Promoting Equity Between the Global North and Global South in Entomological Research
Current Opinion in Insect Science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101357 - 101357
Published: March 1, 2025
Language: Английский
Testing the reproducibility of ecological studies on insect behavior in a multi-laboratory setting identifies opportunities for improving experimental rigor
PLoS Biology,
Journal Year:
2025,
Volume and Issue:
23(4), P. e3003019 - e3003019
Published: April 22, 2025
The
reproducibility
of
studies
involving
insect
species
is
an
underexplored
area
in
the
broader
discussion
about
poor
science.
Our
study
addresses
this
gap
by
conducting
a
systematic
multi-laboratory
investigation
into
ecological
on
behavior.
We
implemented
3
×
experimental
design,
incorporating
three
sites,
and
independent
experiments
from
different
orders:
turnip
sawfly
(
Athalia
rosae
,
Hymenoptera),
meadow
grasshopper
Pseudochorthippus
parallelus
Orthoptera),
red
flour
beetle
Tribolium
castaneum
Coleoptera).
Using
random-effect
meta-analysis,
we
compared
consistency
accuracy
treatment
effects
behavioral
traits
across
replicate
experiments.
successfully
reproduced
overall
statistical
effect
83%
experiments,
but
size
replication
was
achieved
only
66%
replicates.
Thus,
though
demonstrating
sufficient
some
measures,
also
provides
first
evidence
for
cases
findings
further
show
that
reasons
causing
established
rodent
research
hold
other
organisms
questions.
believe
rethinking
current
best
practices
required
to
face
issues
disciplines.
Specifically,
advocate
adopting
open
implementation
methodological
strategies
reduce
bias
problems
arising
over-standardization.
With
respect
latter,
introduction
variation
through
or
heterogenized
designs
may
contribute
improved
any
living
organisms.
Language: Английский
Bugs and bytes: Entomological biomonitoring through the integration of deep learning and molecular analysis for merged community and network analysis
Agricultural and Forest Entomology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Abstract
Insects
play
a
vital
role
in
ecosystem
functioning,
but
some
parts
of
the
world,
their
populations
have
declined
significantly
recent
decades
due
to
environmental
change,
agricultural
intensification
and
other
anthropogenic
drivers.
Monitoring
insect
is
crucial
for
understanding
mitigating
biodiversity
loss,
especially
agro‐ecosystems
where
focus
on
pests
beneficial
insects
gaining
momentum
context
sustainable
food
systems.
Biomonitoring
has
long
played
an
important
providing
early
warnings
vectored
pathogens
assessing
agro‐ecosystem
management.
However,
identification
invertebrates
by
taxonomists
time‐consuming
fraught
with
numerous
challenges,
particularly
when
it
comes
real‐time
monitoring.
Recent
technological
advances
both
computational
image
recognition
molecular
ecology
enhanced
biomonitoring
efficiency
accuracy,
reducing
labour
efforts,
leading
unprecedented
volumes
data
generated.
This
perspective
article
examines
significance
further
potential
deep
learning
image‐based
recognition,
aided
complementary
technologies,
advancing
entomological
biomonitoring.
Using
sticky
traps
as
example,
we
discuss
each
step
workflow
required
create
ecological
networks
using
multimodal
learning,
identify
challenges
inherent
this
method
survey
techniques.
In
order
become
mainstream
global
biomonitoring,
access
long‐term,
standardised
comprehending
dynamics,
structure
function
population
declines.
Language: Английский
Ethical issues in lethal insect monitoring
Current Opinion in Insect Science,
Journal Year:
2024,
Volume and Issue:
66, P. 101279 - 101279
Published: Oct. 5, 2024
Language: Английский
Advances in insect biomonitoring for agriculture and forestry: A synthesis on a multifaceted special issue of Agricultural and Forest Entomology
Agricultural and Forest Entomology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 11, 2024
12
December
2024:
This
article
published
in
Early
View
error.
The
is
under
embargo
and
will
republish
on
7
January
2025.
Language: Английский