PLoS Biology,
Год журнала:
2022,
Номер
20(11), С. e3001809 - e3001809
Опубликована: Ноя. 22, 2022
This
Formal
Comment
uses
re-analysis
after
appropriate
corrections
to
claim
that
the
extreme
decline
effect
reported
by
Clements
et
al.
is
a
statistical
artefact
caused
way
they
corrected
for
zeros
in
percentage
data,
exacerbated
errors
data
compilation,
selective
inclusions
and
missing
studies
with
strong
effects.
Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2023,
Номер
378(1892)
Опубликована: Окт. 29, 2023
Although
much
evidence
exists
showing
organismal
consequences
from
artificial
light
at
night
(ALAN),
large
knowledge
gaps
remain
regarding
ALAN
affecting
species
interactions.
Species
interactions
occur
via
shared
spatio-temporal
niches
among
species,
which
may
be
determined
by
natural
levels.
We
review
how
is
altering
these
through
expanding
twilight
or
full
Moon
conditions
and
constricting
nocturnal
as
well
creating
patches
of
bright
dark.
literature
a
database
to
determine
if
dynamics.
The
indicates
growing
interest
in
interactions:
58%
the
studies
we
analysed
have
been
published
since
2020.
Seventy-five
79
found
altered
Enhancements
reductions
were
equally
documented.
Many
revealed
spatially,
but
few
temporal
alterations.
There
are
biases
ALAN-most
investigated
predator-prey
with
vertebrates
predators
invertebrates
prey.
Following
this
review,
suggest
avenues,
such
remote
sensing
animal
tracking,
that
can
guide
future
research
on
across
spatial
axes.
This
article
part
theme
issue
'Light
pollution
complex
ecological
systems'.
Collaborative
assessments
of
direct
replicability
empirical
studies
in
the
medical
and
social
sciences
have
exposed
alarmingly
low
rates
replicability,
a
phenomenon
dubbed
‘replication
crisis’.
Poor
has
spurred
cultural
changes
targeted
at
improving
reliability
these
disciplines.
Given
absence
equivalent
replication
projects
ecology
evolutionary
biology,
two
inter-related
indicators
offer
us
possibility
to
retrospectively
assess
replicability:
publication
bias
statistical
power.
This
registered
report
assesses
prevalence
severity
small-study
(i.e.,
smaller
reporting
larger
effect
sizes)
decline
effects
sizes
decreasing
over
time)
across
biology
using
87
meta-analyses
including
4,250
primary
17,638
sizes.
Further,
we
estimate
how
might
distort
estimation
sizes,
power,
errors
magnitude
(Type
M
or
exaggeration
ratio)
sign
S).
We
show
strong
evidence
for
pervasiveness
both
evolution.
There
was
widespread
that
resulted
meta-analytic
means
being
over-estimated
by
(at
least)
0.12
standard
deviations.
The
distorted
confidence
results
with
66%
initially
statistically
significant
becoming
non-significant
after
correcting
bias.
Ecological
consistently
had
power
(15%)
4-fold
on
average
error
=
4.4).
Notably,
aggravates
(from
23%
15%)
type
2.7
4.4)
because
it
creates
non-random
sample
size
evidence.
S
error)
increased
from
5%
8%
Our
research
provides
clear
many
published
ecological
findings
are
inflated.
highlight
importance
designing
high-power
(e.g.,
via
collaborative
team
science),
promoting
encouraging
studies,
testing
meta-analyses,
embracing
open
transparent
practices,
such
as
(pre)registration,
data-
code-sharing,
reporting.
PLoS Biology,
Год журнала:
2022,
Номер
20(11), С. e3001809 - e3001809
Опубликована: Ноя. 22, 2022
This
Formal
Comment
uses
re-analysis
after
appropriate
corrections
to
claim
that
the
extreme
decline
effect
reported
by
Clements
et
al.
is
a
statistical
artefact
caused
way
they
corrected
for
zeros
in
percentage
data,
exacerbated
errors
data
compilation,
selective
inclusions
and
missing
studies
with
strong
effects.