Conservation Biology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 27, 2024
Abstract
Many
citizen
scientists
are
highly
motivated
to
help
address
the
current
extinction
crisis.
Their
work
is
making
valuable
contributions
protecting
species
by
raising
awareness,
identifying
occurrences,
assessing
population
trends,
and
informing
direct
management
actions,
such
as
captive
breeding.
However,
clear
guidance
lacking
about
how
use
existing
science
data
sets
design
effective
programs
that
directly
inform
risk
assessments
resulting
conservation
actions
based
on
International
Union
for
Conservation
of
Nature
(IUCN)
Red
List
criteria.
This
may
be
because
a
mismatch
between
what
can
deliver
reality
needed
threatened
listing
IUCN
To
overcome
this
problem,
we
examined
each
criterion
(A–E)
relative
five
major
types
outputs
relevant
(occurrence
data,
presence–absence
observations,
structured
surveys,
physical
samples,
narratives)
recommend
which
most
suited
when
applying
assessment
process.
We
explored
real‐world
examples
projects
amphibians
fungi
have
delivered
knowledge
assessments.
found
although
occurrence
routinely
used
in
process,
simply
adding
more
observations
from
information
not
inclusion
nuanced
types,
or
threats
surveys.
then
characteristics
already
support
These
were
led
recognized
experts
who
champion
validate
thereby
giving
greater
confidence
its
accuracy.
urge
increased
recognition
value
within
Citizen
science
is
an
increasingly
acknowledged
approach
applied
in
many
scientific
domains,
and
particularly
within
the
environmental
ecological
sciences,
which
non-professional
participants
contribute
to
data
collection
advance
research.
We
present
contributory
citizen
as
a
valuable
method
scientists
practitioners
focusing
on
full
life
cycle
of
practice,
from
design
implementation,
evaluation
management.
highlight
key
issues
how
address
them,
such
participant
engagement
retention,
quality
assurance
bias
correction,
well
ethical
considerations
regarding
sharing.
also
provide
range
examples
illustrate
diversity
applications,
biodiversity
research
land
cover
assessment
forest
health
monitoring
marine
pollution.
The
aspects
reproducibility
sharing
are
considered,
placing
encompassing
open
perspective.
Finally,
we
discuss
its
limitations
challenges
outlook
for
application
multiple
domains.
Contributory
whole
or
part
This
Primer
outlines
use
discussing
engagement,
correction.
Trends in Ecology & Evolution,
Journal Year:
2021,
Volume and Issue:
37(2), P. 158 - 170
Published: Oct. 30, 2021
Context
dependence
is
widely
invoked
to
explain
disparate
results
in
ecology.
It
arises
when
the
magnitude
or
sign
of
a
relationship
varies
due
conditions
under
which
it
observed.
Such
variation,
especially
unexplained,
can
lead
spurious
seemingly
contradictory
conclusions,
limit
understanding
and
our
ability
transfer
findings
across
studies,
space,
time.
Using
examples
from
biological
invasions,
we
identify
two
types
context
resulting
four
sources:
mechanistic
interaction
effects;
apparent
arise
presence
confounding
factors,
problems
statistical
inference,
methodological
differences
among
studies.
Addressing
critical
challenge
ecology,
essential
for
increased
prediction.
Diversity and Distributions,
Journal Year:
2021,
Volume and Issue:
27(7), P. 1265 - 1277
Published: May 7, 2021
Abstract
Aim
Ecological
data
collected
by
the
general
public
are
valuable
for
addressing
a
wide
range
of
ecological
research
and
conservation
planning,
there
has
been
rapid
increase
in
scope
volume
available.
However,
from
eBird
or
other
large‐scale
projects
with
volunteer
observers
typically
present
several
challenges
that
can
impede
robust
inferences.
These
include
spatial
bias,
variation
effort
species
reporting
bias.
Innovation
We
use
example
estimating
distributions
eBird,
community
science
citizen
(CS)
project.
estimate
two
widely
used
metrics
distributions:
encounter
rate
occupancy
probability.
For
each
metric,
we
critically
assess
impact
processing
steps
either
degrade
refine
analyses.
CS
density
varies
across
globe,
so
also
test
whether
differences
model
performance
to
sample
size.
Main
conclusions
Model
improved
when
analytical
methods
addressed
arising
data;
however,
degree
improvement
varied
density.
The
largest
gains
observed
were
achieved
1)
complete
checklists
(where
report
all
they
detect
identify,
allowing
non‐detections
be
inferred)
2)
covariates
describing
detectability
checklist.
Occupancy
models
more
lack
checklists.
Improvements
refinement
evident
larger
sizes.
In
general,
found
value
situation
encourage
researchers
benefits
scenarios.
approaches
will
enable
effectively
harness
vast
knowledge
exists
within
basic
research.
Methods in Ecology and Evolution,
Journal Year:
2022,
Volume and Issue:
14(1), P. 103 - 116
Published: Feb. 20, 2022
Abstract
There
is
increasing
availability
and
use
of
unstructured
semi‐structured
citizen
science
data
in
biodiversity
research
conservation.
This
expansion
a
rich
source
‘big
data’
has
sparked
numerous
directions,
driving
the
development
analytical
approaches
that
account
for
complex
observation
processes
these
datasets.
We
review
outstanding
challenges
analysis
monitoring.
For
many
challenges,
potential
impact
on
ecological
inference
unknown.
Further
can
document
explore
ways
to
address
it.
In
addition
outlining
describing
may
be
useful
considering
design
future
projects
or
additions
existing
projects.
outline
monitoring
using
four
partially
overlapping
categories:
arise
as
result
(a)
observer
behaviour;
(b)
structures;
(c)
statistical
models;
(d)
communication.
Potential
solutions
are
combinations
of:
collecting
additional
metadata;
analytically
combining
different
datasets;
developing
refining
models.
While
there
been
important
progress
develop
methods
tackle
most
remain
substantial
gains
subsequent
conservation
actions
we
believe
will
possible
by
further
areas.
The
degree
challenge
opportunity
each
presents
varies
substantially
across
datasets,
taxa
questions.
some
cases,
route
forward
clear,
while
other
cases
more
scope
exploration
creativity.
Ostrich,
Journal Year:
2022,
Volume and Issue:
93(4), P. 223 - 232
Published: Nov. 5, 2022
The
African
Bird
Atlas
Project
(ABAP)
is
a
citizen-science
bird-monitoring
programme
that
relies
on
robust,
repeatable
protocol
(BirdMap)
and
allows
insights
into
the
distributions
of
birds
their
conservation.
involves
collecting
bird
lists
within
spatial
sampling
units
called
pentads
(5
×
5
minutes
latitude
by
longitude),
in
relation
to
survey
effort.
It
based
Second
Southern
(SABAP2),
which
one
Africa's
largest
citizen
science
projects,
with
over
600
thousand
checklists,
comprising
∼19
million
locality
records
as
December
2021.
SABAP2,
focuses
southern
Africa,
was
initiated
2007
ongoing.
Both
Kenya
Map
Nigerian
Project,
2013
2015,
respectively,
use
this
protocol.
These
projects
have
galvanised
local
birdwatching
communities
allow
for
important
comparisons
across
sub-Saharan
countries.
scope
ABAP
covers
entire
continent.
species
are
collected
scientists
pentad,
each
list
encompassing
minimum
2
hours
active
birding
maximum
days
preferred
'full-protocol'
format.
Lists
do
not
meet
full
requirements
'ad-hoc'.
Species
mostly
submitted
SABAP2
database
at
University
Cape
Town,
South
third-party
mobile
phone
application
BirdLasser.
Incoming
data
vetted
against
existing
records,
unusual
verified
Regional
Committees.
Data
open
access
via
public
websites.
Distributional
can
be
downloaded
database,
or
site-specific
various
formats
pentads.
Here,
we
introduce
technical
details
inform
researchers
how
gathered
curated.
Data-access
protocols
explained,
examples
given
from
publication
record.
NeoBiota,
Journal Year:
2020,
Volume and Issue:
62, P. 407 - 461
Published: Oct. 15, 2020
Macroecology
is
the
study
of
patterns,
and
processes
that
determine
those
in
distribution
abundance
organisms
at
large
scales,
whether
they
be
spatial
(from
hundreds
kilometres
to
global),
temporal
decades
centuries),
organismal
(numbers
species
or
higher
taxa).
In
context
invasion
ecology,
macroecological
studies
include,
for
example,
analyses
richness,
diversity,
distribution,
alien
regional
floras
faunas,
spatio-temporal
dynamics
across
regions,
cross-taxonomic
traits
among
comparable
native
pools.
However,
aiming
explain
predict
plant
animal
naturalisations
invasions,
resulting
impacts,
have,
date,
rarely
considered
joint
effects
traits,
environment,
socioeconomic
characteristics.
To
address
this,
we
present
MAcroecological
Framework
Invasive
Aliens
(MAFIA).
The
MAFIA
explains
phenomenon
using
three
interacting
classes
factors
–
location
characteristics,
related
introduction
events
explicitly
maps
these
interactions
onto
sequence
from
transport
naturalisation
invasion.
framework
therefore
helps
both
identify
how
anthropogenic
interact
with
environmental
characteristics
observed
patterns
abundance,
richness;
clarify
why
neglecting
can
generate
spurious
conclusions.
Event-related
include
propagule
pressure,
colonisation
residence
time
are
important
mediating
outcome
processes.
because
dependence,
bias
analyses,
example
seek
elucidate
role
traits.
same
vein,
failure
recognise
incorporate
main
impedes
our
understanding
which
shaped
by
importance
between
their
environment.
based
largely
on
insights
plants
birds,
but
believe
it
applied
all
taxa,
hope
will
stimulate
comparative
research
other
groups
environments.
By
making
biases
biological
invasions
explicit,
offers
an
opportunity
guide
assessments
dependence
broad
geographical
scales.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2021,
Volume and Issue:
288(1946), P. 20202513 - 20202513
Published: March 10, 2021
Biodiversity
is
threatened
by
the
growth
of
urban
areas.
However,
it
still
poorly
understood
how
animals
can
cope
with
and
adapt
to
these
rapid
dramatic
transformations
natural
environments.
The
COVID-19
pandemic
provides
us
a
unique
opportunity
unveil
mechanisms
involved
in
this
process.
Lockdown
measures
imposed
most
countries
are
causing
an
unprecedented
reduction
human
activities,
giving
experimental
setting
assess
effects
our
lifestyle
on
biodiversity.
We
studied
birds'
response
population
lockdown
using
more
than
126
000
bird
records
collected
citizen
science
project
northeastern
Spain.
compared
occurrence
detectability
birds
during
spring
2020
baseline
data
from
previous
years
same
areas
dates.
found
that
did
not
increase
their
probability
lockdown,
refuting
hypothesis
nature
has
recovered
its
space
human-emptied
we
detectability,
especially
early
morning,
suggesting
change
birds’
daily
routines
quieter
less
crowded
cities.
Therefore,
show
high
behavioural
plasticity
rapidly
adjust
novel
environmental
conditions,
such
as
those
COVID-19.
Biology Letters,
Journal Year:
2022,
Volume and Issue:
18(6)
Published: June 1, 2022
Mounting
evidence
suggests
that
climate
change,
agricultural
intensification
and
disease
are
impacting
bumblebee
health
contributing
to
species’
declines.
Identifying
how
these
factors
impact
insect
communities
at
large
spatial
temporal
scales
is
difficult,
partly
because
species
may
respond
in
different
ways.
Further,
the
necessary
data
must
span
scales,
which
usually
means
they
comprise
aggregated,
presence-only
records
collected
using
numerous
methods
(e.g.
diversity
surveys,
educational
collections,
citizen-science
projects,
standardized
ecological
surveys).
Here,
we
use
occupancy
models,
explicitly
correct
for
biases
observation
process,
quantify
effect
of
changes
temperature,
precipitation
floral
resources
on
site
over
past
12
decades
North
America.
We
find
no
genus-wide
declines
occupancy,
but
do
strongly
related
only
weakly
or
resources.
also
more
likely
be
change
‘losers’
than
‘winners’
this
primarily
associated
with
changing
temperature.
Importantly,
all
trends
were
highly
species-specific,
highlighting
genus
community-wide
measures
not
reflect
diverse
species-specific
patterns
critical
guiding
allocation
conservation
Ecography,
Journal Year:
2022,
Volume and Issue:
2022(8)
Published: May 20, 2022
Large‐scale
biodiversity
databases
have
great
potential
for
quantifying
long‐term
trends
of
species,
but
they
also
bring
many
methodological
challenges.
Spatial
bias
species
occurrence
records
is
well
recognized.
Yet,
the
dynamic
nature
this
spatial
–
how
has
changed
over
time
been
largely
overlooked.
We
examined
within
multiple
in
Germany
and
tested
whether
relation
to
land
cover
or
use
(urban
protected
areas)
time.
focused
our
analyses
on
urban
areas
as
these
represent
two
well‐known
correlates
sampling
datasets.
found
that
proportion
annual
from
increased
while
not
consistently
changed.
Using
simulations,
we
implications
changing
estimation
species'
distributions.
When
assessing
change,
findings
suggest
effects
depend
it
affects
underlying
land‐use
change
drivers
affecting
species.
Oversampling
regions
undergoing
greatest
degree
instance
near
human
settlements,
might
lead
overestimation
specialist
For
robust
distributions,
using
may
need
consider
only
bias,
changes
through
Journal of Animal Ecology,
Journal Year:
2023,
Volume and Issue:
92(12), P. 2248 - 2262
Published: Oct. 25, 2023
Abstract
Data
deficiencies
among
rare
or
cryptic
species
preclude
assessment
of
community‐level
processes
using
many
existing
approaches,
limiting
our
understanding
the
trends
and
stressors
for
large
numbers
species.
Yet
evaluating
dynamics
whole
communities,
not
just
common
charismatic
species,
is
critical
to
responses
biodiversity
ongoing
environmental
pressures.
A
recent
surge
in
both
public
science
government‐funded
data
collection
efforts
has
led
a
wealth
data.
However,
these
programmes
use
wide
range
sampling
protocols
(from
unstructured,
opportunistic
observations
wildlife
well‐structured,
design‐based
programmes)
record
information
at
variety
spatiotemporal
scales.
As
result,
available
vary
substantially
quantity
content,
which
must
be
carefully
reconciled
meaningful
ecological
analysis.
Hierarchical
modelling,
including
single‐species
integrated
models
hierarchical
community
models,
improved
ability
assess
predict
processes.
Here,
we
highlight
emerging
‘integrated
modelling’
framework
that
combines
integration
modelling
improve
inferences
on
species‐
dynamics.
We
illustrate
with
series
worked
examples.
Our
three
case
studies
demonstrate
how
can
used
extend
geographic
scope
when
distributions
richness
patterns;
discern
population
over
time;
estimate
demographic
rates
growth
communities
sympatric
implemented
examples
multiple
software
methods
through
R
platform
via
packages
formula‐based
interfaces
development
custom
code
JAGS,
NIMBLE
Stan.
Integrated
provide
an
exciting
approach
model
biological
observational
types
sources
simultaneously,
thus
accounting
uncertainty
error
within
unified
framework.
By
leveraging
combined
benefits
produce
valuable
about
as
well
dynamics,
allowing
holistic
evaluation
effects
global
change
biodiversity.