Hydrology and earth system sciences,
Journal Year:
2021,
Volume and Issue:
25(4), P. 2239 - 2259
Published: April 26, 2021
Abstract.
Quantifying
how
vegetation
mediates
water
partitioning
at
different
spatial
and
temporal
scales
in
complex,
managed
catchments
is
fundamental
for
long-term
sustainable
land
management.
Estimations
from
ecohydrological
models
conceptualising
regulates
the
interrelationships
between
evapotranspiration
losses,
catchment
storage
dynamics,
recharge
runoff
fluxes
are
needed
to
assess
availability
a
range
of
ecosystem
services
evaluate
these
might
change
under
increasing
extreme
events,
such
as
droughts.
Currently,
feedback
mechanisms
mosaics
cover
not
well
understood
across
scales,
effects
on
skill
needs
be
clarified.
We
used
tracer-aided
model
EcH2O-iso
an
intensively
monitored
66
km2
mixed
use
northeastern
Germany
quantify
flux–storage–age
interactions
four
grid
resolutions
(250,
500,
750,
1000
m).
This
fusion
field
(including
precipitation,
soil
water,
groundwater,
stream
isotopes)
remote
sensing
data
calibration.
Multicriteria
calibration
each
resolution
revealed
some
differences
estimation
fluxes,
storages,
ages.
In
general,
sensitivity
decreased
uncertainty
increased
with
coarser
resolutions.
Larger
grids
were
unable
replicate
observed
streamflow
distributed
isotope
dynamics
way
smaller
pixels
could.
However,
using
still
helped
constrain
storage,
ages
Despite
same
parameterisation
resolutions,
modelled
proportion
differed
slightly
resolution,
coarse
simulating
higher
evapotranspiration,
lower
relative
transpiration,
overland
flow,
slower
groundwater
movement.
Although
also
overall
performance,
results
broadly
similar.
The
study
shows
that
tracers
provide
effective
constraints
larger
modelling
help
us
understand
influence
simulation
vegetation–soil
interactions.
essential
interpreting
associated
estimating
large-scale
“blue”
(ground
surface
water)
“green”
(vegetation
evaporated
particularly
future
environmental
change.
Wiley Interdisciplinary Reviews Water,
Journal Year:
2016,
Volume and Issue:
3(5), P. 629 - 657
Published: May 16, 2016
In
spite
of
trying
to
understand
processes
in
the
same
spatial
domain,
catchment
hydrology
and
water
quality
scientific
communities
are
relatively
disconnected
so
their
respective
models.
This
is
emphasized
by
an
inadequate
representation
transport
processes,
both
catchment‐scale
hydrological
While
many
models
at
scale
only
account
for
pressure
propagation
not
mass
transfer,
typically
limited
overly
simplistic
representations
flow
processes.
With
objective
raising
awareness
this
issue
outlining
potential
ways
forward
we
provide
a
nontechnical
overview
(1)
importance
hydrology‐controlled
through
systems
as
link
between
quality;
(2)
limitations
current
generation
models;
(3)
concept
transit
times
tools
quantify
transport;
(4)
benefits
time
based
formulations
solute
There
emerging
evidence
that
explicit
formulation
on
has
improve
understanding
integrated
system
dynamics
catchments
stronger
WIREs
Water
2016,
3:629–657.
doi:
10.1002/wat2.1155
article
categorized
under:
Science
>
Hydrological
Processes
Quality
New Phytologist,
Journal Year:
2018,
Volume and Issue:
221(2), P. 652 - 668
Published: Oct. 19, 2018
Contents
Summary
652
I.
Introduction
II.
Discrepancy
in
predicting
the
effects
of
rising
[CO
2
]
on
terrestrial
C
sink
655
III.
Carbon
and
nutrient
storage
plants
its
modelling
656
IV.
Modelling
source
sink:
a
plant
perspective
657
V.
Plant‐scale
water
flux
models
660
VI.
Challenges
for
future
662
Acknowledgements
663
Authors
contributions
References
The
increase
atmospheric
CO
is
one
most
certain
projections
environmental
sciences.
Understanding
whether
vegetation
carbon
assimilation,
growth,
changes
stocks
are
affected
by
higher
translating
this
understanding
mechanistic
utmost
importance.
This
highlighted
inconsistencies
between
global‐scale
studies
that
attribute
sinks
to
stimulation
gross
net
primary
production
hand,
forest
inventories,
tree‐scale
studies,
physiological
evidence
showing
much
less
pronounced
fertilization
effect
other
hand.
Here,
we
review
how
sources
currently
described
biosphere
models.
We
highlight
an
uneven
representation
complexity
photosynthesis
processes,
such
as
respiration,
direct
sinks,
allocation,
largely
driven
available
observations.
Despite
general
lack
data
dynamics
drive
model
improvements,
ways
forward
toward
discussed,
leveraging
results
obtained
from
plant‐scale
observations
geared
developments.
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Jan. 27, 2020
Abstract
Most
soil
hydraulic
information
used
in
Earth
System
Models
(ESMs)
is
derived
from
pedo-transfer
functions
that
use
easy-to-measure
attributes
to
estimate
parameters.
This
parameterization
relies
heavily
on
texture,
but
overlooks
the
critical
role
of
structure
originated
by
biophysical
activity.
Soil
omission
pervasive
also
sampling
and
measurement
methods
train
pedotransfer
functions.
Here
we
show
how
systematic
inclusion
salient
structural
features
origin
affect
local
global
hydrologic
climatic
responses.
Locally,
including
models
significantly
alters
infiltration-runoff
partitioning
recharge
wet
vegetated
regions.
Globally,
coarse
spatial
resolution
ESMs
their
inability
simulate
intense
short
rainfall
events
mask
effects
surface
fluxes
climate.
Results
suggest
although
affects
response,
its
implications
global-scale
climate
remains
elusive
current
ESMs.
New Phytologist,
Journal Year:
2019,
Volume and Issue:
222(3), P. 1207 - 1222
Published: Jan. 13, 2019
Summary
Models
of
plant
water
fluxes
have
evolved
from
studies
focussed
on
understanding
the
detailed
structure
and
functioning
specific
components
soil–plant–atmosphere
(
SPA
)
continuum
to
architectures
often
incorporated
inside
eco‐hydrological
terrestrial
biosphere
TB
model
schemes.
We
review
here
historical
evolution
this
field,
examine
basic
a
simplified
individual‐based
transport,
highlight
selected
applications
for
ecological
problems
conclude
by
examining
outstanding
issues
requiring
further
improvements
in
modelling
vegetation
fluxes.
particularly
emphasise
related
scaling
tissue‐level
traits
predictions
representation
nonlinear
hysteretic
behaviour
soil–xylem
hydraulics
need
incorporate
knowledge
within
broader
frameworks
strategies
their
consequences
predicting
community
demography
dynamics.
Global Change Biology,
Journal Year:
2020,
Volume and Issue:
26(3), P. 1608 - 1625
Published: Jan. 9, 2020
The
mountain
systems
of
the
Hindu
Kush
Himalaya
(HKH)
are
changing
rapidly
due
to
climatic
change,
but
an
overlooked
component
is
subnival
ecosystem
(between
treeline
and
snow
line),
characterized
by
short-stature
plants
seasonal
snow.
Basic
information
about
vegetation
distribution
rates
change
not
known,
yet
such
needed
understand
relationships
between
ecology
water/carbon
cycles.
We
show
that
HKH
ecosystems
cover
five
15
times
area
permanent
glaciers
snow,
highlighting
their
eco-hydrological
importance.
Using
satellite
data
from
Landsat
5,
7
8
missions,
we
measured
in
spatial
extent
1993
2018.
surface
reflectance-derived
Normalized
Difference
Vegetation
Index
product
was
thresholded
at
0.1
indicate
presence/absence
vegetation.
this
product,
strength
direction
time-series
trends
green
pixel
fraction
were
within
three
regions
interest.
controlled
for
cloud
cover,
evaluated
impact
sensor
radiometric
differences
8.
Google
Earth
Engine
expedite
processing
tasks,
there
has
been
a
weakly
positive
increase
since
1993.
Strongest
most
significant
found
height
region
5,000-5,500
m
a.s.l.
across
extent:
R2
=
.302,
Kendall's
τ
0.424,
p
<
.05,
varied
regionally,
with
height,
according
sensors
included
time
series.
Positive
lower
elevations
occurred
on
steeper
slopes
whilst
higher
elevations,
flatter
areas
exhibited
stronger
trends.
validated
our
findings
using
online
photographs.
Subnival
ecological
changes
have
likely
impacted
carbon
water
cycles
impacts
millions
people
living
downstream,
expansion
remain
unknown.
Journal of Advances in Modeling Earth Systems,
Journal Year:
2021,
Volume and Issue:
13(4)
Published: Feb. 6, 2021
Abstract
Plants
are
expected
to
face
increasing
water
stress
under
future
climate
change.
Most
land
surface
models,
including
Noah‐MP,
employ
an
idealized
“big‐leaf”
concept
regulate
and
carbon
fluxes
in
response
soil
moisture
through
empirical
hydraulics
schemes
(SHSs).
However,
such
have
been
shown
cause
significant
uncertainties
simulations.
In
this
paper,
we
present
a
novel
plant
scheme
(PHS)
for
Noah‐MP
(hereafter,
Noah‐MP‐PHS),
which
employs
big‐tree
rather
than
big‐leaf
concept,
wherein
the
whole‐plant
hydraulic
strategy
is
considered,
root‐level
acquisition,
stem‐level
conductance
capacitance,
leaf‐level
anisohydricity
capacitance.
Evaluated
against
plot‐level
observations
from
mature,
mixed
hardwood
forest
at
University
of
Michigan
Biological
Station
compared
with
default
Noah‐MP‐PHS
better
represents
improves
simulations,
especially
during
periods
dry
conditions.
also
asymmetrical
diel
simulation
gross
primary
production
low
able
reproduce
different
patterns
transpiration,
stem
storage
root
uptake
2‐week
dry‐down
period
two
species
contrasting
behaviors,
i.e.,
“cavitation
risk‐averse”
red
maple
risk‐prone”
oak.
Sensitivity
experiments
capacitance
show
that
enables
nocturnal
recharge,
affects
use
efficiency,
provides
important
buffer
relieve
xylem
Earth system science data,
Journal Year:
2021,
Volume and Issue:
13(6), P. 2607 - 2649
Published: June 14, 2021
Abstract.
Plant
transpiration
links
physiological
responses
of
vegetation
to
water
supply
and
demand
with
hydrological,
energy,
carbon
budgets
at
the
land–atmosphere
interface.
However,
despite
being
main
land
evaporative
flux
global
scale,
its
response
environmental
drivers
are
currently
not
well
constrained
by
observations.
Here
we
introduce
first
compilation
whole-plant
data
from
sap
flow
measurements
(SAPFLUXNET,
https://sapfluxnet.creaf.cat/,
last
access:
8
June
2021).
We
harmonized
quality-controlled
individual
datasets
supplied
contributors
worldwide
in
a
semi-automatic
workflow
implemented
R
programming
language.
Datasets
include
sub-daily
time
series
hydrometeorological
for
one
or
more
growing
seasons,
as
metadata
on
stand
characteristics,
plant
attributes,
technical
details
measurements.
SAPFLUXNET
contains
202
globally
distributed
2714
plants,
mostly
trees,
174
species.
has
broad
bioclimatic
coverage,
woodland/shrubland
temperate
forest
biomes
especially
represented
(80
%
datasets).
The
cover
wide
variety
structural
characteristics
sizes.
encompass
period
between
1995
2018,
50
least
3
years
long.
Accompanying
radiation
vapour
pressure
deficit
available
most
datasets,
while
on-site
soil
content
is
56
datasets.
Many
contain
species
that
make
up
90
total
basal
area,
allowing
estimation
diverse
ecological
settings.
adds
existing
trait
ecosystem
networks,
remote
sensing
products
help
increase
our
understanding
use,
drought,
ecohydrological
processes.
version
0.1.5
freely
Zenodo
repository
(https://doi.org/10.5281/zenodo.3971689;
Poyatos
et
al.,
2020a).
“sapfluxnetr”
package
–
designed
access,
visualize,
process
CRAN.
Geoderma,
Journal Year:
2023,
Volume and Issue:
440, P. 116713 - 116713
Published: Nov. 16, 2023
Assessing
root
sources
of
three
uncertainties
–
parameterization
soil
hydraulic
characteristics,
boundary
conditions,
and
estimation
source/sink
terms
is
a
significant
challenge
in
water
transport
modeling.
This
study
aims
to
evaluate
the
uncertainty
each
widely-used
parameter
methods
affecting
plot-scale
dynamics.
The
employs
HYDRUS,
process-based
hydrologic
model,
incorporate
these
compare
model
predictions
measured
values
semiarid
Inner
Mongolia
steppe,
China.
Soil
parameters
are
determined
using
two
direct
(laboratory-derived
approach
evaporation
method)
one
indirect
method
(neural
network).
While
generally
simulates
moisture
dynamics,
performed
better,
especially
under
dry
conditions.
suggests
that
measuring
intensity
properties,
such
as
unsaturated
conductivity,
with
crucial
for
reasonable
simulation.
also
demonstrates
impact
different
applied
conditions
on
simulated
moisture,
specifically
partitioning
reference
FAO
evapotranspiration
via
(soil
fraction
cover)
(leaf
area
index
crop
height).
cover
reflected
better
Additionally,
compares
uptake
function
growth
constant
depth
referenced
grass
pasture,
finds
no
difference
among
them.
Comparing
predicting
concludes
input
more
sensitive
than
or
representation
function.
Our
highlights
properties
can
reflect
effects
land
use
change,
compaction,
field
transports.