Hydrology and earth system sciences,
Год журнала:
2021,
Номер
25(9), С. 4681 - 4699
Опубликована: Авг. 31, 2021
Abstract.
Mountain
pine
beetle
(MPB)
outbreaks
in
the
western
United
States
result
widespread
tree
mortality,
transforming
forest
structure
within
watersheds.
While
there
is
evidence
that
these
changes
can
alter
timing
and
quantity
of
streamflow,
substantial
variation
both
magnitude
direction
hydrologic
responses,
climatic
environmental
mechanisms
driving
this
are
not
well
understood.
Herein,
we
coupled
an
eco-hydrologic
model
(RHESSys)
with
a
effects
applied
it
to
semiarid
watershed,
Trail
Creek,
Bigwood
River
basin
central
Idaho,
USA,
examine
how
varying
degrees
beetle-caused
mortality
influence
water
yield.
Simulation
results
show
yield
during
first
15
years
after
outbreak
controlled
by
interactions
between
interannual
climate
variability,
extent
vegetation
long-term
aridity.
During
wet
years,
increased
greater
mortality;
was
driven
mortality-caused
decreases
evapotranspiration.
dry
decreased
at
low-to-medium
but
high
mortality.
The
threshold
for
change
location
specific.
also
varied
spatially
along
aridity
gradients
years.
In
wetter
areas
Creek
basin,
post-outbreak
low
(driven
increase
ground
evaporation)
when
than
40
%
decrease
canopy
evaporation
transpiration).
contrast,
more
water-limited
areas,
typically
outbreaks,
regardless
level
(although
varied).
Our
findings
highlight
complexity
variability
responses
suggest
(i.e.,
multi-decadal
mean)
be
useful
indicator
disturbance.
Ecosystems,
Год журнала:
2021,
Номер
25(1), С. 30 - 43
Опубликована: Май 6, 2021
Abstract
Drought
will
increasingly
threaten
forest
ecosystems
worldwide.
Understanding
how
competition
influences
tree
growth
response
to
drought
is
essential
for
management
aiming
at
climate
change
adaptation.
However,
published
results
from
individual
case
studies
are
heterogeneous
and
sometimes
contradictory.
We
reviewed
166
cases
the
peer-reviewed
literature
assess
influence
of
stand-level
on
drought.
monitored
five
indicators
response:
mean
sensitivity
(inter-annual
ring
width
variability);
association
between
inter-annual
variability
water
availability;
resistance;
recovery;
resilience
Vote
counting
did
not
indicate
a
consistent
effect
sensitivity.
Conversely,
higher
resources
strengthened
availability
rates.
Meta-analysis
showed
that
reduced
resistance
(
p
<
0.001)
improved
recovery
0.05),
but
consistently
affect
resilience.
Species,
site
stand
characteristics,
intensity
were
insignificant
or
poor
predictors
large
among
investigated
cases.
Our
review
meta-analysis
show
does
in
unidirectional
universal
way.
Although
density
reduction
(thinning)
can
alleviate
declines
during
drought,
effects
after
stress
uncertain.
The
suggests
local-scale
processes
play
crucial
role
determining
such
responses
should
be
explicitly
evaluated
integrated
into
specific
strategies
adaptation
forests
change.
Earth-Science Reviews,
Год журнала:
2022,
Номер
230, С. 104055 - 104055
Опубликована: Май 12, 2022
As
CO2
concentration
in
the
atmosphere
rises,
there
is
a
need
for
improved
physical
understanding
of
its
impact
on
global
plant
transpiration.
This
knowledge
gap
poses
major
hurdle
robustly
projecting
changes
hydrologic
cycle.
For
this
reason,
here
we
review
different
processes
by
which
atmospheric
affects
transpiration,
several
uncertainties
related
to
complex
physiological
and
radiative
involved,
gaps
be
filled
order
improve
predictions
Although
high
degree
certainty
that
rising
will
exact
nature
remains
unclear
due
interactions
between
climate,
key
aspects
morphology
physiology.
The
interplay
these
factors
has
substantial
consequences
not
only
future
climate
vegetation,
but
also
water
availability
needed
sustaining
productivity
terrestrial
ecosystems.
Future
transpiration
response
enhanced
are
expected
driven
availability,
evaporative
demand,
processes,
emergent
disturbances
increasing
temperatures,
modification
physiology
coverage.
Considering
universal
sensitivity
natural
agricultural
systems
argue
reliable
projections
an
issue
highest
priority,
can
achieved
integrating
monitoring
modeling
efforts
representation
effects
next
generation
earth
system
models.
Geocarto International,
Год журнала:
2021,
Номер
37(15), С. 4361 - 4389
Опубликована: Янв. 21, 2021
Groundwater
scarcity
is
one
of
the
most
concerning
issues
in
arid
and
semi-arid
regions.
In
this
study,
we
develop
validate
a
novel
artificial
intelligence
that
coupling
five
ensemble
benchmark
algorithms
e.g.,
neural
network
(ANN),
reduced-error
pruning
trees
(REPTree),
radial
basis
function
(RBF),
M5P
random
forest
(RF)
with
particle
swarm
optimization
(PSO)
for
delineating
GWP
zones.
Further,
nine
parameters
used
modelling
to
test
train
proposed
PSO-based
models.
Additionally,
study
proposes
receiver
operating
characteristic
(ROC)
based
sensitivity
analysis
modelling.
Multicollinearity
test,
information
gain
ratio,
correlation
attribute
evaluation
methods
choose
important
model.
The
result
shows
drainage
density,
elevation,
land
use/land
cover
have
higher
influence
on
using
methods.
Results
showed
hybrid
PSO-RF
model
performed
better
than
other
Water Resources Research,
Год журнала:
2020,
Номер
56(8)
Опубликована: Авг. 1, 2020
Abstract
The
declining
mountain
snowpack
is
expected
to
melt
earlier
and
more
slowly
with
climate
warming.
Previous
work
indicates
that
lower
snowmelt
rates
are
associated
decreased
runoff.
However,
could
increase
runoff
via
vegetation
water
use
in
early
spring.
relative
importance
of
these
factors
regard
linked
site‐specific
conditions
such
as
plant
available
storage
(PAWS)
energy
availability.
To
disentangle
the
effects
rate
timing
on
production,
we
conducted
a
hydrologic
modeling
experiment
at
sites
Colorado
(NR1)
California
(P301)
controlled
for
multicollinearity.
We
tested
sensitivity
season
potential
(
R
),
changes
subsurface
(Δ
S
other
budget
components
sm
r
)
t
using
multiple
linear
regression
global
analysis
(GSA).
Regression
results
confirmed
was
governed
by
competing
influence
.
At
both
sites,
Δ
sensitive
than
while
P301
NR1,
reflecting
limitation
NR1.
GSA
analyses
mirrored
regressions
,
confirming
important
NR1
P301.
This
suggests
increases
from
may
counteract
losses
due
slower
this
process
mediated
PAWS
These
suggest
will
be
susceptible
future
greater
energy.
