Vegetation Classification and Survey,
Год журнала:
2025,
Номер
6, С. 1 - 21
Опубликована: Май 23, 2025
Aims
:
Temperate
hardwood
riparian
forests
constitute
an
endangered
habitat
occurring
mostly
on
the
floodplains
of
major
European
rivers,
and
included
in
T13
Nature
Information
System
(EUNIS).
In
this
study
we
aim
to
1)
confirm
their
presence
small
rivers
northern
Spain,
2)
revise
classification
at
association
level,
discuss
it
alliance
3)
evaluate
diversity
patterns
ecological
preferences.
Study
area
Inner
temperate
submediterranean
valleys
Spain.
Methods
We
sampled
72
nested
series
vegetation
plots
with
grain
sizes
ranging
from
0.0001
m
2
200
,
where
vascular
plants
was
recorded
all
cover
estimated
100
.
were
submitted
EUNIS
Expert
(EUNIS-ESy)
agglomerative
hierarchical
clustering.
Non-metric
dimensional
scaling
used
for
ordination
multivariate
space.
Diagnostic
species
assessed
by
means
modified
phi
index
differences
among
forest
types
regarding
preferences
through
analyses
variance.
Results
The
EUNIS-ESy
classified
five
T13,
19
other
deciduous
types,
48
only
level
1
(forests)
or
remained
unclassified.
Three
main
clusters
emerging
clustering
corresponded
three
associations
Alnion
incanae
Carici
pendulae-Fraxinetum
excelsioris
Galio
laevigati-Fraxinetum
Viburno
lantanae-Ulmetum
minoris
mean
richness
per
plot
75.3,
highest
values
western
Pyrenean
Galio-Fraxinetum
while
Shannon
lowest
Viburno-Ulmetum
Conclusions
These
provide
refuge
several
might
mark
southwestern
distribution
Europe.
It
is
therefore
crucial
clarify
which
a
comprehensive
analysis
riparian,
alluvial
mesic
oak
required.
Taxonomic
reference
Euro+Med
PlantBase
(Euro+Med
2024).
Syntaxonomic
Mucina
et
al.
(2016),
updated
Chytrý
(2024),
high
rank
syntaxa;
Biurrun
(2016)
suballiances.
Abbreviations
CWM
=
Community
Weighted
Means;
DIV
Disturbance
Indicator
Values
plants;
EDGG
Eurasian
Dry
Grassland
Group;
EIVE
Ecological
Europe;
System;
NMDS
Non-Metric
Multidimensional
Scaling;
SAR
Species
Area
Relationship.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Сен. 1, 2022
Global
patterns
of
regional
(gamma)
plant
diversity
are
relatively
well
known,
but
whether
these
hold
for
local
communities,
and
the
dependence
on
spatial
grain,
remain
controversial.
Using
data
170,272
georeferenced
assemblages,
we
created
global
maps
alpha
(local
species
richness)
vascular
plants
at
three
different
grains,
forests
non-forests.
We
show
that
is
consistently
high
across
grains
in
some
regions
(for
example,
Andean-Amazonian
foothills),
'scaling
anomalies'
(deviations
from
positive
correlation)
exist
elsewhere,
particularly
Eurasian
temperate
with
disproportionally
higher
fine-grained
richness
many
African
tropical
coarse-grained
richness.
The
influence
climatic,
topographic
biogeographical
variables
also
varies
grains.
Our
multi-grain
return
a
nuanced
understanding
biodiversity
complements
classic
hotspots
will
improve
predictions
change
effects
biodiversity.
Journal of Vegetation Science,
Год журнала:
2021,
Номер
32(4)
Опубликована: Июнь 22, 2021
Abstract
Aims
Understanding
fine‐grain
diversity
patterns
across
large
spatial
extents
is
fundamental
for
macroecological
research
and
biodiversity
conservation.
Using
the
GrassPlot
database,
we
provide
benchmarks
of
richness
values
Palaearctic
open
habitats
vascular
plants,
bryophytes,
lichens
complete
vegetation
(i.e.,
sum
former
three
groups).
Location
biogeographic
realm.
Methods
We
used
126,524
plots
eight
standard
grain
sizes
from
database:
0.0001,
0.001,
0.01,
0.1,
1,
10,
100
1,000
m
2
calculated
mean
deviations,
as
well
maximum,
minimum,
median,
first
third
quartiles
each
combination
size,
taxonomic
group,
biome,
region,
type
phytosociological
class.
Results
Patterns
plant
in
types
biomes
differ
groups.
Overall,
secondary
(mostly
semi‐natural)
grasslands
natural
are
richest
type.
The
open‐access
file
”GrassPlot
Diversity
Benchmarks”
web
tool
“GrassPlot
Explorer”
now
available
online
(
https://edgg.org/databases/GrasslandDiversityExplorer
)
more
insights
into
species
habitats.
Conclusions
Benchmarks
high‐quality
data
on
habitat
Palaearctic.
These
benchmark
can
be
ecology,
macroecology,
conservation
quality
checking.
While
amount
underlying
database
their
coverage
smaller
than
other
extensive
vegetation‐plot
databases,
recordings
average
complete,
making
it
a
valuable
complementary
source
macroecology.
Frontiers in Plant Science,
Год журнала:
2022,
Номер
13
Опубликована: Апрель 19, 2022
The
reliable
mapping
of
species
richness
is
a
crucial
step
for
the
identification
areas
high
conservation
priority,
alongside
other
value
and
threat
considerations.
This
commonly
done
by
overlapping
range
maps
individual
species,
which
requires
dense
availability
occurrence
data
or
relies
on
assumptions
about
presence
in
unsampled
deemed
suitable
environmental
niche
models.
Here,
we
present
deep
learning
approach
that
directly
estimates
richness,
skipping
estimating
ranges.
We
train
neural
network
model
based
lists
from
inventory
plots,
provide
ground
truth
supervised
machine
learning.
learns
to
predict
spatially
associated
variables,
including
climatic
geographic
predictors,
as
well
counts
available
records
online
databases.
assess
empirical
utility
our
producing
independently
verifiable
alpha,
beta,
gamma
plant
diversity
at
spatial
resolutions
Australia,
continent
with
highly
heterogeneous
patterns.
Our
framework
provides
powerful
flexible
new
biodiversity
patterns,
constituting
forward
toward
automated
assessments.
Journal of Vegetation Science,
Год журнала:
2024,
Номер
35(1)
Опубликована: Янв. 1, 2024
Abstract
Aims
The
Raunkiær's
system
classifies
vascular
plants
into
life
forms
based
on
the
position
of
renewal
buds
during
periods
unfavourable
for
plant
growth.
Despite
importance
ecological
research,
a
study
exploring
diversity
and
distribution
continental
scale
is
missing.
We
aim
to
(i)
map
in
European
vegetation
(ii)
test
effects
bioclimatic
variables
while
controlling
habitat‐specific
responses.
Location
Europe.
Methods
used
data
8883
species
recorded
546,501
plots
different
habitats
(forest,
grassland,
scrub
wetland).
For
each
plot,
we
calculated:
proportion
form
richness
evenness
forms.
mapped
these
plot‐level
metrics
averaged
across
50
km
×
grid
cells
modelled
their
response
variables.
Results
Hemicryptophytes
were
most
widespread
form,
especially
temperate
zone
Central
Conversely,
therophyte
chamaephyte
more
common
Mediterranean
as
well
dry
regions.
Moreover,
chamaephytes
also
boreal
arctic
zones.
Higher
proportions
phanerophytes
found
Mediterranean.
Overall,
higher
was
at
lower
latitudes
showed
spatially
heterogeneous
patterns.
Habitat
type
main
discriminator
responses
analysed,
but
several
moisture‐related
predictors
still
marked
effect
therophytes
chamaephytes.
Conclusions
Our
maps
can
be
tool
future
biogeographic
macro‐ecological
research
scale.
conditions
are
key
regulating
forms,
with
concomitant
consequences
functional
global
environmental
changes.
Environmental Research Letters,
Год журнала:
2022,
Номер
17(4), С. 045003 - 045003
Опубликована: Фев. 24, 2022
Variables
describing
the
abiotic
environment
(e.g.
climate,
topography
or
biogeographic
history)
have
a
long
tradition
of
use
as
predictors
tree
species
richness
patterns.
However,
these
variables
may
capture
variations
in
related
to
but
not
those
that
are
soil
type
forest
disturbance.
Canopy
structure
has
previously
been
shown
provide
information
on
variation
richness,
with
generally
increasing
larger
canopy
heights
and
denser
foliage.
The
is
increasingly
relevant
availability
such
data
from
Global
Ecosystem
Dynamics
Investigation
(GEDI),
lidar
mission
onboard
International
Space
Station.
In
this
analysis
we
show
GEDI
explains
up
66%
natural
forests
without
history
recent
disturbance
across
globe.
portion
overlaps
(up
80%)
explained
by
environmental
biogeographical
variables.
Our
results
relationships
between
one
side
climate
other
straightforward
initially
expected,
should
be
further
investigated
both
disturbed
forests.
Global Change Biology,
Год журнала:
2024,
Номер
30(1)
Опубликована: Янв. 1, 2024
Abstract
Mountain
forests
are
plant
diversity
hotspots,
but
changing
climate
and
increasing
forest
disturbances
will
likely
lead
to
far‐reaching
community
change.
Projecting
future
change,
however,
is
challenging
for
understory
plants,
which
respond
structure
composition
as
well
climate.
Here,
we
jointly
assessed
the
effects
of
both
including
wind
bark
beetle
disturbances,
using
process‐based
simulation
model
iLand
in
a
protected
landscape
northern
Alps
(Berchtesgaden
National
Park,
Germany),
asking:
(1)
How
do
communities
21st‐century
change
topographically
complex
mountain
landscape,
representing
hotspot
species
richness?
(2)
important
climatic
changes
(i.e.,
direct
effects)
versus
indirect
recovery
from
past
land
use)
driving
responses
at
scales?
Stacked
individual
distribution
models
fit
with
climate,
forest,
soil
predictors
(248
currently
present
derived
150
field
plots
stratified
by
elevation
development,
overall
area
under
receiving
operator
characteristic
curve
=
0.86)
were
driven
projected
(RCP4.5
RCP8.5)
modeled
variables
predict
Nearly
all
persisted
2050,
on
average
8%
pool
was
lost
end
century.
By
2100,
mean
richness
cover
declined
(−13%
−8%,
respectively),
warm‐adapted
increasingly
dominated
thermophilization,
+12%),
plot‐level
turnover
high
(62%).
Subalpine
experienced
greatest
declines
(−16%),
most
thermophilization
(+17%),
highest
(67%),
resulting
homogenization
across
zones.
Climate
rather
than
dominant
driver
responses.
The
magnitude
unabated
erode
hotspot,
calling
stronger
conservation
mitigation
efforts.
Earth system science data,
Год журнала:
2021,
Номер
13(3), С. 1089 - 1105
Опубликована: Март 17, 2021
Abstract.
Water
resources
and
associated
ecosystems
are
becoming
highly
endangered
due
to
ongoing
global
environmental
changes.
Spatial
ecological
modelling
is
a
promising
toolbox
for
understanding
the
past,
present
future
distribution
diversity
patterns
in
groundwater-dependent
ecosystems,
such
as
fens,
springs,
streams,
reed
beds
or
wet
grasslands.
Still,
lack
of
detailed
water
chemistry
maps
prevents
use
reasonable
models
be
applied
on
continental
scales.
Being
major
determinants
biological
composition
groundwater
pH
calcium
utmost
importance.
Here
we
developed
an
up-to-date
European
map
Ca,
based
7577
measurements
near-surface
distributed
across
Europe.
In
comparison
existing
maps,
included
several
times
more
sites,
especially
regions
rich
spring
fen
habitats,
filled
apparent
gaps
eastern
southeastern
We
used
random
forest
regression
kriging
create
continuous
at
scale,
which
freely
available
also
raster
(Hájek
et
al.,
2020b;
https://doi.org/10.5281/zenodo.4139912).
Lithology
had
higher
importance
than
climate
both
calcium.
The
previously
recognised
latitudinal
altitudinal
gradients
were
rediscovered
with
much
refined
regional
patterns,
bedrock
variation.
For
many
terrestrial
our
new
field
suitable
soil
pH,
mirror
not
only
but
vegetation-dependent
processes.