Restoration Ecology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 30, 2024
Forest
landscape
restoration
(FLR)
is
purported
to
achieve
socio‐ecological
outcomes
in
addressing
the
interlinked
crises
of
deforestation
and
land
degradation,
biodiversity
loss,
climate
change.
While
several
instruments
exist
substantiate
progress
toward
such
effectiveness
FLR
interventions,
various
challenges
hinder
monitoring.
This
study
uses
a
proposed
analytical
framework
that
articulates
elements
monitoring
feasibility
examine
realistic
application
convenience
instruments,
focusing
on
Africa,
where
continental‐level
flagships
are
scaling
up
actions.
We
applied
critical
content
analysis
guided
by
our
lens
secondary
data
collected
from
top‐down
bottom‐up
instruments.
A
survey
was
also
used
explore
level
knowledge
identify
tools
guiding
frameworks
practitioners,
which
we
analyze
using
descriptive
statistics.
Our
reveals
34
indicators
spanning
biophysical,
socio‐economic,
institutional
realms,
along
with
196
related
metrics.
The
strong
emphasis
biophysical
metrics
relative
socio‐economic
ones
reflects
unbalanced
attention
sustainability
dimensions.
identified
39
indicates
most
require
essential
(super)infrastructural
capacities,
appropriate
knowledge,
tailored
skills
for
their
effective
use.
Confirming
this,
low
awareness
use
these
three
cited
limiting
reasons
being
inadequate
funding,
infrastructure
deficits,
technical
expertise.
Overall,
results
reaffirm
need
pragmatic,
low‐cost,
accessible
advance
offer
actionable
suggestions
some
challenges.
Ecography,
Journal Year:
2023,
Volume and Issue:
2023(3)
Published: Feb. 9, 2023
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.
Remote Sensing in Ecology and Conservation,
Journal Year:
2024,
Volume and Issue:
10(4), P. 517 - 530
Published: Feb. 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,
Journal Year:
2024,
Volume and Issue:
33(19)
Published: Sept. 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.
FACETS,
Journal Year:
2025,
Volume and Issue:
10, P. 1 - 17
Published: Jan. 1, 2025
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.
BioScience,
Journal Year:
2024,
Volume and Issue:
74(8), P. 552 - 560
Published: April 25, 2024
Abstract
The
high
demand
for
information
on
how
coral
reefs
are
changing
often
exceeds
the
capacity
of
scientific
community
to
deliver
data
necessary
meet
this
need.
However,
given
degraded
state
and
poor
prognosis
their
recovery,
it
is
reasonable
ask
whether
reef
monitoring
should
continue.
Using
my
experiences
from
a
37-year
study
in
US
Virgin
Islands,
I
highlight
that
conveys
reefs,
underscore
interpretation
ecological
trends
matures
with
increasing
longevity
records.
Because
past
an
imperfect
predictor
future,
remains
important
endeavor.
It
offers
only
opportunity
understand
will
continue
change,
connect
patterns
change
processes
causing
them
occur,
create
opportunities
management
best
ensure
future.