Global Change Biology,
Journal Year:
2023,
Volume and Issue:
29(16), P. 4569 - 4585
Published: March 7, 2023
Biodiversity
is
essential
for
maintaining
the
terrestrial
ecosystem
multifunctionality
(EMF).
Recent
studies
have
revealed
that
variations
in
functions
are
captured
by
three
key
axes:
maximum
productivity,
water
use
efficiency,
and
carbon
efficiency
of
ecosystem.
However,
role
biodiversity
supporting
these
axes
has
not
yet
been
explored.
In
this
study,
we
combined
(i)
data
collected
from
more
than
840
vegetation
plots
across
a
large
climatic
gradient
China
using
standard
protocols,
(ii)
on
plant
traits
phylogenetic
information
2,500
species,
(iii)
soil
nutrient
measured
each
plot.
These
were
used
to
systematically
assess
contribution
environmental
factors,
species
richness,
functional
diversity,
community-weighted
mean
(CWM)
(i.e.,
intensity
normalized
per
unit
land
area)
EMF
via
hierarchical
partitioning
Bayesian
structural
equation
modeling.
Multiple
attributes
accounted
70%
influence
all
variables
EMF,
ecosystems
with
high
diversity
had
resource
efficiency.
Our
study
first
explore
different
attributes,
including
CWM
traits,
functions.
findings
underscore
conservation
critical
sustaining
ultimately
ensuring
human
well-being.
Global Change Biology,
Journal Year:
2019,
Volume and Issue:
26(1), P. 119 - 188
Published: Dec. 31, 2019
Abstract
Plant
traits—the
morphological,
anatomical,
physiological,
biochemical
and
phenological
characteristics
of
plants—determine
how
plants
respond
to
environmental
factors,
affect
other
trophic
levels,
influence
ecosystem
properties
their
benefits
detriments
people.
trait
data
thus
represent
the
basis
for
a
vast
area
research
spanning
from
evolutionary
biology,
community
functional
ecology,
biodiversity
conservation,
landscape
management,
restoration,
biogeography
earth
system
modelling.
Since
its
foundation
in
2007,
TRY
database
plant
traits
has
grown
continuously.
It
now
provides
unprecedented
coverage
under
an
open
access
policy
is
main
used
by
worldwide.
Increasingly,
also
supports
new
frontiers
trait‐based
research,
including
identification
gaps
subsequent
mobilization
or
measurement
data.
To
support
this
development,
article
we
evaluate
extent
compiled
analyse
emerging
patterns
representativeness.
Best
species
achieved
categorical
traits—almost
complete
‘plant
growth
form’.
However,
most
relevant
ecology
vegetation
modelling
are
characterized
continuous
intraspecific
variation
trait–environmental
relationships.
These
have
be
measured
on
individual
respective
environment.
Despite
coverage,
observe
humbling
lack
completeness
representativeness
these
many
aspects.
We,
therefore,
conclude
that
reducing
biases
remains
key
challenge
requires
coordinated
approach
measurements.
This
can
only
collaboration
with
initiatives.
New Phytologist,
Journal Year:
2021,
Volume and Issue:
232(1), P. 42 - 59
Published: July 2, 2021
Summary
Plant
trait
variation
drives
plant
function,
community
composition
and
ecosystem
processes.
However,
our
current
understanding
of
disproportionately
relies
on
aboveground
observations.
Here
we
integrate
root
traits
into
the
global
framework
form
function.
We
developed
tested
an
overarching
conceptual
that
integrates
two
recently
identified
gradients
with
a
well‐established
framework.
confronted
novel
published
relationships
between
above‐
belowground
analogues
multivariate
analyses
2510
species.
Our
represent
leaf
conservation
(specific
area,
nitrogen
concentration,
tissue
density),
collaboration
gradient
(root
diameter
specific
length)
size
(plant
height
rooting
depth).
found
integrated,
whole‐plant
space
required
as
much
four
axes.
The
main
axes
represented
fast–slow
‘conservation’
which
fine‐root
were
well
aligned,
‘collaboration’
in
roots.
additional
separate,
orthogonal
for
depth.
This
perspective
multidimensional
nature
better
encompasses
function
influence
surrounding
environment.
Journal of Vegetation Science,
Journal Year:
2019,
Volume and Issue:
30(2), P. 161 - 186
Published: Feb. 5, 2019
Abstract
Aims
Vegetation‐plot
records
provide
information
on
the
presence
and
cover
or
abundance
of
plants
co‐occurring
in
same
community.
data
are
spread
across
research
groups,
environmental
agencies
biodiversity
centers
and,
thus,
rarely
accessible
at
continental
global
scales.
Here
we
present
sPlot
database,
which
collates
vegetation
plots
worldwide
to
allow
for
exploration
patterns
taxonomic,
functional
phylogenetic
diversity
plant
community
level.
Results
version
2.1
contains
from
1,121,244
plots,
comprise
23,586,216
species
their
relative
collected
between
1885
2015.
We
complemented
each
plot
by
retrieving
climate
soil
conditions
biogeographic
context
(e.g.,
biomes)
external
sources,
calculating
community‐weighted
means
variances
traits
using
gap‐filled
trait
database
TRY.
Moreover,
created
a
tree
50,167
out
54,519
identified
plots.
first
maps
richness
key
traits.
Conclusions
The
availability
offers
new
avenues
analysis
scale.
Ecology,
Journal Year:
2019,
Volume and Issue:
100(7)
Published: April 24, 2019
We
propose
four
postulates
as
the
minimum
set
of
logical
propositions
necessary
for
a
theory
pulse
dynamics
and
disturbance
in
ecosystems:
(1)
resource
characterizes
magnitude,
rate,
duration
change
caused
by
events,
including
continuing
changes
resources
that
are
result
abiotic
biotic
processes;
(2)
energy
flux
flow
controls
variation
rates
assimilation
across
ecosystems;
(3)
patch
distribution
patches
over
space
time,
resulting
patterns
diversity,
ecosystem
structure,
cross-scale
feedbacks
pulses
(4)
trait
diversity
evolutionary
responses
to
and,
turn,
way
affects
during
after
events.
apply
an
important
class
biomass-altering
disturbances,
derive
seven
generalizations
predict
trajectory,
rate
change,
probability,
diversification
at
scales,
ecological
functional
resilience.
Ultimately,
must
define
variable
combinations
dynamic
stability,
comprising
resistance,
recovery,
adaptation.
Nature Ecology & Evolution,
Journal Year:
2021,
Volume and Issue:
6(1), P. 36 - 50
Published: Dec. 23, 2021
Abstract
Plant
functional
traits
can
predict
community
assembly
and
ecosystem
functioning
are
thus
widely
used
in
global
models
of
vegetation
dynamics
land–climate
feedbacks.
Still,
we
lack
a
understanding
how
land
climate
affect
plant
traits.
A
previous
analysis
six
observed
two
main
axes
variation:
(1)
size
variation
at
the
organ
level
(2)
leaf
economics
balancing
persistence
against
growth
potential.
The
orthogonality
these
suggests
they
differently
influenced
by
environmental
drivers.
We
find
that
persist
dataset
17
across
more
than
20,000
species.
dominant
joint
effect
soil
on
trait
variation.
Additional
independent
effects
also
most
traits,
whereas
almost
exclusively
for
Variation
correlates
well
with
latitudinal
gradient
related
to
water
or
energy
limitation.
In
contrast,
is
better
explained
interactions
fertility.
These
findings
have
potential
improve
our
biodiversity
patterns
predictions
change
impacts
biogeochemical
cycles.
Global Change Biology,
Journal Year:
2021,
Volume and Issue:
28(9), P. 3110 - 3144
Published: Dec. 30, 2021
Research
in
global
change
ecology
relies
heavily
on
climatic
grids
derived
from
estimates
of
air
temperature
open
areas
at
around
2
m
above
the
ground.
These
do
not
reflect
conditions
below
vegetation
canopies
and
near
ground
surface,
where
critical
ecosystem
functions
occur
most
terrestrial
species
reside.
Here,
we
provide
maps
soil
bioclimatic
variables
a
1-km2
resolution
for
0-5
5-15
cm
depth.
were
created
by
calculating
difference
(i.e.
offset)
between
situ
measurements,
based
time
series
over
1200
pixels
(summarized
8519
unique
sensors)
across
all
world's
major
biomes,
coarse-grained
ERA5-Land
(an
atmospheric
reanalysis
European
Centre
Medium-Range
Weather
Forecasts).
We
show
that
mean
annual
differs
markedly
corresponding
gridded
temperature,
up
to
10°C
(mean
=
3.0
±
2.1°C),
with
substantial
variation
biomes
seasons.
Over
year,
soils
cold
and/or
dry
are
substantially
warmer
(+3.6
2.3°C)
than
whereas
warm
humid
environments
average
slightly
cooler
(-0.7
2.3°C).
The
observed
biome-specific
offsets
emphasize
projected
impacts
climate
near-surface
biodiversity
functioning
inaccurately
assessed
when
rather
is
used,
especially
environments.
soil-related
provided
here
an
important
step
forward
any
application
related
disciplines.
Nevertheless,
highlight
need
fill
remaining
geographic
gaps
collecting
more
measurements
microclimate
further
enhance
spatiotemporal
products
ecological
applications.
Functional Ecology,
Journal Year:
2021,
Volume and Issue:
35(9), P. 1869 - 1885
Published: July 16, 2021
Abstract
The
use
of
functional
diversity
analyses
in
ecology
has
grown
exponentially
over
the
past
two
decades,
broadening
our
understanding
biological
and
its
change
across
space
time.
Virtually
all
ecological
sub‐disciplines
recognise
critical
value
looking
at
species
communities
from
a
perspective,
this
led
to
proliferation
methods
for
estimating
contrasting
dimensions
diversity.
Differences
between
these
their
development
generated
terminological
inconsistencies
confusion
about
selection
most
appropriate
approach
addressing
any
particular
question,
hampering
potential
comparative
studies,
simulation
exercises
meta‐analyses.
Two
general
mathematical
frameworks
are
prevailing:
those
based
on
dissimilarity
matrices
(e.g.
Rao
entropy,
dendrograms)
relying
multidimensional
spaces,
constructed
as
either
convex
hulls
or
probabilistic
hypervolumes.
We
review
frameworks,
discuss
strengths
weaknesses
provide
an
overview
main
R
packages
performing
calculations.
In
parallel,
we
propose
way
organising
metrics
unified
scheme
quantify
richness,
divergence
regularity
individuals
under
each
framework.
This
offers
roadmap
confidently
approaching
both
theoretically
practically.
A
free
Plain
Language
Summary
can
be
found
within
Supporting
Information
article.
Nature,
Journal Year:
2021,
Volume and Issue:
598(7881), P. 468 - 472
Published: Sept. 22, 2021
Abstract
The
leaf
economics
spectrum
1,2
and
the
global
of
plant
forms
functions
3
revealed
fundamental
axes
variation
in
traits,
which
represent
different
ecological
strategies
that
are
shaped
by
evolutionary
development
species
2
.
Ecosystem
depend
on
environmental
conditions
traits
comprise
communities
4
However,
ecosystem
largely
unknown,
limits
our
understanding
how
ecosystems
respond
as
a
whole
to
anthropogenic
drivers,
climate
variability
4,5
Here
we
derive
set
6
from
dataset
surface
gas
exchange
measurements
across
major
terrestrial
biomes.
We
find
most
within
(71.8%)
is
captured
three
key
axes.
first
axis
reflects
maximum
productivity
mostly
explained
vegetation
structure.
second
water-use
jointly
height
climate.
third
axis,
represents
carbon-use
efficiency,
features
gradient
related
aridity,
primarily
show
two
state-of-the-art
land
models
reproduce
important
functions.
tend
simulate
more
strongly
correlated
than
those
observed,
their
ability
accurately
predict
full
range
responses
changes
carbon,
water
energy
cycling
7,8
Global Change Biology,
Journal Year:
2020,
Volume and Issue:
26(11), P. 6616 - 6629
Published: April 20, 2020
Abstract
Current
analyses
and
predictions
of
spatially
explicit
patterns
processes
in
ecology
most
often
rely
on
climate
data
interpolated
from
standardized
weather
stations.
This
represents
long‐term
average
thermal
conditions
at
coarse
spatial
resolutions
only.
Hence,
many
climate‐forcing
factors
that
operate
fine
spatiotemporal
are
overlooked.
is
particularly
important
relation
to
effects
observation
height
(e.g.
vegetation,
snow
soil
characteristics)
habitats
varying
their
exposure
radiation,
moisture
wind
topography,
radiative
forcing
or
cold‐air
pooling).
Since
organisms
living
close
the
ground
relate
more
strongly
these
microclimatic
than
free‐air
temperatures,
near‐surface
needed
provide
realistic
forecasts
fate
such
under
anthropogenic
change,
as
well
functioning
ecosystems
they
live
in.
To
fill
this
critical
gap,
we
highlight
a
call
for
temperature
time
series
submissions
SoilTemp,
geospatial
database
initiative
compiling
all
over
world.
Currently,
contains
7,538
sensors
51
countries
across
key
biomes.
The
will
pave
way
toward
an
improved
global
understanding
microclimate
bridge
gap
between
available
relevant
ecosystem
processes.
Trends in Ecology & Evolution,
Journal Year:
2020,
Volume and Issue:
35(10), P. 908 - 918
Published: June 25, 2020
Functional
traits
are
frequently
used
to
evaluate
plant
adaptation
across
environments.
Yet,
tend
have
multiple
functions
and
interactions,
which
cannot
be
accounted
for
in
traditional
correlation
analyses.
Plant
trait
networks
(PTNs)
clarify
complex
relationships
among
traits,
enable
the
calculation
of
metrics
topology
coordination
importance
given
PTNs,
how
they
shift
communities.
Recent
studies
PTNs
provide
new
insights
into
some
important
topics,
including
dimensionality,
spectra
(including
leaf
economic
spectrum),
stoichiometric
principles,
variation
phenotypic
integration
along
gradients
resource
availability.
improved
resolution
dimensions
scales
responses
shifting
resources,
disturbance
regimes,
global
change.