A
recent
theme
issue
of
*Phil
Trans
B*
addressed
the
multifaceted
problems
tracking
biodiversity
change
to
meet
emerging
international
development
goals,
national
economic
accounting,
and
diverse
community
interests.
The
results
place
science
in
context
policy
needs,
provide
an
updated
roadmap
for
how
acquire,
process,
use
observation
data
a
changing
world.
In
this
seminar,
several
authors
will
speak
about
their
work.
Theory
application
improved
species
richness
estimator
Species
is
essential
variable
indicative
ecosystem
states
rates
invasion,
speciation
extinction
both
contemporarily
fossil
records.
However,
limited
sampling
effort
spatial
aggregation
organisms
mean
that
surveys
rarely
observe
every
survey
area.
Here
we
present
non-parametric,
asymptotic
bias-minimized
estimator,
Ω
by
modelling
abundance
characteristics
affect
richness.
Improved
estimators
are
critical
when
absolute
difference
detection
important.
We
conduct
simulation
tests
applied
tree
census
seaweed
survey.
consistently
outperforms
other
balancing
bias,
precision
accuracy.
small
poor
with
any
estimator.
An
R-package,
Richness,
performs
proposed
estimations
along
bootstrapped
precisions.
Our
explain
natural
observer-induced
variations
observation,
these
factors
can
be
used
correct
observed
using
on
variety
data,
why
further
improvements
assessments.
framework
attribution
causes
great
scientific
interest
central
efforts
aimed
at
meeting
targets.
Changes
diversity
high
compositional
turnover
have
been
reported
worldwide.
many
cases,
trends
detected,
but
causally
attributed
possible
drivers.
formal
guidelines
needed.
propose
inferential
guide
analyses,
which
identifies
five
steps—causal
modelling,
estimation,
attribution—for
robust
attribution.
This
workflow
provides
evidence
relation
hypothesized
impacts
multiple
potential
drivers
eliminate
putative
from
contention.
encourages
reproducible
statement
confidence
role
after
methods
trend
deployed.
Confidence
requires
analyses
all
steps
follow
best
practices
reducing
uncertainty
each
step.
illustrate
examples.
could
strengthen
bridge
between
support
effective
actions
halt
loss
has
ecosystems.
Camera
trapping
expands
view
into
global
its
Growing
threats
demand
timely,
detailed
information
occurrence,
large
scales.
traps
(CTs),
combined
computer
vision
models,
efficient
method
certain
taxa
spatio-temporal
resolution.
test
CTs
close
knowledge
gaps
comparing
CT
records
terrestrial
mammals
birds
recently
released
Wildlife
Insights
platform
publicly
available
occurrences
types
Global
Biodiversity
Information
Facility.
locations
CTs,
found
they
sampled
greater
number
days
(mean
=
133
versus
57
days)
documented
additional
increase
1%
expected
mammals).
For
provided
novel
documentation
ranges
(93%
48%
birds).
Countries
largest
boost
coverage
were
historically
underrepresented
southern
hemisphere.
Although
embargoes
providers'
willingness
share
cause
lag
availability.
work
shows
continued
collection
mobilization
especially
sharing
supports
privacy,
offer
lens
biodiversity.
Monitoring
fabric
nature:
allometric
trophic
network
models
observations
assess
effects
underpins
services
life.
Despite
recognition
advances
detecting
biodiversity,
exactly
co-occur
interact,
directly
or
indirectly
unknown.
accounts
incomplete;
taxonomically,
size,
habitat,
mobility
rarity
biased.
ocean,
provisioning
fish,
invertebrates
algae
fundamental
service.
extracted
biomass
depends
myriad
microscopic
macroscopic
make
up
nature
affected
management
actions.
them
attributing
changes
policies
daunting.
dynamic
quantitative
interactions
link
compliance
complex
ecological
networks.
allows
managers
qualitatively
identify
‘interaction-indicator’
species,
highly
impacted
through
propagation
interactions.
ground
approach
intertidal
kelp
harvesting
Chile
fishers'
policies.
Results
allow
us
sets
respond
and/or
compliance,
often
not
included
standardized
monitoring.
aids
design
programmes
attempt
connect
change.
Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2024,
Номер
379(1902)
Опубликована: Апрель 7, 2024
Species
respond
dynamically
to
climate
change
and
exhibit
time
lags.
Consequently,
species
may
not
occupy
their
full
climatic
niche
during
range
shifting.
Here,
we
assessed
tracking
recent
shifts
of
European
United
States
(US)
birds.
Using
data
from
two
bird
atlases
the
North
American
Breeding
Bird
Survey
between
1980s
2010s,
analysed
overlap
based
on
kernel
density
estimation.
Phylogenetic
multiple
regression
was
used
assess
effect
morphological,
ecological
biogeographic
traits
metrics.
birds
shifted
ranges
north
north-eastwards,
US
westwards.
Range
unfilling
lower
than
expected
by
null
models,
expansion
more
common
unfilling.
Also,
generally
in
poorly
explained
traits.
Overall,
our
results
suggest
that
dispersal
limitations
were
minor
shifting
Europe
USA
while
delayed
extinctions
unfavourable
areas
seem
important.
Regional
differences
could
be
related
land
use
history
monitoring
schemes.
Comparative
analyses
provide
a
useful
screening
approach
for
identifying
importance
transient
dynamics
time-lagged
responses
change.
This
article
is
part
theme
issue
'Ecological
novelty
planetary
stewardship:
biodiversity
transforming
biosphere'.
AMBIO,
Год журнала:
2024,
Номер
53(11), С. 1618 - 1631
Опубликована: Июль 17, 2024
Abstract
When
reasoning
about
causes
of
sustainability
problems
and
possible
solutions,
scientists
rely
on
disciplinary-based
understanding
cause–effect
relations.
These
disciplinary
assumptions
enable
constrain
how
causal
knowledge
is
generated,
yet
they
are
rarely
made
explicit.
In
a
multidisciplinary
field
like
science,
lack
differences
in
impedes
our
ability
to
address
complex
problems.
To
support
navigating
the
diversity
reasoning,
we
articulate
when
during
research
process
researchers
engage
discuss
four
common
ideas
causation
that
direct
it.
This
articulation
provides
guidance
for
make
their
own
choices
transparent
interpret
other
researchers’
approaches.
Understanding
claims
justified
enables
evaluate
claims,
build
collaborations
across
disciplines,
assess
whether
proposed
solutions
suitable
given
problem.
Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2025,
Номер
380(1917)
Опубликована: Янв. 9, 2025
Georgina
Mace
proposed
bending
the
curve
of
biodiversity
loss
as
a
fitting
ambition
for
Convention
on
Biological
Diversity.
The
new
Global
Biodiversity
Monitoring
Framework
(GBMF)
may
increase
chances
meeting
goals
and
targets
in
Kunming–Montreal
(KMGBF),
which
requires
curve.
To
meet
outcome
KMGBF,
GBMF
should
support
adaptive
policy
responses
to
state
biodiversity,
turn
‘satnav’
nature.
twin
pillars
such
satnav
are
(i)
models
predict
expected
future
outcomes
today’s
choices;
(ii)
rapid
feedback
from
monitoring
enable
course
corrections
model
improvement.
These
same
elements
will
also
empower
organizations
ensure
that
their
actions
truly
nature-positive,
but
they
not
yet
written
into
GBMF.
Without
satnav,
society
effectively
have
try
find
its
way
by
looking
rear-view
mirror
current
headline
indicators
provide.
Drawing
contrasts
parallels
with
climate
modelling,
I
discuss
challenges
indicators,
models,
data
research
culture
must
be
overcome
if
we
bend
curve,
suggest
ways
forward.
This
article
is
part
discussion
issue
‘Bending
towards
nature
recovery:
building
Mace's
legacy
biodiverse
future’.
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.
Aim.
Population
dynamics
are
usually
assessed
through
linear
trend
analysis,
quantifying
their
general
direction.
However,
trends
may
hide
substantial
variations
in
population
that
could
reconcile
apparent
discrepancies
when
the
extent
of
biodiversity
crisis.
We
seek
to
determine
whether
use
non-linear
methods
and
quantification
temporal
variability
can
add
value
approach
by
offering
a
more
complete
representation
global
changes.
In
addition,
we
how
these
components
distributed
among
biogeographical
regions
taxonomic
groups.
Location.Global.Methods.We
analysed
6,437
time
series
from
1,257
species
Living
Planet
Database
over
period
1950-2020.
modeled
populations
second
order
polynomials
classified
trajectories
according
direction
acceleration.
same
using
common
analysis.
quantified
three
metrics,
coefficient
variation,
mean
squared
error
consecutive
disparity
index.
then
used
chi-squared
tests
mixed-effects
models
test
potential
sources
heterogeneity
variability.Results.Non-linear
were
better
fit
for
44.8
%
analyzed
series,
was
higher
as
linear.
Linear
missed
meaningful
information
misclassifying
recent
declines
or
recovery
signals.
Marine
highly
variable,
all
groups
IUCN
categories
exhibited
degree
non-linearity
variability.Main
conclusions.Non-linearity
reveal
overlooked
dramatic
signals
dynamics.
Thus,
moving
beyond
linearity
help
reduce
risk
misleading
conclusions
inform
conservation
decisions.
particular,
«
stable
»
informative
variable
changes
integrate
advanced
assessment.
Communications Earth & Environment,
Год журнала:
2024,
Номер
5(1)
Опубликована: Авг. 11, 2024
Decomposing
the
responses
of
ecosystem
structure
and
function
in
drylands
to
changes
human-environmental
forcing
is
a
pressing
challenge.
Though
trend
detection
studies
are
extensive,
these
often
fail
attribute
them
potential
spatiotemporal
drivers.
Most
attribution
use
single
empirical
model
or
causal
graph
that
cannot
be
generalized
extrapolated
larger
scales
account
for
spatial
multiple
independent
processes.
Here,
we
proposed
tested
multi-stage,
multi-model
framework
detects
vegetation
trends
attributes
ten
social-environmental
system
(SES)
drivers
Kazakhstan
(KZ).
The
time
series
segmented
residual
analysis
showed
45.71%
KZ
experienced
degradation,
with
land
change
as
predominant
contributor
(22.54%;
0.54
million
km2),
followed
by
climate
variability.
Pixel-wise
fitted
Granger
Causality
random
forest
models
revealed
sheep
&
goat
density
snow
cover
had
dominant
negative
positive
impacts
on
degraded
areas,
respectively.
Overall,
SES
driver
19.81%
(out
2.39
km2).
identified
degradation
hotspots
from
this
study
will
help
identify
locations
where
restoration
projects
could
have
greater
impact
achieve
neutrality
KZ.
A
detection,
contribution,
suggests
almost
46%
area
has
grazing
variability
principal
degradation.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 31, 2024
Abstract
Global
biodiversity
loss
and
climate
change
exacerbate
feedbacks
within
social-ecological
systems,
i.e.,
between
ecosystems,
their
services
well-being
of
human
societies.
Our
ability
to
mediate
these
is
hampered
by
incomplete
understanding
the
underlying
causal
links,
which
could
benefit
from
interdisciplinary
approaches
discover
theoretical
or
empirical
links
heterogeneous
data
characteristic
studies.
We
propose
a
novel
framework
connecting
literature-based
knowledge
with
data-driven
inference
causality.
test
this
for
highly
biodiverse
island
Borneo
conducting
systematic
literature
review
7473
studies
over
170
years,
analysis
three
conceptual
diagrams
global
change,
socio-economics,
ecosystem
services,
biodiversity-ecosystem
function
using
set
227
spatially
explicit
variables.
find
that,
while
natural
social
processes
have
been
mostly
studied
independently,
already
documents
across
domains
related
deforestation,
food
energy.
Causal
discovery
unveiled
consistent
negative
social-economic
landscape,
function,
positive
were
robust
indicator
selection
addition.
detected
few
weak
services.
When
comparing
inferred
those
documented
literature,
we
that
landscape
also
consistent,
uncovered
new
(potential)
not
yet
described
in
literature.
Significance
Statement
Addressing
Anthropocene
requires
us
recognize
societies
ecological
systems
are
inherently
interconnected
complex
adaptive
systems.
enables
system
dynamics
response
pressures
shocks.
While
promising,
combination
‘big
literature’
provides
state-of-the-knowledge
data’
information
discovery.
With
framework,
can
specify
rigorously
test,
biodiversity-mediated
under
examine
potential
interventions
lead
much
needed
sustainable
outcomes.
When
evaluating
biological
recovery,
shifts
in
species
identity
such
as
non-native
status,
specialisation,
and
functional
traits
should
be
examined
alongside
changes
richness.
Lithuania,
an
ecologically
overlooked
region,
serves
a
crucial
reservoir
for
boreal
glacial
relict
macroinvertebrates.
We
investigate
how
why
Lithuanian
riverine
communities
have
changed
during
the
intensive
period
of
global
environmental
from
2010
to
2020.
Using
41
time-series
rivers,
we
identified
taxonomic
diversity.
Akin
observed
overall
increase
both
diversity,
likely
due
improved
water
quality,
evidenced
by
increased
dissolved
oxygen
levels
reductions
toxic
nitrogen
phosphorus
products.
However,
increases
richness
abundance
insect
indicator
taxa
were
superseded
non-insect
taxa,
including
crustaceans,
molluscs,
annelids.
These
compositional
attributed
climatic
changes,
notably
rising
temperatures
reduced
discharge.
Biodiversity
responses
stronger
larger
which
are
economically
important
represent
sentinels
further
upstream
changes.
While
improvements
quality
benefit
various
stakeholders
continue,
prioritising
mitigation
change
top
priority
cooperation
management
schemes.
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.