bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 28, 2022
Abstract
Continental-scale
increases
in
aquatic
system
eutrophication
are
linked
with
increased
cyanobacteria
threats
to
recreational
water
use
and
drinking
resources
globally.
Increasing
evidence
suggests
that
diurnal
vertical
migration
of
key
factors
must
be
considered
cyanobacterial
bloom
risk
management.
While
this
has
been
discussed
marine
eutrophic
freshwater
contexts,
reports
oligotrophic
lakes
scant.
Typical
monitoring
protocols
do
not
reflect
these
dynamics
frequently
focus
only
on
surface
sampling
approaches,
either
ignore
time
or
recommend
large
midday
timeframes
(e.g.,
10AM-3PM),
thereby
preventing
accurate
characterization
community
dynamics.
To
evaluate
the
impact
migrations
column
stratification
abundance
composition,
communities
were
characterized
a
shallow
well-mixed
lake
interconnected
thermally
stratified
Turkey
Lakes
Watershed
(Ontario,
Canada)
using
amplicon
sequencing
16S
rRNA
gene
across
multi-time
point
series
2018
2022.
This
work
showed
present
their
structure
varies
(i)
diurnally,
(ii)
depth
column,
(iii)
interannually
within
same
(iv)
between
different
closely
watershed.
It
underscored
need
for
integrating
multi-timepoint,
multi-depth
discrete
guidance
into
reservoir
programs
describe
signal
change
inform
management
associated
potential
cyanotoxin
production.
Ignoring
variability
(such
as
reported
herein)
reducing
sample
numbers
can
lead
false
sense
security
missed
opportunities
identify
mitigate
changes
trophic
status
risks
such
toxin
taste
odor
production,
especially
sensitive,
systems.
Graphical
Highlights
■
Cyanobacterial
populations
fluctuate
sporadically
cycles
vary
significantly
Significant
annual
shifts
higher
Cyanobacteria
should
incorporate
Remote Sensing,
Год журнала:
2024,
Номер
16(5), С. 889 - 889
Опубликована: Март 2, 2024
In
view
of
the
ecological
threat
posed
by
cyanobacteria
blooms
in
Taihu
Lake
(China),
this
paper
presents
a
study
on
area
extent
based
MODIS
data
using
quantum
particle
swarm
optimization–random
forest
(QPSO-RF)
machine
learning
algorithm.
This
selects
multiple
remote
sensing
input
indices
that
can
represent
characteristics
primary
underlying
type
Lake.
The
proposed
method
performs
best,
with
an
F1
score
0.91–0.98.
Based
method,
spatio-temporal
variation
complex
was
analyzed.
During
2010–2022,
average
increased
slightly.
Severe-scale
occurred
2015–2019.
Cyanobacteria
were
normally
concentrated
from
May
to
November.
However,
most
prolonged
extended
duration
2017,
lasting
for
eight
months.
Spatially,
mainly
identified
northwestern
part
Lake,
occurrence
frequency
about
10.0%.
often
began
grow
lake
and
then
spread
Center
also
dissipated
earliest
lake.
Our
is
beneficial
monitoring
growth
other
similar
large
lakes
long
time
series.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2023,
Номер
16, С. 7572 - 7584
Опубликована: Янв. 1, 2023
The
2019
coronavirus
disease
pandemic,
called
COVID-19,
poses
a
novel
research
point
for
water
body.
Based
upon
the
extracted
199
large
lakes
and
reservoirs
across
China,
this
study
developed
color
parameters,
namely
Forel-Ule
Index
(FUI)
retrieved
from
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
imagery
2018
2022
to
explore
spatiotemporal
variance
of
quality
first
time
in
context
COVID-19.
studied
results
demonstrated
marked
spatial
temporal
patterns.
Temporally,
68.8%
experienced
an
increase
tendency
recent
years
there
was
noticeable
upward
trend
during
post-epidemic
period.
Spatially,
various
changes
lake
regions
were
observed.
Water
east
responded
swiftly
showed
obvious
improvement
after
lockdown,
while
western
belatedly
epidemic
year
due
fewer
human
activity
smaller
number
confirmed
cases
had
clear
benefit
second
owing
long-term
sustaining
lower
intensity.
This
finding
emphasized
significant
influence
activities
than
natural
processes.
In
addition,
work
quantitatively
association
FUI
terms
new
cases,
temperature,
precipitation,
wind
speed
area,
consistent
with
extensive
researches.
provided
sufficient
information
observation,
revealed
short-term
under
situation.
Additional
attention
resource
management
sustainable
strategies
should
be
paid
inland
order
maintain
improvement.
Applied and Environmental Microbiology,
Год журнала:
2024,
Номер
90(11)
Опубликована: Ноя. 4, 2024
ABSTRACT
Cyanobacterial
blooms
pose
environmental
and
health
risks
due
to
their
production
of
toxic
secondary
metabolites.
While
current
methods
for
assessing
these
have
focused
primarily
on
bloom
frequency
intensity,
the
lack
comprehensive
comparable
data
cyanotoxins
makes
it
challenging
rigorously
evaluate
risks.
In
this
study,
we
examined
750
metagenomic
sets
collected
from
103
lakes
worldwide.
Our
analysis
unveiled
diverse
distributions
cyanobacterial
communities
genes
responsible
cyanotoxin
across
globe.
approach
involved
integration
biomass,
biosynthetic
potential
cyanotoxin,
effects
toxins
establish
findings
revealed
that
nearly
half
assessed
posed
medium
high
associated
with
cyanobacteria.
The
regions
greatest
concern
were
East
Asia
South
Asia,
particularly
in
developing
countries
experiencing
rapid
industrialization
urbanization.
Using
machine
learning
techniques,
mapped
model
results
a
positive
correlation
between
factors
such
as
temperature,
N
2
O
emissions,
human
influence
index.
These
underscore
variables
proliferation
By
introducing
novel
quantitative
method
monitoring
global
scale,
our
study
contributes
assessment
management
one
most
pressing
threats
both
aquatic
ecosystems
health.
IMPORTANCE
research
introduces
risk
assessment,
offering
insights
into
toxicity
perspective.
distinct
geographical
variations
coupled
intricate
interplay
complexity
managing
at
scale.
systematic
targeted
surveillance
enables
worldwide
cyanobacteria-based
risks,
providing
an
early
warning
system.
Lake
Taihu
has
a
history
of
recurrent
harmful
cyanobacterial
blooms.
There
is
need
to
better
understand
the
aquatic
ecosystem
in
order
improve
methods
for
controlling
Based
on
field
measurement
and
satellite
remote
sensing,
we
produced
collected
time-series
dataset,
including
water
quality,
bio-optics,
climate,
anthropogenic
data
(THQBCA),
which
could
provide
comprehensive
information
regarding
The
THQBCA
dataset
contains
26
variables
organized
into
four
categories:
data.
quality
climate
are
measured
with
sampling
frequency
from
daily
quarterly,
bio-optics
satellite-derived
annual
spans
more
than
15
years
(8
cover
approximately
35
years,
4
20
years),
spatial
resolutions
range
30
m
500
m.
This
expected
advance
research
evaluating
predicting
blooms,
support
science-based
management
decisions
sustainable
ecological
development.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 28, 2022
Abstract
Continental-scale
increases
in
aquatic
system
eutrophication
are
linked
with
increased
cyanobacteria
threats
to
recreational
water
use
and
drinking
resources
globally.
Increasing
evidence
suggests
that
diurnal
vertical
migration
of
key
factors
must
be
considered
cyanobacterial
bloom
risk
management.
While
this
has
been
discussed
marine
eutrophic
freshwater
contexts,
reports
oligotrophic
lakes
scant.
Typical
monitoring
protocols
do
not
reflect
these
dynamics
frequently
focus
only
on
surface
sampling
approaches,
either
ignore
time
or
recommend
large
midday
timeframes
(e.g.,
10AM-3PM),
thereby
preventing
accurate
characterization
community
dynamics.
To
evaluate
the
impact
migrations
column
stratification
abundance
composition,
communities
were
characterized
a
shallow
well-mixed
lake
interconnected
thermally
stratified
Turkey
Lakes
Watershed
(Ontario,
Canada)
using
amplicon
sequencing
16S
rRNA
gene
across
multi-time
point
series
2018
2022.
This
work
showed
present
their
structure
varies
(i)
diurnally,
(ii)
depth
column,
(iii)
interannually
within
same
(iv)
between
different
closely
watershed.
It
underscored
need
for
integrating
multi-timepoint,
multi-depth
discrete
guidance
into
reservoir
programs
describe
signal
change
inform
management
associated
potential
cyanotoxin
production.
Ignoring
variability
(such
as
reported
herein)
reducing
sample
numbers
can
lead
false
sense
security
missed
opportunities
identify
mitigate
changes
trophic
status
risks
such
toxin
taste
odor
production,
especially
sensitive,
systems.
Graphical
Highlights
■
Cyanobacterial
populations
fluctuate
sporadically
cycles
vary
significantly
Significant
annual
shifts
higher
Cyanobacteria
should
incorporate
