Ecohydrology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 23, 2024
Abstract
River
networks
play
a
fundamental
biogeochemical
role
in
the
Earth
system
by
transporting
and
processing
materials
from
terrestrial
to
ocean
ecosystems.
The
cumulative
function
of
watershed
area
can
broadly
be
referred
as
total
rate
material
performed
its
river
network.
An
important
recent
research,
conducted
through
network
simulations,
has
revealed
that
rivers
scale
superlinearly
with
under
certain
scenarios.
This
finding
significant
implications
for
regional
global
cycles.
Here,
we
demonstrate
how
such
scaling
derived
analytically
combining
power
law
distribution
drainage
area,
universal
fractal
signature
channel
hydraulic
geometry,
utilising
theory
finite‐size
scaling.
results
enable
discrimination
between
linear
superlinear
behaviours,
well
calculation
exact
exponent
based
on
parameters
define
width
change
area.
Furthermore,
investigate
difference
region
drained
multiple
networks,
emphasising
upscaling
efforts.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(2)
Published: Feb. 1, 2025
Abstract
Carbon
dioxide
()
fluxes
in
regulated
Alpine
rivers
are
driven
by
multiple
biogeochemical
and
anthropogenic
processes,
acting
on
different
spatiotemporal
scales.
We
quantified
the
relative
importance
of
these
drivers
their
effects
dynamics
concentration
atmospheric
exchange
a
representative
river
segment
cascading
hydropower
system
with
diversion,
which
includes
two
residual
flow
reaches
reach
subject
to
hydropeaking.
combined
instantaneous
time‐resolved
water
chemistry
hydraulic
measurements
at
times
year,
main
calibrating
one‐dimensional
transport‐reaction
model
measured
data.
As
novelty
compared
previous
inverse
modeling
applications,
also
included
carbonate
buffering,
contributed
significantly
budget
case
study.
The
distribution
depended
operations.
Along
reaches,
were
directly
affected
upstream
dams
only
first
2.5
km,
where
supply
supersaturated
from
reservoirs
was
predominant.
Downstream
diversion
outlets,
dominated
systematic
sub‐daily
fluctuations
transport
evasion
(“carbopeaking”)
Hydropower
operational
patterns
regulation
approaches
affect
response
across
temporal
Our
findings
highlight
considering
all
scales
variations
for
accurate
quantification
understanding
impacts,
clarify
role
natural
global
carbon
cycling.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(3)
Published: March 1, 2025
Abstract
The
amount
and
quality
of
dissolved
organic
carbon
(DOC)
exported
from
terrestrial
to
riverine
ecosystems
are
critical
factors
influencing
aquatic
metabolism
ecosystem
health
in
streams,
rivers,
lakes.
This
study
investigates
the
interplay
between
hydrologic
conditions
DOC
dynamics
an
alpine
catchment,
focusing
on
how
concentration
shift
during
baseflow,
snowmelt,
storm
events.
Such
were
explored
Oberer
Seebach
basin
(Austria)
where
sub‐daily
data,
along
with
high
resolution
excitation‐emission
matrices
absorbance
spectra,
used
characterize
quality.
We
quantitatively
linked
pathways
by
advancing
a
framework
that
couples
water
age,
which
tracks
time
spends
within
Reactivity
Continuum
model,
quantifies
evolution
reactivity
ensuing
concentration.
Results
show
simulating
both
age
effectively
reproduces
concentrations
reveals
correlation
modeled
observed
indices.
During
snowmelt
events,
rapid
transport
reactive
profile
similar
freshly
formed
DOC,
while
slower
carry
less
signature
preceding
degradation
processes.
These
findings
shed
light
role
catchment
hydrology
cycling
its
implications
for
functioning.
Journal of Geophysical Research Biogeosciences,
Journal Year:
2025,
Volume and Issue:
130(4)
Published: April 1, 2025
Abstract
We
determine
where
stream
carbon
dioxide
()
comes
from
by
developing
a
model
for
the
joint
estimation
of
metabolism,
oxygen‐carbon
(O‐C)
stoichiometry,
and
fluxes
dissolved
inorganic
(DIC),
based
on
observations
oxygen
concentrations.
The
is
reach
mass
balance
,
DIC,
total
alkalinity,
it
accounts
carbonate
system
contribution
lateral
flow.
balances
are
coupled
through
stoichiometric
coefficients
photosynthesis
combined
autotrophic
heterotrophic
respiration.
Under
assumption
constant
alkalinity
circumneutral
pH,
simplifies
includes
8
parameters,
which
estimated
Bayesian
hierarchical
framework.
accurately
reproduced
time
series
three
diverse
sites
across
size
chemistry
gradients.
Results
allow
partitioning
DIC
budget,
thus
source
outgassing,
into
internal
(in‐stream
net
ecosystem
production)
external
(lateral
input
terrestrial
atmospheric
input)
contributions.
observed
that
were
typically
different
1—contrary
to
typical
assumptions—leading
divergent
estimates
sources
depending
measurement
(i.e.,
vs.
C).
Parameter
posterior
distributions
revealed
parameter
uncertainty
equifinality
some
processes
in
reproducing
dynamics,
suggesting
targeted
variables
further
investigate
order
better
constrain
C
balance.
proposed
useful
tool
incorporating
rapidly
growing
data
sets
our
understanding
terrestrial‐aquatic
linkages.
Limnology and Oceanography Letters,
Journal Year:
2024,
Volume and Issue:
9(5), P. 524 - 531
Published: Aug. 8, 2024
Abstract
Modeling
and
sensor
innovations
in
the
last
decade
have
enabled
routine
continuous
estimation
of
daily
gross
primary
productivity
(GPP)
for
rivers.
Here,
we
generate
evaluate
within
across
year
variability
59
US
rivers
which
compiled
a
14‐yr
time
series
GPP
estimates.
River
varied
widely
(median
annual
462
g
C
m
−2
yr
−1
,
range
19–3445
)
(CV
GPP‐Inter
5.7–37.3%).
Within
this
dataset,
found
that
five
become
consistently
more
productive
over
time,
while
11
less
productive.
Furthermore,
trends
ecosystem
phenology
were
identified,
where
cumulative
was
reached
earlier
(
n
=
3)
later
13)
25
th
50
75
95
percentiles.
Understanding
drivers
will
elucidate
patterns
river
food
webs
functional
role
biogeochemistry.
Hydrology and earth system sciences,
Journal Year:
2023,
Volume and Issue:
27(20), P. 3733 - 3742
Published: Oct. 23, 2023
Abstract.
Spatially
explicit
mathematical
models
are
key
to
a
mechanistic
understanding
of
environmental
processes
in
rivers.
Such
necessitate
extended
information
on
networks'
morphology,
which
is
often
retrieved
from
geographic
system
(GIS)
software,
thus
hindering
the
establishment
replicable
script-based
workflows.
Here
I
present
rivnet,
an
R
package
for
GIS-free
extraction
and
analysis
river
networks
based
digital
elevation
(DEMs).
The
exploits
TauDEM's
flow
direction
algorithm
user-provided
or
online
accessible
DEMs,
allows
computing
covariate
values
assigning
hydraulic
variables
across
any
network
node.
designed
so
as
require
minimal
user
input
while
allowing
customization
experienced
users.
It
specifically
intended
application
ecohydrological,
ecological
biogeochemical
As
such,
rivnet
aims
make
users
unfamiliar
with
GIS-based
geomorphological
methods
therefore
enhance
use
spatially
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: April 13, 2024
Abstract
The
eco-morphodynamic
activity
of
large
tropical
rivers
interacts
with
riparian
vegetation
causing
implications
for
the
carbon
cycle
within
inland
waters.
Through
a
multi-temporal
analysis
satellite
data
spanning
years
2000–2019,
we
analyzed
exceeding
200
m
in
width
across
regions,
revealing
Carbon
Pump
mechanism
driving
an
annual
mobilization
12.45
million
tons
organic
carbon.
study
identifies
fluvial
eco-morphological
signatures
as
proxies
mobilization,
emphasizing
link
between
river
migration
and
dynamics.
To
enhance
accessibility,
our
results
are
encapsulated
visually
compelling
WebGIS
application,
offering
comprehensive
understanding
eco-geomorphological
influences
on
global
rivers.
Our
findings
instrumental
determining
intensity
future
hydropower
dams,
thereby
contributing
to
informed
decision-making
realm
sustainable
energy
infrastructure.
This
elucidates
intricate
relationships
that
govern
nexus
dynamics,
ecosystems,
cycle.
AGU Advances,
Journal Year:
2024,
Volume and Issue:
5(6)
Published: Nov. 4, 2024
Abstract
Inland
waters
emit
significant
amounts
of
carbon
dioxide
(CO
2
)
to
the
atmosphere;
however,
global
magnitude
and
source
distribution
inland
water
CO
emissions
remain
uncertain.
These
fluxes
have
previously
been
“statistically
upscaled”
by
independently
estimating
dissolved
concentrations
gas
exchange
velocities
calculate
fluxes.
This
scaling,
while
robust
defensible,
has
known
limitations
in
representing
spatial
variability.
Here,
we
develop
calibrate
a
transport
model
for
continental
United
States,
simulating
transformation
>22
million
hydraulically
connected
rivers,
lakes,
reservoirs.
We
estimate
25%
lower
compared
upscaling
estimates
forced
same
observational
calibration
data.
While
precise
are
limited
resolution
parameterizations,
our
suggests
that
stream
corridor
production
dominates
over
groundwater
inputs
at
scale.
Our
results
further
suggest
lack
networks
scalable
metabolic
models
aquatic
most
salient
barriers
coupling
with
other
Earth
system
components.