The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
916, P. 170055 - 170055
Published: Jan. 15, 2024
The
primary
driving
factors
of
ecological
environment
change
have
received
significant
attention.
However,
previous
research
methods
for
identifying
the
main
drivers
primarily
relied
on
correlation
analysis
and
regression
analysis.
While
these
can
reveal
co-occurrences,
associations,
correlations
among
elemental
characteristics,
they
often
struggle
to
uncover
deep-seated
interactions
elements
within
complex,
unstable,
nonlinear,
high-dimensional
systems.
To
address
this,
we
used
Three-River
Headwaters
Region
as
a
case
study
introduced
complex
network
model
from
perspective
system
investigate
change.
In
our
analysis,
considered
12
related
atmosphere,
hydrology,
vegetation,
soil,
including
evaporation,
long-wave
radiation,
short-wave
specific
humidity,
soil
temperature,
precipitation
rate,
water
content,
air
pressure,
vegetation
normalization
index,
wind
speed,
natural
surface
runoff.
Watersheds
were
selected
fundamental
units
constructing
datasets.
We
applied
Ensemble
Empirical
Mode
Decomposition
(EEMD)
method
Hilbert-Huang
Transform
(HHT)
analyze
causal
relationships
between
time
series
pairs
constructed
two
directed
weighted
models
based
sub-catchments.
results
showed
that
both
yielded
consistent
conclusions,
with
sparse
exhibiting
higher
efficiency.
Radiation
temperature
identified
ecosystem
change,
cycle
was
determined
be
ultimate
manifestation
throughout
Region.
Furthermore,
node
out-strength,
generated
protection
priority
map.
Journal of Ecology,
Journal Year:
2021,
Volume and Issue:
109(9), P. 3114 - 3132
Published: March 20, 2021
Abstract
Characterizing
how
ecosystems
are
responding
to
rapid
environmental
change
has
become
a
major
focus
of
ecological
research.
The
empirical
study
stability,
which
aims
quantify
these
ecosystem
responses,
is
therefore
more
relevant
than
ever.
Based
on
historical
review
and
bibliometric
mapping
the
field
we
show
that
two
main
schools
relating
stability—one
focusing
systems
close
their
equilibrium
other
non‐equilibrium
behaviour—have
developed
in
parallel
leading
divergence
both
concepts
definitions.
We
synthesize
expand
previous
frameworks
capitalize
latest
developments
build
towards
an
integrated
framework
by
elaborating
overarching
concept
stability
its
properties.
Finally,
broad
applicability
our
work
demonstrated
cases.
Synthesis
.
With
rapidly
changing
conditions,
Still,
remains
source
confusion
disagreement
among
ecologists.
conceptual
presented
here
provides
basis
integrate
currently
diverging
views
stability.
Environmental Research Letters,
Journal Year:
2022,
Volume and Issue:
17(4), P. 043003 - 043003
Published: Feb. 22, 2022
Abstract
The
question
of
what
and
how
to
measure
ecological
resilience
has
been
troubling
ecologists
since
Holling
1973s
seminal
paper
in
which
he
defined
as
the
ability
a
system
withstand
perturbations
without
shifting
different
state.
This
definition
moved
focus
from
studying
local
stability
single
attractor
always
converges,
idea
that
may
converge
states
when
perturbed.
These
two
concepts
have
later
on
led
definitions
engineering
(local
stability)
vs
(non-local
metrics.
While
is
associated
clear
metrics,
measuring
remained
elusive.
As
result,
notions
studied
largely
independently
one
another
although
several
attempts
devoted
mapping
them
together
some
kind
coherent
framework,
extent
they
overlap
or
complement
each
other
quantifying
not
yet
fully
understood.
In
this
perspective,
we
metrics
quantify
following
Holling’s
based
concept
landscape.
We
explore
relationships
between
derived
bistable
systems
show
that,
for
low
dimensional
models,
correlation
can
be
high.
also
review
current
approaches
models
data,
outline
challenges
which,
if
answered,
could
help
us
make
progress
toward
more
reliable
quantification
practice.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2020,
Volume and Issue:
51(1), P. 55 - 80
Published: July 31, 2020
Food
webs
are
a
major
focus
and
organizing
theme
of
ecology,
but
the
data
used
to
assemble
them
deficient.
Early
debates
over
food-web
focused
on
taxonomic
resolution
completeness,
lack
which
had
produced
spurious
inferences.
Recent
widely
believed
be
much
better
extensively
in
theoretical
meta-analytic
research
network
ecology.
Confidence
these
rests
assumptions
(
a)
that
empiricists
correctly
identified
consumers
their
foods
b)
sampling
methods
were
adequate
detect
near-comprehensive
fraction
trophic
interactions
between
species.
Abundant
evidence
indicates
often
invalid,
suggesting
most
topological
may
remain
unreliable
for
inferences
about
structure
underlying
ecological
evolutionary
processes.
Morphologically
cryptic
species
ubiquitous
across
taxa
regions,
many
routinely
evade
detection
by
conventional
methods.
Molecular
have
diagnosed
severity
problems
necessary
part
cure.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2021,
Volume and Issue:
376(1837), P. 20210063 - 20210063
Published: Sept. 20, 2021
Networks
of
species
interactions
underpin
numerous
ecosystem
processes,
but
comprehensively
sampling
these
is
difficult.
Interactions
intrinsically
vary
across
space
and
time,
given
the
number
that
compose
ecological
communities,
it
can
be
tough
to
distinguish
between
a
true
negative
(where
two
never
interact)
from
false
have
not
been
observed
interacting
even
though
they
actually
do).
Assessing
likelihood
an
imperative
for
several
fields
ecology.
This
means
predict
species-and
describe
structure,
variation,
change
networks
form-we
need
rely
on
modelling
tools.
Here,
we
provide
proof-of-concept,
where
show
how
simple
neural
network
model
makes
accurate
predictions
about
limited
data.
We
then
assess
challenges
opportunities
associated
with
improving
interaction
predictions,
conceptual
roadmap
forward
towards
predictive
models
explicitly
spatial
temporal.
conclude
brief
primer
relevant
methods
tools
needed
start
building
models,
which
hope
will
guide
this
research
programme
forward.
article
part
theme
issue
'Infectious
disease
macroecology:
parasite
diversity
dynamics
globe'.
Frontiers in Ecology and Evolution,
Journal Year:
2020,
Volume and Issue:
8
Published: Oct. 20, 2020
This
review
provides
a
synthesis
of
current
knowledge
on
the
morphological
and
functional
traits
testate
amoebae,
polyphyletic
group
protists
commonly
used
as
proxies
past
hydrological
changes
in
paleoecological
investigations
from
peatland,
lake
sediment
soil
archives.
A
trait-based
approach
to
understanding
amoebae
ecology
paleoecology
has
gained
popularity
recent
years,
with
research
showing
that
characteristics
provide
complementary
information
environmental
inferences
based
(morpho-)species
data.
We
broad
overview
trait-environment
relationships
context
ecology,
evolution,
genetics,
biogeography,
paleoecology.
As
examples
we
report
upon
previous
ecological
studies
approaches,
describe
key
can
be
improve
interpretation
studies.
also
highlight
gaps
speculate
potential
future
directions
for
application
approaches
research.
Environmental Microbiome,
Journal Year:
2021,
Volume and Issue:
16(1)
Published: Nov. 27, 2021
Abstract
Background
Annually
reoccurring
microbial
populations
with
strong
spatial
and
temporal
variations
have
been
identified
in
estuarine
environments,
especially
those
long
residence
time
such
as
the
Chesapeake
Bay
(CB).
However,
it
is
unclear
how
taxa
cooccurr
inter-taxa
networks
respond
to
environmental
gradients
estuaries.
Results
Here,
we
constructed
co-occurrence
on
prokaryotic
communities
CB,
which
included
seasonal
samples
from
seven
stations
along
salinity
for
three
consecutive
years.
Our
results
showed
that
spatiotemporal
of
planktonic
microbiomes
promoted
differentiations
characteristics
stability
CB
estuary.
Prokaryotic
exhibited
a
clear
pattern
where
microbes
were
more
closely
connected
during
warm
season
compared
associations
cold
season.
In
addition,
stable
lower
(ocean
side)
than
upper
(freshwater
side).
Multivariate
regression
tree
(MRT)
analysis
piecewise
structural
equation
modeling
(SEM)
indicated
temperature,
total
suspended
substances
nutrient
availability,
particulate
carbon
Chl
,
affected
distribution
groups,
Actinobacteria,
Bacteroidetes,
Cyanobacteria,
Planctomycetes,
Proteobacteria,
Verrucomicrobia.
Interestingly,
abundant
groups
(such
SAR11,
Saprospiraceae
Actinomarinaceae),
rare
including
OM60
(NOR5)
clade
(Gammaproteobacteria),
Micrococcales
(Actinobacteria),
NS11-12
marine
group
(Bacteroidetes)
contributed
greatly
Bay.
Modularity
cluster
structures
varied
spatiotemporally,
provided
valuable
insights
into
‘small
world’
(a
interconnected
species),
network
stability,
habitat
partitioning/preferences.
Conclusion
shed
light
alter
ecosystem,
well
their
adaptability
disturbances
complexity
stability.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2022,
Volume and Issue:
377(1857)
Published: June 27, 2022
Anthropogenic
activities
are
increasingly
affecting
ecosystems
across
the
globe.
Meanwhile,
empirical
and
theoretical
evidence
suggest
that
natural
systems
can
exhibit
abrupt
collapses
in
response
to
incremental
increases
stressors,
sometimes
with
dramatic
ecological
economic
consequences.
These
catastrophic
shifts
faster
larger
than
expected
from
changes
stressors
happen
once
a
tipping
point
is
crossed.
The
primary
mechanisms
drive
ecosystem
responses
perturbations
lie
their
architecture
of
relationships,
i.e.
how
species
interact
each
other
physical
environment
spatial
structure
environment.
Nonetheless,
existing
work
on
has
so
far
largely
focused
relatively
simple
have
either
few
and/or
no
structure.
This
laid
critical
foundation
for
understanding
possible,
but
it
remains
difficult
predict
(let
alone
manage)
where
or
when
they
most
likely
occur
more
complex
real-world
settings.
Here,
we
discuss
scaling
up
our
investigations
complex—species
rich
spatially
structured—systems
could
contribute
expanding
nature
works
improve
ability
anticipate
effects
global
change
systems.
article
part
theme
issue
‘Ecological
complexity
biosphere:
next
30
years’.