There
are
severe
conflicts
between
agricultural
production
and
ecological
benefits,
how
to
explore
the
critical
configurations
of
landscapes
natural
habitats
clarify
sustainable
(safety)
scenarios
remains
unclear.
Thus,
this
study
explored
a
transferable
approach
generating
possibility
frontiers
trade-offs
benefits
(biodiversity,
carbon
sink,
water
consumption)
under
unconstrained,
constraint,
constraint
scenarios,
identified
threshold
safety
area
for
landscape
optimization
in
Beijing–Tianjin–Hebei
(BTH)
region
China.
When
reaching
Pareto
optimality
trade-off
frontiers,
grain
yield
biodiversity
increased
by
10%–17%,
sink
15%–48%,
consumption
improved
4%–25%.
The
thresholds
revealed
that
occupying
20%–40%
(with
40%–60%)
BTH
was
state,
would
become
unsustainable
below
range.
This
highlights
will
promote
multifunctionality
provides
quantitative
boundaries
improving
benefits.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Март 1, 2024
Abstract
The
Ebinur
Lake
Basin
is
an
ecologically
sensitive
area
in
arid
region.
Investigating
its
land
use
and
cover
(LULC)
change
assessing
predicting
ecosystem
service
value
(ESV)
are
of
great
importance
for
the
stability
basin's
socioeconomic
development
sustainable
ecological
environment.
Based
on
LULC
data
from
1990,
2000,
2010,
2020,
we
assessed
ESV
coupled
grey
multi-objective
optimization
model
with
patch
generation
simulation
to
predict
changes
2035
under
four
scenarios:
business-as-usual
(BAU)
development,
rapid
economic
(RED),
protection
(ELP),
ecological–economic
balance
(EEB).
results
show
that
1990
basin
was
dominated
by
grassland
(51.23%)
unused
(27.6%),
a
continuous
decrease
increase
cultivated
land.
In
thirty
years,
total
study
increased
18.62
billion
67.28
yuan,
regulation
support
services
being
dominant
functions.
By
2035,
while
decreased
all
scenarios
compared
2020.
BAU,
RED,
ELP,
EEB
68.83
billion,
64.47
67.99
66.79
respectively.
RED
scenarios,
2.81
0.49
BAU
scenario,
provisioning
6.05%
2.93%,
ELP
focusing
environmental
protection,
saw
services.
This
paper
can
assist
policymakers
optimizing
allocation
provide
scientific
formulation
strategies
inland
river
basins
regions.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 15, 2025
Abstract
Increasing
global
population
demands
higher
agricultural
yield
while
avoiding
the
use
of
harmful
products
in
agriculture.
The
beneficial
micro-organisms
is
an
Eco-friendly
approach
to
reduce
fertilizers
and
plant
growth
promoting
(PGP)
products.
This
study
focused
on
fungus
Pseudozyma
aphidis
(P.
aphidis)
,
a
yeast
like
dimorphic
plants
related
phytopathogenic
Ustilago
maydis
that
causes
corn
smut
disease.
Our
lab
isolated
unique
P.
strain
(PA12)
has
shown
significant
protection
activity.
We
extracted
screened
active
PGP
fraction
from
PA12,
calibrated
treatment
dosage
application
method.
Tomato,
melon
treated
with
PA12
extract
exhibited;
increased
germination,
shoot
length,
biomass
yield.
results
demonstrate
potential
as
eco-friendly
agent
can
contribute
reduction
usage.
Remote Sensing,
Год журнала:
2025,
Номер
17(2), С. 299 - 299
Опубликована: Янв. 16, 2025
Spatiotemporal
vegetation
changes
serve
as
a
key
indicator
of
regional
ecological
environmental
quality
and
provide
crucial
guidance
for
developing
strategies
protection
sustainable
development.
Currently,
change
studies
in
the
Yangtze
River
Basin
primarily
rely
on
Normalized
Difference
Vegetation
Index
(NDVI).
However,
NDVI
is
susceptible
to
atmospheric
soil
conditions
exhibits
saturation
phenomena
areas
with
high
coverage.
In
contrast,
kernel
(kNDVI)
demonstrates
significant
advantages
suppressing
background
noise
improving
thresholds
through
nonlinear
transformation,
thereby
enhancing
sensitivity
changes.
To
elucidate
spatiotemporal
characteristics
driving
mechanisms
Basin,
this
study
constructed
temporal
kNDVI
using
MOD09GA
data
from
2000
2022.
Considering
sectional
heterogeneity,
rather
than
analyzing
entire
region
whole
previous
studies,
research
examined
evolution
by
sections
four
statistical
metrics.
Subsequently,
Partial
Least
Squares
Path
Modeling
(PLSPM)
was
innovatively
introduced
quantitatively
analyze
influence
topographic,
climatic,
pedological,
socioeconomic
factors.
Compared
traditional
correlation
analysis
geographical
detector
method,
PLSPM,
theoretically
driven
can
simultaneously
process
path
relationships
among
multiple
latent
variables,
effectively
revealing
intensity
pathways
factors’
influences,
while
providing
more
credible
interpretable
explanations
variation
mechanisms.
Results
indicate
that
overall
exhibited
an
upward
trend,
midstream
demonstrating
most
improvement
minimal
interannual
fluctuations,
upstream
displaying
east-increasing
west-stable
spatial
pattern,
downstream
coexisting
degradation
characteristics,
these
trends
expected
persist.
Driving
mechanism
reveals
predominantly
influenced
climatic
factor,
dominated
terrain,
displayed
terrain–soil
coupling
effects.
Based
findings,
it
recommended
focus
adaptation
management
climate
change,
need
coordinate
relationship
between
topography
human
activities,
should
concentrate
controlling
negative
impacts
urban
expansion
vegetation.
