Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Март 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.
Ecology Letters,
Год журнала:
2022,
Номер
25(3), С. 581 - 597
Опубликована: Фев. 24, 2022
Functional
traits
offer
a
rich
quantitative
framework
for
developing
and
testing
theories
in
evolutionary
biology,
ecology
ecosystem
science.
However,
the
potential
of
functional
to
drive
theoretical
advances
refine
models
global
change
can
only
be
fully
realised
when
species-level
information
is
complete.
Here
we
present
AVONET
dataset
containing
comprehensive
trait
data
all
birds,
including
six
ecological
variables,
11
continuous
morphological
traits,
on
range
size
location.
Raw
measurements
are
presented
from
90,020
individuals
11,009
extant
bird
species
sampled
181
countries.
These
also
summarised
as
averages
three
taxonomic
formats,
allowing
integration
with
phylogeny,
geographical
maps,
IUCN
Red
List
eBird
citizen
science
database.
The
provides
most
detailed
picture
variation
any
major
radiation
organisms,
offering
template
hypotheses
exploring
origins,
structure
functioning
biodiversity.
Journal of Advances in Modeling Earth Systems,
Год журнала:
2020,
Номер
12(4)
Опубликована: Март 11, 2020
Abstract
Land
surface
models
(LSMs)
are
a
vital
tool
for
understanding,
projecting,
and
predicting
the
dynamics
of
land
its
role
within
Earth
system,
under
global
change.
Driven
by
need
to
address
set
key
questions,
LSMs
have
grown
in
complexity
from
simplified
representations
biophysics
encompass
broad
interrelated
processes
spanning
disciplines
biophysics,
biogeochemistry,
hydrology,
ecosystem
ecology,
community
human
management,
societal
impacts.
This
vast
scope
complexity,
while
warranted
problems
designed
solve,
has
led
enormous
challenges
understanding
attributing
differences
between
LSM
predictions.
Meanwhile,
wide
range
spatial
scales
that
govern
heterogeneity,
spectrum
timescales
dynamics,
create
tractably
representing
LSMs.
We
identify
three
“grand
challenges”
development
use
LSMs,
based
around
these
issues:
managing
process
parametric
across
asked
changing
world.
In
this
review,
we
discuss
progress
been
made,
as
well
promising
directions
forward,
each
challenges.
New Phytologist,
Год журнала:
2020,
Номер
232(3), С. 1123 - 1158
Опубликована: Ноя. 7, 2020
Summary
The
effects
of
plants
on
the
biosphere,
atmosphere
and
geosphere
are
key
determinants
terrestrial
ecosystem
functioning.
However,
despite
substantial
progress
made
regarding
plant
belowground
components,
we
still
only
beginning
to
explore
complex
relationships
between
root
traits
functions.
Drawing
literature
in
physiology,
ecophysiology,
ecology,
agronomy
soil
science,
reviewed
24
aspects
functioning
their
with
a
number
system
traits,
including
architecture,
morphology,
anatomy,
chemistry,
biomechanics
biotic
interactions.
Based
this
assessment,
critically
evaluated
current
strengths
gaps
our
knowledge,
identify
future
research
challenges
field
ecology.
Most
importantly,
found
that
broadest
importance
not
those
most
commonly
measured.
Also,
estimation
trait
relative
for
requires
us
consider
more
comprehensive
range
functionally
relevant
from
diverse
species,
across
environments
over
time
series.
We
also
advocate
establishing
causal
hierarchical
links
among
will
provide
hypothesis‐based
framework
parsimonious
sets
strongest
functions,
link
genotypes
Science,
Год журнала:
2021,
Номер
374(6573), С. 1370 - 1376
Опубликована: Дек. 9, 2021
Tropical
forests
disappear
rapidly
because
of
deforestation,
yet
they
have
the
potential
to
regrow
naturally
on
abandoned
lands.
We
analyze
how
12
forest
attributes
recover
during
secondary
succession
and
their
recovery
is
interrelated
using
77
sites
across
tropics.
are
highly
resilient
low-intensity
land
use;
after
20
years,
attain
78%
(33
100%)
old-growth
values.
Recovery
90%
values
fastest
for
soil
(<1
decade)
plant
functioning
(<2.5
decades),
intermediate
structure
species
diversity
(2.5
6
slowest
biomass
composition
(>12
decades).
Network
analysis
shows
three
independent
clusters
attribute
recovery,
related
structure,
diversity,
composition.
Secondary
should
be
embraced
as
a
low-cost,
natural
solution
ecosystem
restoration,
climate
change
mitigation,
biodiversity
conservation.
New Phytologist,
Год журнала:
2021,
Номер
232(1), С. 42 - 59
Опубликована: Июль 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.
Proceedings of the National Academy of Sciences,
Год журнала:
2021,
Номер
118(6)
Опубликована: Фев. 1, 2021
Significance
As
anthropogenic
impacts
to
Earth
systems
accelerate,
biodiversity
knowledge
integration
is
urgently
required
support
responses
underpin
a
sustainable
future.
Consolidating
information
from
disparate
sources
(e.g.,
community
science
programs,
museums)
and
data
types
environmental,
biological)
can
connect
the
biological
sciences
across
taxonomic,
disciplinary,
geographical,
socioeconomic
boundaries.
In
an
analysis
of
research
uses
world’s
largest
cross-taxon
network,
we
report
emerging
roles
open-access
aggregation
in
development
increasingly
diverse,
global
research.
These
results
indicate
new
landscape
centered
on
big
integration,
informing
ongoing
initiatives
strategic
prioritization
diverse
domains,
including
environmental
policy,
evolutionary
biology,
conservation,
human
health.
New Phytologist,
Год журнала:
2021,
Номер
231(2), С. 540 - 558
Опубликована: Апрель 17, 2021
Despite
their
extent
and
socio-ecological
importance,
a
comprehensive
biogeographical
synthesis
of
drylands
is
lacking.
Here
we
synthesize
the
biogeography
key
organisms
(vascular
nonvascular
vegetation
soil
microorganisms),
attributes
(functional
traits,
spatial
patterns,
plant-plant
plant-soil
interactions)
processes
(productivity
land
cover)
across
global
drylands.
These
areas
have
long
evolutionary
history,
are
centers
diversification
for
many
plant
lineages
include
important
diversity
hotspots.
This
captures
strikingly
high
portion
variation
in
leaf
functional
observed
globally.
Part
this
associated
with
large
response
effect
traits
shrubs
encroaching
dryland
grasslands.
Aridity
its
interplay
interacting
species
largely
shape
patterns
interactions,
patterns.
also
drives
composition
biocrust
communities
productivity,
which
shows
geographical
variation.
We
finish
our
review
by
discussing
major
research
gaps,
include:
studying
regular
patterns;
establishing
large-scale
field
surveys
assessing
individual-level
trait
measurements;
knowing
whether
impacts
interactions
on
biodiversity
predictable;
how
elevated
CO2
modulates
future
aridity
conditions
productivity.
