Frontiers in Water,
Journal Year:
2024,
Volume and Issue:
6
Published: May 16, 2024
Across
the
western
United
States,
forests
are
changing
rapidly,
with
uncertain
impacts
on
snowmelt
water
resources.
Snow
partitioning
is
controlled
by
forest
effects
interception,
radiation,
and
sublimation.
Yet,
models
often
lack
snow
measurements
sufficiently
high
spatial
temporal
resolution
across
gradients
of
structure
to
accurately
represent
these
fine-scale
processes.
Here,
we
utilize
four
Snowtography
stations
in
Arizona,
lower
Colorado
River
Basin,
daily
over
3–5
years
at
~110
positions
distributed
resulting
from
wildfires
mechanical
thinning.
We
combine
lidar
snapshots
train
a
high-resolution
model
run
it
for
6
quantify
how
regulates
snowpack
snowmelt.
These
study
sites
climate
gradient
lower/warmer
ephemeral
(~2,100
m
asl)
higher/colder
seasonal
(~2,800
asl).
Forest
cover
reduced
through
canopy
advanced
timing
but
delayed
sites.
Within
gaps,
shaded
cool
edges
had
greatest
peak
equivalent
(SWE).
Surprisingly,
sunny/warm
gap
produced
more
than
edges,
because
radiation
melted
quickly,
reducing
exposure
Therefore,
SWE
not
an
ideal
proxy
volume
snowpacks,
which
becoming
prevalent
due
warming.
The
results
imply
that
management
can
influence
amount
snowmelt,
there
may
be
decision
trade-offs
between
enhancing
resilience
maximizing
volumes
downstream
Plant Cell & Environment,
Journal Year:
2024,
Volume and Issue:
47(9), P. 3561 - 3589
Published: Feb. 13, 2024
An
exponential
rise
in
the
atmospheric
vapour
pressure
deficit
(VPD)
is
among
most
consequential
impacts
of
climate
change
terrestrial
ecosystems.
Rising
VPD
has
negative
and
cascading
effects
on
nearly
all
aspects
plant
function
including
photosynthesis,
water
status,
growth
survival.
These
responses
are
exacerbated
by
land-atmosphere
interactions
that
couple
to
soil
govern
evolution
drought,
affecting
a
range
ecosystem
services
carbon
uptake,
biodiversity,
provisioning
resources
crop
yields.
However,
despite
global
nature
this
phenomenon,
research
how
incorporate
these
into
resilient
management
regimes
largely
its
infancy,
due
part
entanglement
trends
with
those
other
co-evolving
drivers.
Here,
we
review
mechanistic
bases
at
spatial
scales,
paying
particular
attention
independent
interactive
influence
context
environmental
changes.
We
then
evaluate
consequences
within
key
contexts,
resources,
croplands,
wildfire
risk
mitigation
natural
grasslands
forests.
conclude
recommendations
describing
could
be
altered
mitigate
otherwise
highly
deleterious
rising
VPD.
Biogeosciences,
Journal Year:
2025,
Volume and Issue:
22(4), P. 995 - 1034
Published: Feb. 24, 2025
Abstract.
The
structure,
function,
and
dynamics
of
Earth's
terrestrial
ecosystems
are
profoundly
influenced
by
how
often
(frequency)
long
(duration)
they
inundated
with
water.
A
diverse
array
natural
human-engineered
systems
experience
temporally
variable
inundation
whereby
fluctuate
between
non-inundated
states.
Variable
spans
extreme
events
to
predictable
sub-daily
cycles.
Variably
(VIEs)
include
hillslopes,
non-perennial
streams,
wetlands,
floodplains,
temporary
ponds,
tidal
systems,
storm-impacted
coastal
zones,
systems.
VIEs
in
terms
regimes,
water
chemistry
flow
velocity,
soil
sediment
properties,
vegetation,
many
other
properties.
spatial
temporal
scales
vast,
ranging
from
sub-meter
whole
landscapes
sub-hourly
multi-decadal.
broad
range
system
types
makes
it
challenging
predict
the
hydrology,
biogeochemistry,
ecology,
physical
evolution
VIEs.
Despite
all
experiencing
loss
gain
an
overlying
column,
rarely
considered
together
conceptual,
theoretical,
modeling,
or
measurement
frameworks
approaches.
Studying
has
potential
generate
mechanistic
understanding
that
is
transferable
across
a
much
broader
environmental
conditions,
relative
knowledge
generated
studying
any
one
VIE
type.
We
postulate
enhanced
transferability
will
be
important
for
predicting
changes
function
response
global
change.
Here
we
aim
catalyze
cross-VIE
science
studies
drivers
impacts
To
this
end,
complement
expert
mini-reviews
eight
major
overviews
VIE-relevant
methods
challenges
associated
scale.
conclude
perspectives
on
can
derive
via
unifying
conceptual
models
which
studied
multi-dimensional
space.
Journal of Advances in Modeling Earth Systems,
Journal Year:
2024,
Volume and Issue:
16(12)
Published: Nov. 30, 2024
Abstract
Reactive
Transport
Models
(RTMs)
are
essential
tools
for
understanding
and
predicting
intertwined
ecohydrological
biogeochemical
processes
on
land
in
rivers.
While
traditional
RTMs
have
focused
primarily
subsurface
processes,
recent
watershed‐scale
integrated
interactions
between
surface
subsurface.
These
emergent,
often
spatially
explicit
require
extensive
data,
computational
power,
expertise.
There
is
however
a
pressing
need
to
create
parsimonious
models
that
minimal
data
accessible
scientists
with
limited
background.
To
end,
we
developed
BioRT‐HBV
1.0,
watershed‐scale,
hydro‐biogeochemical
RTM
builds
upon
the
widely
used,
bucket‐type
HBV
model
known
its
simplicity
requirements.
uses
conceptual
structure
hydrology
output
of
simulate
including
advective
solute
transport
reactions
depend
reaction
thermodynamics
kinetics.
include,
example,
chemical
weathering,
soil
respiration,
nutrient
transformation.
The
time
series
weather
(air
temperature,
precipitation,
potential
evapotranspiration)
initial
conditions
water,
soils,
rocks
as
input,
times
rates
concentrations
waters
This
paper
presents
governing
equations
demonstrates
utility
examples
simulating
carbon
nitrogen
headwater
catchment.
As
shown
examples,
can
be
used
illuminate
dynamics
invisible,
arduous‐to‐measure
subsurface,
their
influence
observed
stream
or
river
chemistry
export.
With
easy‐to‐use
graphical
user
interface,
useful
research
tool
users
without
in‐depth
training.
It
additionally
serve
an
educational
promotes
pollination
ideas
across
disciplines
foster
diverse,
equal,
inclusive
community.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
30(1)
Published: Nov. 2, 2023
Abstract
Wildfires
are
increasing
in
frequency,
intensity,
and
extent
globally
due
to
climate
change
they
can
alter
forest
composition,
structure,
function.
The
destruction
subsequent
regrowth
of
young
vegetation
modify
the
ecosystem
evapotranspiration
downstream
water
availability.
However,
response
recovery
on
hydrology
is
not
well
known
with
even
sign
yield
changes
following
fires
being
uncertain
across
globe.
Here,
we
quantify
effects
after
catastrophic
wildfires
runoff
world's
tallest
angiosperm
(
Eucalyptus
regnans
)
Australia.
We
combine
eddy
covariance
measurements
including
pre‐
post‐fire
periods,
mechanistic
ecohydrological
modeling
then
extend
analysis
spatially
multiple
eucalypt‐dominated
forests
south‐eastern
Australia
by
utilizing
remote
sensing.
find
a
fast
which
reaches
exceeds
pre‐fire
values
within
2
years
bushfire,
result
confirmed
data,
sensing,
modeling.
Such
likely
generalizable
tall
eucalypt
as
shown
Once
variability
discounted,
shows
rates
from
recovering
reach
peak
+20%
3
post‐fire.
As
result,
modeled
decreases
substantially.
Contrary
previous
research,
that
increase
largely
caused
aerodynamic
much
shorter
height
leading
higher
surface
temperature,
humidity
gradients
therefore
increased
transpiration.
increases
constrained
energy
limitations.
Our
an
warming
could
occur
many
parts
world
experiencing
disturbances.
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 18, 2024
Reactive
Transport
Models
(RTMs)
are
essential
for
understanding
and
predicting
intertwined
ecohydrological
biogeochemical
processes
on
land
in
rivers.
While
traditional
RTMs
have
focused
primarily
subsurface
processes,
recent
integrate
hydrological
interactions
between
surface
subsurface.
These
emergent,
watershed-scale
often
spatially
explicit
require
large
amount
of
data
extensive
computational
expertise.
There
is
however
a
pressing
need
to
create
parsimonious
models
that
less
accessible
scientists
with
background.
Here
we
introduce
BioRT-HBV
1.0
(hereafter
BioRT),
watershed-scale,
hydro-biogeochemical
model
builds
upon
the
widely
used,
bucket-type
HBV
(Hydrologiska
Bryåns
Vattenavdelning),
known
its
simplicity
minimal
requirements.
BioRT
uses
conceptual
structure
hydrology
output
simulate
including
solute
transport
reactions
driven
by
reaction
thermodynamics
kinetics.
include,
example,
chemical
weathering,
soil
respiration,
nutrient
transformation.
This
paper
presents
governing
equations,
demonstrates
utility
examples
simulating
carbon
nitrogen
headwater
catchment.
As
shown
examples,
when
constrained
data,
can
be
used
illuminate
dynamics
invisible,
arduous-to-measure
subsurface,
their
connections
observed
export
streams
We
posit
such
increase
accessibility
users
without
in-depth
training.
It
also
serve
as
an
educational
tool
promote
pollination
ideas
across
different
fields
foster
more
diverse,
equal,
inclusive
user
community.
Annals of the New York Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
1538(1), P. 144 - 161
Published: July 31, 2024
Abstract
This
study
analyzes
the
relationship
between
drought
processes
and
crop
yields
in
Moldova,
together
with
effects
of
possible
future
climate
change
on
crops.
The
severity
is
analyzed
over
time
Moldova
using
Standard
Precipitation
Index,
Standardized
Evapotranspiration
their
yields.
In
addition,
rainfall
variability
its
are
examined
spectral
analysis
squared
wavelet
coherence.
Observed
station
data
(1950–2020
1850–2020),
ERA5
reanalysis
(1950–2020),
model
simulations
(period
1970–2100)
used.
Crop
yield
(maize,
sunflower,
grape),
from
experimental
plots
(wheat),
Enhanced
Vegetation
Index
Moderate
Resolution
Imaging
Spectroradiometer
satellites
were
also
Results
show
that
although
meteorological
droughts
has
decreased
last
170
years,
impact
precipitation
deficits
different
increased,
concurrent
a
sharp
increase
temperature,
which
negatively
affected
Annual
crops
now
more
vulnerable
to
natural
and,
years
characterized
by
deficits,
possibility
reductions
increases
due
temperature.
Projections
reveal
pessimistic
outlook
absence
adaptation,
highlighting
urgency
developing
new
agricultural
management
strategies.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(11)
Published: Nov. 1, 2024
Abstract
Forest
status
is
crucial
for
catchment
hydrology
and
water
quality
but
increasingly
disturbed
by
human
activities
climatic
factors.
Therefore,
it
urgently
necessary
to
develop
models
that
can
adapt
these
changes.
This
study
used
a
new
dynamic
Hydrological
Predictions
the
Environment
(HYPE)
model
assess
effect
of
rapid
continuous
forest
changes
on
nitrogen
export.
The
modified
HYPE
was
implemented
25
years
period
in
Große
Ohe
Germany,
which
has
experienced
severe
dieback
recovery.
Due
stochastic
nature
infestation
events,
data
covering
entire
process
change
are
rare.
performed
well
at
different
scales
discharge
dissolved
inorganic
(DIN)
It
able
(a)
capture
timing
peak
flows
seasonal
DIN
concentration
dynamics
(b)
reflect
initial
increase
subsequent
decrease
trend
export
accordance
with
regeneration.
after
primarily
resulted
from
reduced
uptake
increased
soil
availability
tree
residues.
difference
runoff
increment
or
without
regeneration
highlights
importance
restoring
quality.
Additionally,
residue
removal
implies
impact
sound
post‐disturbance
management
strategies.
modeling
under
changing
forests
enhance
analysis
effectively
support
management.
Frontiers in Water,
Journal Year:
2023,
Volume and Issue:
5
Published: Nov. 2, 2023
Exponentially
growing
publication
rates
are
increasingly
problematic
for
interdisciplinary
fields
like
Critical
Zone
(CZ)
science.
How
does
one
“keep
up”
across
different,
but
related
with
unique
hypotheses,
field
techniques,
and
models?
By
surveying
CZ
academics
in
the
Western
US,
a
region
substantial
research,
we
document
challenge.
While
conventional
knowledge
synthesis
products-particularly
review
papers
clearly
support
transfer,
they
static
limited
scope.
More
informal
paths
including
social
networking
at
conferences
academic
mentorship,
useful
unstructured
young
scientists
or
others
who
may
not
have
access
to
these
resources.
new
machine-learning
tools,
ChatGPT,
offer
ways
forward
synthesis,
argue
that
do
necessarily
solve
problem
of
information
overload
Science.
Instead,
what
need
is
community
driven,
machine
aided
tool
evolves
connects,
preserves
richness
detail
found
peer-reviewed
papers.
The
platform
would
be
designed
by
scientists,
machine-aided
built
on
strengths
people-driven
synthesis.
involving
scientist
design
this
tool,
it
will
better
reflect
practice
science-including
hypothesis
generation,
testing
different
time
space
scales
periods
locations,
and,
importantly,
use
evaluation
multiple,
often
sophisticated
methods
fieldwork,
remote
sensing,
modeling.
We
seek
increases
findability
accessibility
current
working
while
communicating
science
practice.