Frontiers in Microbiology,
Journal Year:
2025,
Volume and Issue:
15
Published: Feb. 21, 2025
Permafrost
thaw
increases
the
bioavailability
of
ancient
organic
matter,
facilitating
microbial
metabolism
volatile
compounds
(VOCs),
carbon
dioxide,
and
methane
(CH4).
The
formation
thermokarst
(thaw)
lakes
in
icy,
organic-rich
Yedoma
permafrost
leads
to
high
CH4
emissions,
subsurface
microbes
that
have
potential
be
biogeochemical
drivers
turnover
these
systems.
However,
better
characterize
quantify
rates
changes,
methods
further
clarify
relationship
between
processes
dynamics
are
needed.
In
this
study,
we
investigated
four
sites
(two
well-drained
mounds,
a
drained
lake,
terrestrial
margin
recently
formed
lake)
determine
whether
biogenic
VOCs
(1)
can
effectively
collected
during
winter,
(2)
winter
sampling
provides
more
biologically
significant
correlated
with
metabolic
potential.
During
cold
season
(March
2023),
drilled
boreholes
at
cores
simultaneously
populations
captured
VOCs.
VOC
analysis
revealed
"fingerprints"
were
distinct
unique
each
site.
Total
from
included
>
400
features,
including
40
potentially
related
metabolism.
Subsurface
community
composition
was
across
sites;
for
example,
methanogenic
archaea
far
abundant
site
characterized
by
annual
emissions.
results
obtained
method
strongly
suggest
∼10%
biogenic,
mapped
metabolisms.
By
revealing
dynamics,
work
advances
our
ability
monitor
predict
Arctic
soils.
Photochemical & Photobiological Sciences,
Journal Year:
2021,
Volume and Issue:
20(1), P. 1 - 67
Published: Jan. 1, 2021
Abstract
This
assessment
by
the
Environmental
Effects
Assessment
Panel
(EEAP)
of
United
Nations
Environment
Programme
(UNEP)
provides
latest
scientific
update
since
our
most
recent
comprehensive
(Photochemical
and
Photobiological
Sciences,
2019,
18,
595–828).
The
interactive
effects
between
stratospheric
ozone
layer,
solar
ultraviolet
(UV)
radiation,
climate
change
are
presented
within
framework
Montreal
Protocol
Sustainable
Development
Goals.
We
address
how
these
global
environmental
changes
affect
atmosphere
air
quality;
human
health;
terrestrial
aquatic
ecosystems;
biogeochemical
cycles;
materials
used
in
outdoor
construction,
energy
technologies,
fabrics.
In
many
cases,
there
is
a
growing
influence
from
seasonality
extreme
events
due
to
change.
Additionally,
we
assess
transmission
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2),
which
responsible
for
COVID-19
pandemic,
context
linkages
with
UV
radiation
Protocol.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
29(10), P. 2732 - 2745
Published: March 1, 2023
Thermokarst
lakes
are
potentially
important
sources
of
methane
(CH4
)
and
carbon
dioxide
(CO2
).
However,
considerable
uncertainty
exists
regarding
emissions
from
thermokarst
owing
to
a
limited
understanding
their
patterns
motivators.
In
this
study,
we
measured
CH4
CO2
diffusive
fluxes
in
163
the
Qinghai-Tibet
Plateau
(QTP)
over
3
years
May
October.
The
median
QTP
were
1440
mg
m-2
day-1
60
,
respectively.
rates
related
catchment
land
cover
type.
Sediment
microbial
abundance
hydrochemistry
explain
51.9%
38.3%
total
variance
emissions,
respectively,
while
show
no
significant
relationship
with
environmental
factors.
When
upscaling
lakes,
annual
average
release
per
lake
area
is
equal
that
pan-Arctic
region.
Our
findings
highlight
importance
incorporating
situ
observation
data
different
emission
pathways
for
types
predicting
future.
Remote Sensing,
Journal Year:
2021,
Volume and Issue:
13(2), P. 178 - 178
Published: Jan. 6, 2021
Thermokarst
lakes
are
widespread
in
Arctic
lowlands.
Under
a
warming
climate,
landscapes
with
highly
ice-rich
Yedoma
Ice
Complex
(IC)
deposits
particularly
vulnerable,
and
thermokarst
lake
area
dynamics
serve
as
an
indicator
for
their
response
to
climate
change.
We
conducted
change
trend
analysis
44,500
km2
region
of
the
Kolyma
Lowland
using
Landsat
imagery
conjunction
TanDEM-X
digital
elevation
model
Quaternary
Geology
map
data.
delineated
yedoma–alas
relief
types
different
yedoma
fractions,
serving
base
geospatial
dynamics.
quantified
changes
over
1999–2018
period
machine-learning-based
classification
robust
trends
multi-spectral
indices
data
object-based
long-term
detection.
analyzed
separately
1999–2013
periods,
including
most
recent
five
years
that
were
characterized
by
very
high
precipitation.
Comparison
drained
basin
extents
reveal
overall
limnicity
decrease
80%
during
Holocene.
Current
wetting
led
increase
0.89%
4.15%
period.
geomorphological
factors
impacting
modern
both
periods
such
size,
elevation,
type.
detected
expansion
fraction
areas
indicating
ongoing
IC
degradation
thermokarst.
Our
concept
differentiating
helps
characterize
landscape-scale
could
potentially
be
applied
refined
assessments
greenhouse
gas
emissions
regions.
Comprehensive
inventories
regions
provide
better
understanding
extent
processes
Holocene
pre-conditioning
Earth and Space Science,
Journal Year:
2021,
Volume and Issue:
8(11)
Published: Oct. 26, 2021
Abstract
Thermokarst
lakes
and
ponds
(hereafter
referred
to
as
thaw
lakes)
play
an
important
role
in
the
permafrost
regions
by
regulating
hydrology,
ecology,
biogeochemistry.
However,
detailed
quantitative
information
on
lake
extent
distribution
remains
poorly
resolved
across
entire
Qinghai‐Tibet
Plateau
(QTP).
Here,
we
applied
random
forest
(RF)
model
manual
visual
vectorization
methods
extract
boundaries
QTP
based
Sentinel‐2
images.
Accuracy
assessment
was
comprehensively
demonstrated
regarding
inherent
spatial
resolution
of
imagery
RF
performance.
The
results
showed
that
accumulated
uncertainty
total
area
±5.75
km
2
,
mean
accuracy
(91.9%)
from
field‐measured
132
supported
this
inventory.
A
∼161,300
with
sizes
ranging
500
m
3
were
detected,
a
∼2,825.45
±
5.75
.
Most
detected
continuous
type
(94.1%)
within
elevations
4,500–5,000
(68.4%).
small
(<10,000
)
predominated
number
(78.9%)
but
contributed
portion
(12.7%).
Spatial
distributions
terms
different
climatic
environmental
conditions
also
explored,
including
temperature,
precipitation,
ground
thermal
stability,
active
layer
thickness,
vegetation,
soil
properties,
underground
ice
content.
This
inventory
is
expected
be
incorporated
into
Earth
system
models
for
more
comprehensive
projection
large‐scale
biogeochemical
feedback
thermokarst
landforms
under
continued
global
warming.
Remote Sensing of Environment,
Journal Year:
2024,
Volume and Issue:
304, P. 114047 - 114047
Published: Feb. 13, 2024
Small
water
bodies
(<
0.01
km2)
showing
diverse
limnological
properties
occur
in
great
abundance
across
the
boreal
forest
and
tundra
landscapes
of
Arctic
Subarctic.
However,
their
classification,
geographical
distribution
collective
importance
for
water,
heat,
nutrient,
contaminant
carbon
cycles
are
still
poorly
constrained.
One
important
step
better
understanding
role
evolution
small
fast-changing
northern
is
to
develop
image
analysis
protocols
that
allow
automatic
remote
sensing
detection,
delineation
inventory.
In
this
study,
we
set
an
protocol
(High
Latitude
Water
–
HLWATER
V1.0)
based
on
a
trained
supervised
Mask
R-CNN
deep
learning
model
over
PlanetScope
imagery
detection
lakes
ponds
were
absent
existing
datasets.
Most
our
training
dataset
comprised
smaller
than
km2
(97%)
spanned
wide
range
environmental
hydrological
settings,
from
sporadic
continuous
permafrost
zones
Canada.
The
was
tested
as
fully
autonomous
approach
eastern
Hudson
Bay,
Nunavik
(Subarctic
Canada),
region
poses
challenges
given
variety
bodies.
These
mainly
thaw
glacial
basin
forest-tundra
challenging
optical
settings
influenced
by
vegetation
or
topography
shadowing,
revealing
peat
logging,
fen
bog
pond
conditions.
A
multi-scale
validation
developed
using
body
delineations
ultra-high
resolution
orthomosaics
Unoccupied
Aerial
Systems.
This
procedure
allowed
sub-pixel
assessment
identified
limitations
strengths
detecting
large
results
varied
according
different
landscape
units,
with
mean
Intersection
Union
(IoU)
0.5
F1
Scores
0.53
0.71
0.62
0.95.
Considering
166
m2
minimum
size
threshold,
IoU
0.7
0.91
0.76
0.83,
evaluated
comparing
manual
delineations.
show
high
potential
extension
other
regions
Subarctic,
allowing
detailed
inventories
optically
morphologically
areas
circumpolar
North.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(7), P. 1174 - 1174
Published: March 26, 2025
Thermokarst
lakes
are
widely
distributed
on
the
Qinghai-Tibet
Plateau
(QTP).
However,
owing
to
lack
of
high-precision
remote
sensing
imagery
and
difficulty
in
situ
monitoring
permafrost
regions,
quantifying
changes
distribution
thermokarst
is
challenging.
In
this
study,
we
used
four
machine
learning
methods—random
forest
(RF),
gradient
boosting
decision
tree
(GBDT),
classification
regression
(CART),
support
vector
(SVM)—and
combined
various
environmental
factors
assess
from
2015
2020
via
Google
Earth
Engine
(GEE).
The
results
indicated
that
RF
model
performed
optimally
extraction
lakes,
followed
by
GBDT,
CART,
SVM.
From
2020,
number
increased
52%,
area
expanded
1.6
times.
A
large
proportion
STK
(with
areas
less
than
or
equal
1000
m2)
gradually
developed
into
MTK
between
10,000
central
part
QTP.
Additionally,
located
primarily
at
elevations
4000
5000
m,
with
slopes
ranging
0
5°,
sand
content
approximately
65%.
normalized
difference
water
index
(NDWI)
enhanced
vegetation
(EVI)
were
most
favourable
for
lake
extraction.
provide
a
scientific
reference
assessment
prediction
dynamic
QTP
future,
which
will
have
important
significance
studies
carbon
processes
alpine
ecosystems.