Land,
Год журнала:
2024,
Номер
13(11), С. 1747 - 1747
Опубликована: Окт. 24, 2024
This
study
introduces
a
novel
spatially
explicit
modeling
framework
developed
to
quantify
the
secondary
environmental
benefits
of
groundwater
protection
strategies
in
karst
landscapes,
with
specific
application
Hranice
Abyss
region.
The
model
employs
multi-criteria
decision
analysis,
integrated
hydrological
and
high-resolution
random
forest-based
prediction
algorithm,
downscale
land
surface
temperature
(LST)
order
obtain
1
×
m
spatial
results.
primary
contribution
this
research
lies
its
capacity
assess
not
only
core
objectives
but
also
wider
impacts,
including
enhanced
stormwater
retention
mitigation
increases.
Key
predictors
include
use
cover
data,
is
adaptable
across
diverse
landscape
types.
In
case
area,
water
demonstrated
an
increase
up
30%,
average
rise
precipitation
18.2
mm
per
microbasin.
However,
reductions
were
more
modest,
maximum
decrease
7.3%,
corresponding
drop
1.5
°C.
further
identified
pronounced
seasonal
land-use-specific
variations
temperature,
particularly
on
agricultural
land,
where
fluctuations
reached
2.6
°C
between
pre-
post-harvest
periods.
findings
offer
critical
insights
into
how
targeted
land-use
interventions
can
safeguard
resources
enhance
resilience
climate
change.
As
such,
approach
provides
essential
tool
for
advancement
sustainable
resource
management
climate-adaptive
planning.
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 4, 2025
ABSTRACT
Carbon
stock
is
a
key
element
of
land‐based
ecosystems
and
serves
as
one
the
indicators
for
assessing
SDG
15.3,
which
undergoes
direct
or
indirect
effects
due
to
changes
in
land
use.
Utilizing
central
Yunnan
urban
agglomeration
(CYUA)
study
region,
we
constructed
Markov‐Multi‐Objective‐patch‐generating
use
simulation
(Markov‐MOP‐PLUS)
coupled
model
across
four
distinct
scenarios:
sustainable
development
scenario
(SDS),
economic
(EDS),
ecological
protection
(EPS),
natural
(NDS)
year
2030.
The
Integrated
Valuation
Ecosystem
Services
Trade‐offs
(InVEST)
was
employed
carbon
spatially
identifying
comparatively
analyzing
over
time
different
areas
reserves
region
between
2000
We
used
optimal
parameter
geographic
detector
(OPGD)
exploring
driving
factors
spatial
differentiation
stocks
quantitatively
15.3.
revealed
that
according
scenarios
modeled,
region's
future
expected
show
expanded
watershed
construction
zones.
Water
most
rapidly
EPS,
with
NDS
SDS
behind;
highest
growth
rate
built‐up
EDS,
followed
by
NDS.
estimated
2030,
under
scenarios,
are
ranked
follows:
EPS
(2.581
×
10
9
tons)
>
(2.571
(2.570
EDS
(2.567
tons),
suggesting
measures
can
promote
recovery
regional
ecosystems'
stocks.
spatiotemporal
variation
influenced
multiple
factors,
slope
being
dominant
factor
region.
Furthermore,
interactions
among
these
not
independent
their
impact
on
15.3.1
indices
2030
all
decreasing
trend,
although
situation
degradation
has
improved,
none
have
met
15.3
target.
This
research
offers
valuable
guidance
policymakers
working
targets
planning.
Land,
Год журнала:
2025,
Номер
14(4), С. 787 - 787
Опубликована: Апрель 6, 2025
Global
challenges
such
as
climate
change,
ecological
imbalance,
and
resource
scarcity
are
closely
related
with
land-use
change.
Arid
land,
which
is
41%
of
the
global
land
area,
has
fragile
ecology
limited
water
resources.
To
ensure
food
security,
resilience,
sustainable
use
resources,
there
a
need
for
multi-scenario
analysis
change
in
arid
regions.
carry
this
out,
multiple
spatial
techniques
indicators
were
used
to
analyze
typical
inland
river
basin
Northwest
China—the
Tailan
River
Basin
(TRB).
Then,
PLUS
model
was
analyze,
certain
time
period
(1980–2060),
same
basin.
The
scenarios
included
Natural
Increase
Scenario
(NIS),
Food
Security
(FSS),
Economic
Development
(EDS),
Water
Protection
(WPS),
Ecological
(EPS),
Balanced
Eco-economy
(BES).
results
show
that
1980–2020,
TRB
mainly
driven
by
changes
cultivated
grassland,
forest
built-up
land.
For
period,
substantial
increase
(865.56
km2)
significant
decrease
(197.44
grassland
(773.55
study
area.
There
notable
shift
1990–2010.
overall
accuracy
(OA)
more
than
90%,
Kappa
value
85%
Figure
Merit
(FOM)
0.18.
most
pronounced
expansion
area
2020–2060
FSS
(661.49
km2).
This
led
an
grain
production
agricultural
productivity
region.
under
EDS
(61.7
km2),
contributing
economic
development
population
growth.
While
conversion
into
other
forms
smallest
BES
(606.08
increased
55.82
km2.
presented
ideal
scenario
conservation
balance
development.
management
strategy
harmonized
across
humans
may
provide
policymakers
realistic
option
potential
offer
acceptable
policy
solution
use.
Frontiers in Sustainable Food Systems,
Год журнала:
2024,
Номер
8
Опубликована: Ноя. 19, 2024
Climate
change
is
a
major
challenge
impacting
food
security
globally.
Sub-Saharan
African
(SSA)
countries
including
Nigeria
has
experienced
the
negative
effect
of
climate
vagaries
most
especially
on
agricultural
production,
thus,
leading
to
insecurity.
However,
sustainable
land
management
(SLM)
practices
have
huge
potential
minimize
impacts
in
rapidly
changing
climate.
This
study
estimates
determinants
adoption
SLM
and
impact
household
among
smallholder
rice
farmers
Ogun
State,
Nigeria.
A
multistage
sampling
procedure
was
used
select
120
respondents.
Poisson
endogenous
treatment
(PET)
model
employed
analyse
level
area.
To
account
for
counterfactuals,
doubly-robust
augmented-probability-weighted
regression
adjustment
(APWRA)
also
used.
In
same
vein,
marginal
effects
(MTE)
approach
estimate
heterogeneity.
The
results
showed
that
socio-economic
factors
greatly
influenced
practices,
such
as
age
educational
farmers.
found
be
improved
when
they
package
consisting
variety
hence,
alleviate
insecurity
if
well
combined
large
extent.
concluded
knowledge
form
formal
education,
some
vocational
training,
trainings
access
weather
information
were
key
influencing
untreated
(ATU)
are
lower
than
ATE
ATT,
confirming
positive
selection
unobserved
gains.
particular,
ATU
show
an
average
non-adopting
household,
would
significantly
improve
dietary
diversity
by
about
27%.
Farm-level
policy
efforts
aims
equip
through
disseminating
step
towards
promotion
practice
which
eventually
leads
increased
security.
recommended
continuous
extensive
use
can
fostered
encouraging
join
social
organisation
where
related
relevant
shared
trained
extension
officers.
Forests,
Год журнала:
2024,
Номер
15(3), С. 559 - 559
Опубликована: Март 19, 2024
The
biodiversity–ecosystem
function
(BEF)
relationship
is
the
basis
for
studying
restoration
of
degraded
ecosystems,
and
simultaneous
assessment
multi-trophic-level
biodiversity
ecosystem
multifunctionality
more
conducive
to
unravelling
mechanism
especially
forest
ecosystems
with
harsh
habitats
infertile
soils
such
as
karst.
In
this
study,
we
evaluated
soil
(SMF)
karst
forests
(scrub,
SB;
secondary
growth
forests,
SG;
old-growth
OG)
in
Maolan
National
Nature
Reserve,
China,
using
30
sample
plots.
Biodiversity
at
three
trophic
levels
(plant–soil
fauna–soil
microorganisms),
were
assessed
through
vegetation
surveys
sampling.
One-way
ANOVA
showed
that
SMF
increased
natural
restoration,
but
multi-trophic
level
different
trends.
Pearson’s
correlation
analysis
a
positive
between
plant
species
diversity
(p
<
0.001),
whereas
fauna
microorganisms
negatively
correlated
SMF.
Structural
equation
modeling
revealed
cascading
effect
on
stimulation
during
restoration.
Only
exhibited
direct
driving
plants
indirectly
influenced
fauna,
which
subsequently
affected
Although
observed
negative
effects
microbial
terms
quantitative
relationships,
increase
evenness
still
contributed
This
study
promoting
emphasized
microbes
are
key
unraveling
mechanisms
processes,
an
important
intermediate
link.
Land,
Год журнала:
2024,
Номер
13(3), С. 346 - 346
Опубликована: Март 8, 2024
Mapping
cultural
ecosystem
services
(CES)
in
river
basins
is
crucial
for
spatially
identifying
areas
that
merit
conservation
due
to
their
significant
CES
contributions.
However,
precise
quantification
of
the
appropriate
area
mapping
units,
which
basis
assessment,
rare
existing
studies.
In
this
study,
optimal
threshold
units
(OATMU)
identification,
consisting
a
multi-dimensional
indicator
framework
and
methodology
validation,
was
established
clarify
boundary
CES.
The
included
geo-hydrological
(GI),
economic
(EI)
social
management
(SMI).
OATMU
each
determined
by
seeking
inflection
point
second-order
derivative
power
function.
minimum
value
obtained
as
Finally,
validated
comparing
it
with
administrative
villages
basin.
results
showed
3.60
km2.
This
study
adopted
easy
access
basic
data
simplified
calculation
methods,
provide
clear
generic
technical
support
optimizing
mapping.