Ecological Solutions and Evidence,
Journal Year:
2024,
Volume and Issue:
5(4)
Published: Oct. 1, 2024
Abstract
Global
environmental
change
will
cause
shifts
in
species
communities,
with
non‐native
likely
replacing
native
ones
at
an
unprecedented
rate.
This
have
consequences
for
biodiversity
and
ecosystem
services,
addition
to
the
ecological
economic
damage
caused
by
those
that
are
invasive.
Understanding
general
patterns
driving
distributions
of
is
therefore
vital,
but
no
study
has
compared
yet
whether
variables
correlate
a
species'
presence
differ
between
two
groups
other
than
local
scale
often
very
limited
sample
size.
In
this
study,
we
focus
on
141
congeneric
plant
pairs
Switzerland.
framework
correlative
distribution
models,
used
newly
developed
methods
efficient
automated
selection
parsimonious
number
predictor
determine
which
ones,
out
large
candidate
set
eight
classes,
strongest
explanatory
power
both
groups.
Our
results
indicated
influence
significantly
different
ways.
Climate
was
far
determinant
distributions,
although
it
had
more
models.
Models
were
influenced
anthropogenic
factors,
land
use
forest
cover.
The
also
associated
habitats
lower
mean
naturality
value
species.
These
findings
provide
novel
empirical
evidence
factors
plants'
guidance
management.
Practical
implications:
models
increasingly
frequently
advised
tool
conservation
management
our
guidelines
covariates
should
be
specifically
considered
assess
habitat
suitability
versus
former
group
particularly
important
research,
as,
time,
they
may
turn
addition,
areas
close
infrastructure
scanned
regularly
incipient
colonizations
species,
especially
as
uninvaded
areas,
such
high
mountains.
Global Ecology and Conservation,
Journal Year:
2024,
Volume and Issue:
51, P. e02875 - e02875
Published: March 6, 2024
The
non-breeding
distribution
and
ecology
of
many
migratory
songbirds
are
often
poorly
studied,
but
very
relevant
for
their
conservation
in
a
changing
climate.
Snow
Bunting
is
the
most
northerly
breeding
passerine
worldwide,
winters
temperate/temperate-cold
areas.
Characterised
by
specialisation
cold
climate
strong
connectivity,
it
underwent
recent
range
contraction
declining
because
rising
winter
temperatures.
Investigating
its
migration
wintering
to
understand
possible
impacts
change.
We
used
citizen
science
records
describe
model
species
during
Italy,
evaluated
cultural
relevance.
Buntings
occur
Italy
November-mid
April,
mostly
clustered
northern
and,
particularly,
north-eastern
regions
(coasts
plateaus
mountain
regions);
all
observations
involving
>12
individuals
occurred
at
single
site
Lessinia
plateau.
elevation
pattern
(both
migration)
showed
bimodal
(mostly
sea
level
middle-elevation
mountains,
peaking
around
1,500
m
asl).
Species
Distribution
Models
that
suitable
areas
largely
coincide
with
from
where
occurred,
were
similar
migration.
Such
characterised
relatively
dry
climates,
flat
or
gentle
sloping
terrain
occupied
open
semi-open
habitats
(grassland,
pastures,
sandy
habitats).
had
much
higher
occurrence
rates
social
media/networks
than
other
bunting
species,
indicating
nature
recreationists
have
particular
preference
this
which
can
be
as
flagship
species.
will
likely
suffer
ongoing
variation,
preserving
landscapes,
grassland
dominated
habitats,
key
maintenance
stop-over
sites.
At
same
time,
would
also
benefit
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 22, 2024
ABSTRACT
Climate
change
is
having
dramatic
impacts
on
the
distribution
of
animals.
Birds,
and
especially
steppe-land
birds,
are
particularly
sensitive
to
climate
identifying
areas
that
critical
for
their
conservation
pivotal,
as
well
estimating
expected
impact
these
under
different
land
use
scenarios.
In-situ
refugia
(areas
suitable
both
current
future
climates)
valuable
climate-sensitive
species,
therefore
important
identify
them
evaluate
coverage
by
protected
areas.
Via
species
modelling,
we
aimed
in-situ
in
Western
Palearctic
Eurasian
Stone-curlew
Burhinus
oedicnemus
,
an
umbrella
steppic
concern.
We
used
a
comprehensive
dataset
occurrences
breeding
period
fine-tune
Maxent
model
project
it
three
carbon
emission
scenarios
increasing
severity
year
2050.
then
identified
performed
gap
analysis
percentage
falling
within
network
currently
In
all
modelled
northward
expansion
habitats
was
predicted,
had
similar
extents,
with
slight
increase
overall
suitability
more
severe
According
our
results,
has
potential
maintain
viable
populations
Palearctic,
even
though
dispersal
limitations
might
hinder
colonization
newly
were
mainly
outside
areas,
Northern
Africa
Middle
East.
Therefore,
advocate
targeted
actions
promote
this
other
global
environmental
change.
Diversity,
Journal Year:
2024,
Volume and Issue:
16(9), P. 563 - 563
Published: Sept. 9, 2024
Climate
change
is
a
major
threat
to
the
Middle
East
and
North
Africa
(MENA)
region,
which
can
cause
significant
harm
its
plant
animal
species.
We
predicted
habitat
distribution
of
Cataglyphis
nodus
(Brullé,
1833)
in
MENA
using
MaxEnt
models
under
current
future
climate
conditions.
Our
analysis
indicates
that
cooler
regions
are
projected
experience
temperature
increases
1–2
°C
by
2040
2–4
2070s.
Similarly,
warmer
may
anticipate
rises
0.5–2
model
results
for
show
good
agreement
with
observations
(mean
area
curve
value
0.975
mean
true
statistical
skill
0.8),
indicating
potential
suitability
C.
nodus.
Significant
factors
affecting
elevation,
monthly
precipitation
coldest
quarter,
seasonality,
amount
driest
month.
The
research
predicts
Shared
Socioeconomic
Pathway
(SSP)
1.2.6,
increase
6%
2040,
while
SSP
3.7.0
(0.3%)
5.8.5
(2.6%)
predict
decrease.
For
2070,
2.2%
reduction
suitability,
1.2.6
(0.4%)
(1.3%)
slight
increases.
provide
insight
into
impacts
on
species
regional
biodiversity
changes
associated
distribution.
Ecological Solutions and Evidence,
Journal Year:
2024,
Volume and Issue:
5(4)
Published: Oct. 1, 2024
Abstract
Global
environmental
change
will
cause
shifts
in
species
communities,
with
non‐native
likely
replacing
native
ones
at
an
unprecedented
rate.
This
have
consequences
for
biodiversity
and
ecosystem
services,
addition
to
the
ecological
economic
damage
caused
by
those
that
are
invasive.
Understanding
general
patterns
driving
distributions
of
is
therefore
vital,
but
no
study
has
compared
yet
whether
variables
correlate
a
species'
presence
differ
between
two
groups
other
than
local
scale
often
very
limited
sample
size.
In
this
study,
we
focus
on
141
congeneric
plant
pairs
Switzerland.
framework
correlative
distribution
models,
used
newly
developed
methods
efficient
automated
selection
parsimonious
number
predictor
determine
which
ones,
out
large
candidate
set
eight
classes,
strongest
explanatory
power
both
groups.
Our
results
indicated
influence
significantly
different
ways.
Climate
was
far
determinant
distributions,
although
it
had
more
models.
Models
were
influenced
anthropogenic
factors,
land
use
forest
cover.
The
also
associated
habitats
lower
mean
naturality
value
species.
These
findings
provide
novel
empirical
evidence
factors
plants'
guidance
management.
Practical
implications:
models
increasingly
frequently
advised
tool
conservation
management
our
guidelines
covariates
should
be
specifically
considered
assess
habitat
suitability
versus
former
group
particularly
important
research,
as,
time,
they
may
turn
addition,
areas
close
infrastructure
scanned
regularly
incipient
colonizations
species,
especially
as
uninvaded
areas,
such
high
mountains.