Hydrology and earth system sciences,
Journal Year:
2025,
Volume and Issue:
29(4), P. 1083 - 1101
Published: Feb. 27, 2025
Abstract.
Thermal
sensitivity,
defined
as
the
slope
of
a
linear
regression
between
stream
and
air
temperatures,
is
useful
indicator
strength
coupling
meteorological
forcings
temperature
or,
conversely,
presence
non-atmospheric
thermal
influences
such
groundwater
contributions
to
streamflow.
Furthermore,
sensitivity
known
be
responsive
environmental
change.
This
study
expands
current
state
knowledge
in
cold
northern
regions
across
catchment
scales,
investigates
controls
range
dispositions,
assesses
influence
conditions
unique
regions,
namely
permafrost.
We
conducted
analysis
relating
modelled
mean
daily
temperatures
57
catchments
Yukon,
Canada,
with
areas
ranging
from
5.4
86
500
km2
permafrost
probabilities
0.0
0.99.
sensitivities
obtained
regressions
ranged
0.14
0.84
°C
°C−1,
median
0.56
intercepts
−0.07
7.60
°C,
Nash–Sutcliffe
efficiency
0.81.
was
positively
related
area,
land
covers
representing
surface
water
storage,
streamflow
flashiness
or
lack
contributions.
The
greatest
single
characteristic
explaining
variance
topography
(9
%
explained);
however,
39
jointly
explained
by
physiography,
cover,
indicators,
suggesting
result
multiple
interacting
controls.
primary
on
appeared
indirect;
properties
affecting
residence
time,
subsurface
runoff
processes
provide
separate
counteracting
effects
that
are
influencing
sensitivity.
Environmental Research Letters,
Journal Year:
2021,
Volume and Issue:
16(10), P. 104006 - 104006
Published: Sept. 16, 2021
Climate
variations
and
human
modifications
of
the
water
cycle
continue
to
alter
Earth's
surface
energy
exchanges.
It
is
therefore
critical
ascertain
how
these
changes
impact
quality
aquatic
ecosystem
habitat
metrics
such
as
river
temperatures.
Though
temperature
trend
analyses
exist
in
literature,
studies
on
seasonal
trends
temperatures
across
large
spatial
extents,
e.g.
contiguous
United
States
(US),
are
limited.
As
we
show
through
both
annual
monthly
for
20
year
(n
=
138
sites)
40
periods,
US
mask
extensive
variability.
While
most
sites
exhibited
warming
trends,
obscured
sub-annual
cooling
at
many
sites.
Monthly
anomalies
were
spatially
organized,
with
persistent
regional
patterns
reference
human-impacted
The
largest
happened
impacted
during
summer
months.
our
analysis
points
coherence
well
overall
activity
driving
patterns,
did
not
investigate
observation
accuracy
reported
an
area
needed
future
work.
Overall,
emphasize
need
consider
behavior
when
managing
ecological
impacts
throughout
lotic
networks.
Molecular Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 17, 2025
ABSTRACT
Identifying
populations
at
highest
risk
from
climate
change
is
a
critical
component
of
conservation
efforts.
However,
vulnerability
assessments
are
usually
applied
the
species
level,
even
though
intraspecific
variation
in
exposure,
sensitivity
and
adaptive
capacity
play
crucial
role
determining
vulnerability.
Genomic
data
can
inform
by
identifying
signatures
local
adaptation
that
reflect
population‐level
capacity.
Here,
we
address
question
to
temperature
genetic
basis
thermal
tolerance
two
stream
frogs
(
Ascaphus
truei
A.
montanus
).
Building
on
previous
physiological
data,
used
whole‐genome
resequencing
tadpoles
four
sites
spanning
gradients
each
test
for
adaptation.
To
support
these
analyses,
developed
first
annotated
reference
genome
.
We
then
expanded
geographic
scope
our
analysis
using
targeted
capture
an
additional
11
per
species.
found
evidence
based
genomic
,
suggesting
similar
levels
(i.e.,
susceptibility)
among
regardless
temperature.
invariant
tolerances
across
temperatures
suggest
occupying
warmer
streams
may
be
most
sensitive.
identified
high
evolutionary
potential
both
data.
While
further
integration
needed
comprehensively
evaluate
spatial
vulnerability,
this
work
illustrates
value
genomics
patterns
Hydrology and earth system sciences,
Journal Year:
2025,
Volume and Issue:
29(4), P. 1083 - 1101
Published: Feb. 27, 2025
Abstract.
Thermal
sensitivity,
defined
as
the
slope
of
a
linear
regression
between
stream
and
air
temperatures,
is
useful
indicator
strength
coupling
meteorological
forcings
temperature
or,
conversely,
presence
non-atmospheric
thermal
influences
such
groundwater
contributions
to
streamflow.
Furthermore,
sensitivity
known
be
responsive
environmental
change.
This
study
expands
current
state
knowledge
in
cold
northern
regions
across
catchment
scales,
investigates
controls
range
dispositions,
assesses
influence
conditions
unique
regions,
namely
permafrost.
We
conducted
analysis
relating
modelled
mean
daily
temperatures
57
catchments
Yukon,
Canada,
with
areas
ranging
from
5.4
86
500
km2
permafrost
probabilities
0.0
0.99.
sensitivities
obtained
regressions
ranged
0.14
0.84
°C
°C−1,
median
0.56
intercepts
−0.07
7.60
°C,
Nash–Sutcliffe
efficiency
0.81.
was
positively
related
area,
land
covers
representing
surface
water
storage,
streamflow
flashiness
or
lack
contributions.
The
greatest
single
characteristic
explaining
variance
topography
(9
%
explained);
however,
39
jointly
explained
by
physiography,
cover,
indicators,
suggesting
result
multiple
interacting
controls.
primary
on
appeared
indirect;
properties
affecting
residence
time,
subsurface
runoff
processes
provide
separate
counteracting
effects
that
are
influencing
sensitivity.
