Limnology and Oceanography,
Год журнала:
2022,
Номер
67(8), С. 1746 - 1759
Опубликована: Июнь 9, 2022
Abstract
Lakes
are
currently
facing
multiple
anthropogenic
stressors
impacting
their
ecological
communities.
The
best
way
to
understand
how
these
systems
will
be
affected
by
the
changing
environment
is
modeling
community
dynamics.
Models
of
lake
food
webs
have
tended
focus
on
pelagic
organisms
and
treat
lakes
as
if
they
contain
single,
uniform
However,
heterogeneity
in
environmental
conditions
resource
availability
generates
within‐lake
compartmentalization
web
structure.
Turnover
among
species
interactions
resulting
from
differences
depth
substrate
type
creates
unique
different
regions
lakes.
Food
within
can
therefore
represented
a
three‐dimensional
meta‐ecosystem,
where
compartments
connected
flows
nutrients,
materials,
consumers
with
variable
degrees
mobility
lake.
We
review
spatially
structured
processes
that
connect
parts
ecosystem.
then
discuss
current
approaches
address
spatial
communities,
highlighting
key
methods
some
constraints
preventing
more
explicit
representation
webs.
Finally,
we
recommend
use
allometric
trophic
networks
make
easier.
By
capitalizing
empirically
described
relationships
parameterize
trophically
complex
webs,
balance
generalizable
model
system‐specific
needs.
Given
nature
many
threats
freshwater
lakes,
building
an
understanding
space
structures
imperative
create
better
for
management
conservation.
Heliyon,
Год журнала:
2022,
Номер
8(10), С. e10601 - e10601
Опубликована: Сен. 21, 2022
Increasing
eutrophication
and
climate
change
have
led
to
heavy
cyanobacterial
blooms
in
water
diversion
sources
(e.g.,
lakes,
reservoirs),
which
can
potentially
cause
algae-bearing
spread
downstream
an
urban
river
network
via
channels.
Defining
the
extent
of
has
become
a
novel
concern
management.
In
this
paper,
we
investigated
physicochemical
algae
community
characteristics
small,
closed,
network,
JiangXinZhou
(JXZ),
Lake
Taihu
basin.
We
propose
indicator,
resource
use
efficiency
(RUE),
for
defining
JXZ,
whose
recreational
drinking
comes
entirely
from
outside
sources.
The
results
show
that
JXZ's
aquatic
habitat
conditions
(mean
temperature,
total
nitrogen
concentration,
phosphorus
ratio)
are
highly
suitable
proliferation
biomass
during
high-water
period.
RUE
was
used
calculation
shows
strong
relationship
with
density,
means
it
be
as
index
define
degree
blooms.
findings
indicate
risk
bloom
is
absent
when
less
than
46.81;
appear
bodies
reaches
up
106.68.
This
work
provides
theoretical
support
sustainable
regional
resources.
Abstract
Flow
management
has
the
potential
to
significantly
affect
ecosystem
condition.
Shallow
lakes
in
arid
regions
are
especially
susceptible
flow
changes,
which
can
have
important
implications
for
formation
of
cyanobacterial
blooms.
Here,
we
reveal
water
quality
shifts
associated
with
changing
source
inflow
management.
Using
situ
monitoring
data,
studied
a
seven‐year
time
span
during
inflows
shallow,
eutrophic
drinking
reservoir
transitioned
from
primarily
natural
landscape
runoff
(2014–2015)
managed
flows
larger
upstream
(Lake
Diefenbaker;
2016–2020)
and
identified
significant
changes
cyanobacteria
(as
phycocyanin)
using
generalized
additive
models
classify
bloom
formation.
We
then
connected
chemistry
occurrence
blooms
principal
components
analysis.
Phycocyanin
was
greater
years
mesotrophic
(2016–2020),
but
dissolved
organic
matter
(DOM)
specific
conductivity,
determinants
quality,
were
greatest
when
dominated
lake
(2014–2015).
Most
notably,
despite
rapidly,
it
took
multiple
return
consistent
reduced
level
DOM
after
resumed,
an
observation
that
underscores
how
resilience
may
be
hindered
by
weak
resistance
change
slow
recovery.
Environmental
rarely
defined,
yet
show
trade‐offs
exist
between
poor
via
elevated
conductivity
higher
risk,
depending
on
source.
Our
work
highlights
importance
not
just
quantity,
security,
our
findings
managers
who
must
protect
services
while
adapting
projected
hydroclimatic
change.
Journal of Lake Sciences,
Год журнала:
2021,
Номер
33(6), С. 1951 - 1960
Опубликована: Янв. 1, 2021
受蓝藻自身垂直迁移和频繁风浪扰动影响,太湖蓝藻水华漂浮混合和迁移堆积等变化迅速,在传统的湖面定位和断面监测中总感觉蓝藻水华有些来无影、去无踪,限制了对其形成过程、驱动机制和防控治理的深入认识.卫星遥感可以实现蓝藻水华空间分布同步观测,但由于观测频次的限制很难捕捉蓝藻水华快速动态变化过程.本文利用与杭州海康威视数字技术股份有限公司联合自主研发的陆基(地基、岸基或者平台、船舶、桩基等能固定安装的均可)高光谱多参数水质遥感监测仪,架设于中国科学院太湖湖泊生态系统研究站(简称太湖站)水上观测场,通过对叶绿素a浓度及其他关键水质参数秒-分钟级的连续观测,有效捕捉了一天内蓝藻水华短期突然和快速变化过程.研究结果显示,在微风和小风条件下蓝藻容易在表层水体漂浮,盛行西北风驱动湖面开敞水域蓝藻水华快速漂浮集聚到太湖站岸边,短短半小时内表层水体叶绿素a浓度可以由10
μg/L快速攀升到100
μg/L以上,一天内会出现多个叶绿素a峰值,清晰展示了蓝藻快速日内动态变化过程.受蓝藻快速日内变化影响,透明度、总氮、总磷和高锰酸盐指数等水质参数也呈现出快速日内变化,叶绿素a浓度与透明度存在极显著负相关,与总氮、总磷和高锰酸盐指数存在极显著正相关,叶绿素a能解释总氮、总磷80%以上的变化,说明蓝藻短期内的漂浮和集聚深刻影响到湖泊水质.;Due
to
the
vertical
migration
of
cyanobacteria
and
frequent
wind
waves
disturbance,
floating,
mixing,
accumulation
bloom
in
Lake
Taihu
occur
rapidly.
It
is
very
difficult
accurately
capture
occurrence
appearance
using
traditional
lake
positioning
cross-section
monitoring
due
low
temporal
spatial
observation
frequency
resolution,
which
limits
in-depth
understanding
formation
process,
driving
mechanism,
prevention
control.
Satellite
remote
sensing
can
realize
synchronous
distribution
bloom,
but
it
rapid
dynamics
limitation
frequency.
Using
independently
developed
land-based
(ground-based,
shore-based,
or
fixed
on
platform,
ship
pile
foundation)
hyperspectral
water
quality
instrument
by
Hangzhou
Hikvision
Digital
Technology
Co.,
Ltd
Nanjing
Zhongke
Deep
Insight
Research
Institute
installed
Laboratory
for
Ecosystem
(TLLER)
Chinese
Academy
Sciences,
short-term
sudden
a
day
was
effectively
captured
through
continuous
chlorophyll-a
concentration
other
key
parameters
at
second-minute
level.
The
results
show
that
are
easy
float
surface
under
conditions
breeze
light
wind,
prevailing
northwest
drives
open
area
accumulate
shore
TLLER
quickly.
Chlorophyll-a
rapidly
rise
from
10
μg/L
more
than
100
just
half
an
hour.
Several
peaks
recorded
8:30
18:30.
All
these
clearly
have
hourly
dynamic
change
process.
Affected
variations
cyanobacteria,
such
as
secchi
disc
depth,
total
nitrogen,
phosphorus
chemical
oxygen
demand
also
variations.
Significantly
negative
relationship
between
depth
significantly
positive
relationships
phosphorus,
found,
indicate
floating
gathering
profound
impact
lakes.
Frontiers in Environmental Science,
Год журнала:
2022,
Номер
10
Опубликована: Ноя. 16, 2022
Monitoring
of
aquatic
habitats
for
water
quality
and
biodiversity
requires
regular
sampling,
often
in
off-shore
locations
underwater.
Such
sampling
is
commonly
performed
manually
from
research
vessels,
or
if
autonomous,
constrained
to
permanent
installations.
Consequentially,
high
frequency
ecological
monitoring,
such
as
harmful
algal
blooms,
are
limited
few
sites
and/or
temporally
infrequent.
Here,
we
demonstrate
the
use
MEDUSA,
an
Unmanned
Aerial-Aquatic
Vehicle
which
capable
performing
underwater
inspection
at
up
10
m
depth,
composed
a
multirotor
platform,
tether
management
unit
tethered
micro
Underwater
Vehicle.
The
system
validated
task
vertical
profiling
Chlorophyll-a
levels
freshwater
systems
by
means
custom
solid
sample
filtering
mechanism.
This
mechanism
can
collect
two
independent
samples
per
mission
pumping
through
pair
glass-fibre
GF/F
filters.
Chlorophyll
measured
deposits
on
filters
consistent
par
with
traditional
methods,
highlighting
potential
using
UAAVs
spatial
resolution.
Limnology and Oceanography,
Год журнала:
2022,
Номер
67(8), С. 1746 - 1759
Опубликована: Июнь 9, 2022
Abstract
Lakes
are
currently
facing
multiple
anthropogenic
stressors
impacting
their
ecological
communities.
The
best
way
to
understand
how
these
systems
will
be
affected
by
the
changing
environment
is
modeling
community
dynamics.
Models
of
lake
food
webs
have
tended
focus
on
pelagic
organisms
and
treat
lakes
as
if
they
contain
single,
uniform
However,
heterogeneity
in
environmental
conditions
resource
availability
generates
within‐lake
compartmentalization
web
structure.
Turnover
among
species
interactions
resulting
from
differences
depth
substrate
type
creates
unique
different
regions
lakes.
Food
within
can
therefore
represented
a
three‐dimensional
meta‐ecosystem,
where
compartments
connected
flows
nutrients,
materials,
consumers
with
variable
degrees
mobility
lake.
We
review
spatially
structured
processes
that
connect
parts
ecosystem.
then
discuss
current
approaches
address
spatial
communities,
highlighting
key
methods
some
constraints
preventing
more
explicit
representation
webs.
Finally,
we
recommend
use
allometric
trophic
networks
make
easier.
By
capitalizing
empirically
described
relationships
parameterize
trophically
complex
webs,
balance
generalizable
model
system‐specific
needs.
Given
nature
many
threats
freshwater
lakes,
building
an
understanding
space
structures
imperative
create
better
for
management
conservation.