivated
Land
Quality
Grade”
(GB/T
33469-2016),
we
constructed
a
unified
county-level
by
selecting
15
indicators
from
five
aspects—site
condition,
environmental
physicochemical
property,
nutrient
status
field
management—and
used
Delphi
method
to
calculate
membership
degree
indicators.
Taking
Jimo
district
Shandong
Province,
China,
as
case
compared
performance
three
machine
learning
models,
including
random
forest,
AdaBoost,
support
vector
regression,
evaluate
using
multi-temporal
remote
sensing
data.
The
comprehensive
index
reveal
spatial
distribution
CLQ.
results
showed
that
data
model
efficient
reliable,
had
significant
positive
correlation
with
crop
yield
(r
0.44,
p
<
0.001).
proportions
high-,
medium-
poor-quality
27.43%,
59.37%
13.20%,
respectively.
western
part
study
area
better,
while
it
worse
eastern
central
parts.
main
limiting
factors
include
irrigation
capacity
texture
configuration.
Accordingly,
series
targeted
measures
policies
suggested,
such
strengthening
construction
farmland
water
conservancy
facilities,
deep
tillage
soil
continuing
construct
well-facilitated
farmland.
This
fast
reliable
evaluating
CLQ,
are
helpful
promote
protection
ensure
food
security.