Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(8)
Published: April 10, 2024
Abstract
Changes
are
projected
for
the
boreal
biome
with
complex
and
variable
effects
on
forest
vegetation
including
drought‐induced
tree
mortality
loss.
With
soil
atmospheric
conditions
governing
drought
intensity,
specific
drivers
of
trees
water
stress
can
be
difficult
to
disentangle
across
temporal
scales.
We
used
wavelet
analysis
causality
detection
identify
potential
environmental
controls
(evapotranspiration,
moisture,
rainfall,
vapor
pressure
deficit,
air
temperature
photosynthetically
active
radiation)
daily
deficit
longer
periods
dehydration
in
black
spruce
tamarack.
Daily
was
controlled
by
radiation,
temperature,
causing
greater
stand
evapotranspiration.
Prolonged
(multi‐day)
were
regulated
radiation
moisture.
provide
empirical
evidence
that
continued
warming
drying
will
cause
short‐term
increases
tamarack
transpiration,
but
reduced
availability.
Ecohydrology,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: Jan. 1, 2025
ABSTRACT
Isotope
mixing
models
have
become
increasingly
prevalent
in
the
partitioning
of
root
water
uptake.
However,
many
fail
to
incorporate
site
physical
information
a
physically
meaningful
manner,
whereas
others
adopt
discrete
approaches
segmenting
soil
profile
rather
than
continuous
that
aptly
treat
as
continuum
properties
and
conditions.
Here,
we
present
novel
‘multimodal
physically‐based
uptake
isotope
estimation’
model
(Multi‐PRIME).
The
utilizes
flexible,
multimodal
probability
density
function
conjunction
with
water‐stable
isotopes
additional
information,
combined
process‐based
linear
framework.
To
evaluate
approach,
estimates
from
boreal
forest
Pinus
banksiana
trees
were
compared
those
PRIME
MixSIAR
approaches.
yielded
comparable
results;
however,
because
highly
flexible
nature
its
semi‐nonparametric
function,
Multi‐PRIME
reduced
bias
uncertainty
associated
segmentation
specification
parametric
functions
initial
parameter
values
model.
Furthermore,
provided
superior
ability
describe
patterns
cases
multiple
potential
source
regions
In
addition,
due
nature,
surpassed
discrete,
empirically‐based
both
accuracy
certainty.
These
findings
illustrate
benefits
adopting
modelling
framework
semi‐nonparametric,
thereby
providing
an
improvement
our
confidently
estimate
apportionment.
Biogeosciences,
Journal Year:
2025,
Volume and Issue:
22(6), P. 1557 - 1581
Published: March 25, 2025
Abstract.
Predicting
how
increased
atmospheric
CO2
levels
will
affect
water
usage
by
whole,
mature
trees
remains
a
challenge.
The
present
study
investigates
diurnal
(i.e.
daylight)
of
oaks
within
an
old-growth
forest
during
experimental
treatment
season
(April–October,
inclusive).
Over
the
years
2017–2021,
inclusive
(years
1–5
experiment),
we
collected
individual
tree
data
from
18
(Quercus
robur
L.)
large-scale
manipulative
experiment
at
Birmingham
Institute
Forest
Research
(BIFoR)
Free-Air
Enrichment
(FACE)
temperate
in
central
England,
UK.
Diurnal
per
day
(TWU,
L
d−1)
across
leaf-on
seasons
was
derived
these
data.
Equal
numbers
were
monitored
each
treatment:
FACE
infrastructure
arrays
(+150
µ
mol
mol−1)
elevated
(eCO2),
control
ambient
(aCO2)
arrays,
and
“ghost”
(no-treatment,
no-infrastructure)
arrays.
TWU
linearly
proportional
to
stem
radius,
Rb
(∼
3.1
d−1
mm−1;
274
mm
≤
465
mm).
also
very
good
proxy
for
projected
canopy
area,
Ac
(m2),
which
617
m2
m−1).
Applying
stem-to-canopy
relation
implied
mean
July
∼
5
m−2
oak
BIFoR
forest.
We
normalised
derive
TWUn
(L
mm−1).
report
whole-season
effects,
differing
year
on
year,
alongside
July-only
results.
In
2019
2021
seasons,
after
correction
repeated
measures,
there
13
%–16
%,
reduction
eCO2
compared
aCO2
TWUn,
with
marginal
4
%
2020,
but
model
results
not
statistically
significant.
Control
exhibited
significant
27
increase
ghost
whole
2019,
lesser,
nonsignificant
fixed
effects
2020
2021.
Several
factors
may
have
contributed:
installation
or
operation
infrastructure;
array-specific
differences
soil
moisture,
slope,
respiration;
mix
subdominant
species
present.
Our
showing
per-tree
savings
under
align
sap
flow
other
experiments
greatly
extend
duration
observations
oak,
elucidating
seasonal
patterns
interannual
differences.
tree-centred
viewpoint
complements
leaf-level
ground-based
measurements
our
understanding
plant
Frontiers in Forests and Global Change,
Journal Year:
2021,
Volume and Issue:
4
Published: Nov. 4, 2021
The
TreeNet
research
and
monitoring
network
has
been
continuously
collecting
data
from
point
dendrometers
air
soil
microclimate
using
an
automated
system
since
2011.
goal
of
is
to
generate
high
temporal
resolution
datasets
tree
growth
water
dynamics
for
provide
near
real-time
indicators
forest
performance
drought
stress
a
wide
audience.
This
paper
explains
the
key
working
steps
installation
sensors
in
field
acquisition,
transmission,
processing,
online
visualization.
Moreover,
we
discuss
underlying
premises
convert
dynamic
stem
size
changes
into
relevant
biological
information.
Every
10
min,
radii
about
420
trees
13
species
at
61
sites
Switzerland
are
measured
electronically
with
micrometer
precision,
parallel
environmental
conditions
above
below
ground.
automatically
transmitted,
processed
stored
on
central
server.
Automated
processing
(R-based
functions)
includes
screening
outliers,
interpolation
gaps,
extraction
radial
deficit
each
tree.
These
long-term
used
scientific
investigations
as
well
calculate
display
daily
trends
levels
based
historical
current
data.
collection
over
100
million
points
forms
basis
identifying
tree-,
site-
species-specific
processes
along
gradients.
one
few
networks
capable
tracking
diurnal
seasonal
cycles
physiology
real-time,
covering
range
temperate
their
respective
conditions.
Ecohydrology,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Jan. 1, 2024
Abstract
Stable
isotopes
of
hydrogen
and
oxygen
in
water
are
common
tools
for
investigating
uptake
apportionment,
but
many
the
existing
methods
rely
on
simple
linear
mixing
approaches
that
do
not
mechanistically
incorporate
additional
information
about
site
physical
properties
conditions.
Here,
we
develop
a
‘physically
based
root
isotope
estimation’
model
(PRIME)
combines
continuous
parametric
probability
density
function
with
data
process‐based
framework.
To
demonstrate
application
PRIME,
patterns
boreal
forest
Pinus
banksiana
trees
were
estimated
four
dates
2019.
aid
validation,
estimates
compared
Bayesian
framework,
MixSIAR.
The
two
provided
similar
results,
due
to
its
nature,
PRIME
superior
resolution,
certainty,
parsimony.
Although
both
models
into
their
frameworks,
does
so
mechanistic
manner,
thereby
reflecting
relevant
hydrological
processes
more
effectively
than
purely
empirical
approach
taken
by
Furthermore,
because
uses
describe
predicted
pattern,
it
allows
users
quantify
essentially
infinite
through
integration
over
desired
depth
ranges.
These
findings
advantages
utilizing
continuous,
parametric,
estimate
thus
providing
relatively
yet
powerful
tool
which
plant
sourcing.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(8)
Published: April 10, 2024
Abstract
Changes
are
projected
for
the
boreal
biome
with
complex
and
variable
effects
on
forest
vegetation
including
drought‐induced
tree
mortality
loss.
With
soil
atmospheric
conditions
governing
drought
intensity,
specific
drivers
of
trees
water
stress
can
be
difficult
to
disentangle
across
temporal
scales.
We
used
wavelet
analysis
causality
detection
identify
potential
environmental
controls
(evapotranspiration,
moisture,
rainfall,
vapor
pressure
deficit,
air
temperature
photosynthetically
active
radiation)
daily
deficit
longer
periods
dehydration
in
black
spruce
tamarack.
Daily
was
controlled
by
radiation,
temperature,
causing
greater
stand
evapotranspiration.
Prolonged
(multi‐day)
were
regulated
radiation
moisture.
provide
empirical
evidence
that
continued
warming
drying
will
cause
short‐term
increases
tamarack
transpiration,
but
reduced
availability.