Environmental Research Letters,
Год журнала:
2021,
Номер
16(12), С. 125013 - 125013
Опубликована: Ноя. 24, 2021
Abstract
Accurate
accounting
of
aboveground
biomass
density
(AGBD)
is
crucial
for
carbon
cycle,
biodiversity,
and
climate
change
science.
The
Global
Ecosystem
Dynamics
Investigation
(GEDI),
which
maps
global
AGBD
from
waveform
lidar,
the
first
a
new
generation
Earth
observation
missions
designed
to
improve
accounting.
This
paper
explores
possibility
that
lidar
waveforms
may
not
be
unique
AGBD—that
forest
stands
with
different
produce
highly
similar
waveforms—and
we
hypothesize
non-uniqueness
contribute
large
uncertainties
in
predictions.
Our
analysis
integrates
simulated
GEDI
428
situ
stem
output
an
individual-based
gap
model,
use
generate
database
potential
simulate
those
stands.
We
this
predict
via
two
methods:
linear
regression
metrics,
waveform-matching
approach
accounts
waveform-AGBD
non-uniqueness.
find
some
are
more
than
others,
notably
impacts
prediction
uncertainty
(7–411
Mg
ha
−1
,
average
167
).
also
structure
complexity
influence
effect;
low
structural
mature
multiple
cohorts
canopy
layers.
These
findings
suggest
phenomena
introduced
by
measuring
characteristics
combination
how
manifests
at
small
scales,
discuss
complicate
estimation
prediction.
suggests
limit
accuracy
precision
predictions
seen
empirical
studies,
underscores
need
further
exploration
relationships
between
remote
sensing
measurements,
structure,
AGBD.
Ecology and Evolution,
Год журнала:
2021,
Номер
11(9), С. 3746 - 3770
Опубликована: Март 30, 2021
Abstract
Understanding
the
processes
that
shape
forest
functioning,
structure,
and
diversity
remains
challenging,
although
data
on
systems
are
being
collected
at
a
rapid
pace
across
scales.
Forest
models
have
long
history
in
bridging
with
ecological
knowledge
can
simulate
dynamics
over
spatio‐temporal
scales
unreachable
by
most
empirical
investigations.
We
describe
development
different
modelling
communities
followed
to
underpin
leverage
simulation
offer
for
advancing
our
understanding
of
ecosystems.
Using
three
widely
applied
but
contrasting
approaches
–
species
distribution
models,
individual‐based
dynamic
global
vegetation
as
examples,
we
show
how
scientific
technical
advances
led
transgress
their
initial
objectives
limitations.
provide
an
overview
recent
model
applications
current
important
topics
pinpoint
ten
key
questions
could,
should,
be
tackled
next
decade.
Synthesis.
This
shows
due
complementarity
mutual
enrichment,
represent
invaluable
toolkit
address
wide
range
fundamental
questions,
hence
fostering
deeper
context
change.
Journal of Ecology,
Год журнала:
2022,
Номер
110(10), С. 2288 - 2307
Опубликована: Авг. 26, 2022
To
assess
the
impacts
of
climate
change
on
vegetation
from
stand
to
global
scales,
models
forest
dynamics
that
include
tree
demography
are
needed.
Such
now
available
for
50
years,
but
currently
existing
diversity
model
formulations
and
its
evolution
over
time
poorly
documented.
This
hampers
systematic
assessments
structural
uncertainties
in
model-based
studies.We
conducted
a
meta-analysis
28
models,
focusing
were
used
past
five
years
studies.
We
defined
52
attributes
groups
(basic
assumptions,
growth,
regeneration,
mortality
soil
moisture)
characterized
each
according
these
attributes.
Analyses
complexity
included
hierarchical
cluster
analysis
redundancy
analysis.Model
evolved
considerably
years.
Increases
largest
growth
processes,
while
modelled
establishment
processes
increased
only
moderately.
Model
was
lowest
at
scale,
highest
landscape
scale.
identified
distinct
clusters
ranging
very
simple
where
specific
attribute
rendered
complex
manner
feature
high
across
all
attributes.Most
use
today
not
balanced
level
with
which
they
represent
different
processes.
is
result
purposes,
also
reflects
legacies
code,
modelers'
preferences,
'prevailing
spirit
epoch'.
The
lack
firm
theories,
laws
'first
principles'
ecology
provides
degrees
freedom
development,
results
responsibilities
developers
need
rigorous
evaluation.
Global Change Biology,
Год журнала:
2022,
Номер
28(17), С. 5062 - 5085
Опубликована: Июнь 1, 2022
Abstract
Although
it
is
an
integral
part
of
global
change,
most
the
research
addressing
effects
climate
change
on
forests
have
overlooked
role
environmental
pollution.
Similarly,
studies
investigating
air
pollutants
generally
neglected
impacts
change.
We
review
current
knowledge
combined
pollution
and
forest
ecosystems
identify
several
key
priorities
as
a
roadmap
for
future.
Specifically,
we
recommend
(1)
establishment
much
denser
array
monitoring
sites,
particularly
in
South
Hemisphere;
(2)
further
integration
ground
satellite
monitoring;
(3)
generation
flux‐based
standards
critical
levels
taking
into
account
sensitivity
dominant
tree
species;
(4)
long‐term
N,
S,
P
cycles
base
cations
deposition
together
at
scale;
(5)
intensification
experimental
studies,
different
abiotic
factors
by
assuring
better
representation
taxonomic
functional
diversity
across
~73,000
species
Earth;
(6)
more
focus
phenomics
genomics;
(7)
improved
processes
regulating
dynamics
radionuclides
systems;
(8)
development
models
integrating
data
from
programs.
Forests,
Год журнала:
2022,
Номер
13(4), С. 498 - 498
Опубликована: Март 23, 2022
The
increasing
importance
of
forest
ecosystems
for
human
society
and
planetary
health
is
widely
recognized,
the
advancement
data
collection
technologies
enables
new
integrated
ways
monitoring.
Therefore,
target
this
paper
to
propose
a
framework
design
digital
twin
(FDT)
that,
by
integrating
different
state
variables
at
both
tree
levels,
creates
virtual
copy
forest.
integration
these
sets
could
be
used
scientific
purposes,
reporting
status
forests,
ultimately
implementing
sustainable
management
practices
on
basis
use
cases
that
specific
implementation
would
underpin.
Achieving
such
outcomes
requires
twinning
single
trees
as
core
element
FDT
recording
physical
biotic
near
environment
via
real–virtual
sockets.
Following
nested
approach,
twinned
related
physiological
processes
are
then
part
broader
entire
realized
capturing
scale
from
sources
remote
sensing
flux
towers.
Ultimately,
unlock
economic
value
ecosystem
services,
should
implement
distributed
ledger-based
blockchain
smart
contracts
ensure
highest
transparency,
reliability,
thoroughness
transactions
sharpen
risk
with
final
goal
improve
capital
flow
towards
management.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Год журнала:
2024,
Номер
99(3), С. 928 - 949
Опубликована: Янв. 16, 2024
ABSTRACT
The
core
principle
shared
by
most
theories
and
models
of
succession
is
that,
following
a
major
disturbance,
plant–environment
feedback
dynamics
drive
directional
change
in
the
plant
community.
commonly
studied
loops
are
those
which
regrowth
community
causes
changes
to
abiotic
(e.g.
soil
nutrients)
or
biotic
dispersers)
environment,
differentially
affect
species
availability
performance.
This,
turn,
leads
shifts
composition
However,
there
many
other
PE
that
potentially
succession,
each
can
be
considered
model
succession.
While
generate
predictable
successional
trajectories,
generally
observed
highly
variable.
Factors
contributing
this
variability
stochastic
processes
involved
dynamics,
such
as
individual
mortality
seed
dispersal,
extrinsic
not
affected
but
do
performance
availability.
Both
lead
variation
identity
dominant
within
communities.
further
contingencies
if
these
differ
their
effect
on
environment
(priority
effects).
Predictability
thus
intrinsically
linked
features
ecological
We
present
new
conceptual
framework
integrates
propositions
discussed
above.
This
defines
seven
general
causes:
landscape
context,
disturbance
land‐use,
factors,
availability,
performance,
When
loop,
when
not,
they
create
trajectories
dynamics.
proposed
provides
guide
for
linking
into
causal
pathways
represent
specific
Our
represents
systematic
approach
identifying
main
at
different
stages.
It
used
comparisons
among
study
sites
along
environmental
gradients,
conceptualise
studies,
formulation
research
questions
design
field
studies.
Mapping
an
extensive
onto
our
revealed
representing
study's
empirical
outcomes
had
important
differences,
underlining
need
move
beyond
currently
dominate
fields
find
ways
examine
importance
interactions
alternative
To
aim,
we
argue
integrating
long‐term
studies
across
anthropogenic
combined
with
controlled
experiments
dynamic
modelling.
European Journal of Remote Sensing,
Год журнала:
2024,
Номер
57(1)
Опубликована: Янв. 9, 2024
Process-based
Forest
Models
(PBFMs)
offer
the
possibility
to
capture
important
spatial
and
temporal
patterns
of
carbon
fluxes
stocks
in
forests.
Yet,
their
predictive
capacity
should
be
demonstrated
not
only
at
stand-level
but
also
context
broad
heterogeneity.
We
apply
a
stand
scale
PBFM
(3D-CMCC-FEM)
spatially
explicit
manner
1
km
resolution
southern
Italy.
developed
methodology
initialize
model
that
includes
information
derived
from
integration
Remote
Sensing
(RS)
National
Inventory
(NFI)
data
regional
forest
maps
characterize
structural
features
main
species.
Gross
primary
production
(GPP)
is
simulated
over
2005–2019
period
capability
simulating
GPP
evaluated
both
aggregated
as
species-level
through
multiple
independent
sources
based
on
different
nature
RS-based
products.
show
able
reproduce
most
(~2800
km2)
(32
years
total)
observed
seasonal,
annual
interannual
time
scales,
even
species-level.
These
promising
results
open
confindently
applying
3D-CMCC-FEM
investigate
forests'
behaviour
under
climate
environmental
variability
large
areas
across
highly
variable
ecological
bio-geographical
heterogeneity
Mediterranean
region.
Journal of Ecology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 5, 2025
Abstract
Forests
provide
many
ecosystem
services
that
strongly
depend
on
species
diversity,
as
illustrated
by
the
repeatedly
observed
diversity–productivity
relationships
(DPRs).
These
forest
DPRs
are
assumed
to
result
mostly
from
complementarity
between
at
tree
level
whilst
emerging
community‐level
processes
remain
poorly
explored.
In
this
study,
we
propose
‘tree
packing
effect’
(TPE),
where
diversity
promotes
productivity
positively
impacting
maximum
stand
density,
is
an
important
determinant
of
DPRs.
We
tested
two
components
TPE:
(i)
whether
density
increases
with
richness
and
(ii)
higher
allowed
productivity.
First,
relying
national
inventories
six
European
countries
(NFIs,
totaling
2,367,776
trees),
fitted
self‐thinning
lines
examine
these
were
influenced
plot
richness.
showed
in
Europe,
all
but
one
country.
This
trend
was
notably
stronger
extreme
climates.
Second,
ran
a
large
simulation‐based
experiment
(including
7,024,815
simulations)
individual‐based
dynamics
model
able
control
for
stand‐density
effects,
quantify
more
than
1000
sites
Europe.
Relying
original
method
site
level,
compared
strength
simulated
without
density.
found
positive
up
10‐times
when
TPE
play
controlled.
effect
through
also
climates,
especially
warm
dry
conditions.
Synthesis
.
Highlighting
generality
forests,
our
results
reveal
functioning
partly
mediated
diversity‐driven
changes
mechanism
has
been
long
overlooked
biodiversity—ecosystem
studies,
findings
call
its
reconsideration,
natural
forests.
It
opens
key
perspectives
management
climate
change
mitigation
programmes.
Global Change Biology,
Год журнала:
2022,
Номер
28(23), С. 6921 - 6943
Опубликована: Авг. 12, 2022
Forest
models
are
instrumental
for
understanding
and
projecting
the
impact
of
climate
change
on
forests.
A
considerable
number
forest
have
been
developed
in
last
decades.
However,
few
systematic
comprehensive
model
comparisons
performed
Europe
that
combine
an
evaluation
modelled
carbon
water
fluxes
structure.
We
evaluate
13
widely
used,
state-of-the-art,
stand-scale
against
field
measurements
structure
eddy-covariance
data
over
multiple
decades
across
environmental
gradient
at
nine
typical
European
stands.
test
models'
performance
three
dimensions:
accuracy
local
predictions
(agreement
observed
annual
data),
realism
responses
daily
gross
primary
productivity
to
temperature,
radiation
vapour
pressure
deficit)
general
applicability
(proportion
tree
species
covered).
find
available
excel
according
our
dimensions
performance.
For
predictions,
variables
related
lower
random
errors
than
flux
variables.
Moreover,
multi-model
ensemble
mean
provided
overall
more
realistic
drivers
all
sites
any
single
individual
model.
The
is
high,
as
almost
currently
able
cover
Europe's
common
species.
show
complement
each
other
their
response
there
several
cases
which
outperform
ensemble.
Our
framework
provides
a
first
step
capturing
essential
differences
between
go
beyond
most
commonly
used
predictions.
Overall,
this
study
point
reference
future
work
aimed
predicting
impacts
supporting
mitigation
adaptation
measures