Environmental Research Letters,
Journal Year:
2024,
Volume and Issue:
19(12), P. 124018 - 124018
Published: Oct. 17, 2024
Abstract
Vegetation
roots
play
an
essential
role
in
regulating
the
hydrological
cycle
by
removing
water
from
subsurface
and
releasing
it
to
atmosphere.
However,
present
understanding
of
drivers
ecosystem-scale
root
development
their
spatial
variability
globally
is
limited.
This
study
investigates
varying
roles
climate,
landscape,
vegetation
on
magnitude
zone
storage
capacity
(
Sr
)
worldwide,
which
defined
as
maximum
volume
moisture
accessible
roots.
To
this
aim,
we
quantified
evaluated
21
possible
controls
for
3612
river
catchments
worldwide
using
a
random
forest
machine
learning
model.
Our
findings
reveal
climate
primary,
but
spatially
varying,
driver
ecosystem
scale
with
landscape
characteristics
playing
minor
role.
More
specifically,
found
mean
inter-storm
duration
most
dominant
control
globally,
followed
temperature,
precipitation,
topographic
slope.
While
duration,
slope
exhibit
consistent
relation
between
precipitation
varies
spatially.
Based
variability,
classified
two
different
regimes:
driven
energy
The
precipitation-driven
regime
exhibits
positive
up
3
mm
mathvariant="normal">d
−1
,
above
flattens
eventually
becomes
negative.
energy-limited
strictly
negative
.
Using
model
based
these
three
variables
variable
slope,
generated
global
gridded
dataset
closely
resembles
other
datasets
characteristics.
suggests
that
our
parsimonious
approach
four
available
estimate
has
potential
be
readily
easily
integrated
into
parameterization
land
surface
models.
may
enhance
accuracy
predictions
land–atmosphere
exchange
fluxes
extremes
providing
robust
representation
both
temporal
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(17), P. 4011 - 4033
Published: Sept. 3, 2024
Abstract.
Climatic
variability
can
considerably
affect
catchment-scale
root
zone
storage
capacity
(Sumax),
which
is
a
critical
factor
regulating
latent
heat
fluxes
and
thus
the
moisture
exchange
between
land
atmosphere
as
well
hydrological
response
biogeochemical
processes
in
terrestrial
systems.
However,
direct
quantification
of
changes
Sumax
over
long
time
periods
mechanistic
drivers
thereof
at
catchment
scale
are
missing
so
far.
As
consequence,
it
remains
unclear
how
climatic
variability,
such
precipitation
regime
or
canopy
water
demand,
affects
fluctuations
may
influence
partitioning
therefore
also
scale.
Based
on
long-term
daily
records
(1953–2022)
upper
Neckar
River
basin
Germany,
we
found
that
hydro-climatic
conditions,
with
an
aridity
index
IA
(i.e.
EP/P)
ranging
∼
0.9
1.1
multiple
consecutive
20-year
periods,
was
accompanied
by
deviations
ΔIE
−0.02
0.01
from
expected
IE
inferred
parametric
Budyko
curve.
Similarly,
Sumax,
95
115
mm
20
%,
were
observed
same
period.
While
uncorrelated
mean
potential
evaporation,
shown
magnitude
controlled
ratio
winter
to
summer
(p
<
0.05).
In
other
words,
study
region
does
not
depend
overall
wetness
condition
for
example
expressed
IA,
but
rather
supply
distributed
year.
be
ΔIE.
Consequently,
replacing
average,
time-invariant
estimate
time-variable,
dynamically
changing
formulation
parameter
model
did
result
improved
representation
fluxes,
(and
thereof),
shorter-term
dynamics.
Overall,
this
provides
quantitative
evidence
significantly
decades,
reflecting
vegetation
adaptation
variability.
temporal
evolution
cannot
explain
heat)
curve
different
conditions.
have
any
significant
effects
characteristics
catchment.
This
further
suggests
accounting
time-variable
improve
its
ability
reproduce
minor
importance
predicting
climate
next
decades
come.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(19), P. 4477 - 4499
Published: Oct. 14, 2024
Abstract.
The
root
zone
is
a
vital
part
of
the
Earth
system
and
key
element
in
hydrology,
ecology,
agronomy,
land
surface
processes.
However,
its
definition
varies
across
disciplines,
creating
barriers
to
interdisciplinary
understanding.
Moreover,
characterizing
challenging
due
lack
consensus
on
definitions,
estimation
methods,
their
merits
limitations.
This
opinion
paper
provides
holistic
from
hydrology
perspective,
including
moisture
storage,
deficit,
storage
capacity.
We
demonstrate
that
plays
critical
role
biosphere,
pedosphere,
rhizosphere,
lithosphere,
atmosphere,
cryosphere
system.
underscore
limitations
traditional
reductionist
approach
modelling
this
complex
dynamic
advocate
for
shift
towards
holistic,
ecosystem-centred
approach.
argue
offers
more
systematic,
simple,
dynamic,
scalable,
observable
way
describe
predict
science.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(20), P. 4577 - 4597
Published: Oct. 23, 2024
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
in
Meuse
basin.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US
that
are
hydro-climatically
comparable
to
basin,
we
construct
inter-decadal
distributions
past
deviations
evaporative
ratios
(IE)
from
expected
values
based
catchment
aridity
(IA).
These
ΔIE
were
then
used
estimate
changes
Sr,max
quantify
associated
consequences
Our
findings
reveal
that,
while
do
not
strictly
adhere
their
specific
parametric
Budyko
curves
over
time,
IE
generally
very
minor,
with
an
average
ΔIE=0.01
interquartile
range
(IQR)
−0.01
0.03.
Consequently,
these
minor
lead
limited
Sr,max,
mostly
ranging
between
−10
+21
mm
(−5
%
+10
%).
When
(ΔSr,max)
accounted
hydrological
models,
impact
basin
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first-order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.
Abstract.
This
paper
investigates
the
influence
of
multi-decadal
climatic
variability
on
temporal
evolution
root
zone
storage
capacities
(Sr,max)
and
its
implications
for
streamflow
predictions
at
catchment
scale.
Through
a
comprehensive
analysis
286
catchments
across
Europe
US,
we
analyse
deviations
in
evaporative
ratios
(IE)
from
expected
values
based
aridity
(IA)
their
subsequent
impact
Sr,max
predictions.
Our
findings
reveal
that
while
do
not
strictly
adhere
to
specific
parametric
Budyko
curves
over
time,
IE
are
generally
very
minor,
with
an
average
ΔIE
=
0.01
interquartile
range
IQR=
-0.01
0.03.
Consequently,
these
minor
lead
limited
changes
Sr,max,
mostly
ranging
between
-10.5
+21.5
mm
(-5.1
%
+9.9
%).
When
uncertainties
incorporated
into
hydrological
models,
is
found
be
marginal,
most
significant
shifts
monthly
evaporation
exceeding
4
12
%,
respectively.
study
underscores
utility
Budyko-style
equations
first
order
estimates
future
even
face
climate
change
variability.
research
contributes
more
nuanced
understanding
responses
changing
conditions
offers
valuable
insights
studies
hydrology.