Frontiers in Environmental Science,
Journal Year:
2022,
Volume and Issue:
10
Published: May 10, 2022
Trade-offs
between
eco-environment
protection
and
socioeconomic
development
hinder
the
success
of
sustainable
goals
(SDGs).
Solutions
based
on
ecosystem
services
(ESs)
provide
co-benefits
pathways
for
fulfilling
SDGs.
However,
assessing
progress
towards
SDGs
contribution
ESs
to
is
lacking.
Here
we
assessed
s
patial-temporal
changes
service
values
(ESV)
SDG
scores
in
Beijing-Tianjin-Hebei
region
(BTH)
over
past
20
years
using
“ES-SDG
linkages.”
The
total
ESV
ES-SDG
Index
score
BTH
showed
a
spatial
pattern
high
northern
plateau
low
southern
plain.
increased
from
25,335
yuan
ha
−1
2000
27,344
2020,
mainly
attributed
water
provision
regulation.
decrease
cropland,
grassland,
wetland
2010
caused
value
nine
ESs,
whereas
increase
forestland,
waterbodies
2020
contributed
an
seven
ESs.
decreased
slightly
36.8
35.5
2010,
then
36.0
due
control
rapid
urbanization
strengthen
ecological
restoration.
Our
study
indicates
that
depended
food
provision,
climate
regulation,
nutrient
cycling,
habitat
&
biodiversity,
cultural
services.
assessment
suggests
SDG6,
SDG11,
SDG12
should
be
prioritized
advance
synergistic
BTH,
which
will
also
enhance
understanding
stakeholders
about
achieving
International Soil and Water Conservation Research,
Journal Year:
2023,
Volume and Issue:
12(1), P. 1 - 12
Published: April 4, 2023
Assessing
spatiotemporal
variation
in
global
soil
erosion
is
essential
for
identifying
areas
that
require
greater
attention
and
management
under
the
effects
of
anthropogenic
activities
climate
change.
Soil
can
be
modelled
using
universal
loss
equation
(USLE),
which
includes
rainfall
erosivity
(R-factor),
vegetation
cover
(C-factor),
topography
(LS-factor),
erodibility
(K-factor),
practices
(P-factor).
However,
modeling
faces
numerous
challenges,
including
data
acquisition,
calculation
processes,
parameter
calibration
different
climatic
topographic
backgrounds.
Thus,
we
presented
an
improved
USLE-based
model
highly
distributed
parameters.
The
R-,
C-,
P-factors
were
modified
by
zone,
country,
topography.
This
was
applied
to
estimate
intensity
variations
from
1992
2015.
We
validated
accuracy
this
comparing
simulations
with
measurements
11,439
plot
years
data.
results
showed
i)
average
rate
5.78
t
ha−1
year−1,
increase
4.26
×
10−3
year−1;
ii)
significantly
increasing
accounted
16%
land
water
erosion,
whereas
those
decreasing
7%;
iii)
severe
included
western
Ghats,
Abyssinian
Plateau,
Brazilian
south
east
Himalayas,
coast
South
America.
Intensified
occurred
mainly
on
Amazon
Plain
northern
Mediterranean.
study
provides
prediction
accurate
information
researchers
policymakers
identify
drivers
underlying
changes
regions.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110683 - 110683
Published: July 22, 2023
The
problem
of
soil
and
water
loss
in
the
Yellow
River
Basin
has
been
impacting
local
high-quality
development.
upgrading
industrial
structure
is
a
method
to
alleviate
issue
loss.
In
order
address
Basin,
this
study
investigates
internal
mechanisms
how
impacts
conservation,
promoting
coordinated
development
region.
This
research
utilizes
entropy
weight
method,
InVEST
model,
fixed
spatial
Durbin
model
explore
greening,
upgrading,
rationalization
industries
affect
average
conservation.
main
conclusions
are:
(1)
For
every
0.1
increase
greening
index,
it
effectively
increases
conservation
by
17.25
(t/hm2)
49.61
(t/hm2).
It
necessary
reduce
emission
pollutants
upstream
region
improve
conservation;
(2)
decrease
industry
will
lead
surrounding
areas
2.82
Only
continuously
increasing
financial
investment
downstream
can
be
increased.
(3)
An
midstream
regions
areas,
while
region,
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
141, P. 109072 - 109072
Published: June 18, 2022
The
research
results
based
on
ecosystem
service
evaluation
are
important
basis
for
ecological
decisions.
However,
the
spatial
flows
of
services
from
ecosystems
to
humans
caused
by
disconnections
between
provisioning
and
benefiting
areas,
have
received
less
attention.
Taking
sediment
reduction
soil
conservation
(SCS)
as
object,
in
this
study,
amount,
value,
paths
flow
were
quantified
mapped
using
WATEM/SEDEM
model
framework
through
a
case
study
Jinghe
River
Basin
(JRB),
China.
And
net
areas
determined
characterizing
actual
supply
beneficiaries
terms
flows.
presents
that
(SCF)
JRB
was
3.64
×
109
t,
which
generates
massive
benefits
(1.16
108
CNY).
Spatially,
SCF
shows
decay
pattern
upstream
downstream
basin,
except
north.
broken
landform
intermittently
hindered
transports.
Based
surplus,
grassland
identified
main
SCS
area
cultivated
land
regarded
major
area.
We
recommend
it
is
necessary
improve
vegetation
cover
basin
ensure
sustainable
avoidance
erosion
damages
beneficiaries.
This
towards
systematic
assessment
regulating
provides
references
measure
quantify
can
contribute
address
imprecision
compensation
object
subject.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(2), P. 1612 - 1612
Published: Jan. 13, 2023
The
Tingjiang
Watershed
is
a
typical
mountainous
area
with
red
soil
in
the
south
of
China.
Due
to
high
rainfall
intensity,
significant
cultivated
land
expansion,
and
accelerated
urbanization,
ecological
problems
such
as
erosion
are
prominent
study
area.
Based
on
use,
precipitation,
digital
elevation
model
(DEM),
normalized
difference
vegetation
Index
(NDVI),
types
2000,
2010,
2020,
landscape
pattern
conservation
were
assessed
at
sub-watershed
scale.
spatial
correlation
between
was
analyzed
using
GeoDA
software.
results
show
following:
(1)
From
2000
total
amount
decreased
by
4.15
×
108
t.
In
terms
analysis,
showed
an
upward
then
downward
trend
north
south,
most
obvious
southeast
northeast.
(2)
Fragmentation
overall
has
increased.
discrete
degree
homogeneity
patches
Changting
County,
while
heterogeneity
increased
Shanghang,
Liancheng,
Yongding
Counties.
(3)
Soil
significantly
correlated
indices
patch
density
(PD),
shape
index
(LSI),
mean
(AREA_MN),
cohesion
(COHESION),
splitting
(SPLIT),
Shannon
evenness
(SHEI).
Sub-watersheds
low
had
index,
dispersion,
type
richness,
boundary
complexity.
These
areas
mainly
distributed
southern
part
watershed.
higher
characterized
fragmentation
strong
connectivity
dominant
patches,
which
located
northern
(4)
error
(SEM)
fit
better
2020
compared
lag
(SLM)
ordinary
least
squares
regression
(OLS).
diagnostic
SEM
that
among
six
indices,
PD,
SHEI,
AREA_MN
main
influencing
factors
affecting
watershed
different
degrees.
purpose
this
investigate
response
state
capacity
patterns
evolve
Watershed,
goal
providing
reference
for
planning
management
well
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(8), P. e28951 - e28951
Published: April 1, 2024
The
hydrological
regimes
of
watersheds
might
be
drastically
altered
by
climate
change,
a
majority
Pakistan's
are
experiencing
problems
with
water
quality
and
quantity
as
result
precipitation
changes
temperature,
necessitating
evaluation
alterations
to
management
strategies.
In
this
study,
the
regional
security
in
northern
Pakistan
is
examined
about
anthropogenic
change
on
runoff
Kunhar
River
Basin
(KRB),
typical
river
using
Soil
Water
Assessment
tool
(SWAT)
flow
durarion
curve
(FDC).
Nine
general
circulation
models
(GCMs)
were
successfully
utilized
following
bias
correction
under
two
latest
IPCC
shared
socioeconomic
pathways
(SSPs)
emission
scenarios.
Correlation
coefficients
(R2),
Nash-Sutcliffe
efficiency
(NSE),
Percent
Bias
(PBIAS)
all
above
0.75.
conclusions
demonstrate
that
SWAT
model
precisely
simulates
process
KRB
monthly
daily
timescales.
For
scenarios
SSP2-4.5
SSP5-8.5,
mean
annual
predicted
rise
3.08
%
5.86
%,
respectively,
compared
1980–2015
baseline.
forecasted
high
temperatures
expected
range
from
2.08
°C
3.07
°C,
while
anticipated
increase
low
projected
fall
within
2.09
°C–3.39
spanning
years
2020–2099.
Under
SSPs
scenarios,
estimated
5.47
7.60
due
during
same
period.
Future
growth
will
supported
sufficient
supply
made
possible
runoff.
However,
because
there
greater
possibility
flooding
increases
both
rainfall
As
result,
flood
control
development
plans
for
must
consider
change's
effects.
There
chance
peak
move
backwards
relative
