Abstract
Protected
areas
are
essential
tools
for
reducing
loss
of
global
biodiversity.
To
fulfill
their
ecological
functions,
protected
must
be
connected
to
surroundings,
a
requirement
that
is
difficult
meet
in
landscapes
intensively
disturbed
by
anthropogenic
activities.
Therefore,
protecting
movement
corridors
at
the
edges
crucial,
especially
species
with
broad
habitat
needs,
such
as
American
marten
(
Martes
americana
).
However,
selection
and
space
use
patterns
dynamic
processes,
so
we
could
expect
functional
connectivity
would
vary
temporally
response
changing
environmental
conditions
levels
human
In
this
study,
aimed
predicting
location
Forillon
National
Park
its
periphery
during
two
contrasted
periods
(snow‐free:
May–November;
snow‐covered:
December–April).
We
used
“seasonal”
resource
functions
identify
core
(interpreted
circuit
“nodes”)
CircuitScape
delineate
between
them
based
on
electrical
theory.
Habitat
differed
periods,
martens
avoiding
open
areas,
high
elevations
road
proximity
snow‐free
period,
while
closer
secondary
roads
but
selecting
primary
housing
structures
snow‐covered
period.
Consequently,
partially
periods.
Functional
was
favored
presence
forest
patches
both
being
constrained
environments,
Our
study
highlights
importance
modeling
fine
temporal
scales
order
provide
requirements
each
period
annual
cycle.
Global Ecology and Conservation,
Год журнала:
2024,
Номер
50, С. e02849 - e02849
Опубликована: Фев. 16, 2024
In
agricultural
landscapes,
patches
containing
diverse
species
can
serve
as
nodes,
and
diffusion
among
these
edges,
forming
metapopulation
networks.
However,
the
impact
of
landscape
fragmentation
on
networks
consequences
for
keystone
crop
remain
unclear.
Here,
we
investigated
thrips
(pests)
lacewings
(natural
predators)
in
mango
orchards
surrounding
habitats
across
15
landscapes.
Using
a
machine
learning
neural
network,
built
based
relationship
between
patch
properties
abundance.
We
evaluated
with
metrics
like
clustering
coefficient,
strength,
path
length.
Furthermore,
analyzed
effects
fragmentation,
indicated
by
edge
density
Shannon
diversity,
network
structures
subsequent
effect
abundance
using
piecewise
structural
equation
modeling.
The
results
show
that
effectively
constructed
accurately
predicting
lacewing
thrip
abundances
various
an
accuracy
rate
exceeding
80%.
Positive
correlations
were
observed
strength
both
species.
positive
diversity
length
was
identified
only
lacewings.
Edge
had
greater
compared
to
negative
thrips.
affected
directly
indirectly
through
strength.
no
structure
mediated
Our
conclusion
highlights
are
primarily
driven
effects.
These
clarified
structure,
which
varied
depending
findings
provide
new
perspectives
unlock
Abstract
Protected
areas
are
essential
tools
for
reducing
loss
of
global
biodiversity.
To
fulfill
their
ecological
functions,
protected
must
be
connected
to
surroundings,
a
requirement
that
is
difficult
meet
in
landscapes
intensively
disturbed
by
anthropogenic
activities.
Therefore,
protecting
movement
corridors
at
the
edges
crucial,
especially
species
with
broad
habitat
needs,
such
as
American
marten
(
Martes
americana
).
However,
selection
and
space
use
patterns
dynamic
processes,
so
we
could
expect
functional
connectivity
would
vary
temporally
response
changing
environmental
conditions
levels
human
In
this
study,
aimed
predicting
location
Forillon
National
Park
its
periphery
during
two
contrasted
periods
(snow‐free:
May–November;
snow‐covered:
December–April).
We
used
“seasonal”
resource
functions
identify
core
(interpreted
circuit
“nodes”)
CircuitScape
delineate
between
them
based
on
electrical
theory.
Habitat
differed
periods,
martens
avoiding
open
areas,
high
elevations
road
proximity
snow‐free
period,
while
closer
secondary
roads
but
selecting
primary
housing
structures
snow‐covered
period.
Consequently,
partially
periods.
Functional
was
favored
presence
forest
patches
both
being
constrained
environments,
Our
study
highlights
importance
modeling
fine
temporal
scales
order
provide
requirements
each
period
annual
cycle.
