Environmental Research Letters,
Journal Year:
2020,
Volume and Issue:
15(9), P. 095002 - 095002
Published: March 18, 2020
Abstract
The
Global
Ecosystem
Dynamics
Investigation
(GEDI)
lidar
began
data
acquisition
from
the
International
Space
Station
in
March
2019
and
is
expected
to
make
over
10
billion
measurements
of
canopy
structure
topography
two
years.
Previously,
airborne
with
limited
spatial
coverage
have
been
used
examine
relationships
between
forest
faunal
diversity,
most
commonly
bird
species.
GEDI’s
latitudinal
will
permit
these
types
analyses
at
larger
extents,
majority
Earth’s
forests,
importantly
areas
where
complex
and/or
poorly
understood.
In
this
regional
study,
we
examined
impact
that
GEDI-derived
Canopy
Structure
variables
on
performance
species
distribution
models
(SDMs)
Sonoma
County,
California.
We
simulated
GEDI
waveforms
for
a
two-year
period
then
interpolated
derived
three
grid
sizes
analysis.
addition
variables,
also
included
Phenology,
Climate,
other
Auxiliary
predict
probability
occurrence
25
common
weighted
average
ensemble
seven
individual
machine
learning
predictions
each
calculated
variable
importance.
found
were,
our
finest
resolution
250
m,
second
important
group
(32.5%)
predictor
after
Climate
(35.3%).
were
predicting
birds
associated
Conifer
habitat.
Regarding
analysis
scale,
finer-scale
more
frequently
performed
better
than
coarser-scale
models,
importance
was
greater
finer
resolutions.
Overall,
improved
SDM
least
one
19
thus
show
promise
improving
mapping
potential
Decision,
Journal Year:
2015,
Volume and Issue:
2(3), P. 191 - 215
Published: April 6, 2015
Many
decisions
in
the
lives
of
animals
and
humans
require
a
fine
balance
between
exploration
different
options
exploitation
their
rewards.
Do
you
buy
advertised
car,
or
do
test
drive
models?
continue
feeding
from
current
patch
flowers,
fly
off
to
another
one?
marry
your
partner,
try
luck
with
someone
else?
The
required
these
situations
is
commonly
referred
as
exploration–
tradeoff.
It
features
prominently
wide
range
research
traditions,
including
learning,
foraging,
decision
making
literatures.
Here,
we
integrate
findings
other
often-isolated
literatures
order
gain
better
understand-
ing
possible
tradeoffs
exploitation,
propose
new
theoretical
insights
that
might
guide
future
research.
Specifically,
explore
how
potential
depend
on
(a)
conceptualization
exploitation;
(b)
influencing
environmental,
social,
individual
factors;
(c)
scale
at
which
are
considered;
(d)
relationship
types
transitions
2
behaviors;
(e)
goals
maker.
We
conclude
best
conceptualized
points
continuum,
extent
an
agent’s
behavior
can
be
interpreted
exploratory
exploitative
depends
upon
level
abstraction
it
considered.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2010,
Volume and Issue:
365(1550), P. 2255 - 2265
Published: June 21, 2010
The
field
of
habitat
ecology
has
been
muddled
by
imprecise
terminology
regarding
what
constitutes
habitat,
and
how
importance
is
measured
through
use,
selection,
avoidance
other
bio-statistical
terminology.
Added
to
the
confusion
idea
that
scale-specific.
Despite
these
conceptual
difficulties,
ecologists
have
made
advances
in
understanding
‘how
habitats
are
important
animals’,
data
from
animal-borne
global
positioning
system
(GPS)
units
potential
help
this
clarification.
Here,
we
propose
a
new
framework
connect
with
measures
animal
performance
itself—towards
assessing
habitat–performance
relationship
(HPR).
Long-term
studies
will
be
needed
estimate
consequences
selection
for
performance.
GPS
wildlife
can
provide
approaches
studying
useful
correlates
review.
Recent
examples
include
merging
traditional
resource
information
about
resources
used
at
different
critical
life-history
events
(e.g.
nesting,
calving,
migration),
uncovering
facilitate
movement
or
foraging
and,
ultimately,
comparing
strategies
those
resulting
death.
By
integrating
receivers
technologies
combining
additional
information,
believe
drivers
HPRs
inform
improve
conservation.
Ecological Applications,
Journal Year:
2021,
Volume and Issue:
32(1)
Published: Oct. 9, 2021
Abstract
Habitat
selection
is
a
fundamental
animal
behavior
that
shapes
wide
range
of
ecological
processes,
including
movement,
nutrient
transfer,
trophic
dynamics
and
population
distribution.
Although
habitat
has
been
focus
studies
for
decades,
technological,
conceptual
methodological
advances
over
the
last
20
yr
have
led
to
surge
in
addressing
this
process.
Despite
substantial
literature
focused
on
quantifying
habitat‐selection
patterns
animals,
there
marked
lack
guidance
best
analytical
practices.
The
foundations
most
commonly
applied
modeling
frameworks
can
be
confusing
even
those
well
versed
their
application.
Furthermore,
yet
synthesis
made
yr.
Therefore,
need
both
current
state
knowledge
selection,
seeking
study
Here,
we
provide
an
approachable
overview
analyses
(HSAs)
conducted
using
functions,
which
are
by
far
framework
understanding
This
review
purposefully
non‐technical
without
heavy
mathematical
statistical
notation,
confuse
many
practitioners.
We
offer
history
HSAs,
describing
tortuous
path
our
understanding.
Through
overview,
also
aim
address
areas
greatest
confusion
literature.
synthesize
outlining
exciting
field
modeling,
discussing
evolutionary
inference
contemporary
techniques.
paper
clarity
navigating
complex
HSAs
while
acting
as
reference
practices
guide
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2012,
Volume and Issue:
88(2), P. 255 - 272
Published: Nov. 9, 2012
ABSTRACT
General
principles
about
the
consequences
of
seed
dispersal
by
animals
for
structure
and
dynamics
plant
populations
communities
remain
elusive.
This
is
in
part
because
deposition
patterns
emerge
from
interactions
between
frugivore
behaviour
distribution
food
resources,
both
which
can
vary
over
space
time.
Here
we
advocate
a
frugivore‐centred,
process‐based,
synthetic
approach
to
research
that
integrates
ecology
animal
movement
across
multiple
spatio‐temporal
scales.
To
guide
this
synthesis,
survey
existing
literature
using
paradigms
movement.
Specifically,
studies
are
discussed
with
respect
five
criteria:
selection
focal
organisms
(animal
or
plant);
measurement
movement;
characterization
shadow;
animal,
environmental
factors
included
study;
scales
study.
Most
focused
on
either
frugivores
plants
characterized
shadows
directly
combining
gut
retention
time
data
indirectly
conducting
maternity
analysis
seeds.
Although
organismal
traits
were
often
measured,
they
seldom
used
characterize
shadows.
Multi‐scale
analyses
rare,
mostly
at
fine
spatial
scales,
single
fruiting
seasons,
individual
dispersers.
Novel
animal‐
seed‐tracking
technologies,
remote
monitoring
tools,
advances
analytical
methods
enable
effective
implementation
hierarchical
mechanistic
study
dispersal.
kind
will
provide
novel
insights
regarding
complex
interplay
modulate
subsequently
influence
temporal
Ecology Letters,
Journal Year:
2013,
Volume and Issue:
17(3), P. 261 - 272
Published: Dec. 18, 2013
Abstract
With
recent
technological
advances
in
tracking
devices,
movements
of
numerous
animal
species
can
be
recorded
with
a
high
resolution
over
large
spatial
and
temporal
ranges.
This
opens
promising
perspectives
for
understanding
how
an
perceives
reacts
to
the
multi‐scale
structure
its
environment.
Yet,
conceptual
issues
such
as
confusion
between
movement
scales
searching
modes
prevent
us
from
properly
inferring
processes
at
different
scales.
Here,
I
propose
build
on
stationarity
(i.e.
stability
statistical
parameters)
develop
consistent
theoretical
framework
which
are
modelled
generic
composite
multi‐mode
random
walk
model.
makes
it
possible
highlight
that
relevant
studied
animal,
nature
behavioural
operate
each
these
scales,
way
involved
any
given
scale
interact
those
operating
smaller
or
larger
explicitly
scale‐focused
approach
should
help
analyse
actual
by
relating,
mode,
values
main
model
parameters
(speed,
short‐
long‐term
persistences,
degree
stochasticity)
animal's
needs
skills
response
environment
multiple
Methods in Ecology and Evolution,
Journal Year:
2013,
Volume and Issue:
4(6), P. 520 - 530
Published: Feb. 13, 2013
Summary
Understanding
space
usage
and
resource
selection
is
a
primary
focus
of
many
studies
animal
populations.
Usually,
such
are
based
on
location
data
obtained
from
telemetry,
functions
(
RSF
s)
used
for
inference.
Another
important
wildlife
research
estimation
modeling
population
size
density.
Recently
developed
spatial
capture–recapture
SCR
)
models
accomplish
this
objective
using
individual
encounter
history
with
auxiliary
information
capture.
include
probability
that
intuitively
related
to
s,
but
date,
no
one
has
extended
allow
explicit
inference
about
selection.
In
paper
we
develop
the
first
statistical
framework
jointly
usage,
selection,
density
by
integrating
data,
as
camera
traps,
mist‐nets,
or
conventional
catch
telemetered
individuals.
We
provide
marginal
likelihood,
wherein
estimate
simultaneously
parameters
models.
Our
method
leads
increases
in
precision
estimating
ordinary
Importantly,
also
find
alone
can
RSFs
and,
such,
methods
be
sole
source
studying
space‐usage;
however,
will
higher
when
telemetry
available.
Finally,
standard
symmetric
stationary
may
not
fully
explain
variation
due
therefore
produce
biased
estimates
Consequently,
it
taken
into
consideration,
if
possible,
focused
methods.