Simulating Soil Moisture Dynamics in a Diversified Cropping System Under Heterogeneous Soil Conditions
Agronomy,
Год журнала:
2025,
Номер
15(2), С. 407 - 407
Опубликована: Фев. 6, 2025
Agro-ecosystem
models
are
useful
tools
to
assess
crop
diversification
strategies
or
management
adaptations
within-field
heterogeneities,
but
require
proper
simulation
of
soil
water
dynamics,
which
crucial
for
growth.
To
simulate
these,
the
model
requires
hydraulic
parameter
inputs
often
derived
using
pedotransfer
functions
(PTFs).
Various
PTFs
available
and
show
varying
performance;
therefore,
in
this
study,
we
calibrated
validated
an
agro-ecosystem
Hypres
PTF
German
Manual
Soil
Mapping
approach
adjusting
bulk
density
top-
subsoil.
Experimental
data
were
collected
at
“patchCROP”
landscape
laboratory
Brandenburg,
Germany.
The
daily
volumetric
content
(SWC)
12
locations
above
ground
biomass
flowering
used
evaluate
performance.
findings
highlight
importance
calibrating
spatially
heterogeneous
conditions
not
only
growth
parameters,
also
water-related
processes—in
case
by
choice—in
order
capture
interplay
especially
subsoil
heterogeneity,
climate,
management,
moisture
dynamics
their
variability
within
a
field.
results
showed
that
while
impact
was
rather
small,
choice
led
differences
simulating
SWC
biomass.
Employing
PTF,
able
climate
seasonal
interactions
contrasting
reasonably
well.
error
largest
after
intense
rainfall
events
with
loamy
texture.
has
potential
be
study
practices
on
under
conditions.
Язык: Английский
Improving landscape sustainability across urban and rural regions in a changing world
Landscape Ecology,
Год журнала:
2025,
Номер
40(5)
Опубликована: Апрель 28, 2025
Язык: Английский
Advancements and challenges of deep learning architectures for aerial image analysis: A systematic review
Intelligent Systems with Applications,
Год журнала:
2025,
Номер
unknown, С. 200537 - 200537
Опубликована: Июнь 1, 2025
Язык: Английский
Reallocating crops raises crop diversity without changes to field boundaries and farm-level crop composition
Environmental Research Letters,
Год журнала:
2024,
Номер
19(7), С. 074071 - 074071
Опубликована: Июль 1, 2024
Abstract
Higher
crop
diversity
can
enhance
biodiversity
and
ecosystem
services;
however,
it
remains
unclear
to
what
extent
where
be
increased.
We
use
spatially
explicit
multiscale
optimization
determine
potential
attainable
with
field-level
land
data
for
case
studies
in
Brandenburg,
Germany.
Our
model
maximizes
at
the
landscape
scale
while
reassigning
types
over
multiple
years
existing
arable
fields.
The
implements
sequence
rules
maintains
composition
of
each
farm
year.
found
that
a
10%
higher
attained
on
average
compared
currently
observed
diversity;
minor
changes
would
close
this
gap.
Improved
allocation
contribute
closing
gap
between
diversity,
which
turn
increase
biodiversity,
improve
pollination
services,
support
pest
control.
Язык: Английский