Ecography,
Journal Year:
2023,
Volume and Issue:
2024(3)
Published: Dec. 12, 2023
Human
trade
and
movements
are
central
to
biological
invasions
worldwide.
activities
not
only
transport
species
across
biogeographical
barriers,
but
also
accelerate
their
post‐introduction
spread
in
the
landscape.
Thus,
by
constraining
human
movements,
spatial
structure
of
road
networks
might
greatly
affect
regional
invasive
species.
However,
few
invasion
models
have
accounted
for
topology
so
far,
its
importance
explaining
distribution
remains
mostly
unexplored.
To
address
this
issue,
we
developed
a
spatially
explicit
mechanistic
human‐mediated
dispersal
model
that
accounts
tests
influence
on
Using
as
ant
Lasius
neglectus
middle
Rhône
valley
(France),
show
accounting
improves
our
ability
explain
current
ant.
In
contrast,
found
using
population
density
proxy
frequency
events
decreases
models'
performance
thus
be
appropriate
previously
thought.
Finally,
differentiating
into
sub‐networks,
national
roads
more
important
than
smaller
patterns.
Overall,
results
demonstrate
can
strongly
bias
patterns
highlight
better
incorporating
it
future
models.
The
modelling
approach
study
should
help
scientists
explore
how
topography
shape
dynamics
landscapes.
Ultimately,
could
combined
with
demographic,
natural
environmental
suitability
refine
scenarios
improve
monitoring
management
at
scales.
Keywords:
invasions,
dispersal,
network,
secondary
spread,
model,
stochastic
jump
Diversity and Distributions,
Journal Year:
2022,
Volume and Issue:
29(1), P. 157 - 172
Published: Nov. 6, 2022
Abstract
Aim
Invasive
alien
species
are
a
growing
problem
worldwide
due
to
their
ecological,
economic
and
human
health
impacts.
The
“killer
shrimp”
Dikerogammarus
villosus
is
notorious
invasive
amphipod
from
the
Ponto‐Caspian
region
that
has
invaded
many
fresh
brackish
waters
across
Europe.
Understandings
of
large‐scale
population
dynamics
highly
impactful
invaders
such
as
D.
lacking,
inhibiting
predictions
impact
efficient
timing
management
strategies.
Hence,
our
aim
was
assess
trends
well
its
impacts
in
freshwater
rivers
streams.
Location
Methods
We
analysed
96
European
time
series
between
1994
2019
identified
relative
abundance
(i.e.
dominance
%)
series,
set
site‐specific
characteristics
identify
drivers
determinants
changes
invasion
using
meta‐regression
modelling.
also
looked
at
spread
over
space
estimate
speed
(km/year)
investigated
on
recipient
community
metrics
abundance,
taxa
richness,
temporal
turnover,
Shannon
diversity
Pielou
evenness)
generalized
linear
models.
Results
Population
varied
series.
Nevertheless,
increased
all
frequency
occurrences
(used
proxy
for
invader
spread)
described
by
Pareto
distribution,
whereby
we
estimated
lag
phase
introduction
spatial
expansion)
approximately
28
years,
followed
gradual
increase
before
new
declined
rapidly
long
term.
change
associated
with
decreased
turnover
diversity.
Main
Conclusion
Our
results
show
well‐established
significantly
alters
ecological
communities.
However,
multidecadal
prior
observed
expansion
suggests
initial
introductions
cryptic,
thus
signalling
need
more
effective
early
detection
methods.
Ecography,
Journal Year:
2023,
Volume and Issue:
2024(3)
Published: Dec. 26, 2023
Invasive
alien
plants
(IAPs)
have
serious
environmental
and
economic
impacts,
especially
in
vulnerable
areas
of
China.
However,
IAP
richness
distribution
patterns,
their
driving
factors,
the
dynamic
shifts
potential
remain
elusive.
We
assessed
patterns
drivers
using
402
IAPs
recorded
China
at
88
926
occurrence
points,
then
predicted
areas.
The
results
show
that
hotspots
were
mainly
located
southeastern
China,
coastal
South
East
large
inland
cities.
Population
density,
gross
domestic
product
(GDP),
four
climate
variables
associated
with
precipitation
temperature
jointly
influenced
pattern
all
IAPs.
Specifically,
population
density
GDP
impacted
narrow‐range
IAPs,
GDP,
distance
to
nearest
national
highway,
five
affected
widespread
Only
contributed
significantly
top
5%
hotspot
grid
cells,
whereas
driest
month
(BIO14)
for
both
10%
20%.
Prediction
analysis
demonstrated
would
particularly
high
invasion
risk
under
current
future
scenarios.
Regions
increases
species
are
more
common
(44.83–64.97%)
than
those
decreases,
except
Representative
Concentration
Pathway
(RCP)
4.5
scenario.
Climate
change
will
contribute
greatly
expansion
optimistic
(RCP
2.5)
pessimistic
scenarios
8.5).
this
study
provide
insights
into
priority
management
by
developing
promising
strategies
control
prevention
invasion.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(2), P. e0313849 - e0313849
Published: Feb. 7, 2025
Invasive
alien
species
introduced
to
ports
through
cargo
containers
have
destroyed
the
biodiversity
worldwide.
The
introduction
risk
at
must
be
estimated
control
early
stages
of
invasion.
However,
limited
data
are
available
for
this
estimation
in
stage.
Spatial
statistical
models
been
used
address
lack
information
by
considering
observations
neighbors
or
integrating
multiple
sources
based
on
assumption
spatial
correlation.
Unlike
natural
dispersal,
methods
these
issues
not
yet
established,
because
correlation
between
geographical
distance
is
assumed
human-mediated
container
cargo.
Herein,
we
propose
a
multivariate
conditional
autoregressive
model
that
considers
logistic
network
order
integrate
and
estimate
risk.
A
relationship
locations
logistics
connectivity
rather
than
past.
Hierarchical
Bayesian
were
implemented
two
fire
ant
(Solenopsis
invicta
Solenopsis
geminata)
observed
Japanese
ports.
We
proposed
joint
improved
fit
compared
conventional
from
single
dataset.
This
finding
suggests
types
helps
observations.
one
first
studies
demonstrate
effectiveness
biological
invasion
networks
contributes
development
reliable
biosecurity
strategies.
Ecological Monographs,
Journal Year:
2025,
Volume and Issue:
95(1)
Published: Feb. 1, 2025
Abstract
The
rising
introduction
of
invasive
species
through
trade
networks
threatens
biodiversity
and
ecosystem
services.
Yet,
we
have
a
limited
understanding
how
transportation
determine
spatiotemporal
patterns
range
expansion.
This
knowledge
gap
may
stem
from
two
reasons.
First,
current
analytical
models
fail
to
integrate
the
invader's
life‐history
dynamics
with
heterogeneity
in
human‐mediated
dispersal
patterns.
Second,
classical
statistical
methods
often
provide
reliable
estimates
model
parameters,
such
as
time
place
characteristics,
due
spatial
biases
presence‐only
records
lack
informative
demographic
data.
To
address
these
gaps,
first
formulate
an
age‐structured
metapopulation
that
uses
probability
matrix
emulate
reveals
invader
spreads
radially
along
shortest
network
path,
inter‐patch
distances
decrease
increasing
traffic
volume
reproductive
value
hitchhikers.
Next,
propose
hierarchical
Bayesian
method
estimate
parameters
using
data
prior
knowledge.
show
utility
approach,
analyze
zebra
mussel
(
Dreissena
polymorpha
)
expansion
North
America
inland
commercial
shipping
network.
Our
analysis
suggests
mussels
might
been
introduced
before
1981,
indicating
lag
5
years
between
detection
late
1986.
Furthermore,
our
model,
estimated
one
three
chance
they
were
near
Kingsville
(Ontario,
Canada),
where
reported.
We
also
find
survival,
fecundity,
during
early
life
(1–2
years)
play
critical
role
determining
success
mollusks.
These
results
underscore
importance
fusing
scientific
observation
processes
framework
for
conceptual
practical
spread
by
human
agency.
Diversity and Distributions,
Journal Year:
2023,
Volume and Issue:
29(10), P. 1208 - 1225
Published: Aug. 9, 2023
Abstract
Aims
Spatio‐temporal
processes
play
a
key
role
in
ecology,
from
genes
to
large‐scale
macroecological
and
biogeographical
processes.
Existing
methods
studying
such
spatio‐temporally
structured
data
either
simplify
the
dynamic
structure
or
complex
interactions
of
ecological
drivers.
The
aim
this
paper
is
present
generic
method
for
research
that
allows
analysing
spatio‐temporal
patterns
biological
at
large
spatial
scales
by
including
time‐varying
variables
drive
these
dynamics.
Location
Global
analysis
level
272
regions.
Methods
We
introduce
called
relational
event
modelling
(REM).
REM
relies
on
temporal
interaction
dynamics
encode
sequences
events
connecting
sender
node
recipient
specific
point
time.
apply
spread
alien
species
around
globe
between
1880
2005,
following
accidental
deliberate
introductions
into
geographical
regions
outside
their
native
range.
In
context,
represents
new
occurrence
an
given
its
former
distribution.
Results
application
models
first
reported
invasions
4835
established
ranges
four
major
taxonomic
groups
enables
us
unravel
main
drivers
invasive
species.
Combining
records
with
other
information
discover
which
factors
have
been
responsible
across
globe.
Besides
usual
invasions,
as
trade,
land
use
climatic
conditions,
we
also
find
evidence
species‐interconnectedness
spread.
Conclusions
Relational
offer
capacity
account
investigate
how
relationships
potential
change
over
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 12, 2024
Abstract
The
rising
introduction
of
invasive
species
through
trade
networks
threatens
biodiversity
and
ecosystem
services.
Yet,
we
have
a
limited
understanding
how
transportation
determine
patterns
range
expansion.
This
is
partly
because
current
analytical
models
fail
to
integrate
the
invader’s
life-history
dynamics
with
heterogeneity
in
human-mediated
dispersal
patterns.
And
classical
statistical
methods
often
provide
reliable
estimates
model
parameters
due
spatial
biases
presence-only
records
lack
informative
demographic
data.
To
address
these
gaps,
first
formulate
an
age-structured
metapopulation
that
uses
probability
matrix
emulate
reveals
invader
spreads
along
shortest
network
path,
such
inter-patch
distances
decrease
increasing
traffic
volume
reproductive
value
hitchhikers.
Next,
propose
Bayesian
method
estimate
using
data
prior
knowledge.
show
utility
approach,
analyze
zebra
mussel
(
Dreissena
polymorpha
)
expansion
North
America
commercial
shipping
network.
Our
analysis
underscores
importance
correcting
leveraging
priors
answer
questions,
as
where
when
mussels
were
introduced
what
characteristics
make
mollusks
successful
invaders.
Global Ecology and Conservation,
Journal Year:
2024,
Volume and Issue:
54, P. e03059 - e03059
Published: June 25, 2024
The
global
introduction
of
human-mediated
trade
and
local
dispersal
through
transport
or
natural
pathways
are
major
processes
contributors
to
biological
invasion.
To
effectively
prevent
manage
invasion,
invasions
need
be
considered
as
a
continuum
(CGLD).
However,
there
has
been
no
unified
CGLD
framework
developed
that
simultaneously
considers
pathway
dynamics
multiple
with
guide
the
development
effective
management
priority
strategies
for
pine
wilt
disease.
In
this
study,
we
constructed
evaluate
risks
This
is
an
invasive
forest
pathogen
caused
by
wood
nematode
(PWN)
Bursaphelenchus
xylophilus,
which
causes
severe
harm
forestry
ecosystems
worldwide.
network
indicated
pressure
PWN
continually
increased
during
2003–2016.
highest-risk
source
country
entry
port
were
United
States
Jiangsu
ports,
respectively.
modes
mainly
presented
random
structure
lots
"in-filling"
events
2010–2021.
populations
in
China
have
gradually
dispersed
non-analogous
climatic
regions
compared
those
native
other
ranges.
risk
areas
primarily
cover
southwestern,
eastern,
central,
northeastern
China.
Such
integration
can
facilitate
more
accurate
prediction
invasion
provide
vital
guidance
designing