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.
Journal of Biogeography,
Journal Year:
2019,
Volume and Issue:
47(1), P. 16 - 43
Published: June 9, 2019
Abstract
Aim
To
understand
how
functional
traits
and
evolutionary
history
shape
the
geographic
distribution
of
plant
life
on
Earth,
we
need
to
integrate
high‐quality
global‐scale
data
with
phylogenetic
information.
Large‐scale
for
plants
are,
however,
often
restricted
either
certain
taxonomic
groups
or
regions.
Range
maps
only
exist
a
small
subset
all
species
digitally
available
point‐occurrence
information
is
biased
both
geographically
taxonomically.
Floras
checklists
represent
an
alternative,
yet
rarely
used
potential
source
They
contain
highly
curated
about
composition
clearly
defined
area,
together
virtually
cover
entire
global
land
surface.
Here,
report
our
recent
efforts
mobilize
this
macroecological
biogeographical
analyses
in
GIFT
database,
Global
Inventory
Traits.
Location
Global.
Taxon
Land
(Embryophyta).
Methods
integrates
distributions
from
regional
traits,
information,
region‐level
geographic,
environmental
socio‐economic
data.
It
contains
floristic
status
(native,
endemic,
alien
naturalized)
takes
advantage
wealth
trait
Floras,
complemented
by
databases.
Results
1.0
holds
lists
2,893
regions
across
whole
globe
including
~315,000
taxonomically
standardized
names
(i.e.
c.
80%
known
species)
~3
million
species‐by‐region
occurrences.
Based
hierarchical
taxonomical
derivation
scheme,
83
more
than
2.3
trait‐by‐species
combinations
achieves
unprecedented
coverage
categorical
such
as
woodiness
(~233,000
spp.)
growth
form
(~213,000
spp.).
Main
conclusions
present
structure,
content
automated
workflows
corresponding
web‐interface
(
http://gift.uni-goettingen.de
)
proof
concept
feasibility
mobilizing
aggregated
biodiversity
research.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: March 1, 2022
Abstract
Forests
constitute
important
ecosystems
in
the
global
carbon
cycle.
However,
how
trees
and
environmental
conditions
interact
to
determine
amount
of
organic
stored
forest
soils
is
a
hotly
debated
subject.
In
particular,
tree
species
influence
soil
(SOC)
remains
unclear.
Based
on
compilation
data,
we
show
that
functional
traits
standing
biomass
explain
half
local
variability
SOC.
The
effects
SOC
depended
climatic
with
strongest
effect
observed
under
boreal
climate
acidic,
poor,
coarse-textured
soils.
Mixing
forests
also
favours
storage
SOC,
provided
over-yielding
occurs
mixed
forests.
We
propose
sink
can
be
optimised
by
(i)
increasing
biomass,
(ii)
richness,
(iii)
choosing
composition
based
according
conditions.
New Phytologist,
Journal Year:
2020,
Volume and Issue:
228(2), P. 494 - 511
Published: May 28, 2020
Summary
Foliar
functional
traits
are
widely
used
to
characterize
leaf
and
canopy
properties
that
drive
ecosystem
processes
infer
physiological
in
Earth
system
models.
Imaging
spectroscopy
provides
great
potential
map
foliar
continuous
variation
diversity,
but
few
studies
have
demonstrated
consistent
methods
for
mapping
multiple
across
biomes.
With
airborne
imaging
data
field
from
19
sites,
we
developed
trait
models
using
partial
least
squares
regression,
mapped
26
seven
NEON
(National
Ecological
Observatory
Network)
ecoregions
(domains)
including
temperate
subtropical
forests
grasslands
of
eastern
North
America.
Model
validation
accuracy
varied
among
(normalized
root
mean
squared
error,
9.1–19.4%;
coefficient
determination,
0.28–0.82),
with
phenolic
concentration,
mass
per
area
equivalent
water
thickness
performing
best
domains.
Across
all
maps,
90%
vegetated
pixels
had
reasonable
values
one
trait,
28–81%
provided
high
confidence
concurrently.
Maps
their
uncertainties
US
sites
available
download,
being
expanded
the
western
United
States
tundra/boreal
zone.
These
enable
better
understanding
variations
relationships
over
large
areas,
calibration
models,
assessment
continental‐scale
diversity.
Global Ecology and Biogeography,
Journal Year:
2020,
Volume and Issue:
30(1), P. 25 - 37
Published: Sept. 9, 2020
Abstract
Motivation
Trait
data
are
fundamental
to
the
quantitative
description
of
plant
form
and
function.
Although
root
traits
capture
key
dimensions
related
responses
changing
environmental
conditions
effects
on
ecosystem
processes,
they
have
rarely
been
included
in
large‐scale
comparative
studies
global
models.
For
instance,
remain
absent
from
nearly
all
that
define
spectrum
Thus,
overcome
conceptual
methodological
roadblocks
preventing
a
widespread
integration
trait
into
analyses
we
created
Global
Root
(GRooT)
Database.
GRooT
provides
ready‐to‐use
by
combining
expertise
ecologists
with
mobilization
curation.
Specifically,
(a)
determined
set
core
relevant
function
based
an
assessment
experts,
(b)
maximized
species
coverage
through
standardization
within
among
traits,
(c)
implemented
quality
checks.
Main
types
variables
contained
contains
114,222
records
38
continuous
traits.
Spatial
location
grain
arid,
continental,
polar,
temperate
tropical
biomes.
Data
were
derived
experimental
field
studies.
Time
period
recorded
between
1911
2019.
Major
taxa
level
measurement
includes
for
which
taxonomic
information
is
available.
vary
their
resolution,
subspecies
or
varieties
being
highest
genera
lowest
resolution
It
184
varieties,
6,214
species,
1,967
254
families.
Owing
variation
sources,
database
include
both
individual
observations
mean
values.
Software
format
two
csv
files.
A
GitHub
repository
files
script
R
query
database.
Journal of Ecology,
Journal Year:
2019,
Volume and Issue:
107(5), P. 2133 - 2148
Published: Aug. 19, 2019
Abstract
Plant
traits
can
provide
unique
insights
into
plant
performance
at
the
community
scale.
Functional
composition,
defined
by
both
functional
diversity
and
community‐weighted
trait
means
(CWMs),
affect
stability
of
above‐ground
net
primary
production
(ANPP)
in
response
to
climate
extremes.
Further
complexity
arises,
however,
when
composition
itself
responds
environmental
change.
The
duration
extremes,
such
as
drought,
is
expected
increase
with
rising
global
temperatures;
thus,
understanding
impacts
long‐term
drought
on
corresponding
effect
that
has
ecosystem
function
could
improve
predictions
sensitivity
We
experimentally
reduced
growing
season
precipitation
66%
across
six
temperate
grasslands
for
4
years
measured
changes
three
indices
(functional
dispersion,
richness
evenness),
phylogenetic
(PD).
Specific
leaf
area
(SLA),
nitrogen
content
(LNC)
(at
most
sites)
turgor
loss
point
(
π
TLP
)
were
species
cumulatively
representing
~90%
cover
each
site.
Long‐term
led
increased
dispersion
sites,
negligible
effects
remaining
sites.
Species
re‐ordering
following
mortality/senescence
dominant
was
main
driver
dispersion.
not
consistently
matched
diversity.
Community‐level
strategies
(assessed
CWMs)
largely
shifted
from
tolerance
avoidance
and/or
escape
strategies,
evidenced
higher
,
SLA
LNC.
Lastly,
(i.e.
relative
reduction
ANPP
plots)
positively
correlated
negatively
Synthesis.
Increased
may
stabilize
functioning
future
drought.
However,
shifts
community‐scale
sensitivity,
depending
nature
timing
Thus,
our
results
highlight
importance
considering
abundance‐weighted
communities
their
collective
either
or
enhance
Ecology Letters,
Journal Year:
2021,
Volume and Issue:
24(9), P. 1988 - 2009
Published: May 20, 2021
Abstract
Trait‐based
ecology
aims
to
understand
the
processes
that
generate
overarching
diversity
of
organismal
traits
and
their
influence
on
ecosystem
functioning.
Achieving
this
goal
requires
simplifying
complexity
in
synthetic
axes
defining
a
trait
space
cluster
species
based
while
identifying
those
with
unique
combinations
traits.
However,
so
far,
we
know
little
about
dimensionality,
robustness
omission
structure
these
spaces.
Here,
propose
unified
framework
synthesis
across
30
datasets
representing
broad
variety
taxa,
ecosystems
spatial
scales
show
common
trade‐off
between
quality
operationality
appears
three
six
dimensions.
The
is
generally
low
but
highly
variable
among
datasets.
We
also
highlight
invariant
scaling
relationships,
whatever
complexity,
number
clusters,
dominant
total
richness.
When
richness
increases,
saturates,
whereas
tend
disproportionately
pack
richest
cluster.
Based
results,
some
rules
thumb
build
spaces
estimate
subsequent
functional
indices.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Sept. 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.