Phytoplankton
bloom
has
become
a
growing
global
concern
in
recent
years
due
to
the
excessive
growth
of
algae,
causing
significant
negative
impacts
on
aquatic
ecosystem
and
threatening
human
health.
Growing
evidence
suggests
that
algal
blooms
are
consequence
interplay
various
hydrodynamical,
chemical,
biological
processes
systems.
The
complexity
nonlinearity
ecosystems,
climatic
hydrographic
events,
make
interpreting
predicting
very
challenging
task.
In
years,
many
different
strategies
have
been
adopted
manage
blooms.
Among
them,
mathematical
models
advantageous
because
they
can
capture
ubiquitous
stoichiometric
constraints
for
modeling
species
interaction.
Thus,
widely
used
investigate
dynamics
phytoplankton
growth.
this
study,
five
were
developed
based
population
dynamics,
ecological
dynamic
modeling,
probability
theory.
investigated
theoretically
numerically
terms
theory
partial
differential
equations,
stochastic
impulsive
numerical
simulation.
objective
dissertation
research
was
gain
insight
into
plankton
explore
potential
management
main
results
presented
as
follows:
Firstly,
nutrient-plankton
model
incorporating
delay
diffusion
developed.
theoretical
analysis
revealed
trigger
oscillation
via
Hopf
bifurcation.
Especially,
stability
switches
positive
equilibrium
occur
with
increasing
delay,
which
indicates
generate
suppress
unstable
coexistence
population.
Numerical
reveal
indeed
exist
model,
homogeneous
multiple
periodic
solutions,
well
chaos,
values
implies
exhibits
delay-induced
complex
dynamics.
Secondly,
Leslie-Gower
phytoplankton-zooplankton
prey
refuge
dynamical
sufficient
conditions
persistence
extinction
populations.
simulations
showed
environmental
noise
play
crucial
role
survival
species.
further
demonstrate
enhance
range
population,
but
variance
zooplankton
tends
increase
then
decrease
increased.
Thirdly,
considering
seasonal
disturbances
ecosystem,
nutrient-phytoplankton
fluctuation
indicate
solutions
under
certain
conditions,
suggesting
populations
associated
oscillations.
Furthermore,
promote
Specifically,
is
more
sensitive
nutrient
than
fluctuation.
Fourthly,
regime-switching
by
mortality.
admits
stationary
distribution
conditions.
Then
variations
input.
also
mortality
contributes
system.
Finally,
control
established
existence
solutions.
addition,
impulse
plays
an
important
preventing
controlling
blooms,
appropriate
However,
excess
intensity
result
collapse
entire
ecosystem.
Water Research,
Journal Year:
2021,
Volume and Issue:
197, P. 117069 - 117069
Published: March 20, 2021
Cyanobacterial
blooms
are
increasingly
reported
worldwide,
presenting
a
challenge
to
water
treatment
plants
and
concerning
risks
human
health
aquatic
ecosystems.
Advanced
oxidative
processes
comprise
efficient
safe
methods
for
treatment.
Hydrogen
peroxide
(H2O2)
has
been
proposed
as
sustainable
solution
mitigate
bloom-forming
cyanobacteria
since
this
group
presents
higher
sensitivity
compared
other
phytoplankton,
with
no
major
the
environment
at
low
concentrations.
Here,
we
evaluated
effects
of
single
H2O2
addition
(10
mg
L−1)
over
120
h
in
mesocosms
introduced
reservoir
located
semi-arid
region
Planktothrix-dominated
cyanobacterial
bloom.
We
followed
changes
physical
chemical
parameters
bacterioplankton
composition.
efficiently
suppressed
cyanobacteria,
green
algae,
diatoms
72
h,
leading
an
increase
transparency
dissolved
organic
carbon,
decrease
oxygen
pH,
while
nutrient
concentrations
were
not
affected.
After
abundance
remained
algae
became
dominant.
16S
rRNA
sequencing
revealed
that
original
bloom
was
composed
by
Planktothrix,
Cyanobium
Microcystis.
Only
increased
relative
suggesting
regrowth.
A
prominent
change
composition
heterotrophic
bacteria
observed
Exiguobacterium,
Paracoccus
Deinococcus
becoming
most
abundant
genera
after
Our
results
indicate
approach
is
suppressing
improving
quality
tropical
environments.
Monitoring
abiotic
specific
bacterial
taxa
could
be
used
anticipate
regrowth
degradation
where
should
applied
so
still
felt
plant
intake.
Hydrobiology,
Journal Year:
2024,
Volume and Issue:
3(1), P. 11 - 30
Published: Jan. 2, 2024
Under
the
Climate
Change
scenario,
occurrence
of
Harmful
Cyanobacterial
Blooms
(HCBs)
is
an
increasingly
concerning
problem.
Particularly
for
inland
freshwaters,
that
have
human
populations
depending
on
them
consumption
or
recreation,
HCBs
can
lead
to
serious
ecological
damages
and
socio-economic
impacts,
but
also
health
risks
local
communities.
From
satellite
imagery
molecular
data,
there
increasing
number
methodological
approaches
help
improve
monitoring
prediction
cyanobacterial
blooms.
However,
although
each
methodology
has
its
own
strengths
limitations,
generally
a
lack
data
addressing
specific
intraspecific
information,
which
implications
modelling
real
dynamics
toxicity
HCBs.
The
present
review
intends
make
quick
overview
current
monitor
blooms
provide
tier-based
integrative
perspective
their
application.
A
transversal
at
wide
scale
should
be
enhanced
cannot
rely
only
pigment
levels
rather
include
diversity
information
obtained
from
modern
tools.
This
crucial
achieve
effective
prediction,
management
under
severity
trends
in
freshwaters.
Water Environment Research,
Journal Year:
2025,
Volume and Issue:
97(2)
Published: Feb. 1, 2025
Abstract
Macrophyte
extracts
inhibit
cyanobacteria
growth,
offering
a
sustainable
solution
for
bloom
control.
The
present
study
aimed
to
evaluate
the
response
of
Microcystis
aeruginosa
aqueous
obtained
from
dried
biomass
Pistia
stratiotes
L.
and
Pontederia
crassipes
Mart.
Solms.
parameters
analyzed
were
cyanobacterial
photosynthesis,
generation
reactive
oxygen
species,
antioxidative
response.
chemical
profile
upon
incubation
was
also
analyzed.
Both
(4.0
g.L
−1
)
inhibited
growth
in
6
days:
100%
inhibition
P.
60%
.
Photosynthetic
activity
inhibited:
99%
12%
This
related
downregulation
psbA
gene
(coding
photosystem
II
protein
D1).
Exposure
both
increased
concentration
intracellular
species
cultures.
Superoxide
dismutase(
SOD)
enzymatic
cultures
exposed
extracts.
transcription
sod
not
altered
but
peroxiredoxin
(
prxA
increased.
Upon
macrophyte
with
M.
cultures,
phenol
concentrations
decreased,
their
metabolic
changed.
Thus,
extract
outperformed
inhibiting
growth.
plant
dry
allelopathic
on
can
be
used
as
alternative
mitigate
blooms.
Practitioner
Points
Aqueous
suppressed
activity,
while
did
not.
elicited
(ROS)
production
cells.
Peroxiredoxin
expression
upregulated
by
exposure.
superoxide
dismutase
(SOD)
