Plants,
Год журнала:
2022,
Номер
11(12), С. 1616 - 1616
Опубликована: Июнь 20, 2022
Climate
change
is
affecting
species
distribution
and
ecosystem
form
function.
Forests
provide
a
range
of
services,
understanding
their
vulnerability
to
climate
important
for
designing
effective
adaptation
strategies.
Species
Distribution
Modelling
(SDM)
has
been
extensively
used
derive
habitat
suitability
maps
under
current
conditions
project
shifts
change.
In
this
study,
we
model
the
future
dominant
tree
in
Greece
(Abies
cephalonica,
Abies
borisii-regis,
Pinus
brutia,
halepensis,
nigra,
Quercus
ilex,
pubescens,
frainetto
Fagus
sylvatica),
based
on
species-specific
presence
data
from
EU-Forest
database,
enhanced
with
that
currently
under-represented
terms
occurrence
points.
By
including
these
additional
data,
areas
relatively
drier
some
study
were
included
SDM
development,
yielding
potentially
lower
conditions.
SDMs
developed
each
taxon
using
soil
at
resolution
~1
km2.
Model
performance
was
assessed
found
adequately
simulate
potential
distributions.
Subsequently,
models
SSP1-2.6
SSP5-8.5
scenarios
2041-2070
2071-2100
time
periods.
Under
scenarios,
reduction
habitat-suitable
predicted
most
species,
higher
elevation
taxa
experiencing
more
pronounced
shrinkages.
An
exception
endemic
A.
cephalonica
its
sister
which,
although
mid
high
elevations,
seem
able
maintain
scenarios.
Our
findings
suggest
could
significantly
affect
dynamics
forest
ecosystems
Greece,
ecological,
economic
social
implications,
thus
adequate
mitigation
measures
should
be
implemented.
Evolution Letters,
Год журнала:
2020,
Номер
4(1), С. 4 - 18
Опубликована: Янв. 14, 2020
Abstract
Global
climate
change
(GCC)
increasingly
threatens
biodiversity
through
the
loss
of
species,
and
transformation
entire
ecosystems.
Many
species
are
challenged
by
pace
GCC
because
they
might
not
be
able
to
respond
fast
enough
changing
biotic
abiotic
conditions.
Species
can
either
shifting
their
range,
or
persisting
in
local
habitat.
If
populations
persist,
tolerate
climatic
changes
phenotypic
plasticity,
genetically
adapt
conditions
depending
on
genetic
variability
census
population
size
allow
for
de
novo
mutations.
Otherwise,
will
experience
demographic
collapses
may
go
extinct.
Current
approaches
predicting
responses
begin
combine
ecological
evolutionary
information
distribution
modelling.
Including
an
dimension
substantially
improve
projections
which
have
accounted
key
processes
such
as
dispersal,
adaptive
change,
demography,
interactions.
However,
eco-evolutionary
models
require
new
data
methods
estimation
a
species'
potential,
so
far
only
been
available
small
number
model
species.
To
represent
global
biodiversity,
we
need
devise
large-scale
collection
strategies
define
ecology
potential
broad
range
especially
keystone
We
also
standardized
replicable
modelling
that
integrate
these
account
when
impact
survival.
Here,
discuss
different
genomic
used
investigate
predict
GCC.
This
serve
guidance
researchers
looking
appropriate
experimental
setup
particular
system.
furthermore
highlight
future
directions
moving
forward
field
allocating
resources
more
effectively,
implement
mitigation
measures
before
extinct
ecosystems
lose
important
functions.
Annual Review of Ecology Evolution and Systematics,
Год журнала:
2020,
Номер
51(1), С. 245 - 269
Опубликована: Авг. 10, 2020
Signals
of
local
adaptation
have
been
found
in
many
plants
and
animals,
highlighting
the
heterogeneity
distribution
adaptive
genetic
variation
throughout
species
ranges.
In
coming
decades,
global
climate
change
is
expected
to
induce
shifts
selective
pressures
that
shape
this
variation.
These
changes
will
likely
result
varying
degrees
maladaptation
spatial
reshuffling
underlying
distributions
alleles.
There
a
growing
interest
using
population
genomic
data
help
predict
future
disruptions
locally
gene-environment
associations.
One
motivation
behind
such
work
better
understand
how
effects
changing
on
populations’
short-term
fitness
could
vary
spatially
across
Here
we
review
current
use
disruption
climates.
After
assessing
goals
motivationsunderlying
approach,
main
steps
associated
statistical
methods
currently
explore
our
understanding
limits
potential
genomics
(mal)adaptation.
Diversity and Distributions,
Год журнала:
2021,
Номер
27(6), С. 1035 - 1050
Опубликована: Фев. 19, 2021
Abstract
Aim
Forecasting
changes
in
species
distribution
under
future
scenarios
is
one
of
the
most
prolific
areas
application
for
models
(SDMs).
However,
no
consensus
yet
exists
on
reliability
such
drawing
conclusions
species’
response
to
changing
climate.
In
this
study,
we
provide
an
overview
common
modelling
practices
field
and
assess
model
predictions
using
a
virtual
approach.
Location
Global.
Methods
We
first
review
papers
published
between
2015
2019.
Then,
use
approach
three
commonly
applied
SDM
algorithms
(GLM,
MaxEnt
random
forest)
estimated
actual
predictive
performance
parameterized
with
different
settings
violations
assumptions.
Results
Most
relied
single
(65%)
small
samples
(
N
<
50,
62%),
used
presence‐only
data
(85%),
binarized
models'
output
(74%)
split‐sample
validation
(94%).
Our
simulation
reveals
that
tends
be
over‐optimistic
compared
real
performance,
whereas
spatial
block
provides
more
honest
estimate,
except
when
datasets
are
environmentally
biased.
The
binarization
predicted
probabilities
presence
reduces
models’
ability
considerably.
Sample
size
main
predictors
accuracy,
but
has
little
influence
accuracy.
Finally,
inclusion
ecologically
irrelevant
violation
assumptions
increases
accuracy
decreases
projections,
leading
biased
estimates
range
contraction
expansion.
Main
predict
low
average,
particularly
binarized.
A
robust
by
spatially
independent
required,
does
not
rule
out
inflation
assumption
violation.
findings
call
caution
interpretation
projections
climates.
Nature Ecology & Evolution,
Год журнала:
2020,
Номер
4(3), С. 294 - 303
Опубликована: Фев. 17, 2020
Synthesizing
trait
observations
and
knowledge
across
the
Tree
of
Life
remains
a
grand
challenge
for
biodiversity
science.
Species
traits
are
widely
used
in
ecological
evolutionary
science,
new
data
methods
have
proliferated
rapidly.
Yet
accessing
integrating
disparate
sources
considerable
challenge,
slowing
progress
toward
global
synthesis
to
integrate
organisms.
Trait
science
needs
vision
achieving
integration
all
Here,
we
outline
how
adoption
key
Open
Science
principles—open
data,
open
source
methods—is
transforming
increasing
transparency,
democratizing
access
accelerating
synthesis.
To
enhance
widespread
these
principles,
introduce
Traits
Network
(OTN),
global,
decentralized
community
welcoming
researchers
institutions
pursuing
collaborative
goal
standardizing
We
demonstrate
adherence
principles
is
OTN
five
activities
that
can
accelerate
Life,
thereby
facilitating
rapid
advances
address
scientific
inquiries
environmental
issues.
Lessons
learned
along
path
will
provide
framework
addressing
similarly
complex
informatics
challenges.
A
introduced
aims
standardize
species
organismal
groups,
based
on
Science.
Photochemical & Photobiological Sciences,
Год журнала:
2021,
Номер
20(1), С. 1 - 67
Опубликована: Янв. 1, 2021
Abstract
This
assessment
by
the
Environmental
Effects
Assessment
Panel
(EEAP)
of
United
Nations
Environment
Programme
(UNEP)
provides
latest
scientific
update
since
our
most
recent
comprehensive
(Photochemical
and
Photobiological
Sciences,
2019,
18,
595–828).
The
interactive
effects
between
stratospheric
ozone
layer,
solar
ultraviolet
(UV)
radiation,
climate
change
are
presented
within
framework
Montreal
Protocol
Sustainable
Development
Goals.
We
address
how
these
global
environmental
changes
affect
atmosphere
air
quality;
human
health;
terrestrial
aquatic
ecosystems;
biogeochemical
cycles;
materials
used
in
outdoor
construction,
energy
technologies,
fabrics.
In
many
cases,
there
is
a
growing
influence
from
seasonality
extreme
events
due
to
change.
Additionally,
we
assess
transmission
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2),
which
responsible
for
COVID-19
pandemic,
context
linkages
with
UV
radiation
Protocol.
Annals of Botany,
Год журнала:
2022,
Номер
130(2), С. 131 - 148
Опубликована: Июнь 30, 2022
Abstract
Background
Plastic
responses
of
plants
to
the
environment
are
ubiquitous.
Phenotypic
plasticity
occurs
in
many
forms
and
at
biological
scales,
its
adaptive
value
depends
on
specific
interactions
with
other
plant
traits
organisms.
Even
though
is
norm
rather
than
exception,
complex
nature
has
been
a
challenge
characterizing
expression
plasticity,
for
fitness
environmental
cues
that
regulate
expression.
Scope
This
review
discusses
characterization
costs
approaches,
considerations,
promising
research
directions
studying
plasticity.
genetically
controlled
heritable;
however,
little
known
about
how
organisms
perceive,
interpret
respond
cues,
genes
pathways
associated
Not
every
genotype
plastic
trait,
not
infinite,
suggesting
trade-offs,
limits
The
timing,
specificity
duration
critical
their
fitness.
Conclusions
There
opportunities
advance
our
understanding
phenotypic
New
methodology
technological
breakthroughs
enable
study
across
scales
multiple
environments.
Understanding
mechanisms
phenotypes
influences
ranges
would
benefit
areas
science
ranging
from
basic
applied
breeding
crop
improvement.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Год журнала:
2023,
Номер
98(6), С. 2243 - 2270
Опубликована: Авг. 9, 2023
ABSTRACT
In
an
epoch
of
rapid
environmental
change,
understanding
and
predicting
how
biodiversity
will
respond
to
a
changing
climate
is
urgent
challenge.
Since
we
seldom
have
sufficient
long‐term
biological
data
use
the
past
anticipate
future,
spatial
climate–biotic
relationships
are
often
used
as
proxy
for
biotic
responses
change
over
time.
These
‘space‐for‐time
substitutions’
(SFTS)
become
near
ubiquitous
in
global
biology,
but
with
different
subfields
largely
developing
methods
isolation.
We
review
climate‐focussed
SFTS
four
ecology
evolution,
each
focussed
on
type
variable
–
population
phenotypes,
genotypes,
species'
distributions,
ecological
communities.
then
examine
similarities
differences
between
terms
methods,
limitations
opportunities.
While
wide
range
applications,
two
main
approaches
applied
across
subfields:
situ
gradient
transplant
experiments.
find
that
share
common
relating
(
i
)
causality
identified
ii
transferability
these
relationships,
i.e.
whether
observed
space
equivalent
those
occurring
Moreover,
despite
widespread
application
research,
key
assumptions
remain
untested.
highlight
opportunities
enhance
robustness
by
addressing
limitations,
particular
emphasis
where
could
be
shared
subfields.