Pivotal role of snow depth, local atmospheric conditions, and large-scale climate signals on ice thinning in Finnish lakes
The Science of The Total Environment,
Journal Year:
2025,
Volume and Issue:
966, P. 178715 - 178715
Published: Feb. 1, 2025
Language: Английский
Contrasting Changes in Lake Ice Thickness and Quality Due to Global Warming in the Arctic, Temperate, and Arid Zones and Highlands of Eurasia
Water,
Journal Year:
2025,
Volume and Issue:
17(3), P. 365 - 365
Published: Jan. 27, 2025
Lake
ice
has
a
major
impact
on
the
functioning
of
lake
ecosystems,
thermal
and
gas
regimes
lakes,
habitat
conditions,
socio-economic
aspects
human
life,
local
climate,
etc.
The
multifaceted
influence
makes
it
important
to
study
its
changes
associated
with
global
warming,
including
phenology,
thickness,
snow–ice
fraction.
This
article
presents
in
different
regions
Eurasia:
Arctic
(Lake
Imandra
Murmansk
region
Kilpisjärvi
Finland),
temperate
zone
(six
small
medium
lakes
Karelia,
Mozhaysk
Reservoir
Moscow
region,
Pääjärvi
arid
Ulansuhai
China),
highlands
(lakes
Arpi
Sevan
Armenia).
In
regions,
statistically
significant
increase
winter
air
temperature
been
recorded
over
past
few
decades.
number
days
thaw
(air
above
0
°C)
increased,
while
severe
frost
below
−10
°C
−20
decreased.
share
liquid
or
mixed
precipitation
increases
most
rapidly
zone.
For
two
Finnish
Vendyurskoe
Vedlozero
Reservoir,
decrease
duration
period
was
revealed,
later
ice-on
earlier
ice-off.
dramatic
change
occurred
large
high-mountain
Sevan,
where
water
area
no
longer
completely
covered
every
winter.
contrast,
showed
phenology
50-year
period.
Changes
composition
an
proportion
white
black
have
some
lakes.
Vendyurskoe,
inverse
dependences
thickness
December–March
for
first
amount
month
second
were
observed.
China,
due
very
little
(usually
less
than
10
mm)
only
occurs,
interannual
variability
identified.
Language: Английский
Abrupt physico-chemical changes in the limnology of Pyrenean mountain lakes necessitate urgent management actions
Regional Environmental Change,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 28, 2025
Abstract
Mountain
lakes
are
rare
ecological
niches
supporting
unique
species
assemblages
and
important
sources
of
safe
drinking
water
for
wildlife,
livestock
humans.
Located
at
high
altitude,
these
vulnerable
to
environmental
stressors
such
as
climate
or
land-use
change,
impacting
their
ecosystem
functions.
However,
although
trends
in
temperature
physico-chemical
composition
have
been
fairly
well
studied
large
mountain
lakes,
the
same
cannot
be
said
small-
medium-sized
shallow
lakes.
Here,
using
measurements
chemistry
25
Pyrenean
records
14
them,
we
show
that
conditions
which
prevail
littoral
zones
undergone
rapid
changes
between
2007
2023.
Over
this
16-year
period,
found
that,
on
average,
duration
ice-cover
period
decreased
by
58.35
days,
average
annual
rose
1.65
°C.
We
also
a
significant
overall
decrease
pH,
total
organic
carbon
nitrogen,
increase
hardness
dissolved
potassium.
Our
results
demonstrate
abiotic
alterations
with
potential
negative
implications
humans,
functioning.
Likely
consequences
include
declines
aquatic
biodiversity,
degradation
quality
increased
health
risks
from
harmful
algal
blooms.
Policy
must
urgently
acknowledge
impacts
global
change
mountains
order
take
necessary
management
actions.
Language: Английский
Assessment of the Impact of Meteorological Variables on Lake Water Temperature Using the SHapley Additive exPlanations Method
Water,
Journal Year:
2024,
Volume and Issue:
16(22), P. 3296 - 3296
Published: Nov. 17, 2024
The
water
temperature
of
lakes
is
one
their
fundamental
characteristics,
upon
which
numerous
processes
in
lake
ecosystems
depend.
Therefore,
it
crucial
to
have
detailed
knowledge
about
its
changes
and
the
factors
driving
those
changes.
In
this
article,
a
neural
network
model
was
developed
examine
impact
meteorological
variables
on
by
integrating
daily
data
with
interday
variations.
Neural
networks
were
selected
for
ability
complex,
non-linear
relationships
between
variables,
often
found
environmental
data.
Among
various
architectures,
Artificial
Network
(ANN)
chosen
due
superior
performance,
achieving
an
R2
0.999,
MSE
0.0352,
MAE
0.1511
validation
tests.
These
results
significantly
outperformed
other
models
such
as
Multi-Layer
Perceptrons
(MLPs),
Recurrent
Networks
(RNNs),
Long
Short-Term
Memory
(LSTM).
Two
(Lake
Mikołajskie
Sławskie)
differing
morphometric
parameters
located
different
physico-geographical
regions
Poland
analyzed.
Performance
metrics
both
show
that
capable
providing
accurate
forecasts,
effectively
capturing
primary
patterns
data,
generalizing
well
new
datasets.
Key
cases
turned
out
be
air
temperature,
while
response
wind
cloud
cover
exhibited
diverse
result
features
locations
measurement
sites.
Language: Английский