Freshwater Biology,
Journal Year:
2023,
Volume and Issue:
69(2), P. 277 - 287
Published: Dec. 30, 2023
Abstract
1.
Niche
conservatism
posits
that
a
species'
non‐native
populations
establish
in
areas
match
their
native
environmental
conditions.
Although
the
Ponto‐Caspian
biodiversity
hotspot
is
major
source
of
freshwater
alien
species,
extent
to
which
climatic
niches
diverge
between
invaded
and
ranges
remains
poorly
understood.
2.
Using
an
n‐dimensional
hypervolume
approach,
we
quantified
niche
overlap
inferred
patterns
differentiation
(shift,
contraction,
or
expansion)
among
for
12
widespread
amphipod
species
(six
genera
three
families).
3.
Our
results
show
all
experience
substantially
different
conditions
range
compared
range.
The
invasive
either
contracted
(five
species),
shifted
(four
expanded
(two
(one
species)
relative
niche.
4.
We
conclude
although
focal
taxa
share
common
geographic
origin
evolutionary
history,
they
exhibit
disparate
change
outside
hypothesis
receives
mixed
support
given
half
studied
underwent
shifts/expansion.
Furthermore,
congeners
exhibited
both
identical
contrasting
differentiation,
suggesting
limited
phylogenetic
effect.
5.
uncovered
diversity
dynamics
closely
related
indicates
each
has
unique
potential
invasiveness
long‐term
persistence.
This
important
implications
predicting
invasion
risk
refining
management
strategies.
study
also
underlines
importance
hotspots
as
reservoirs
highly
adaptable
species.
Journal of Applied Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 16, 2025
Abstract
Plant
invasions
pose
significant
threats
to
native
ecosystems,
human
health,
and
global
economies.
However,
the
complex
multidimensional
nature
of
factors
influencing
plant
makes
it
challenging
predict
interpret
their
invasion
success
accurately.
Using
a
robust
machine
learning
algorithm,
random
forest,
an
extensive
suite
characteristics
related
environmental
niches,
species
traits,
propagule
pressure,
we
developed
classification
model
naturalized
cultivated
plants
in
China.
Based
on
final
optimal
model,
evaluated
relative
importance
individual
grouped
variables
prediction
performance.
Our
study
identified
key
within
each
three
groupings:
climatic
suitability
range
size
(environmental
niches),
phylogenetic
distance
closest
taxon
vegetative
propagation
mode
(species
traits),
number
botanical
gardens
provinces
where
were
(propagule
pressure).
Remarkably,
when
evaluated,
increased
dramatically—by
13.5–17.7
times—compared
with
cumulative
category.
one
category
was
primarily
due
rather
than
its
inherent
characteristics.
Synthesis
applications
.
findings
emphasize
necessity
developing
data‐driven
predictive
tools
for
effective
risk
assessment
using
large
datasets.
By
identifying
variables,
recommend
prioritizing
surveillance
alien
ranges
high
suitability.
evaluating
significance
enhancing
interpretability
by
providing
deeper
insights
into
interactions
among
predefined
This
comprehensive
approach
can
not
only
identify
most
influential
predictors
but
also
equip
policymakers
evidence‐based
strategies
surveillance,
early
detection,
targeted
intervention
invasive
plants.
Biological Invasions,
Journal Year:
2024,
Volume and Issue:
26(5), P. 1345 - 1366
Published: Jan. 29, 2024
Abstract
Invasive
species
threaten
native
ecosystems,
the
economy
and
human
health.
Improved
understanding
of
an
invasive
species’
ecological
niche,
whether
it
has
differentiated
in
compared
to
range,
will
enable
better
prediction
areas
at
risk
future
invasions.
Here,
we
characterise
niche
common
myna
(
Acridotheres
tristis
)
starling
Sturnus
vulgaris
),
their
range
Aotearoa
New
Zealand,
where
they
were
introduced
over
140
years
ago.
Common
are
two
most
bird
world
agricultural
pests,
competitors
fauna
may
act
as
disease
vectors.
Using
biologically
justified
environmental
variables
occurrence
data,
construct
models
(ENMs)
using
five
algorithms.
Based
on
ENM
algorithm
with
highest
transferability,
identify
key
compare
niches
Zealand
between
Zealand.
For
both
species,
find
no
evidence
divergence
despite
long
invasion
history.
However,
do
for
differences
Our
suitable
habitat
predictions
suggest
little
expansion
already-widespread
starlings
but
large
Zealand’s
South
Island.
results
support
ongoing
management
populations,
especially
Island
Cook
strait
already
provide
some
barrier
dispersal.
Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
10
Published: Jan. 13, 2023
Predicting
the
distribution
of
Invasive
alien
species
(IAS)
using
models
is
promising
for
conservation
planning.
To
achieve
accurate
predictions,
it
essential
to
explore
niche
dynamics.
New
approaches
are
necessary
bringing
this
analysis
real
management
needs.
Using
multi-site
comparisons
can
provide
great
useful
insights
better
understand
invasion
processes.
Exploring
fine-scale
overlap
between
IAS
and
native
sharing
a
location
be
key
tool
achieving
implementation
local
actions,
which
play
fundamental
role
in
global
IAS.
This
also
increase
society’s
awareness
threat
In
context,
here,
we
explored
two
research
demands.
First,
studied
large-scale
dynamics
invasive
Paraserianthes
lophantha
(Willd.)
I.C.
Nielsen’s
considering
different
invaded
areas.
The
compared
niches
range
(South
Western
Australia)
with
Australian
(eastern
Australia);
European
range,
its
full
(native
plus
range)
range.
Second,
perform
at
landscape
scale
Spain.
We
P.
remarkable
interest
(
Quercus
lusitanica
Lam).
All
analyses
were
realized
following
well-established
ordination
(principal
component
analysis)
approach
where
important
methodological
aspects
analyzed.
Our
study
detected
shifts
ranges
demonstrating
that
labile
may
potentially
adapt
further
climate
conditions
spread
Comparative
supports
calibrate
including
information
predict
potential
distribution.
explained
used
as
model
example
how
these
studies
promote
actions
situ
complement
strategies.
Ecological Applications,
Journal Year:
2025,
Volume and Issue:
35(2)
Published: March 1, 2025
Invasive
species
are
an
economic
and
ecological
burden,
efforts
to
limit
their
impact
greatly
improved
with
reliable
maps
based
on
distribution
models
(SDMs).
However,
the
potential
of
new
invaders
is
difficult
anticipate
because
they
still
spreading
few
observations
in
invaded
habitat.
Therefore,
accepted
practice
predicting
invasive
has
been
incorporate
habitat
information
from
its
entire
geographic
(invaded
native
ranges)
into
SDMs.
Yet,
this
approach,
due
niche
shifts,
expansions,
data
deficiencies,
commonly
misrepresents
where
found
range.
Here,
we
use
time
series
records
(invasion
stages)
13
plant
North
America
explore
tension
between
modeling
using
global
range
determine
if
there
a
"tipping
point"
at
which
one
SDM
strategy
performs
better
than
other
ultimate
distribution.
At
earliest
invasion
stage,
developed
both
occurrences
average
performed
had
less
variability
across
model
strategies
stage.
after
as
100
made,
US-invaded
models,
average,
outperformed
that
combined
occurrences.
By
building
US-scale
predictors,
show
higher
performance
was
part
greater
quality
invaded-range
scale.
Our
work
demonstrates
relatively
range,
it
more
accurate
only
while
disregarding
regions.
This
develops
robust
comprehensive
approach
novel
distributions
newly
observed
species.
Plants,
Journal Year:
2025,
Volume and Issue:
14(9), P. 1361 - 1361
Published: April 30, 2025
The
import
of
ornamental
plants
has
become
a
major
source
alien
invasive
in
China,
posing
threats
to
local
ecosystems.
However,
research
on
their
potential
and
management
strategies
remains
limited.
This
study
evaluated
the
invasion
risks
nine
representative
introduced
(including
naturalized
species)
China
(IOPCs).
Using
ecospat
perform
climatic
niche
comparisons,
we
found
significant
unfilling
expansion
(>50%)
most
plants,
indicating
strong
invasiveness.
Species
distribution
models
(SDMs)
were
applied
predict
current
future
distributions
these
IOPCs
under
four
shared
socioeconomic
pathways
(SSPs:
SSP1-2.6,
SSP2-4.5,
SSP3-7.0,
SSP5-8.5)
across
time
periods
(2021–2040,
2041–2060,
2061–2080,
2081–2100).
SDM
results
showed
that
high-risk
areas
are
concentrated
southern
China.
Under
climate
change,
moderate-
zones
projected
shift
northward,
with
total
increasing
significantly,
namely
moderate-risk
by
106.10%
64.35%,
particularly
border
regions
Jiangxi,
Fujian,
Zhejiang.
We
recommend
establishing
restricted
introduction
lists
for
non-native
enhancing
monitoring
regions,
implementing
early
eradication
measures.
quantified
providing
scientific
basis
effective
control
strategies.