Populations
and
ecological
communities
are
changing
worldwide,
empirical
studies
exhibit
a
mixture
of
either
declining
or
mixed
trends.
Confusion
in
global
biodiversity
trends
thus
remains
while
being
major
social,
political,
scientific
importance.
Part
this
variability
may
arise
from
the
difficulty
to
reliably
assess
Here,
we
conducted
literature
review
documenting
temporal
dynamics
biodiversity.
We
classified
differences
among
approaches,
data
methodology
used
by
reviewed
papers
reveal
common
findings
sources
discrepancies.
show
that
reviews
meta-analyses,
along
with
use
indicators,
more
likely
conclude
declining.
On
other
hand,
longer
available,
nuanced
they
generate.
Our
results
also
highlight
lack
providing
information
on
impact
synergistic
pressures
scale,
making
it
even
difficult
understand
driving
factors
observed
changes
how
decide
conservation
plan
accordingly.
Finally,
stress
importance
taking
into
account
confusion
identified,
as
well
complexity
changes,
order
implement
effective
strategies.
In
particular,
almost
systematically
assumed
be
linear,
non-linear
largely
neglected.
Clarifying
should
strengthen
large
scale
monitoring
conservation.
Ecology Letters,
Journal Year:
2022,
Volume and Issue:
25(12), P. 2753 - 2775
Published: Oct. 20, 2022
Abstract
High‐resolution
monitoring
is
fundamental
to
understand
ecosystems
dynamics
in
an
era
of
global
change
and
biodiversity
declines.
While
real‐time
automated
abiotic
components
has
been
possible
for
some
time,
biotic
components—for
example,
individual
behaviours
traits,
species
abundance
distribution—is
far
more
challenging.
Recent
technological
advancements
offer
potential
solutions
achieve
this
through:
(i)
increasingly
affordable
high‐throughput
recording
hardware,
which
can
collect
rich
multidimensional
data,
(ii)
accessible
artificial
intelligence
approaches,
extract
ecological
knowledge
from
large
datasets.
However,
automating
the
facets
communities
via
such
technologies
primarily
achieved
at
low
spatiotemporal
resolutions
within
limited
steps
workflow.
Here,
we
review
existing
data
processing
that
enable
communities.
We
then
present
novel
frameworks
combine
technologies,
forming
fully
pipelines
detect,
track,
classify
count
multiple
species,
record
behavioural
morphological
have
previously
impossible
achieve.
Based
on
these
rapidly
developing
illustrate
a
solution
one
greatest
challenges
ecology:
ability
generate
high‐resolution,
standardised
across
complex
ecologies.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: May 16, 2022
Conservation
scientists
have
proposed
several
rankings
of
the
relative
importance
global
threats
to
biodiversity.
Here,
we
argue
that
ranking
biodiversity
depends
on
local
context
and
metrics
used,
so
has
little
application
for
conservation.
Several
been
proposed.
This
Comment
argues
conservation
might
even
mislead
policymaking.
Nature,
Journal Year:
2024,
Volume and Issue:
628(8009), P. 788 - 794
Published: March 27, 2024
Abstract
Biodiversity
faces
unprecedented
threats
from
rapid
global
change
1
.
Signals
of
biodiversity
come
time-series
abundance
datasets
for
thousands
species
over
large
geographic
and
temporal
scales.
Analyses
these
have
pointed
to
varied
trends
in
abundance,
including
increases
decreases.
However,
analyses
not
fully
accounted
spatial,
phylogenetic
structures
the
data.
Here,
using
a
new
statistical
framework,
we
show
across
ten
high-profile
2–11
that
decreases
under
existing
approaches
vanish
once
are
for.
This
is
consequence
severely
underestimating
trend
uncertainty
sometimes
misestimating
direction.
Under
our
revised
average
appropriately
recognize
uncertainty,
failed
observe
single
increasing
or
decreasing
at
95%
credible
intervals
datasets.
emphasizes
how
little
known
about
vast
spatial
taxonomic
Despite
this
scales,
reveal
improved
local-scale
prediction
accuracy
by
accounting
structures.
Improved
offers
hope
estimating
policy-relevant
guiding
adaptive
conservation
responses.
npj Biodiversity,
Journal Year:
2023,
Volume and Issue:
2(1)
Published: June 1, 2023
As
we
enter
the
next
phase
of
international
policy
commitments
to
halt
biodiversity
loss
(e.g.,
Kunming-Montreal
Global
Biodiversity
Framework),
indicators
will
play
an
important
role
in
forming
robust
basis
upon
which
targeted,
and
time
sensitive
conservation
actions
are
developed.
Population
trend
one
most
powerful
tools
monitoring
due
their
responsiveness
changes
over
short
timescales
ability
aggregate
species
trends
from
global
down
sub-national
or
even
local
scale.
We
consider
how
project
behind
foremost
population
level
-
Living
Planet
Index
has
evolved
last
25
years,
its
value
field
monitoring,
components
have
portrayed
a
compelling
account
changing
status
through
application
at
policy,
research
practice
levels.
explore
ways
can
develop
enhance
our
understanding
state
share
lessons
learned
inform
indicator
development
mobilise
action.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2025,
Volume and Issue:
380(1917)
Published: Jan. 9, 2025
The
Living
Planet
Index
(LPI)
is
a
leading
global
biodiversity
indicator
based
on
vertebrate
population
time
series.
Since
it
was
first
developed
over
25
years
ago,
the
LPI
has
been
widely
used
to
indicate
trends
in
globally,
primarily
reported
every
two
Report.
Based
relative
abundance,
sensitive
metric
of
change,
also
applied
as
tool
for
informing
policy
and
assessments
several
multilateral
conventions
agreements,
including
Convention
Biological
Diversity
2010
Biodiversity
Target
Aichi
targets.
Here,
we
outline
all
current
some
potential
uses
explore
use
documents
assess
reach
geographically
time.
We
present
limitations
this
policy,
relating
development
index
at
national
level,
suggest
clear
pathways
broaden
utility
underlying
database
temporal
spatial
predictions
change.
provide
evidence
that
can
detect
recoveries
its
suitability
measuring
progress
towards
goal
recovery
by
2050.
This
article
part
discussion
meeting
issue
‘Bending
curve
nature
recovery:
building
Georgina
Mace's
legacy
biodiverse
future’.
Methods in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
14(5), P. 1150 - 1167
Published: March 21, 2023
Abstract
The
insurance
effect
of
biodiversity—that
diversity
stabilises
aggregate
ecosystem
properties—is
mechanistically
underlain
by
inter‐
and
intraspecific
trait
variation
in
organismal
responses
to
the
environment.
This
variation,
termed
response
,
is
therefore
a
potentially
critical
determinant
ecological
stability.
However,
has
yet
be
widely
quantified,
possibly
due
difficulties
its
measurement.
Even
when
it
been
measured,
approaches
have
varied.
Here,
we
review
methods
for
measuring
from
them
distil
methodological
framework
quantifying
experimental
and/or
observational
data,
which
can
practically
applied
laboratory
field
settings
across
range
taxa.
Previous
empirical
studies
on
most
commonly
invoke
traits
as
proxies
aimed
at
capturing
species'
Our
approach,
based
environment‐dependent
any
biotic
or
abiotic
environmental
variable,
conceptually
simple
robust
form
response,
including
nonlinear
responses.
Given
derivation
data
responses,
this
approach
should
more
directly
reflect
than
trait‐based
dominant
literature.
By
even
subtle
environment
dependencies
diversity,
hope
will
motivate
tests
diversity–stability
relationship
new
perspective,
provide
an
mapping,
monitoring
conserving
dimension
biodiversity.
Oikos,
Journal Year:
2024,
Volume and Issue:
2024(6)
Published: April 12, 2024
Populations
and
ecological
communities
are
changing
worldwide,
empirical
studies
exhibit
a
mixture
of
either
declining
or
mixed
trends.
Confusion
in
global
biodiversity
trends
thus
remains,
while
assessing
such
changes
is
major
social,
political,
scientific
importance.
Part
this
variability
may
arise
from
the
difficulty
to
reliably
assess
Here,
we
conducted
literature
review
documenting
temporal
dynamics
biodiversity.
We
classified
differences
among
approaches,
data,
methodology
used
by
reviewed
papers
reveal
common
findings
sources
discrepancies.
show
that
reviews
meta‐analyses,
along
with
use
indicators,
more
likely
conclude
declining.
On
other
hand,
longer
data
available,
nuanced
they
generate.
Our
results
also
highlight
lack
providing
information
on
impact
synergistic
pressures
scale,
making
it
even
difficult
understand
driving
factors
observed
how
decide
conservation
plan
accordingly.
Finally,
stress
importance
taking
into
account
confusion
identified,
as
well
complexity
changes,
order
implement
effective
strategies.
In
particular,
almost
systematically
assumed
be
linear,
non‐linear
largely
neglected.
Clarifying
should
strengthen
large‐scale
monitoring
conservation.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Abstract
Anthropogenic
threats
are
reshaping
Earth’s
biodiversity
at
an
unprecedented
rate
and
scale
1–3
.
Conservation
policies
often
prioritise
like
habitat
loss
exploitation
based
on
their
global
prevalence.
However,
these
assessments
rarely
quantify
the
impacts
of
individual
or
interacting
threats,
potential
masking
true
effects
Anthropocene
4–6
Here,
we
quantitatively
analyse
trends
3,129
vertebrate
populations
worldwide
with
documented
exposure
to
specific
multiple
threats.
Populations
impacted
solely
by
exploitation,
most
prevalent
do
not
show
fastest
declines.
Rather,
exposed
disease,
invasive
species,
pollution,
climate
change
decline
more
rapidly.
–
along
act
as
additive
interactive
amplifying
population
Notably,
contribute
declines,
than
temporal
spatial
sources
variation.
Finally,
counterfactual
scenarios
that
achieve
non-negative
trends,
need
mitigate
These
findings
underscore
urgency
addressing
compounding
halt
suggest
local-scale
may
be
severe
previously
recognized.