Frontiers in Ecology and Evolution,
Journal Year:
2022,
Volume and Issue:
10
Published: Aug. 10, 2022
Macrobenthos
taxonomic
and
functional
diversity
are
key
indicators
of
ecosystem
health.
River–lake
ecotones
macrobenthos
habitats.
However,
we
don’t
fully
understand
biodiversity
patterns
in
these
ecotones.
We
studied
water
environment,
sediment
heavy
metal
contents,
community,
which
sampled
simultaneously
from
29
sampling
sites
along
the
Fu
River–Baiyangdian
Lake
gradient
Northern
China
with
five
field
surveys
2018
to
2019.
Six
trait
classes
resolved
into
25
categories
were
allocated
through
a
binary
coding
system.
used
RLQ
framework
(R,
environmental
variables;
L,
species
taxa;
Q,
traits)
fourth-corner
analyses
evaluate
relationship
between
variables
traits.
Finally,
carried
out
variance
partitioning
assess
contributions
variation
diversities.
As
results,
TN
TP
contents
river
lake
mouths
lower
than
those
adjacent
lake,
indicating
that
river–lake
played
role
purifying
buffering
pollution.
High
mouth
presence
unique
taxa
two
revealed
edge
effects,
but
abundance
biomass
extremely
low
compared
lake.
found
no
significant
correlation
indices
mouths.
Water
depth,
transparency,
,
main
drivers
diversity,
explaining
up
45.5%
56.2%
variation,
respectively.
Sediment
Cd,
Cr,
Cu,
Pb,
Zn
explained
15.1%
32.8%,
respectively,
diversity.
Our
results
suggest
approaches
based
on
biological
traits
can
complement
Furthermore,
improving
eutrophication,
pollution
will
improve
maintain
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
158, P. 111561 - 111561
Published: Jan. 1, 2024
A
more
profound
comprehension
of
various
facets
biodiversity
is
essential
for
advancing
sustainable
governance
and
its
associated
ecosystem
services.
In
this
study,
we
delved
into
the
composition
beta
diversity
within
macroinvertebrates
communities
in
Thousand
Islands
Lake
catchment
area.
Subsequently,
investigated
factors
influencing
diverse
alpha
diversity,
ultimately
employed
structural
equation
modeling
to
analyze
pathways
through
which
both
regional
environmental
factors,
like
climate
land
use,
local
variables
collectively
impact
distinct
ecosystem.
Our
results
showed
that
(i)
taxonomic
phylogenetic
diversities
were
primarily
determined
by
turnover,
while
functional
predominantly
nestedness;
(ii)
are
influenced
spatial
variables,
with
environment
ranking
second,
use
explaining
lowest
proportion
according
variance
partitioning;
(iii)
mainly
affected
especially
climatic
(precipitation)
hydrological
(depth)
revealed
modeling.
These
offer
compelling
evidence
composition,
ecological
drivers,
specific
influence
vary
across
different
scales.
Future
studies
could
focus
on
as
well
consider
effects
at
scales,
would
provide
new
insights
potential
patterns
community
associations.
Frontiers in Marine Science,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 5, 2025
Introduction
As
coastal
urbanization
progresses,
anthropogenic
activities
have
significantly
impacted
mudflats.
In
South
Korea,
land
reclamation
and
aquaculture
drastically
altered
mudflat
ecosystems.
Methods
our
study,
we
utilized
five
remote
sensing
indices
to
assess
the
impact
of
on
Hwangdo
Island.
We
supplemented
this
with
field
surveys
evaluate
macrobenthic
biodiversity
benthic
ecological
quality,
investigating
their
relationship
activities.
Results
discussion
Spearman’s
correlation
analysis
revealed
that
terrestrial
quality
influences
biodiversity.
The
abundance
predominant
species,
Pirenella
sp.,
was
primarily
influenced
by
normalized
differential
build-up
bare
soil
index
(NDBSI).
Furthermore,
biota-environment
matching
(BIO-ENV)
analysis,
distance-based
multivariate
for
a
linear
model
(DisLM),
redundancy
(dbRDA)
all
pinpointed
NDBSI
as
factor
impacting
communities
in
mudflats
Seasonal
changes
were
mainly
attributed
variations
area
resulting
from
agricultural
Overall,
Island
are
indirectly
affected
Moreover,
study
offers
fresh
perspective
conservation
Island’s
provides
critical
references
Korean
government
crafting
implementing
protection
policies.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
145, P. 109728 - 109728
Published: Nov. 25, 2022
Understanding
the
patterns
and
ecological
determinants
of
β
diversity
in
freshwater
ecosystems
is
fundamental
to
biogeography,
conservation
biology,
environmental
management.
It
has
been
proposed
that
can
be
divided
into
contributions
individual
sites
(LCBD)
or
species
(SCBD)
total
diversity.
However,
underlying
mechanisms
LCBD
SCBD
remain
understudied
fish.
Here,
using
fish
assemblages
sampled
from
Chishui
River
basin,
we
analysed
based
on
both
abundance
presence-absence
data.
We
also
examined
relationships
between
with
site
(i.e.,
community
abundance,
richness,
functional
indices,
factors,
spatial
variables)
occupancy,
niche
position
breadth,
traits)
characteristics,
respectively.
Our
results
revealed
basin
was
well
explained
by
factors.
Fish
negatively
related
richness
showing
high
uniqueness
generally
supported
low
abundance.
Furthermore,
features
were
significantly
associated
LCBD,
specialization,
originality,
uniqueness,
but
divergence,
dispersion.
Abundance-based
showed
positive
occupancy
whereas
there
hump-shaped
Niche
correlated
SCBD,
breadth
traits
not
significant
correlates
SCBD.
Overall,
this
study
suggests
understanding
key
biodiversity
variation
its
applied
repercussions.
advocate
importance
conditions
between-site
connectivity
for
effective
riverine
Moreover,
a
simultaneous
application
rare
would
most
suitable
approach
conservation.
Ecological Indicators,
Journal Year:
2021,
Volume and Issue:
124, P. 107407 - 107407
Published: Jan. 27, 2021
There
is
a
growing
recognition
that
examining
patterns
of
ecological
communities
and
their
underlying
determinants
not
only
feasible
based
on
taxonomic
data,
but
also
functional
phylogenetic
approaches.
This
because
these
additional
facets
can
enhance
the
understanding
relative
contribution
multiple
processes
in
shaping
biodiversity.
However,
few
studies
have
focused
multifaceted
beta
diversities
lotic
macroinvertebrates,
especially
when
considering
driving
factors
operating
at
spatial
scales.
Here,
we
examined
multi-faceted
(i.e.,
taxonomic,
phylogenetic)
diversity
components
turnover
nestedness)
macroinvertebrates
50
sites
10
streams
situated
north
south
slope
Qinling
Mountains,
geographical
dividing
line
Northern
Southern
China.
We
found
draining
showed
significantly
lower
values
all
three
than
slope.
Such
north-to-south
increases
were
caused
by
distinct
climatic
local
environmental
conditions
between
sides
mountain
range.
Moreover,
variables
generally
played
most
important
role
structuring
diversity,
followed
variables,
whereas
catchment
less
important.
Despite
similar
results
explanatory
each
facet,
details
community-environment
relationships
(e.g.,
power)
among
different
components.
In
conclusion,
measuring
provides
complementary
information
to
traditional
approach.
Therefore,
an
integrative
approach
embracing
better
reveal
mechanisms
biodiversity,
which
essential
assessing
valuing
aquatic
ecosystems
for
biodiversity
management
conservation.
Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: June 19, 2023
The
metacommunity
concept
has
been
widely
used
to
explain
the
biodiversity
patterns
at
various
scales.
It
considers
influences
of
both
local
(e.g.,
environmental
filtering
and
biotic
interactions)
regional
processes
dispersal
limitation)
in
shaping
community
structures.
Compared
spatial
processes,
influence
interactions
on
streams
received
limited
attention.
We
investigated
relative
importance
three
ecological
namely
(including
geo-climatic
factors),
(represented
by
macroinvertebrates
diatom),
different
traits
macroinvertebrate
communities
subtropical
streams,
Eastern
China.
applied
variance
partitioning
uncover
pure
shared
effects
explaining
variation.
results
showed
that
filtering,
jointly
determined
taxonomic
trait
compositions
stream
macroinvertebrates.
Spatial
a
stronger
than
filtering.
contribution
variables
was,
albeit
significant,
rather
small,
which
was
likely
result
insufficient
representation
(by
diatom
traits)
trophic
associated
with
Moreover,
impact
depends
traits,
especially
terms
processes.
For
example,
have
strongest
effect
strong
ability
groups;
greater
scrapers
other
functional
feeding
groups.
Overall,
our
integration
theory
provides
valuable
framework
for
understanding
drivers
structuring
will
facilitate
development
effective
bioassessment
management
strategies.