Journal of Avian Biology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 18, 2024
The
Central
Valley
of
California
(CVC)
and
Mid‐Atlantic
(MA)
in
the
U.S.
are
both
critical
sites
for
nationwide
food
security,
many
waterfowl
species
annually,
especially
during
winter,
providing
feeding
roosting
locations
a
variety
species.
Mapping
distributions,
using
NEXRAD,
may
aid
adaptive
management
important
habitat
allow
various
government
agencies
to
better
understand
interface
between
wild
domestic
birds
commercial
agricultural
practices.
We
used
9
years
(2014–2023)
data
from
US
NEXRAD
network
model
winter
relative
abundance
CVC
MA
as
function
weather,
temporal
period,
environmental
conditions,
landcover
characteristics
boosted
regression
tree
modelling.
were
able
quantify
variability
effect
size
28
different
covariates
across
space
time
within
two
geographic
regions
which
host
high
density
nationally
agriculture.
In
general,
(distance
features),
condition
(wetness
index)
predictors
had
strongest
on
predicting
wintering
regions,
while
effects
land
cover
composition
more
regionally
temporally
specific.
Increased
daily
mean
temperature
was
major
predictor
increasing
throughout
winter.
Increasing
precipitation
differing
MA,
decreasing
general
CVC.
strongly
tied
flooding
landscape
rice
availability,
whereas
where
water
is
less
limiting,
generally
governed
by
waste
grain
availability
emergent
wetland
landscape.
Waterfowl
higher
nearer
Atlantic
coast
lakes,
they
lakes.
Our
findings
promote
understanding
spatial
associations
features
conservation
biosecurity
protocols.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Dec. 4, 2023
As
billions
of
nocturnal
avian
migrants
traverse
North
America,
twice
a
year
they
must
contend
with
landscape
changes
driven
by
natural
and
anthropogenic
forces,
including
the
rapid
growth
artificial
glow
night
sky.
While
airspaces
facilitate
migrant
passage,
terrestrial
landscapes
serve
as
essential
areas
to
restore
energy
reserves
often
act
refugia-making
it
critical
holistically
identify
stopover
locations
understand
drivers
use.
Here,
we
leverage
over
10
million
remote
sensing
observations
develop
seasonal
contiguous
United
States
layers
bird
density.
In
70%
our
models,
skyglow
highly
influential
consistently
positive
predictor
migration
density
across
States.
This
finding
points
potential
an
expanding
threat
migrants:
peri-urban
illuminated
may
ecological
traps
at
macroscales
that
increase
mortality
birds
during
migration.
Frontiers in Veterinary Science,
Journal Year:
2024,
Volume and Issue:
11
Published: March 6, 2024
This
paper
discusses
the
potential
health
risks
and
benefits
to
tagged
wildlife
from
use
of
radio
tracking,
telemetry,
related
microchip
data-logger
technologies
used
study,
monitor
track
mostly
in
their
native
habitats.
Domestic
pets,
especially
canids,
are
briefly
discussed
as
radio-tagging
devices
also
on/in
them.
Radio
tracking
uses
very
high
frequency
(VHF),
ultra-high
(UHF),
global
positioning
system
(GPS)
technologies,
including
via
satellites
where
platform
terminal
transmitters
(PTTs)
used,
well
geo-locating
capabilities
using
satellites,
radio-frequency
identification
(RFID)
chips,
passive
integrated
responder
(PIT)
tags,
among
others.
Such
have
resulted
cutting-edge
findings
worldwide
that
served
protect
better
understand
behaviors
myriad
species.
As
a
result,
scientists,
field
researchers,
technicians,
fish
biologists
managers,
plus
other
veterinarian
specialists,
frequently
opt
for
its
without
fully
understanding
ramifications
target
species
behaviors.
These
include
negative
physiological
effects
electromagnetic
fields
(EMF)
which
many
nonhuman
exquisitely
sensitive,
direct
placement/use-attachment
impacts
collars,
transmitters,
implants
themselves.
provides
pertinent
studies,
suggests
best
management
practices,
compares
currently
available
those
considering
and/or
such
technologies.
The
primary
focus
is
on
environmental
risk/benefit
decisions
should
come
into
play,
ethical
considerations,
along
with
recommendations
more
caution
communities
before
first
place.
Ornithological Applications,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Abstract
Our
ability
to
forecast
the
spatial
and
temporal
patterns
of
ecological
processes
at
continental
scales
has
drastically
improved
over
past
decade.
Yet,
predicting
broad
while
capturing
fine-scale
is
a
central
challenge
forecasting
given
inherent
tension
between
grain
extent,
whereby
enhancing
one
often
diminishes
other.
We
leveraged
10
years
terrestrial
atmospheric
data
(2012–2021)
develop
high-resolution
(2.9
×
2.9
km),
radar-driven
bird
migration
model
for
highly
active
region
Mississippi
flyway.
Based
on
suite
candidate
models
we
examined,
adding
predictors
performance
only
marginally,
whereas
spatially
distant
predictors,
particularly
air
temperature
wind
speed
from
focal
regions,
were
major
contributors
our
top
model,
explaining
56%
variation
in
regional
activity.
Among
which
ranked
considerably
lower
than
terms
variable
importance,
vegetation
phenology,
artificial
light
night,
percent
forest
cover
most
important
predictors.
Furthermore,
scale
this
demonstrate
capacity
generate
real-time,
forecasts
United
States
that
explained
up
65%
national
variation.
study
demonstrates
an
approach
increasing
resolution
forecasts,
could
facilitate
integration
radar
with
other
sources
inform
dynamic
conservation
efforts
local
more
relevant
threats,
such
as
anthropogenic
night.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 7436 - 7447
Published: Jan. 1, 2024
Weather
radar
holds
the
capability
to
monitor
extensive
migration
of
bird
and
insect
species.
In
particular,
polarimetric
weather
can
enhance
aerial
ecological
monitoring
by
quantifying
target
shape
through
measurement
polarization
moments.
This
paper
introduces
an
intelligent
algorithm
classify
using
data.
A
image
dataset
was
formed
intentionally
curating
typical
migratory
data
birds
insects
captured
radar.
Next,
point
features
spatial
texture
were
extracted
from
images
in
for
training
a
classifier
supervised
learning
approach,
resulting
classification
accuracy
93.56%.
Furthermore,
importance
analyzed,
uncovering
that
most
influential
attribute
reflectivity
factor
at
33.83%,
surpassing
cumulative
influence
other
dual-polarization
addition,
textures
also
played
essential
role
classifier,
collectively
weighing
35.65%.
Lastly,
proposed
method
validated
with
data,
attaining
level
95.36%.
Global Ecology and Biogeography,
Journal Year:
2022,
Volume and Issue:
31(11), P. 2219 - 2230
Published: July 13, 2022
Measuring
avian
migration
can
prove
challenging
given
the
spatial
scope
and
diversity
of
species
involved.
No
one
monitoring
technique
provides
all
pertinent
measures
needed
to
capture
this
macroscale
phenomenon
-
emphasizing
need
for
data
integration.
Migration
phenology
is
a
key
metric
characterizing
large-scale
dynamics
has
been
successfully
quantified
using
weather
surveillance
radar
(WSR)
community
science
observations.
Separately,
both
platforms
have
their
limitations
measure
different
aspects
bird
migration.
We
sought
make
formal
comparison
estimates
derived
from
WSR
eBird
which
we
predict
positive
correlation.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 25, 2023
A
bstract
Tropical
tree
reproductive
phenology
is
sensitive
to
changing
climate,
but
inter-individual
and
interannual
variability
at
the
regional
scale
poorly
understood.
While
large-scale
long-term
datasets
of
environmental
variables
are
available,
needs
be
measured
in-site,
limiting
spatiotemporal
scales
data.
We
leveraged
a
unique
dataset
assembled
by
SeasonWatch,
citizen-science
monitoring
programme
in
India
assess
correlates
flowering
three
ubiquitous
economically
important
species
-
jackfruit,
mango
tamarind
south-western
Indian
state
Kerala.
explored
possibility
predicting
(i)
status
any
given
time,
knowing
recent
conditions,
(ii)
conditions
that
predict
onset
(iii)
patterns
these
predictors
aid
future
hypotheses
for
patterns.
used
165006
observations
spread
over
19591
individual
trees
9
years,
fortnight
preceding
each
observation
derived
from
remotely
sensed
(ERA5-LAND)
model
using
two
statistical
approaches
machine
learning
generalised
linear
mixed
models.
found
strong
influences
temperature
rainfall
on
phenophase
presence
soil
moisture
minimum
had
high
importance
values
under
models
presence/absence
effects
flowering.
The
effect
time-varying
factors,
temperature,
solar
radiation,
were
also
modified
static
like
elevation,
aspect,
urbanisation.
Taken
together,
our
results
show
pervasive
influence
climate
tropical
its
among
years
individuals.
Our
become
increasingly
face
large
heterogenous
change
this
landscape
other
regions.
demonstrate
potential
limitations
making
testing
predictions
predictive
science
landscapes.
O
pen
R
esearch
S
tatement
Data
already
published
publicly
with
those
items
properly
cited
submission.
SeasonWatch
data
archived
as
Ramaswami
(2022).
Ecography,
Journal Year:
2023,
Volume and Issue:
2023(8)
Published: May 30, 2023
More
than
two
billion
birds
migrate
through
the
Gulf
of
Mexico
each
spring
en
route
to
breeding
grounds
in
USA
and
Canada.
This
region
has
a
long
history
complex
natural
anthropogenic
environments
as
northern
coast
provides
first
possible
stopover
habitats
for
migrants
making
nonstop
trans‐Gulf
crossings
during
migration.
However,
intense
activity
region,
which
is
expanding
rapidly
at
present,
makes
vulnerable
multitude
obstacles
increasingly
fragments
alters
these
habitats.
Understanding
timing
migrants'
overwater
arrivals
biological
value
our
understanding
migration
ecology
relative
decision‐making
flights,
imperative
advancing
conservation
this
critical
identification
key
times
direct
actions
(e.g.
temporary
halting
wind
turbines,
reduction
light
pollution).
We
explored
10
years
weather
surveillance
radar
data
from
five
sites
along
quantify
daily
intensity
arriving
migrants.
On
scale,
we
found
that
migrant
peaked
an
average
nine
hours
after
local
sunrise,
occurring
earliest
easternmost
sites.
seasonal
level,
greatest
number
occurred
between
late
April
early
May,
with
peak
latest
westernmost
Overall
across
all
was
decreased
moving
farther
east.
These
findings
emphasize
differential
spatial
temporal
patterns
use
by
migrating
birds,
information
essential
improving
supporting
data‐driven
approaches
migratory
passing
region.
Journal of Animal Ecology,
Journal Year:
2024,
Volume and Issue:
93(7), P. 836 - 848
Published: May 13, 2024
Abstract
Climate
change
is
altering
the
timing
of
seasonal
events
for
many
taxa.
There
limited
understanding
how
northward/southward
songbird
migration
follows
or
by
latitudinal
progression
transitions.
Consistent
environmental
conditions
that
migrating
birds
encounter
across
latitudes
likely
represent
correlate
with
important
resources
limiting
factors
migration.
We
tested
whether
migratory
passage—observed
via
radar—consistently
tracked
land
surface
variables
and
phenophases
in
US
Central
Flyway
both
spring
fall.
The
daily
temperatures,
precipitation
vegetation
greenness
occurring
on
10%,
50%
90%
cumulative
passage
dates
changed
substantially
latitude,
indicating
most
migrants
experienced
rapidly
changing
as
they
headed
north
south.
Temperature
did
not
limit
either
season.
Peak
southern
occurred
nearly
40
days
after
green
wave,
northward
growth,
but
caught
up
to
green‐up
at
48°
N.
Spring
phenology
may
have
evolved
prioritize
earlier
arrival
breeding.
Across
all
latitudes,
peak
fall
coincided
same
phenophase,
an
interval
26
prior
dormancy
onset.
Migrants
rely
phenological
during
stopovers.
Considering
(a)
a
continental
scale,
(b)
previous
studies
local
scales
demonstrated
importance
fruit
stopover
(c)
fruiting
North
America
later
over
time
while
advancing,
potential
mismatch
between
bird
urgently
needs
further
investigation.