Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 14, 2023
Abstract
Although
the
cause-and-effect
relationship
between
accelerated
soil
erosion
and
human
activities
has
been
confirmed
by
geological
records,
magnitude
socio-economic
drivers
of
anthropogenic
contribution
remain
largely
unexplained
at
country
scale.
Here,
we
present
an
integrated
modelling
framework
that
uses
multi-source
high
spatial
resolution
datasets
to
assess
human-altered
(HASE)
water
its
drivers.
We
estimate
China’s
territorial
HASE
be
equal
1.35
billion
tonnes
yr
-1
(reference
year
2017).
This
is
result
2.74
triggered
land-use
change
denoted
as
luc
(~1.75
times
estimated
natural
erosion,
SE
nat
),
1.39
alleviated
conservation
measures.
Modelling
further
indicate
mitigation
due
terraces
may
have
largest
effect
on
(0.94
).
Concerning
activities,
such
consumption
behaviours,
observe
they
can
indirectly
perturb
earth
surface
processes
a
relatively
large
footprint.
Household
consumption,
especially
final
demand
from
Northeast
China
associated
industrial
along
entire
supply
chain
could
major
underlying
factors
driving
HASE.
Our
findings
highlight
intervention
humans
call
for
comprehensive
control
measures
social-ecological
coupled
perspective.
Land Degradation and Development,
Journal Year:
2023,
Volume and Issue:
35(1), P. 62 - 75
Published: Sept. 21, 2023
Abstract
Northeast
China
is
experiencing
severe
soil
erosion,
resulting
in
land
degradation
and
nutrient
loss.
Among
them,
water
erosion
poses
the
greatest
threat
to
food
security.
Combining
various
multi‐source
data,
we
applied
modified
equation
(RUSLE)
evaluate
modulus
(1985–2021).
We
used
threshold
segmentation
residual
analysis
method
quantify
relative
roles
of
climate
change
human
activities
on
erosion.
The
outcomes
were
as
follows:
(1)
In
recent
decades,
average
annual
northeastern
was
804.78
t·km
−2
·a
−1
,
decreasing
with
a
slope
−11.114
.
24%
study
area,
increased
significantly,
mainly
grassland
farmland,
due
expansion
sloping
cropland.
20%
decreased
spread
forests,
which
attributed
implementation
important
ecological
restoration
projects
by
Chinese
government,
such
afforestation
programs
returning
farmland
forest.
(2)
During
research
process,
there
spatial
variations
drivers
China.
For
areas
significant
increases
total
area
caused
anthropogenic
factors,
3%
natural
factors.
where
had
significantly
improved,
18%
restoration,
2%
(3)
Based
results
study,
forests
grasses,
management
cropland,
conservation
tillage
recommended
reduce
Forests,
Journal Year:
2024,
Volume and Issue:
15(6), P. 1039 - 1039
Published: June 16, 2024
Revealing
the
relationship
between
land
use
changes
and
soil
erosion
provides
a
reference
for
formulating
future
strategies.
This
study
simulated
historical
based
on
RULSE
GeoSOS-FLUS
models
used
random
forest
model
to
explain
relative
importance
of
natural
anthropogenic
factors
erosion.
The
main
conclusions
are
as
follows:
(1)
From
1990
2020,
significant
in
occurred
Kunming,
with
continuous
reduction
woodland,
grassland,
cropland,
being
converted
into
construction
land,
which
grew
by
195.18%
compared
1990.
(2)
During
this
period,
modulus
decreased
from
133.85
t/(km²·a)
130.32
loss
74,485.46
t/a,
mainly
due
conversion
cropland
ecological
lands
(woodland,
grassland).
(3)
expansion
will
continue,
it
is
expected
that
2050,
decrease
3.77
t/(km²·a),
4.27
3.27
under
development,
rapid
protection
scenarios,
respectively.
However,
scenario,
increased
0.26
2020.
(4)
spatial
pattern
influenced
both
factors,
human
activities
intensify
future,
influence
further
increase.
Traditionally,
thought
increase
loss.
Our
may
offer
new
perspective
provide
planning
management
Kunming.
The
transition
to
renewable
energy
exacerbates
direct
land
occupation
by
infrastructure,
leading
habitat
degradation
and
biodiversity
loss.
However,
loss
driven
the
production
consumption
of
different
deployment
scenarios
remains
largely
unquantified.
Quantifying
associated
with
infrastructure
is
essential
for
a
sustainable
transition.
Here,
we
developed
novel
data
set
evaluate
energy-related
considering
current
setting
future
development
pathways.
We
found
that
resulted
in
global
equivalent
amounting
19
×
10–4
pdf
2015.
Severe
was
concentrated
primarily
densely
populated
economically
advanced
countries,
such
as
China,
United
States,
Brazil,
India,
Australia,
Russia,
countries
across
Western
Europe.
International
trade
accounted
14%
Future
will
lead
cumulative
1.2
10–2–2.2
10–2
during
2015–2060.
By
2060,
ambitious
policies
are
projected
increase
1.7–1.8
times.
results
underscore
while
could
tackle
climate
change,
its
should
avoid
encroaching
on
hotspots.
Earth Surface Processes and Landforms,
Journal Year:
2025,
Volume and Issue:
50(3)
Published: March 6, 2025
Abstract
Soil
erosion
presents
a
substantial
environmental
obstacle
for
farmers,
especially
in
the
plains
of
Indus
Basin,
which
are
characterised
by
rainfall
scarcity.
This
study
utilised
remotely
sensed
data
on
Google
Earth
Engine
(GEE)
to
estimate
yearly
soil
implementing
Revised
Universal
Loss
Equation
(RUSLE)
model
Central
Basin.
The
study's
primary
objective
was
determine
order
importance
and
execute
conservation
strategies.
input
datasets
were
processed
GEE
produce
essential
factors,
including
erosivity
(
R
),
erodibility
K
slope
length
steepness
LS
land
cover
C
)
management
techniques
P
required
model.
area
varied
from
1
26.2
t
ha
−1
year
.
combined
regions
with
low,
moderate,
high,
extremely
high
rates
amounted
445
397
ha.
More
precisely,
8670
(0.6%),
263
062
(18.2%)
468
310
(32.4%)
allocated
as
first,
second
third‐class
priority
areas,
respectively.
These
areas
geographically
dispersed
across
northwest
eastern
basin,
sandy
dunes
infrequent
agricultural
cultivation.
highlighted
usability
reliable
estimation
large
scale.
methodology
amplifies
effectiveness
planning
endeavours.
