Insects
are
the
most
diverse
animal
taxon
on
Earth
and
play
a
key
role
in
ecosystem
functioning.
However,
they
often
neglected
from
biodiversity
surveys
due
to
difficulties
of
monitoring
this
small
hyper-diverse
taxon.
With
technological
advancements
biomonitoring
analytical
methods,
these
shortcomings
may
finally
be
addressed.
Here,
we
performed
passive
acoustic
at
141
sites
(eight
habitats)
Amazon
advance
insect
using
methods.
We
first
describe
frequency
range
occupied
by
three
soniferous
groups
(cicadas,
crickets,
katydids)
calculate
Acoustic
Evenness
Index
(AEI).
Then,
assess
temporal
spatial
variations
AEI
among
categories,
investigate
relationship
vegetation
structure
variables
for
each
category.
Overall,
crickets
lower
narrower
bands
than
cicadas
katydids.
values
varied
categories
across
space
time.
There
was
higher
activity
before
sunrise
recorded
pastures.
Canopy
cover
positively
associated
with
crickets'
but
not
Our
findings
contribute
better
understanding
time,
habitat,
shaping
within
Amazonian
ecosystem.
Methods in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
14(9), P. 2192 - 2204
Published: Aug. 10, 2023
Abstract
The
rise
of
passive
acoustic
monitoring
and
the
rapid
growth
in
large
audio
datasets
is
driving
development
analysis
methods
that
allow
ecological
inferences
to
be
drawn
from
data.
Acoustic
indices
are
currently
one
most
widely
applied
tools
ecoacoustics.
These
numerical
summaries
sound
energy
contained
digital
recordings
relatively
straightforward
fast
calculate
but
can
challenging
interpret.
Misapplication
misinterpretation
have
produced
conflicting
results
led
some
question
their
value.
To
encourage
better
use
indices,
we
provide
nine
points
guidance
support
good
study
design,
interpretation.
We
offer
practical
recommendations
for
both
whole
soundscapes
individual
taxa
species,
point
emerging
trends
ecoacoustic
analysis.
In
particular,
highlight
critical
importance
understanding
links
between
soundscape
patterns
indices.
insights
into
state
organisms,
populations,
ecosystems,
complementing
other
research
techniques.
Judicious
selection,
appropriate
application
thorough
interpretation
existing
vital
bolster
robust
developments
ecoacoustics
biodiversity
monitoring,
conservation
future
research.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Oct. 17, 2023
Tropical
forest
recovery
is
fundamental
to
addressing
the
intertwined
climate
and
biodiversity
loss
crises.
While
regenerating
trees
sequester
carbon
relatively
quickly,
pace
of
remains
contentious.
Here,
we
use
bioacoustics
metabarcoding
measure
post-agriculture
in
a
global
hotspot
Ecuador.
We
show
that
community
composition,
not
species
richness,
vocalizing
vertebrates
identified
by
experts
reflects
restoration
gradient.
Two
automated
measures
-
an
acoustic
index
model
bird
composition
derived
from
independently
developed
Convolutional
Neural
Network
correlated
well
with
(adj-R²
=
0.62
0.69,
respectively).
Importantly,
both
reflected
non-vocalizing
nocturnal
insects
via
metabarcoding.
such
monitoring
tools,
based
on
new
technologies,
can
effectively
monitor
success
recovery,
using
robust
reproducible
data.
Methods in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 28, 2024
Abstract
Ecoacoustics,
the
study
of
environmental
sound,
is
a
rapidly
growing
discipline
offering
ecological
insights
at
scales
ranging
from
individual
organisms
to
whole
ecosystems.
Substantial
methodological
developments
over
last
15
years
have
streamlined
extraction
information
audio
recordings.
One
widely
used
set
methods
are
acoustic
indices,
which
offer
numerical
summaries
spectral,
temporal
and
amplitude
patterns
in
Currently,
specifics
each
index's
background,
methodology
soundscape
they
designed
summarise,
spread
across
multiple
sources.
Critically,
details
index
calculation
sometimes
scarce,
making
it
challenging
for
users
understand
how
values
generated.
Discrepancies
understanding
can
lead
misuse
indices
or
reporting
spurious
results.
This
hinders
inference,
replicability
discourages
adoption
these
tools
conservation
ecosystem
monitoring,
where
might
otherwise
provide
useful
insight.
Here
we
present
Acoustic
Index
User's
Guide—an
interactive
RShiny
web
app
that
defines
deconstructs
eight
most
commonly
facilitate
consistent
application
discipline.
We
break
calculations
down
into
easy‐to‐follow
steps
better
enable
practical
critical
interpretation
indices.
demonstrate
typical
using
suite
91
example
recordings:
66
real‐world
soundscapes
terrestrial,
aquatic
subterranean
systems
around
world,
25
synthetic
files
demonstrating
archetypal
patterns.
Our
figures
signpost
specific
likely
be
reflected
indices'
values.
living
resource;
additional
will
added
future
through
collaboration
with
authors
pre‐existing
new
The
also
serves
as
best‐practice
template
required
when
publishing
so
widest
possible
uptake
their
In
turn,
improved
aid
effective
hypothesis
generation,
research,
monitoring
management.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
379(1904)
Published: May 5, 2024
Insects
are
the
most
diverse
animal
taxon
on
Earth
and
play
a
key
role
in
ecosystem
functioning.
However,
they
often
neglected
by
ecological
surveys
owing
to
difficulties
involved
monitoring
this
small
hyper-diverse
taxon.
With
technological
advances
biomonitoring
analytical
methods,
these
shortcomings
may
finally
be
addressed.
Here,
we
performed
passive
acoustic
at
141
sites
(eight
habitats)
investigate
insect
activity
Viruá
National
Park,
Brazil.
We
first
describe
frequency
range
occupied
three
soniferous
groups
(cicadas,
crickets
katydids)
calculate
evenness
index
(AEI).
Then,
assess
how
AEI
varies
spatially
temporally
among
habitat
types,
relationship
between
vegetation
structure
variables
for
each
category.
Overall,
lower
narrower
bands
than
cicadas
katydids.
values
varied
categories
across
space
time.
The
highest
occurred
before
sunrise
lowest
was
recorded
pastures.
Canopy
cover
positively
associated
with
cricket
but
not
Our
findings
contribute
better
understanding
of
time,
shaping
within
Amazonian
ecosystems.
This
article
is
part
theme
issue
‘Towards
toolkit
global
biodiversity
monitoring’.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111775 - 111775
Published: Feb. 28, 2024
Urban-natural
environments,
proximal
to
rapidly
urbanizing
cities,
provide
essential
ecosystem
functions
that
benefit
both
city
residents
and
ecological
communities.
With
escalating
urbanization,
the
resilience
of
these
ecosystems
is
being
progressively
challenged,
highlighting
need
for
robust
monitoring
mechanisms.
Acoustic
has
emerged
as
an
unobtrusive
method
evaluate
status
capitalizing
on
indicators
reflect
landscape
features
specific
acoustic
events.
Despite
potentially
offering
significant
insights,
this
approach
generates
a
large
volume
data,
introducing
complexities
in
subsequent
analyses.
To
mitigate
this,
we
propose
integrating
artificial
neural
networks
with
indices
enhance
data
analysis.
Our
emphasizes
usefulness
short-time
indices,
computed
over
finite-duration
analysis
windows,
polyphonic
sound
event
detection
accuracy.
Empirical
results
support
performance
our
approach,
registering
F1-Score
error
rate
0.614.
Overall,
study
delineates
novel
paradigm
geared
towards
enhancing
or
preserving
biological
diversity
urban-natural
environments
areas
population
growth
urban
development.