Understanding
the
stability
characteristics
of
aquatic
ecosystems
under
different
steady
states
is
essential
for
effective
regulation
and
restoration
ecological
systems.
The
can
be
largely
affected
by
diversity
microbial
food
webs,
which
dominantly
contribute
to
biogeochemical
processes
substances.
However,
knowledge
three-dimensional
including
horizontal
(DH),
vertical
(DV)
range
(DR),
remains
limited.
In
this
study,
composition
abundance
combined
bacteria,
phytoplankton,
protozoan
metazoan,
were
investigated
in
both
a
reservoir
downstream
slow-flowing
rivers
via
microscopic
monitoring
DNA
metabarcoding
methods
separately,
then
calculated
based
on
webs.
results
showed
that
samples
from
respectively
displayed
two
three
distinct
clustering
states,
community
compositions,
was
consistent
their
dominant
influence
factor,
trophic
level
index.
Compared
reservoir,
averagely
higher
(DH=0.25,
DV=0.18,
DR=0.01),
but
relatively
lower
(robustness=0.97).
DV
DR
significantly
declined
with
increased
eutrophication
rivers,
DH
rivers.
structural
nitrogen
removal
ability
low-eutrophic
medium-eutrophic
river
state
than
those
high
eutrophic
respectively.
Mantel
test
indicated
positively
influenced
waters.
Structural
equation
modeling
function
webs
mainly
through
complex
structure
untangled
diversity,
clarified
web
various
provided
new
insights
into
ecosystems.
Environmental Science & Technology,
Год журнала:
2024,
Номер
58(15), С. 6605 - 6615
Опубликована: Апрель 3, 2024
Microbial
nitrogen
metabolism
is
a
complicated
and
key
process
in
mediating
environmental
pollution
greenhouse
gas
emissions
rivers.
However,
the
interactive
drivers
of
microbial
rivers
have
not
been
identified.
Here,
we
analyze
patterns
105
China
driven
by
26
socioeconomic
factors
using
an
interpretable
causal
machine
learning
(ICML)
framework.
ICML
better
recognizes
complex
relationships
between
than
traditional
linear
regression
models.
Furthermore,
tipping
points
concentration
windows
were
proposed
to
precisely
regulate
metabolism.
For
example,
concentrations
dissolved
organic
carbon
(DOC)
below
6.2
4.2
mg/L
easily
reduce
bacterial
denitrification
nitrification,
respectively.
The
for
NO3–-N
(15.9–18.0
mg/L)
DOC
(9.1–10.8
enabled
highest
abundance
denitrifying
bacteria
on
national
scale.
integration
models
field
data
clarifies
important
metabolism,
supporting
precise
regulation
river
ecological
management.
Frontiers in Plant Science,
Год журнала:
2025,
Номер
16
Опубликована: Фев. 24, 2025
The
nutrient
threshold
of
collapse
and
recovery
submerged
macrophytes
have
been
widely
reported
for
shallow
lakes.
However,
understanding
the
variation
lakes
with
water
depth
(Z)
gradients
remains
limited.
In
this
study,
based
on
a
field
investigation
9
varying
depths
levels
in
Yunnan
Plateau,
southwest
China,
we
integrated
to
predict
Our
results
showed
that:
1)
Canopy-forming
macrophytes,
i.e.
Potamogeton
pectinatus
Myriophyllum
spicatum,
had
higher
resistance
high
nutrients
turbidity;
2)
Submerged
macrophyte
species
richness
significantly
negative
response
depth,
while
biomass
did
not;
3)
A
multiplication
turbidity
(Turb)
provided
best
explanation
large
compared
single
variables;
4)
thresholds
ZSD/Z
were
0.06
0.53
macrophytes;
corresponding
81.6
9.92
NTU
m
Turb*Z,
respectively.
findings
are
expected
provide
quantitative
guidance
lake
restoration
diverse
depths.
