Evolutionary Applications,
Год журнала:
2025,
Номер
18(5)
Опубликована: Май 1, 2025
ABSTRACT
Genetic
rescue
is
a
conservation
management
strategy
that
reduces
the
negative
effects
of
genetic
drift
and
inbreeding
in
small
isolated
populations.
However,
such
populations
might
already
be
vulnerable
to
random
fluctuations
growth
rates
(demographic
stochasticity).
Therefore,
success
depends
not
only
on
composition
source
target
but
also
emergent
outcome
interacting
demographic
processes
other
stochastic
events.
Developing
predictive
models
account
for
feedback
between
(‘demo‐genetic
feedback’)
therefore
necessary
guide
implementation
minimize
risk
extinction
threatened
Here,
we
explain
how
mutual
reinforcement
drift,
inbreeding,
stochasticity
increases
We
then
describe
these
can
modelled
by
parameterizing
underlying
mechanisms,
including
deleterious
mutations
with
partial
dominance
variances
increase
as
abundance
declines.
combine
our
suggestions
model
parameterization
comparison
relevant
capability
flexibility
five
open‐source
programs
designed
building
genetically
explicit,
individual‐based
simulations.
Using
one
programs,
provide
heuristic
demonstrate
simulated
delay
virtual
would
otherwise
exposed
greater
due
demo‐genetic
feedback.
use
case
study
Australian
marsupials
published
data
used
or
all
stages
development
application,
parameterization,
calibration,
validation.
highlight
either
empirical
sequence
variation
(or
hybrid
approach)
suggest
model‐based
decision‐making
should
informed
ranking
sensitivity
predicted
probability/time
parameters
(e.g.,
translocation
size,
frequency,
populations)
among
different
genetic‐rescue
scenarios.
ABSTRACT
Rapid
advancements
in
remote
sensing
increasingly
allow
assessing
vegetation
at
the
landscape,
local
and
individual
scales.
This
systematic
review
investigates
diverse
applications
of
for
eucalypt
forests
woodlands
within
Australia.
Of
137
studies
included
review,
two‐thirds
investigated
conditions,
including
effects
dieback
fire,
with
remaining
articles
focusing
on
classification
structural
properties.
focus
conditions
highlights
potential
to
contribute
monitoring
conservation
biodiversity,
suggesting
that
will
become
more
important
as
impacts
climate
change
intensify.
Currently,
application
methods
investigating
remains
underutilised.
For
example,
regions,
areas
high
are
generally
poorly
studied,
highlighting
major
gaps
spatial
coverage.
Furthermore,
study
locations
often
reported
insufficient
detail
facilitate
independent
verification
reproducibility,
reducing
usefulness
existing
studies.
A
key
challenge
is
identification
an
appropriate
approach
based
research
question
resources
available
we
provide
guidance
that.
Reviewed
predominantly
used
freely
imagery
(e.g.,
Landsat
Sentinel),
whilst
high‐resolution
commercial
WorldView)
research‐accessible
datasets
PlanetScope)
remain
little
utilised.
Emerging
technologies
like
LiDAR,
UAVs
hyperspectral
imaging
could
insights
higher
resolutions
require
greater
data
collection
processing
yet
be
widely
integrated
into
assessment.
To
address
these
challenges,
interdisciplinary
collaboration
among
specialists,
a
framework
selecting
resources,
critical.
Such
efforts
would
help
align
objectives
tools
crucial
achieving
biodiversity
adaptation
goals
Australia
beyond.
Remote Sensing,
Год журнала:
2025,
Номер
17(10), С. 1685 - 1685
Опубликована: Май 10, 2025
The
complex
interaction
between
nature
and
human
factors
has
led
to
frequent
forest
fires,
but
their
combined
effects
in
different
areas
remain
unclear.
Taking
the
Northeast
China
as
study
area,
this
integrates
structural
equation
modeling
(SEM)
Vine
Copula
analysis
quantify
these
drivers
over
2001–2022.
Results
show
that
70.42%
of
fires
were
caused
by
humans,
clustering
populated
low-elevation
areas.
SEM
revealed
partial
correlations
0.48
(weather
conditions)
0.59
(human
activities)
with
fire
frequency;
canopy
moisture
was
negatively
correlated
(−0.38).
indicated
a
joint
probability
0.32
footprint
index
(HFI)
under
high
temperatures.
This
can
provide
framework
for
region-specific
management
temperate
forests
combining
various
influences.
Evolutionary Applications,
Год журнала:
2025,
Номер
18(5)
Опубликована: Май 1, 2025
ABSTRACT
Genetic
rescue
is
a
conservation
management
strategy
that
reduces
the
negative
effects
of
genetic
drift
and
inbreeding
in
small
isolated
populations.
However,
such
populations
might
already
be
vulnerable
to
random
fluctuations
growth
rates
(demographic
stochasticity).
Therefore,
success
depends
not
only
on
composition
source
target
but
also
emergent
outcome
interacting
demographic
processes
other
stochastic
events.
Developing
predictive
models
account
for
feedback
between
(‘demo‐genetic
feedback’)
therefore
necessary
guide
implementation
minimize
risk
extinction
threatened
Here,
we
explain
how
mutual
reinforcement
drift,
inbreeding,
stochasticity
increases
We
then
describe
these
can
modelled
by
parameterizing
underlying
mechanisms,
including
deleterious
mutations
with
partial
dominance
variances
increase
as
abundance
declines.
combine
our
suggestions
model
parameterization
comparison
relevant
capability
flexibility
five
open‐source
programs
designed
building
genetically
explicit,
individual‐based
simulations.
Using
one
programs,
provide
heuristic
demonstrate
simulated
delay
virtual
would
otherwise
exposed
greater
due
demo‐genetic
feedback.
use
case
study
Australian
marsupials
published
data
used
or
all
stages
development
application,
parameterization,
calibration,
validation.
highlight
either
empirical
sequence
variation
(or
hybrid
approach)
suggest
model‐based
decision‐making
should
informed
ranking
sensitivity
predicted
probability/time
parameters
(e.g.,
translocation
size,
frequency,
populations)
among
different
genetic‐rescue
scenarios.
