Abstract
Background
For
many
migratory
species,
inexperienced
(naïve)
individuals
reach
remote
non-breeding
areas
independently
using
one
or
more
inherited
compass
headings
and,
potentially,
magnetic
signposts
to
gauge
where
switch
between
headings.
Inherited
magnetic-based
migration
has
not
yet
been
assessed
as
a
population-level
process,
particularly
across
strong
geomagnetic
gradients
long-term
shifts
(hereafter,
secular
variation)
could
create
mismatches
with
Therefore,
it
remains
unclear
whether
and
potentially
adapt
variation
under
natural
selection.
Methods
To
address
these
unknowns,
we
modelled
orientation
programs
an
evolutionary
algorithm
incorporating
global
data
(1900–2023).
Modelled
population
mixing
incorporated
both
natal
dispersal
trans-generational
inheritance
of
signposts,
including
intrinsic
(stochastic)
variability
in
inheritance.
Using
the
model,
robustness
trans-hemispheric
songbird
whose
Nearctic
breeding
grounds
have
undergone
rapid
(mean
34°
clockwise
drift
declination,
1900–2023),
which
travels
via
Europe
Africa.
Results
Model-evolved
magnetic-signposted
was
overall
successful
throughout
124-year
period,
60–90%
mean
arrival
broad
range
plausible
precision
gauging
signposts.
Signposted
reduced
trans-Atlantic
flight
distances
up
twice
compared
non-signposted
migration.
Magnetic
shifted
plastically
response
16°–17°
among
programs),
whereas
signpost
latitudes
were
constrained
(3°–5°
shifts).
This
plasticity
required
(model-evolved
σ
≈
2.6°
standard
error),
preventing
from
causing
unsustainable
open-ocean
flights.
Conclusions
Our
study
supports
potential
viability
illustrates
generally
how
can
mediate
constrain
evolution
routes,
environmental
change.
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(4)
Опубликована: Март 23, 2024
Abstract
This
paper
innovatively
proposes
the
Black
Kite
Algorithm
(BKA),
a
meta-heuristic
optimization
algorithm
inspired
by
migratory
and
predatory
behavior
of
black
kite.
The
BKA
integrates
Cauchy
mutation
strategy
Leader
to
enhance
global
search
capability
convergence
speed
algorithm.
novel
combination
achieves
good
balance
between
exploring
solutions
utilizing
local
information.
Against
standard
test
function
sets
CEC-2022
CEC-2017,
as
well
other
complex
functions,
attained
best
performance
in
66.7,
72.4
77.8%
cases,
respectively.
effectiveness
is
validated
through
detailed
analysis
statistical
comparisons.
Moreover,
its
application
solving
five
practical
engineering
design
problems
demonstrates
potential
addressing
constrained
challenges
real
world
indicates
that
it
has
significant
competitive
strength
comparison
with
existing
techniques.
In
summary,
proven
value
advantages
variety
due
excellent
performance.
source
code
publicly
available
at
https://www.mathworks.com/matlabcentral/fileexchange/161401-black-winged-kite-algorithm-bka
.
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(12)
Опубликована: Март 4, 2024
How
animals
refine
migratory
behavior
over
their
lifetime
(i.e.,
the
ontogeny
of
migration)
is
an
enduring
question
with
important
implications
for
predicting
adaptive
capacity
migrants
in
a
changing
world.
Yet,
our
inability
to
monitor
movements
individuals
from
early
life
onward
has
limited
understanding
migration.
The
exploration–refinement
hypothesis
posits
that
learning
shapes
migration
long-lived
species,
resulting
greater
exploratory
followed
by
more
rapid
and
direct
movement
during
later
life.
We
test
examining
how
white
storks
(
Ciconia
ciconia
)
balance
energy,
time,
information
as
they
develop
first
years
Here,
we
show
young
birds
reduce
energy
expenditure
flight
while
also
increasing
gain
exploring
new
places
As
age
experience,
older
stop
instead
move
quickly
directly,
flight.
During
spring
migration,
innovated
novel
shortcuts
transition
into
adulthood,
suggesting
reliance
on
spatial
memory
acquired
through
learning.
These
incremental
refinements
provide
support
importance
individual
within
long-distance
Environmental Science & Technology,
Год журнала:
2024,
Номер
58(29), С. 12909 - 12920
Опубликована: Июль 11, 2024
Seabirds
are
often
considered
sentinel
species
of
marine
ecosystems,
and
their
blood
eggs
utilized
to
monitor
local
environmental
contaminations.
Most
seabirds
breeding
in
the
Arctic
migratory
thus
exposed
geographically
distinct
sources
contamination
throughout
year,
including
per-
polyfluoroalkyl
substances
(PFAS).
Despite
abundance
high
toxicity
PFAS,
little
is
known
about
whether
concentrations
at
sites
reliably
reflect
or
exposure
distant
wintering
areas.
We
tested
this
by
combining
movement
tracking
data
PFAS
analysis
(nine
compounds)
from
prelaying
black-legged
kittiwakes
(
Current Biology,
Год журнала:
2024,
Номер
34(9), С. 2030 - 2037.e3
Опубликована: Апрель 17, 2024
Migration
can
be
an
energetically
costly
behavior
with
strong
fitness
consequences
in
terms
of
mortality
and
reproduction.1Sillett
T.S.
Holmes
R.T.
Variation
survivorship
a
migratory
songbird
throughout
its
annual
cycle.J.
Anim.
Ecol.
2002;
71:
296-308https://doi.org/10.1046/j.1365-2656.2002.00599.xCrossref
Scopus
(717)
Google
Scholar,2Alerstam
T.
Hedenström
A.
Åkesson
S.
Long-distance
migration:
evolution
determinants.Oikos.
2003;
103:
247-260https://doi.org/10.1034/j.1600-0706.2003.12559.xCrossref
(891)
Scholar,3Keefer
M.
Peery
C.
Heinrich
Temperature-mediated
en
route
migration
travel
rates
endangered
Snake
River
sockeye
salmon.Ecology
Freshwater
Fish.
2008;
17:
136-145https://doi.org/10.1111/j.1600-0633.2007.00267.xCrossref
(91)
Scholar,4Klaassen
R.H.
Hake
Strandberg
R.
Koks
B.J.
Trierweiler
Exo
K.M.
Bairlein
F.
Alerstam
When
where
does
occur
birds?
Direct
evidence
from
long-term
satellite
tracking
raptors.J.
2014;
83:
176-184https://doi.org/10.1111/1365-2656.12135Crossref
PubMed
(362)
Scholar,5Lok
Overdijk
O.
Piersma
The
cost
spoonbills
suffer
higher
during
trans-Saharan
spring
migrations
only.Biol.
Lett.
2015;
1120140944https://doi.org/10.1098/rsbl.2014.0944Crossref
(98)
Scholar,6Loonstra
A.H.J.
Verhoeven
M.A.
Senner
N.R.
Both
Adverse
wind
conditions
northward
Sahara
crossings
increase
the
in-flight
Black-tailed
Godwits.Ecol.
2019;
22:
2060-2066https://doi.org/10.1111/ele.13387Crossref
(48)
Scholar,7Alerstam
Högstedt
G.
Bird
reproduction
relation
to
habitats
for
survival
breeding.Ornis
Scand.
1982;
13:
25-37https://doi.org/10.2307/3675970Crossref
(78)
Scholar,8George
R.W.
Evolution
life
cycles,
including
migration,
spiny
lobsters
(Palinuri-
dae).N.
Z.
J.
Mar.
Freshw.
Res.
2005;
39:
503-514https://doi.org/10.1080/00288330.2005.9517329Crossref
(36)
Scholar,9Hebblewhite
Merrill
E.
McDermid
A
multi-scale
test
forage
maturation
hypothesis
partially
ungulate
population.Ecol.
Monogr.
78:
141-166https://doi.org/10.1890/06-1708.1Crossref
(370)
Scholar,10Somveille
Rodrigues
A.S.L.
Manica
Why
do
birds
migrate?
macroecological
perspective.Glob.
Biogeogr.
24:
664-674https://doi.org/10.1111/geb.12298Crossref
(131)
Scholar,11Flack
Aikens
E.O.
Kölzsch
Nourani
Snell
K.R.S.
Fiedler
W.
Linek
N.
Bauer
H.G.
Thorup
K.
Partecke
et
al.New
frontiers
bird
research.Curr.
Biol.
2022;
32
(R1187-R1199)https://doi.org/10.1016/j.cub.2022.08.028Abstract
Full
Text
PDF
(19)
Scholar
Migrants
should
select
routes
minimize
their
costs,
but
both
costs
benefits
may
change
experience.12Sergio
Tanferna
De
Stephanis
Jiménez
L.L.
Blas
Tavecchia
Preatoni
D.
Hiraldo
Individual
improvements
selective
shape
lifelong
performance.Nature.
515:
410-413https://doi.org/10.1038/nature13696Crossref
(237)
Scholar,13Aikens
Wikelski
Flack
Learning
shapes
development
behavior.Proc.
Natl.
Acad.
Sci.
USA.
2024;
121e2306389121https://doi.org/10.1073/pnas.2306389121Crossref
(1)
Scholar,14Penteriani
V.
Lamamy
Kojola
I.
Heikkinen
Vermeulen
del
Mar
Delgado
Age
Ain't
Nothing
But
Number:
factors
other
than
age
brown
bear
movement
patterns.Animal
Behaviour.
183:
61-67https://doi.org/10.1016/j.anbehav.2021.10.020Crossref
(2)
This
raises
question
whether
experience
changes
how
individuals
routes.
Here,
we
investigate
effect
on
selection
criteria
collectively
migrating
soaring
bird,
white
stork
(Ciconia
ciconia).
We
perform
step-selection
analysis
longitudinal
dataset
158
storks
over
up
9
years
quantify
they
based
social
atmospheric
environments
examine
this
age.
find
clear
ontogenetic
shifts
criteria.
Juveniles
choose
that
have
good
high
conspecific
densities.
Yet,
as
gain
experience,
storks'
availability
information
reduces—after
fifth
experienced
also
low
Thus,
our
results
suggest
age,
gradually
replace
gleaned
gained
allowing
them
shift
timing
increasing
timescale
at
which
Journal of Avian Biology,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 10, 2024
Animal
migration
is
a
fascinating
phenomenon
that
has
puzzled
mankind
since
the
time
of
ancient
Greece.
It
process
widespread
across
varied
range
taxa
and
it
shines
especially
in
birds
which,
because
their
mobility,
display
an
amazing
diversity
routes
strategies.
With
advances
tracking
devices
improvements
sequencing
technologies,
recent
work
provides
support
for
strong
genetic
influence
several
migratory
traits
different
species.
However,
there
little
to
no
evidence
any
common
sequence‐based
mechanism
behind
this
complex
behaviour,
nor
unifying
principle
explaining
it.
We
review
how
focus
understanding
basis
should
be
shifted
towards
studying
regulatory
mechanisms
gene
expression
instead
traditional
candidate
approach.
Importantly,
role
as
underlying
driver
phenotype
can
resolve
opposing
often
views
mainly
either
under
or
environmental
influence.
emphasise
research
take
new
directions,
reinforcing
probably
not
regulated
birds.
Here,
we
notion
1)
only
evolve
fast
if
quantitative
trait
with
large
standing
variation;
2)
main
drivers
evolution
seem
diverse
expression–regulation
rather
than
gene‐level
polymorphisms;
3)
non‐coding
sequences
genome,
epigenetics
structural
variation
might
more
important
shaping
previously
thought.
Further,
present
hypotheses
outlining
these
bird
species
defining
certain
traits.
Ornithological Applications,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 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.
Abstract
Avian
navigation
has
fascinated
researchers
for
many
years.
Yet,
despite
a
vast
amount
of
literature
on
the
topic
it
remains
mystery
how
birds
are
able
to
find
their
way
across
long
distances
while
relying
only
cues
available
locally
and
reacting
those
fly.
Navigation
is
multi-modal,
in
that
may
use
different
at
times
as
response
environmental
conditions
they
themselves
in.
It
also
operates
spatial
temporal
scales,
where
strategies
be
used
parts
journey.
This
multi-modal
multi-scale
nature
however
been
challenging
study,
since
would
require
long-term
tracking
data
along
with
contemporaneous
co-located
information
cues.
In
this
paper
we
propose
new
alternative
data-driven
paradigm
study
avian
navigation.
That
is,
instead
taking
traditional
theory-based
approach
based
posing
research
question
then
collecting
navigation,
approach,
large
amounts
data,
not
purposedly
collected
specific
question,
analysed
identify
as-yet-unknown
patterns
behaviour.
Current
technological
developments
have
led
collections
both
animal
which
openly
scientists.
These
open
combined
exploratory
using
mining,
machine
learning
artificial
intelligence
methods,
can
support
identification
unexpected
during
migration,
lead
better
understanding
navigational
decision-making
scales.