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.
Current Forestry Reports,
Год журнала:
2022,
Номер
8(2), С. 229 - 256
Опубликована: Апрель 7, 2022
Abstract
Purpose
of
Review
Forests
provide
multiple
ecosystem
services
(ES)
to
society,
and
the
demand
for
ES
is
growing
at
global
level.
However,
how
manage
forests
provision
sometimes
conflicting
a
complex
still
unresolved
issue.
In
this
study,
we
reviewed
scientific
literature
period
2010–2020
dealing
with
forest
management
in
Mediterranean
forests,
aim
(1)
outlining
progress
research,
(2)
identifying
knowledge
gaps
research
needs,
(3)
discussing
approaches
considering
ES.
The
selected
was
analyzed
different
aspects
(e.g.,
drivers
changes,
modeling
approaches,
trade-offs,
synergies).
Recent
Findings
Our
results
show
that
wood
production
one
main
objectives,
an
increasing
attention
toward
non
products.
Carbon
sequestration
biodiversity
were
most
investigated
regulating
functions,
but
also
specific
are
gaining
lichens
microclimate
regulation).
Changes
stand
structure
density,
impact
coppice
vs.
high
forest,
effect
practices
abandonment
considered
as
change
stand/management
unit
scale,
while
climate
changes
disturbances
landscape/regional
scale
using
modeling.
Summary
Despite
made
last
decade,
our
review
highlights
further
needed
fill
regarding
influences
region.
From
conceptual
point
view,
there
need
shift
new
paradigm
based
on
adaptable,
flexible
management,
planning
approach
sustain
self-organization,
adaptive
capacity,
overall
resilience
overcoming
“service”
approach;
operatively,
should
move
transdisciplinary
approach,
which
considers
problems
from
diversity
points
view
involves
extended
peer
communities
not
only
dissemination
results,
process
itself.
Geoscientific model development,
Год журнала:
2023,
Номер
16(11), С. 3165 - 3201
Опубликована: Июнь 6, 2023
Abstract.
Regional-level
applications
of
dynamic
vegetation
models
are
challenging
because
they
need
to
accommodate
the
variation
in
plant
functional
diversity,
which
requires
moving
away
from
broadly
defined
types.
Different
approaches
have
been
adopted
last
years
incorporate
a
trait-based
perspective
into
modeling
exercises.
A
common
parametrization
strategy
involves
using
trait
data
represent
between
individuals
while
discarding
taxonomic
identity.
However,
this
ignores
phylogenetic
signal
and
cannot
be
employed
when
predictions
for
specific
taxa
needed,
such
as
inform
forest
management
planning.
An
alternative
adapting
resolution
model
entities
that
source
large-scale
initialization
estimating
parameters
available
databases,
adopting
diverse
solutions
missing
non-observable
parameters.
Here
we
report
advantages
limitations
second
according
our
experience
development
MEDFATE
(version
2.9.3),
novel
cohort-based
trait-enabled
dynamics,
its
application
over
region
western
Mediterranean
Basin.
First,
217
were
woody
species
codes
Spanish
National
Forest
Inventory.
While
inventory
records
used
obtain
some
empirical
parameter
estimates,
large
proportion
physiological,
morphological,
anatomical
matched
measured
traits,
with
estimates
extracted
multiple
databases
averaged
at
required
level.
Estimates
key
obtained
meta-modeling
calibration
Missing
values
addressed
imputation
procedures
based
on
covariation,
averages
or
both.
The
properly
simulated
observed
historical
changes
basal
area,
performance
similar
an
trained
same
region.
strong
efforts
still
parameterize
taxa,
intra-specific
variability,
estimation
those
presented
here
can
progressively
refined,
transferred
other
regions
iterated
following
by
employing
automated
workflows.
We
advocate
adoption
population-structured
regional-level
projections
function
dynamics.
Ecological Modelling,
Год журнала:
2024,
Номер
492, С. 110696 - 110696
Опубликована: Апрель 6, 2024
Forests
play
a
crucial
role
in
climate
regulation
and
societal
well-being.
Despite
their
significance,
the
increasing
frequency
of
droughts
poses
severe
threat
to
forest
ecosystems,
impacting
carbon
sequestration
stability.
In
Germany,
unprecedented
2018–2020
drought
resulted
extensive
tree
mortality
damaged
wood
volume,
with
lasting
effects
observed
subsequent
years.
As
models
project
continuation
such
droughts,
understanding
impact
on
forests
becomes
imperative.
However,
it
is
unclear
how
will
evolve
future
if
duration
continues
increase.
This
study
employs
model
analyze
across
various
German
types,
focusing
periods
influence
productivity.
By
utilizing
an
individual-based
growth
national
inventories,
addresses
critical
knowledge
gaps
regarding
multi-year
biomass
productivity
including
monocultures
mixed
forests.
The
simulations
consider
drought-induced
large
increase
caused
by
factors
as
pest
infestations
diseases
Germany.
Our
simulation
results
reveal
declining
aboveground
gross
primary
production
(GPP)
for
all
simulated
scenarios,
three-
six-year
drought.
GPP
reduced
46
%
3-year
scenario
58
6-year
scenario.
Notably,
prolonged
lead
cumulative
losses,
saturation
effect
scenarios
exceeding
eight
Forest
stand
composition
influences
these
impacts,
greater
losses
low-biomass
stands.
Furthermore,
different
types
exhibit
varying
responses.
Monocultures
even-sized
(mostly
planted
managed
forests)
are
more
sensitive
than
uneven-sized
provide
valuable
insights
into
resilience
ecosystem
responses
increasingly
frequent
highlighting
importance
inform
management
strategies.
Modelling
biotic
dynamics
process-based
manner
remains
challenge
that
requires
research.
Journal of Environmental Management,
Год журнала:
2024,
Номер
366, С. 121822 - 121822
Опубликована: Июль 16, 2024
Stand
age
significantly
influences
the
functioning
of
forest
ecosystems
by
shaping
structural
and
physiological
plant
traits,
affecting
water
carbon
budgets.
Forest
distribution
is
determined
interplay
tree
mortality
regeneration,
influenced
both
natural
anthropogenic
disturbances.
Unfortunately,
human-driven
alteration
presents
an
underexplored
avenue
for
enhancing
stability
resilience.
In
our
study,
we
investigated
how
impacts
resilience
budget
under
current
future
climate
conditions.
We
employed
a
state-of-the-science
biogeochemical,
biophysical,
validated
process-based
model
on
historically
managed
stands,
projecting
their
as
undisturbed
systems,
i.e.,
left
at
evolution
with
no
management
interventions
(i.e.,
forests
are
to
develop
undisturbed).
Such
model,
forced
data
from
five
Earth
System
Models
four
representative
scenarios
one
baseline
scenario
disentangle
effect
change,
spanned
several
classes
European
forests'
context,
each
stand.
Our
findings
indicate
that
Net
Primary
Production
(NPP)
peaks
in
young
middle-aged
(16-
50-year-old),
aligning
longstanding
ecological
theories,
regardless
scenario.
Under
beech
exhibited
increase
NPP
maintained
across
all
classes,
while
remained
constant
rising
atmospheric
CO
Ecological Indicators,
Год журнала:
2024,
Номер
165, С. 112154 - 112154
Опубликована: Май 31, 2024
Close-to-nature
forestry
(CNF)
has
a
long
tradition
in
European
Alpine
forest
management,
playing
crucial
role
ensuring
the
continuous
provision
of
biodiversity
and
ecosystem
services,
including
protection
against
natural
hazards.
However,
climate
change
is
causing
huge
uncertainties
about
future
applicability
CNF
region.
The
question
arises
as
to
whether
current
practices
are
still
suitable
for
adapting
forests
impacts
while
also
meeting
increasing
societal
demands
regarding
forests,
their
potential
contribution
mitigation.
To
answer
this
question,
we
simulated
development
using
ForClim
model
at
two
study
sites,
together
representing
large
biogeographic
gradient
from
high-elevation
inner
(Switzerland)
lower-elevation
south-eastern
(Slovenia).
simulations
considered
three
scenarios
(historical
climate,
SSP2-4.5
SSP5-8.5)
six
alternative
management
strategies,
both
climate-adapted
versions.
Using
an
indicator
based
multi-criteria
decision
analysis
framework,
assessed
joint
on
key
services
investigated
regions,
carbon
sequestration
(CS)
inside
outside
boundary.
effects
varied,
among
within
sites
along
biogeographical
gradient.
While
CS
was
more
resistant
under
site,
it
sensitive
where
potentials
decreased
lower
elevations.
This
adverse
effect
could
be
partly
mitigated
by
fostering
use
tree
species.
adaptations
did
not
meet
multiple
objectives
equally
well:
gravitation
hazards
timber
production
benefited
silvicultural
practice,
variants
with
low-intensity
or
no
management.
In
conclusion,
high
continue
fulfilling
its
forests.
A
differentiated
approach
will
needed
future,
however,
identify
stands
adaptive
measures
required,
especially
particularly
vulnerable
change.
combination
less
intensively
managed
unmanaged
areas,
provides
portfolio
that
help
society.
Current Forestry Reports,
Год журнала:
2023,
Номер
9(4), С. 219 - 229
Опубликована: Июнь 15, 2023
Abstract
Purpose
of
Review
Forest
models
are
becoming
essential
tools
in
forest
research,
management,
and
policymaking
but
currently
under
deep
transformation.
In
this
review
the
most
recent
literature
(2018–2022),
we
aim
to
provide
an
updated
general
view
main
topics
attracting
efforts
modelers,
trends
already
place,
some
current
future
challenges
that
field
will
face.
Recent
Findings
Four
major
on
modelling
efforts:
data
acquisition,
productivity
estimation,
ecological
pattern
predictions,
management
related
ecosystem
services.
Although
may
seem
different,
they
all
converging
towards
integrated
approaches
by
pressure
climate
change
as
coalescent
force,
pushing
research
into
mechanistic,
cross-scale
simulations
functioning
structure.
Summary
We
conclude
is
experiencing
exciting
challenging
time,
due
combination
new
methods
easily
acquire
massive
amounts
data,
techniques
statistically
process
such
refinements
mechanistic
incorporating
higher
levels
complexity
breaking
traditional
barriers
spatial
temporal
scales.
However,
available
also
creating
challenges.
any
case,
increasingly
acknowledged
a
community
interdisciplinary
effort.
As
such,
ways
deliver
simplified
versions
or
easy
entry
points
should
be
encouraged
integrate
non-modelers
stakeholders
since
its
inception.
This
considered
particularly
academic
modelers
increasing
mathematical
models.
GIScience & Remote Sensing,
Год журнала:
2023,
Номер
60(1)
Опубликована: Май 12, 2023
Though
many
new
remote
sensing
technologies
have
been
introduced
to
analyze
forests,
regional-scale
species-level
mapping
products
are
still
rare,
especially
in
large
mountainous
areas.
Tree
species
abundance,
low
spectral
separability
among
and
huge
computing
demand
hindrances
for
obtaining
an
accurate
stand
tree
map.
This
study
addressed
these
problems
by
synergizing
regionalization,
multiple
feature
fusion,
model
fusion
proposed
a
machine
learning
workflow.
The
whole
area,
i.e.
Yunnan
province
China
(approximately
390,000
km2),
was
firstly
divided
into
8
distinct
floristic
regions
according
the
distributions
phylogenetic
relationships
of
native
species.
Thereafter,
with
Google
Earth
Engine
(GEE)
platform,
data
sets,
including
Sentinel-2
imagery,
SRTM
DEM,
WorldClim
bioclimatic,
were
collected
construct
high-dimensional
pool
each
region.
Thirdly,
maximum
entropy
(MaxEnt),
generally
used
predicting
ecological
niche,
three
classifiers,
Random
Forest
(RF),
Support
Vector
Machines
(SVM),
Extreme
Gradient
Boosting
(XGBoost),
pre-classify
environmental
data,
respectively.
After
that,
two
types
decision
strategies,
parallel
serial
ensembles,
applied
fuse
pre-classification
probability
maps
sub-region.
Finally,
spatial
distribution
19
forest
over
Province
obtained
mosaicking
best
classification
results
from
sub-regions.
Our
method
achieves
overall
accuracy
72.18%
on
entire
validation
dataset.
models
significantly
improve
accuracy,
eight
partitioned
improving
7.33%–25.39%
average
compared
base
classifiers.
demonstrates
that
partitioning
strategy
integrating
proper
algorithm
niche
can
montane
forests.
Forests,
Год журнала:
2024,
Номер
15(7), С. 1124 - 1124
Опубликована: Июнь 28, 2024
Through
photosynthesis,
forests
absorb
annually
large
amounts
of
atmospheric
CO2.
However,
they
also
release
CO2
back
through
respiration.
These
two,
opposite
in
sign,
fluxes
determine
how
much
the
carbon
is
stored
or
released
into
atmosphere.
The
mean
seasonal
cycle
(MSC)
an
interesting
metric
that
associates
phenology
and
(C)
partitioning/allocation
analysis
within
forest
stands.
Here,
we
applied
3D-CMCC-FEM
model
analyzed
its
capability
to
represent
main
C-fluxes,
by
validating
against
observed
data,
questioning
if
sink/source
seasonality
influenced
under
two
scenarios
climate
change,
five
contrasting
European
sites.
We
found
has,
current
conditions,
robust
predictive
abilities
estimating
NEE.
Model
results
predict
a
consistent
reduction
forest’s
capabilities
act
as
C-sink
change
stand-aging
at
all
Such
predicted
despite
number
annual
days
evergreen
increasing
over
years,
indicating
downward
trend.
Similarly,
deciduous
forests,
maintaining
relatively
stable
throughout
year
century,
show
their
overall
capacity.
Overall,
both
types
sites
future
mitigating
potential.