The European Zoological Journal,
Journal Year:
2022,
Volume and Issue:
89(1), P. 510 - 526
Published: April 7, 2022
Climate
warming
and
land-use
change
are
reshuffling
the
distribution
of
wild
organisms
on
a
global
scale.
Some
species
may
expand
their
ranges
colonize
new
regions,
which
greatly
affect
ecological
interactions
among
pre-existing
colonizers.
In
last
decades,
such
processes
have
originated
unique
condition
sympatry
three
Eurasian
small
Falco
(common
kestrel
F.
tinnunculus,
lesser
naumanni,
red-footed
falcon
vespertinus)
in
intensively
cultivated
farmland
habitats
Po
Plain
(Northern
Italy).
This
provides
an
excellent
opportunity
to
investigate
patterns
spatial
niche
overlap
during
initial
phases
establishment
sympatry.
To
species,
we
relied
Environmental
Niche
Models
(ENMs)
based
widespread
breeding
occurrence
data
obtained
through
field
surveys
citizen
science
programs
(during
2018–2020
period).
ENMs
were
bioclimatic
variables
ensemble
modelling
framework.
We
estimated
species-specific
relative
contributions
each
climatic
variable
its
response
curves
effect.
Eventually,
generated
correlation
maps
potential
species'
distributions
derive
spatially-explicit
predictions
co-occurrence
areas
species.
Overall,
eco-climatic
determinants
similar,
resulting
strong
association
with
intensive
arable
lands
dry
continental
climate.
Consistently,
found
high
between
suitability
two
highly
suitable
located
Central-Eastern
area
Plain,
corresponding
core
range
both
Conversely,
common
emerged
as
habitat
generalist
was
widely
distributed
throughout
Plain.
Our
findings
suggest
that
recent
kestrels
falcons
promote
intra-guild
competition.
Global Change Biology,
Journal Year:
2022,
Volume and Issue:
28(14), P. 4276 - 4291
Published: April 20, 2022
Abstract
Identifying
climate
refugia
is
key
to
effective
biodiversity
conservation
under
a
changing
climate,
especially
for
mountain‐specialist
species
adapted
cold
conditions
and
highly
threatened
by
warming.
We
combined
distribution
models
(SDMs)
with
forecasts
identify
high‐elevation
bird
(
Lagopus
muta
,
Anthus
spinoletta
Prunella
collaris
Montifringilla
nivalis
)
in
the
European
Alps,
where
ecological
effects
of
changes
are
particularly
evident
predicted
intensify.
considered
future
(2041–2070)
(SSP585
scenario,
four
models)
identified
three
types
refugia:
(1)
in‐situ
potentially
suitable
both
current
conditions,
ex‐situ
(2)
only
according
all
or
(3)
at
least
out
conditions.
SDMs
were
based
on
very
large,
high‐resolution
occurrence
dataset
(2901–12,601
independent
records
each
species)
collected
citizen
scientists.
fitted
using
different
algorithms,
balancing
statistical
accuracy,
realism
predictive/extrapolation
ability.
selected
most
reliable
ones
consistency
between
training
testing
data
extrapolation
over
distant
areas.
Future
predictions
revealed
that
(with
partial
exception
A.
will
undergo
range
contraction
towards
higher
elevations,
losing
17%–59%
their
(larger
losses
L.
).
~15,000
km
2
Alpine
region
as
species,
which
44%
currently
designated
protected
areas
(PAs;
18%–66%
among
countries).
Our
findings
highlight
usefulness
spatially
accurate
scientists,
importance
model
extrapolating
Climate
refugia,
partly
included
within
PAs
system,
should
be
priority
sites
habitats,
habitat
degradation/alteration
human
activities
prevented
ensure
suitability
alpine
species.
Science,
Journal Year:
2024,
Volume and Issue:
386(6726), P. 1123 - 1128
Published: Dec. 5, 2024
Climate
change
is
expected
to
cause
irreversible
changes
biodiversity,
but
predicting
those
risks
remains
uncertain.
I
synthesized
485
studies
and
more
than
5
million
projections
produce
a
quantitative
global
assessment
of
climate
extinctions.
With
increased
certainty,
this
meta-analysis
suggests
that
extinctions
will
accelerate
rapidly
if
temperatures
exceed
1.5°C.
The
highest-emission
scenario
would
threaten
approximately
one-third
species,
globally.
Amphibians;
species
from
mountain,
island,
freshwater
ecosystems;
inhabiting
South
America,
Australia,
New
Zealand
face
the
greatest
threats.
In
line
with
predictions,
has
contributed
an
increasing
proportion
observed
since
1970.
Besides
limiting
greenhouse
gases,
pinpointing
which
protect
first
be
critical
for
preserving
biodiversity
until
anthropogenic
halted
reversed.
Diversity,
Journal Year:
2025,
Volume and Issue:
17(2), P. 109 - 109
Published: Feb. 1, 2025
Ural
owls
are
one
of
the
largest
in
Europe,
exhibiting
known
aggressive
behaviour
toward
other
raptors.
They
to
interact
with
nearly
all
sympatric
and
many
diurnal
To
summarise
these
interactions,
a
literature
search
was
undertaken
Web
Sciences
Scopus
databases
using
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
methodology
as
well
principal
books
on
owl
biology.
The
revealed
22
relevant
publications
that
(along
book
data)
described
owl’s
relations
seven
six
raptor
species.
is
subordinate
only
predators
like
golden
eagles
eagles,
although
its
chicks
be
killed.
Contrary
that,
shape
distribution
numerous
species,
mostly
by
strong
competition
(e.g.,
forcing
tawny
breed
suboptimal
habitats)
or
predation
(killing
smaller
raptors).
Their
occurrence
could
also
protective
some
species
boreal
thanks
removal
intermediate
predators.
goshawks
interesting,
which
seem
live
balance—temporal
avoidance
activity
frequent
co-occurrence.
Thanks
their
association
old-growth
forests
impact
territories,
act
keystone
mountainous
Europe.
Considering
this
ecosystem
service,
should
effectively
protected
e.g.,
designing
forest-management-free
zones
around
nesting
sites.
Global Change Biology,
Journal Year:
2025,
Volume and Issue:
31(2)
Published: Feb. 1, 2025
ABSTRACT
Food
webs
represent
an
important
nexus
between
biodiversity
and
ecosystem
functioning,
yet
considering
changes
in
food
around
the
world
has
been
limited
by
data
availability.
Previous
studies
have
predicted
web
collapses
coextinction,
but
structure
less
investigated
under
climate
warming
anthropogenic
pressures
on
a
global
scale.
We
systematically
amassed
information
about
species'
diets,
traits,
distributions,
habitat
use,
phylogenetics
real
used
machine
learning
to
predict
meta‐food
of
terrestrial
vertebrates
land‐use
changes.
By
year
2100,
vertebrate
are
expected
decrease
size
32%
trophic
links
49%.
Projections
declines
over
25%
modularity,
predator
generality,
diversity
groups.
Increased
dispersal
could
ameliorate
these
trends
indicate
disproportionate
vulnerability
regional
webs.
Unlike
many
previous
studies,
this
work
combines
extensive
empirical
with
advanced
modeling
techniques,
providing
more
detailed
spatially
explicit
prediction
how
will
respond
Overall,
our
study
predicts
undergo
drastic
heterogeneous
structural
Diversity and Distributions,
Journal Year:
2023,
Volume and Issue:
29(4), P. 572 - 585
Published: Feb. 6, 2023
Abstract
Aim
Despite
the
complexity
of
population
dynamics,
most
studies
concerning
current
changes
in
bird
populations
reduce
trajectory
change
to
a
linear
trend.
This
may
hide
more
complex
patterns
reflecting
responses
changing
anthropogenic
pressures.
Here,
we
address
this
by
means
multivariate
analysis
and
attribute
different
components
dynamics
potential
drivers.
Location
Czech
Republic.
Methods
We
used
data
on
trajectories
(1982–2019)
111
common
breeding
species,
decomposed
them
into
independent
principal
component
(PCA),
related
these
multiple
drivers
comprising
climate,
land
use
species'
life
histories.
Results
The
first
two
ordination
axes
explained
substantial
proportion
variability
(42.0
12.5%
variation
PC1
PC2
respectively).
axis
captured
Species
with
increasing
were
characterized
mostly
long
lifespan
warmer
climatic
niches.
effect
habitat
was
less
pronounced
but
still
significant,
negative
trends
being
typical
for
farmland
birds,
while
positive
birds
deciduous
forests.
second
contrast
between
hump‐shaped
U‐shaped
even
strongly
associated
species
traits.
migrating
longer
distances
narrower
temperature
niches
revealed
trends,
so
that
their
increased
before
2000
then
declined.
These
are
supported
total
abundances
respective
ecological
groups.
Main
Conclusion
Although
transformation
apparently
drives
some
groups,
climate
traits
represent
crucial
central
European
birds.
Decomposing
separate
brings
unique
insights
non‐trivial
drivers,
potentially
indicate
regime
effects
biodiversity.
Oecologia,
Journal Year:
2022,
Volume and Issue:
199(3), P. 499 - 512
Published: Feb. 22, 2022
Understanding
the
effects
of
landscape
composition
and
configuration,
climate,
topography
on
bird
diversity
is
necessary
to
identify
distribution
drivers,
potential
impacts
land
use
changes,
future
conservation
strategies.
We
surveyed
communities
in
a
study
area
located
Central
Alps
(Autonomous
Province
South
Tyrol,
northeast
Italy),
by
means
point
counts
investigated
taxonomic
functional
at
two
spatial
scales
along
gradients
use/land
cover
(LULC)
intensity
elevation.
also
explored
how
environmental
variables
influence
traits
red-list
categories.
Models
combining
drivers
different
types
were
highly
supported,
pointing
towards
synergetic
communities.
The
model
containing
only
LULC
compositional
was
most
supported
one
among
single-group
models:
plays
crucial
role
shaping
local
biodiversity
hence
communities,
even
across
broad
gradients.
Particularly
relevant
wetlands,
open
habitats,
agricultural
mosaics
made
up
small
habitat
patches
settlements,
ecotonal
structural
elements
settings,
continuous
forests.
To
conserve
Alps,
planning
management
practices
promoting
maintaining
fields,
elements,
mosaic
should
be
while
preserving
forests
same
time.
Additionally,
pastures,
extensively
used
meadows,
wetlands
are
key
conservation.
These
strategies
might
mitigate
global
change
other
European
mountain
areas.
Frontiers of Biogeography,
Journal Year:
2022,
Volume and Issue:
14(1)
Published: Jan. 20, 2022
Spatially
explicit
biogeographic
models
are
among
the
most
used
methods
in
conservation
biogeography,
with
correlative
species
distribution
(SDMs)
being
popular
them.
SDMs
can
identify
potential
for
species’
and
community
range
shifts
under
climate
change,
thus
inspire,
inform,
guide
complex
adaptive
management
planning
efforts
such
as
collaborative
transboundary
frameworks.
However,
rarely
developed
collaboratively,
which
would
be
ideal
applications
of
models.
Further,
that
applied
to
often
do
not
follow
best
practices
field,
particularly
important
change
contexts
model
extrapolation
into
potentially
novel
climates
is
necessary.
Thus,
while
there
substantial
promise,
machine-learning
based
SDM
approaches,
also
many
pitfalls
consider
when
applying
conservation,
especially
context
change.
Here,
we
summarize
these
key
steps
mitigate
them
maximize
promise
facilitate
We
argue
modeling
capacity
must
elevated
practitioners
they
easily
implement
using
SDMs,
regarding:
1)
avoiding
overcomplexity,
2)
addressing
input
data
bias,
3)
accounting
uncertainty
extrapolations
projections.
While
our
discussion
centers
mainly
on
opportunities
algorithm,
Maxent,
suggestions
generalized
a
other
tools.
Overall,
improved
training
in,
tools
for,
implementation
hold
great
help
complex,
collaborations
long-term