IEEE Sensors Journal,
Journal Year:
2025,
Volume and Issue:
25(4), P. 7569 - 7583
Published: Jan. 3, 2025
Ground
Penetrating
Radar
(GPR)
forward
and
inversion
methods
are
key
techniques
for
studying
radar
imaging
mechanisms
investigating
subsurface
scenes.
Efficiently
interpreting
wave
data
will
facilitate
the
development
of
structure
detection
applications,
especially
in
intricate
plant
root
distribution.
Existing
models
constrained
by
highly
computational
time-consuming
process,
making
it
difficult
to
be
applied
complex
real-world
scenarios.
Inspired
spatio-temporal
properties
during
imaging,
a
spatial
temporal
fusion
cycle
U-shaped
model
named
GPR-CUNet
was
proposed.
The
is
more
adapted
transformation
between
permittivity
distribution
GPR
B-Scan
environment.
Firstly,
extract
features
from
data,
Spatio-Temporal
Feature
Fusion
Module
(STFM)
based
on
CNN
BiLSTM
designed.
Then,
translation
two
identical
networks
with
STFM
module
were
constructed.
Finally,
guided
predictive
consistency
cyclic
consistency,
hybrid
loss
function
multi-scale
structural
similarity
(MS-SSIM)
L1
norm
configured
boost
performance
both
networks.
numerical
simulation
experiments
revealed
that
proposed
imparted
exceptional
efficiency
prediction
reconstruction
under
In
pre-burial
field
testing,
our
can
effectively
recover
soil
horizons
Accurate
scene
provide
theoretical
basis
three-dimensional
physical
media
zones.
New Phytologist,
Journal Year:
2022,
Volume and Issue:
235(3), P. 1032 - 1056
Published: Feb. 12, 2022
Although
the
above
and
belowground
sizes
shapes
of
plants
strongly
influence
plant
competition,
community
structure,
plant-environment
interactions,
remain
poorly
characterized
across
climate
regimes.
We
investigated
relationships
among
shoot
root
system
size
climate.
assembled
analyzed,
to
our
knowledge,
largest
global
database
describing
maximum
rooting
depth,
lateral
spread,
terrestrial
-
more
than
doubling
Root
Systems
Individual
Plants
5647
observations.
Water
availability
growth
form
greatly
size,
depth
is
primarily
influenced
by
temperature
seasonality.
Shoot
strongest
predictor
with
diameter
being
two
times
wider
width
on
average
for
woody
plants.
covaries
size;
however,
geometries
differ
considerably
climates,
in
arid
climates
having
shorter
shoots,
but
deeper,
narrower
systems.
Additionally,
estimates
spread
systems
are
likely
underestimated
at
scale.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: March 7, 2024
Abstract
Plant
diversity
effects
on
community
productivity
often
increase
over
time.
Whether
the
strengthening
of
is
caused
by
temporal
shifts
in
species-level
overyielding
(i.e.,
higher
diverse
communities
compared
with
monocultures)
remains
unclear.
Here,
using
data
from
65
grassland
and
forest
biodiversity
experiments,
we
show
that
strength
at
scale
underpinned
changes
species
yield.
These
trends
are
shaped
plant
ecological
strategies,
which
can
be
quantitatively
delimited
functional
traits.
In
grasslands,
was
associated
increasing
biomass
resource-conservative
time,
characterized
fast
resource
acquisition
either
decreasing
or
increasing.
forests,
differ
when
considering
above-
versus
belowground
strategies.
Overyielding
stem
growth
decreased
for
high
light
capture
capacity
but
increased
those
soil
capacity.
Our
results
imply
a
different,
potentially
complementary,
strategies
beneficial
maintaining
time
both
ecosystems.
New Phytologist,
Journal Year:
2024,
Volume and Issue:
241(6), P. 2410 - 2422
Published: Jan. 12, 2024
Summary
Uncertainty
persists
within
trait‐based
ecology,
partly
because
few
studies
assess
multiple
axes
of
functional
variation
and
their
effect
on
plant
performance.
For
55
species
from
two
semiarid
grasslands,
we
quantified:
(1)
covariation
between
economic
traits
leaves
absorptive
roots,
(2)
among
traits,
height,
leaf
size,
seed
mass,
(3)
relationships
these
species'
abundance.
Pairs
analogous
root
were
at
least
weakly
positively
correlated
(e.g.
specific
area
(SLA)
length
(SRL)).
Two
pairs
such
N
content
DMC
moderately
(
r
>
0.5)
whether
grouped
by
site,
taxonomic
group
growth
form,
or
life
history.
Root
diameter
was
with
mass
for
all
groups
except
annuals
monocots.
Species
higher
dry
matter
(LDMC)
tended
to
be
more
abundant
=
0.63).
Annuals
larger
seeds
0.69).
Compared
global‐scale
syntheses
many
observations
mesic
ecosystems,
observed
stronger
correlations
weaker
SLA
N,
SRL
N.
In
persistence
may
require
coordination
above‐
belowground
dense
tissues
facilitate
dominance.
Diversity and Distributions,
Journal Year:
2024,
Volume and Issue:
30(4)
Published: Feb. 21, 2024
Abstract
Aim
Functional
trait
space
analyses
are
pivotal
to
describe
and
compare
organisms'
functional
diversity
across
the
tree
of
life.
Yet,
there
is
no
single
application
that
streamlines
many
sometimes‐troublesome
steps
needed
build
analyse
spaces.
Innovation
To
fill
this
gap,
we
propose
funspace
,
an
R
package
easily
handle
bivariate
multivariate
analyses.
The
six
functions
constitute
can
be
grouped
in
three
modules:
‘Building
exploring’,
‘Mapping’
‘Plotting’.
building
exploring
module
defines
main
features
a
(e.g.
metrics)
by
leveraging
kernel
density‐based
methods.
mapping
uses
general
additive
models
map
how
target
variable
distributes
within
space.
plotting
provides
options
for
creating
flexible
publication‐ready
figures
representing
outputs
obtained
from
previous
modules.
We
provide
worked
example
demonstrate
complete
workflow.
Main
Conclusions
will
researchers
working
with
traits
life
new
tool
explore:
(i)
any
space,
(ii)
relationship
between
other
biological
or
non‐biological
factor
might
contribute
shaping
species'
diversity.
Ecology Letters,
Journal Year:
2024,
Volume and Issue:
27(3)
Published: March 1, 2024
Abstract
Trait‐based
ecology
has
already
revealed
main
independent
axes
of
trait
variation
defining
spaces
that
summarize
plant
adaptive
strategies,
but
often
ignoring
intraspecific
variability
(ITV).
By
using
empirical
ITV‐level
data
for
two
dimensions
leaf
form
and
function
167
species
across
five
habitat
types
(coastal
dunes,
forests,
grasslands,
heathlands,
wetlands)
in
the
Italian
peninsula,
we
found
ITV:
(i)
rotated
define
space;
(ii)
increased
variance
explained
by
these
(iii)
affected
functional
structure
target
space.
However,
magnitude
effects
was
rather
small
depended
on
type.
Our
results
reinforce
idea
ITV
is
context‐dependent,
calling
careful
extrapolations
patterns
traits
spatial
scales.
Importantly,
our
study
provides
a
framework
can
be
used
to
start
integrating
into
space
analyses.
Journal of Ecology,
Journal Year:
2023,
Volume and Issue:
111(4), P. 875 - 888
Published: Jan. 19, 2023
Abstract
Plants
live
in
association
with
a
diversity
of
soil
microorganisms,
which
are
extremely
important
affecting
plant
growth
and
biogeochemical
cycling.
By
adopting
trait‐based
approaches,
we
explored
the
linkages
between
rhizosphere
microbial
activity
resource
acquisition
strategy
above‐
below‐ground
across
range
tree
species
subtropical
evergreen
mixed
forest.
The
activities
were
represented
by
diverse
extracellular
enzymes
relevant
to
carbon,
nitrogen
phosphorus
cycling
organic
carbon
(SOC)
mineralization.
At
level,
leaf
root
traits
mainly
two
leading
dimensions,
that
is,
‘fast‐slow’
economics
spectrum
on
well
aligned
orthogonal
collaboration
gradient
root.
Both
SOC
mineralization
varied
greatly
species.
We
found
positively
correlated
classical
conservation
(especially
above‐ground),
microbes
associated
fast‐growing
feature
higher
metabolism
than
slow‐growing
In
comparison,
independent
root,
it
might
be
an
alternative
exploitative
foraging
nutrients
for
plants.
Synthesis
.
Our
study
strengthens
multivariate
nature
adapting
stresses.
findings
have
potential
improve
our
understanding
prediction
turnover
impacts
cycles.
Science,
Journal Year:
2023,
Volume and Issue:
379(6630), P. 393 - 398
Published: Jan. 26, 2023
Rapid
evolution
remains
a
largely
unrecognized
factor
in
models
that
forecast
the
fate
of
ecosystems
under
scenarios
global
change.
In
this
work,
we
quantified
roles
heritable
variation
plant
traits
and
trait
explaining
variability
forecasts
state
coastal
wetland
ecosystems.
A
common
garden
study
genotypes
dominant
sedge
Schoenoplectus
americanus
,
“resurrected”
from
time-stratified
seed
banks,
revealed
explained
key
ecosystem
attributes
such
as
allocation
distribution
belowground
biomass.
Incorporating
into
an
model
altered
predictions
carbon
accumulation
soil
surface
accretion
(a
determinant
marsh
resilience
to
sea
level
rise),
demonstrating
importance
accounting
for
evolutionary
processes
when
forecasting
dynamics.