Biological Conservation,
Journal Year:
2024,
Volume and Issue:
292, P. 110511 - 110511
Published: March 4, 2024
Conservation
managers
often
monitor
umbrella
species
as
indicators
of
broader
biodiversity
patterns,
but
this
assumption
is
seldom
evaluated
due
to
lack
survey
data
and
objective
criteria.
We
the
performance
eight
candidate
in
representing
patterns
mammal
Sumatra,
Indonesia,
using
a
comprehensive
camera
trap
dataset
from
island's
largest
remaining
tropical
rainforest.
employed
an
occupancy
modeling
framework
quantify
association
between
species-level
four
community-level
parameters
while
accounting
for
imperfect
detection.
Sambar
deer
clouded
leopard
were
consistently
ranked
top
umbrellas.
Areas
where
these
prevalent
associated
with
higher
levels
community
occupancy,
richness,
functional
phylogenetic
diversity.
Sumatran
tiger
rhino
among
lower
umbrellas,
inadequately
represented
other
despite
being
main
subjects
monitoring.
Our
results
demonstrate
that
occurrence
status
charismatic
commonly
regarded
umbrellas
does
not
necessarily
represent
biodiversity.
Species
are
frequently
overlooked
by
conservation
decision-making
may
better
overall
advocate
utilizing
fleets
multiple
monitored
encourage
application
our
data-driven
assess
performance.
Methods in Ecology and Evolution,
Journal Year:
2019,
Volume and Issue:
10(1), P. 22 - 37
Published: Jan. 1, 2019
Abstract
With
the
advance
of
methods
for
estimating
species
distribution
models
has
come
an
interest
in
how
to
best
combine
datasets
improve
estimates
distributions.
This
spurred
development
data
integration
that
simultaneously
harness
information
from
multiple
while
dealing
with
specific
strengths
and
weaknesses
each
dataset.
We
outline
general
principles
have
guided
review
recent
developments
field.
then
key
areas
allow
a
more
framework
integrating
provide
suggestions
improving
sampling
design
validation
integrated
models.
Key
advances
been
using
point‐process
thinking
estimators
developed
different
types.
Extending
this
new
types
will
further
our
inferences,
as
well
relaxing
assumptions
about
parameters
are
jointly
estimated.
These
along
better
use
regarding
effort
spatial
autocorrelation
inferences.
Recent
form
strong
foundation
implementation
Wider
adoption
can
inferences
distributions
dynamic
processes
lead
distributional
shifts.
Conservation Biology,
Journal Year:
2020,
Volume and Issue:
35(1), P. 88 - 100
Published: April 16, 2020
The
rapid
improvement
of
camera
traps
in
recent
decades
has
revolutionized
biodiversity
monitoring.
Despite
clear
applications
conservation
science,
have
seldom
been
used
to
model
the
abundance
unmarked
animal
populations.
We
sought
summarize
challenges
facing
estimation
animals,
compile
an
overview
existing
analytical
frameworks,
and
provide
guidance
for
practitioners
seeking
a
suitable
method.
When
records
multiple
detections
animal,
one
cannot
determine
whether
images
represent
mobile
individuals
or
single
individual
repeatedly
entering
viewshed.
Furthermore,
movement
obfuscates
definition
sampling
area
and,
as
result,
which
estimate
corresponds.
Recognizing
these
challenges,
we
identified
6
approaches
reviewed
927
camera-trap
studies
published
from
2014
2019
assess
use
prevalence
each
Only
about
5%
any
abundance-estimation
methods
identified.
Most
estimated
local
covariate
relationships
rather
than
predicting
density
over
broader
areas.
Next,
approach,
compiled
data
requirements,
assumptions,
advantages,
disadvantages
help
navigate
landscape
methods.
appropriate
method,
should
evaluate
life
history
focal
taxa,
carefully
define
frame,
consider
what
types
collection
are
possible.
challenge
estimating
populations
persists;
although
exist,
no
method
is
optimal
under
all
circumstances.
As
frameworks
continue
evolve
animals
becomes
increasingly
common,
will
become
even
more
important
informing
decision-making.Estimación
de
la
Abundancia
Animales
No
Marcados
con
Base
en
Datos
Cámaras
Trampa
Resumen
La
rápida
mejoría
las
cámaras
trampa
décadas
recientes
ha
revolucionado
el
monitoreo
biodiversidad.
A
pesar
su
clara
aplicación
ciencias
conservación,
han
sido
utilizadas
pocas
veces
para
modelar
abundancia
poblaciones
animales
marcados.
Buscamos
resumir
los
retos
que
enfrenta
estimación
marcados,
compilar
una
perspectiva
general
marcos
analíticos
trabajo
existentes
y
proporcionar
guía
aquellos
practicantes
buscan
un
método
adecuado.
Cuando
cámara
registra
múltiples
detecciones
se
puede
determinar
si
imágenes
representan
diferentes
individuos
movimiento
o
solo
individuo
entra
repetidamente
zona
visión
cámara.
Sumado
esto,
ofusca
definición
del
área
muestreo
y,
como
resultado,
cual
corresponde
estimado
abundancia.
Después
reconocer
estos
retos,
identificamos
seis
estrategias
analíticas
revisamos
estudios
publicados
entre
evaluar
uso
prevalencia
cada
método.
Solamente
usó
cualquiera
métodos
identificamos.
mayoría
estimaron
relaciones
covarianza
lugar
predecir
densidad
lo
largo
áreas
más
amplias.
Después,
estrategia
analítica,
recopilamos
requerimientos
datos,
suposiciones,
ventajas
desventajas
ayudar
navegar
paisaje
busquen
apropiado
deberán
historia
vida
taxón
focal,
definir
cuidadosamente
marco
considerar
cuáles
tipos
recolección
datos
son
posibles.
El
reto
estimar
marcados
persiste;
aunque
existan
muchos
métodos,
hay
único
óptimo
cumpla
todas
circunstancias.
Mientras
sigan
evolucionando
sea
vez
común,
serán
todavía
importantes
informar
toma
decisiones
conservación.近几十年来红外相机陷阱技术的快速发展已经彻底改变了生物多样性监测的现状。尽管红外相机陷阱法在动物保护科学中有明确的应用,
但它很少被用来模拟无标记动物的种群数量。本研究旨在总结无标记动物的丰度估计所面临的挑战,
总结现有的分析框架并为寻求合适方法的实践者提供指导意见。当红外相机多次记录到无标记的动物时,
人们无法确定这些图像代表的是多个个体还是一个重复进入相机拍摄范围的个体。此外,
动物的运动导致不能清晰地划定采样区域,
因此也模糊了所对应区域的丰度估计。面对这些挑战,
我们确定了六种分析方法,
并综述了
年至
年发表的
项红外相机陷阱研究,
以评估每种方法的使用情况和流行程度。结果发现,
只有约
的研究使用了至少一种我们确定的丰度估计方法。这些研究大多是估计局部丰度或协变量关系,
而不是预测更大范围内的动物丰度或密度。接下来,
我们总结了每种分析方法的数据需求、假设、优点和缺点,
以帮助实践者了解丰度估计方法的总体情况。实践者在寻找合适的方法时,
应评估研究所关注类群的生活史,
谨慎地确定采样范围,
并考虑可能收集到的数据类型。无标记动物的种群数量估计仍面临挑战,
虽然已存在多种方法,
但没有一种方法对于所有红外相机陷阱数据都是最优的。随着分析框架的不断发展和对无标记动物数量估计变得越来越普遍,
红外相机陷阱法在为指导保护决策中也将更加重要。【翻译:
胡怡思;
审校:
聂永刚】.
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.
Frontiers in Ecology and the Environment,
Journal Year:
2021,
Volume and Issue:
19(1), P. 30 - 38
Published: Feb. 1, 2021
Data
integration
is
a
statistical
modeling
approach
that
incorporates
multiple
data
sources
within
unified
analytical
framework.
Macrosystems
ecology
–
the
study
of
ecological
phenomena
at
broad
scales,
including
interactions
across
scales
increasingly
employs
techniques
to
expand
spatiotemporal
scope
research
and
inferences,
increase
precision
parameter
estimates,
account
for
uncertainty
in
estimates
multiscale
processes.
We
highlight
four
common
challenges
macrosystems
research:
scale
mismatches,
unbalanced
data,
sampling
biases,
model
development
assessment.
explain
each
problem,
discuss
current
approaches
address
issue,
describe
potential
areas
overcome
these
hurdles.
Use
has
increased
rapidly
recent
years,
given
inferential
value
such
approaches,
we
expect
continued
wider
application
disciplines,
especially
ecology.
Fish and Fisheries,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
ABSTRACT
Species
with
complex
life
cycles,
such
as
anadromous
fish
that
perform
spawning
migrations
between
freshwater
and
the
ocean,
may
be
particularly
sensitive
to
global
change
because
marine
habitats
experience
distinct
shifts
in
climate
ecosystem
dynamics.
Abundances
of
wild
steelhead
trout
(
Oncorhynchus
mykiss
)
have
declined
across
most
their
range
over
past
40–50
years.
We
examined
whether
declines
survival
can
linked
changing
conditions
species
interactions.
A
novel
hierarchical
integrated
population
model
accounts
for
species'
history
was
fitted
data
from
multiple
populations
on
Washington
coast,
U.S.A.
The
estimates
recruitment
residuals
kelt
rates
time‐varying
processes,
which
reflect
annual
variation
before
after
first
maturation.
found
immature
(recruits)
adult
(kelts)
time
trends
were
strongly
associated
change,
specifically
summer
sea
surface
temperature
pink
salmon
abundance
North
Pacific
Ocean,
NPGO
index
river
flows.
Including
these
drivers
reduced
unexplained
shared
anomalies
largely
accounted
negative
long‐term
trends.
Our
findings
provide
evidence
rising
temperatures
increased
interspecific
competition
at
contributed
last
five
decades.
Considering
projected
warming
high
abundances
will
likely
continue
low
rates.
Biological Conservation,
Journal Year:
2018,
Volume and Issue:
229, P. 50 - 58
Published: Nov. 22, 2018
The
management
of
rare
species
is
a
conservation
priority
worldwide,
but
this
task
made
difficult
by
detection
errors
in
population
surveys.
Both
false
positive
(misidentification)
and
negative
(missed
detection)
are
prevalent
surveys
for
can
affect
resulting
inferences
about
their
status
or
distribution.
Environmental
DNA
(eDNA)—DNA
shed
from
an
organism
its
environment—coupled
with
quantitative
PCR
(qPCR)
analyses,
has
become
reliable
extremely
sensitive
mean
identifying
aquatic
systems.
Due
to
the
demonstrated
effectiveness
these
methods,
we
tested
efficacy
terrestrial
settings
reduce
three
forest
carnivores
concern:
Canada
lynx
(Lynx
canadensis),
fisher
(Pekania
pennanti),
wolverine
(Gulo
gulo).
We
specifically
investigated
our
ability
reliably:
1)
identify
directly
snow
samples
collected
within
tracks;
2)
collecting
locations
where
animal
had
been
photographed;
3)
hair
during
summer
after
being
deployed
throughout
winter
(i.e.,
overwinter
surveys).
Our
findings
indicated
that
qPCR
assays
effectively
detect
all
species,
including
snow-track
surveys,
at
camera
stations,
failed
amplify
conventional
techniques.
All
results
indicate
sources
targeted
collection
provided
adequate
quantities
robust
detection.
suggest
using
methods
potential
revolutionize
reducing
eliminating
misidentifications
missed
detections.
Scientific Reports,
Journal Year:
2018,
Volume and Issue:
8(1)
Published: Nov. 8, 2018
Large
carnivores
are
imperiled
globally,
and
characteristics
making
them
vulnerable
to
extinction
(e.g.,
low
densities
expansive
ranges)
also
make
it
difficult
estimate
demographic
parameters
needed
for
management.
Here
we
develop
an
integrated
population
model
analyze
capture-recapture,
radiotelemetry,
count
data
the
Chukchi
Sea
subpopulation
of
polar
bears
(Ursus
maritimus),
2008-2016.
Our
addressed
several
challenges
in
capture-recapture
studies
by
including
a
multievent
structure
reflecting
location
life
history
states,
while
accommodating
state
uncertainty.
Female
breeding
probability
was
0.83
(95%
credible
interval
[CRI]
=
0.71-0.90),
with
litter
sizes
2.18
CRI
1.71-2.82)
age-zero
1.61
1.46-1.80)
age-one
cubs.
Total
adult
survival
0.90
0.86-0.92)
females
0.89
0.83-0.93)
males.
Spring
on-ice
west
Alaska
were
0.0030
bears/km2
0.0016-0.0060),
similar
1980s-era
density
estimates
although
methodological
differences
complicate
comparison.
Abundance
subpopulation,
derived
extrapolating
from
study
area
using
spatially-explicit
habitat
metric,
2,937
1,552-5,944).
findings
consistent
other
lines
evidence
suggesting
has
been
productive
recent
years,
is
uncertain
how
long
this
will
continue
given
sea-ice
loss
due
climate
change.