Journal of Applied Ecology,
Год журнала:
2024,
Номер
61(12), С. 2997 - 3006
Опубликована: Окт. 7, 2024
Abstract
Active
restoration
often
aims
to
accelerate
ecosystem
recovery.
However,
active
may
not
be
worthwhile
if
its
effects
are
overwhelmed
by
changes
that
occur
passively.
Moreover,
it
can
challenging
separate
the
of
passive
processes,
such
as
dispersal
and
natural
succession,
from
efforts.
We
assess
24‐year
impact
actively
restoring
a
Minnesota
old‐field
grassland
via
seed
addition
native
tallgrass
prairie
species.
compared
abundance
four
functional
plant
groups
in
restored
plots
against
abundances
three
reference
classes:
(1)
unrestored
undergoing
recovery
within
same
old
field,
(2)
passively
recovering
two
nearby
fields
similar
age
(3)
chronosequence
21
landscape.
led
higher
grasses
forbs
36
m
2
treatment
plots.
Seed
was
more
effective
original
vegetation
first
removed
using
herbicide,
burning
tilling.
long‐term
conclusions
about
efficacy
varied
widely
depending
on
choice
class.
In
our
small‐scale
experiment,
similarly
high
both
after
24
years,
suggesting
either
or
local
species
(i.e.
cross‐contamination).
contrast,
comparison
with
suggested
resulted
much
relative
A
smaller,
positive
effect
detected
when
we
fields.
chronosequence,
many
had
transitioned
grass
dominance
naturally,
although
appeared
increase
forb
abundance.
Synthesis
applications
:
Our
findings
highlight
importance
scale‐appropriate
references
for
assessing
need
restoration.
Comparing
surrounding
landscape,
found
communities
years.
Because
sites
references,
caution
should
exercised
evaluating
projects
only
experiments.
Although
species
are
being
lost
at
alarming
rates,
previous
research
has
provided
conflicting
results
on
the
extent
and
even
direction
of
global
biodiversity
change
local
scale.
Here,
we
assessed
ability
to
detect
trends
using
richness
how
it
is
affected
by
number
monitoring
sites,
sampling
interval
(i.e.
time
between
original
survey
re‐survey
site),
measurement
error
(error
richness),
spatial
grain
(a
proxy
for
taxa
mobility)
biases
site‐selection
biases).
We
use
PREDICTS
model‐based
estimates
as
a
real‐world
distribution
randomly
selected
sites
calculate
trends.
found
that
while
network
with
hundreds
could
in
within
30‐year
period,
detecting
doubled
decade,
increased
10‐fold
three
years
yearly
were
undetectable.
Measurement
errors
had
non‐linear
effect
statistical
power,
1%
reducing
power
slight
margin
5%
drastically
reliably
any
trend.
The
was
also
related
grain,
making
harder
sampled
smaller
plot
sizes.
Spatial
not
only
reduced
negative
but
sometimes
yielded
positive
conclude
accurate
may
simply
be
unfeasible
current
approaches.
suggest
representative
implemented
national
level,
combined
models
accounting
biases,
can
help
improve
our
understanding
change.
Abstract
Biodiversity
credits
are
increasingly
being
promoted
as
an
innovative
tool
for
closing
the
biodiversity
finance
gap.
A
growing
number
of
providers
offering
credits,
either
linked
to
carbon
or
a
new
asset
class
in
their
own
right.
However,
there
also
warnings
that
they
could
become
double-edged
sword
conservation
and
distract
governments
from
financial
responsibilities
agreed
Global
Framework.
differ
other
environmental
policy
instruments
offer
non-offsetting
way
financing
restoration
activities.
Well-designed
credit
schemes
can
therefore
make
significant
contribution
real
net
gains.
But
realize
full
potential,
need
be
based
on
common
methodology,
broaden
focus
include
marine
areas,
respect
rights
local
Indigenous
communities.
Benefit
sharing
embedding
regulatory
approaches
will
critical
success.
Remote Sensing in Ecology and Conservation,
Год журнала:
2024,
Номер
10(4), С. 517 - 530
Опубликована: Фев. 25, 2024
Abstract
Passive
acoustic
monitoring
(PAM)
has
gained
increasing
popularity
to
study
behaviour,
habitat
preferences,
distribution
and
community
assembly
of
birds
other
animals.
Automated
species
classification
algorithms
like
‘BirdNET’
are
capable
detecting
classifying
avian
vocalizations
within
extensive
audio
data,
covering
entire
assemblages.
PAM
reveals
substantial
potential
for
biodiversity
that
informs
evidence‐based
conservation.
Nevertheless,
fully
realizing
this
remains
challenging,
especially
due
the
issue
false‐positive
detections.
Here,
we
introduce
an
optimized
thresholding
framework,
which
incorporates
contextual
information
extracted
from
time‐series
automated
detections
(i.e.
covariates
on
quality
quantity
species'
measured
at
varying
time
intervals)
improve
differentiation
true
false
positives.
We
verified
a
sample
BirdNET
per
modelled
species‐specific
thresholds
using
conditional
inference
trees.
These
were
designed
minimize
while
maximizing
preservation
positives
in
dataset.
tested
framework
large
dataset
(5760
h
60
sites)
recorded
over
breeding
season.
Our
results
revealed
considerable
interspecific
variability
precision
(percentage
positives)
raw
data.
approach
achieved
high
(≥0.9)
70%
61
detected
species,
solely
relying
confidence
scores
only
31%
species.
Conservative
universal
(not
species‐specific)
reached
48%
outperformed
previous
approaches
enhanced
comparability
bird
analyses.
By
incorporating
detections,
was
substantially
improved.
may
enhance
straightforward
application
research,
landscape
planning
Molecular Ecology,
Год журнала:
2024,
Номер
33(19)
Опубликована: Сен. 16, 2024
Abstract
Biodiversity
loss
has
reached
critical
levels
partly
due
to
anthropogenic
habitat
and
degradation.
These
landscape
changes
are
damaging
as
they
can
fragment
species
distributions
into
small,
isolated
populations,
resulting
in
limited
gene
flow,
population
declines
reduced
adaptive
potential.
Genetic
rescue,
the
translocation
of
individuals
increase
genetic
diversity
ultimately
fitness,
produced
promising
results
for
fragmented
populations
but
remains
underutilized
a
lack
long‐term
data
monitoring.
To
promote
better
understanding
rescue
its
potential
risks
benefits
over
short‐term,
we
reviewed
analysed
published
attempts
identify
whether
increases
following
translocation,
if
this
change
is
associated
with
increased
fitness.
Our
review
identified
19
studies
that
provided
fitness
from
before
after
translocation;
majority
these
were
on
mammals,
included
experimental,
natural
conservation‐motivated
translocations.
Using
Bayesian
meta‐analytical
approach,
found
average,
post
translocations,
although
there
some
exceptions
trend.
Overall,
was
positive
predictor
cases
relationship
extended
three
generations
post‐rescue.
suggest
single
have
lasting
benefits,
support
another
tool
facilitate
conservation
success.
Given
number
data,
echo
need
monitoring
post‐translocation
understand
also
limit
long‐term.
Bioavailable
strontium
isotope
ratios
(
87
Sr/
86
Sr)
distribution
across
the
landscape
mainly
follow
underlying
lithology,
making
Sr
baseline
maps
(isoscapes)
powerful
tools
for
provenance
studies.
has
already
been
used
in
Eastern
Canada
(EC)
to
track
food
and
human
remains
origins,
or
reconstruct
animal
mobility.
While
bioavailable
isoscapes
EC
can
be
extrapolated
from
global
datasets
using
random
forest
modelling
(RF),
no
regionally
calibrated
isoscape
exists.
Here,
we
produce
a
by
analysing
plants
collected
at
136
sites
EC,
incorporating
updated
geological
variables
applying
novel
ensemble
machine
learning
(EML)
framework.
We
generated
compared
traditional
RF
EML
approaches.
Adding
local
dataset
significantly
improved
model
prediction
with
drastic
increase
of
predicted
increased
spatial
uncertainty
northern
Canadian
craton.
produced
similar
predictions
but
tighter
distribution.
Regionally
outperformed
isoscape,
confirming
requirement
collecting
data
data-poor
regions.
This
provides
monitor
manage
movements
agricultural
products,
natural
resources,
endangered/harmful
migratory
species,
archaeological
artifacts.