To
assess
the
degree
to
which
it
has
met
its
commitments
under
Paris
Agreement,
Morocco
is
called
upon
carry
out
carbon
assessments
and
transparent
evaluations.
Within
forestry
sector,
little
known
about
role
of
Morocco’s
forests
in
contributing
uptake.
With
this
aim,
we
applied
for
first
time
literature
3-PG
model
Cedrus
atlantica
((Endl.)
Manetti
ex
Carrière,
1855),
represents
131.800
ha
forest
area
(i.e.
Azrou
forest).
Through
Differential
Evolution
-
Markov
Chains
(DE-MC)
tested
assessed
sensitivity
calibrated
model.
This
process-based
provided
significant
results
regarding
sequestration
capacity.
The
showed
following:
i-
Parameters
related
stand
properties,
canopy
structure,
processes,
as
well
biomass
partitioning,
are
most
important
or
sensitive
performance
model;
ii-
DE-MC
method
optimized
values
parameters
was
confirmed
by
means
Gelman-Rubin
convergence
test;
iii-
According
predictions
3-PG,
Net
Primary
Production
pure
varies
between
0.32
7.88
tC.ha−1.yr−1,
equal
average
4.9
given
total
corresponds
7078
tC.yr−1.
Forests,
Journal Year:
2023,
Volume and Issue:
14(2), P. 401 - 401
Published: Feb. 16, 2023
To
assess
the
degree
to
which
it
has
met
its
commitments
under
Paris
Agreement,
Morocco
is
called
upon
carry
out
carbon
assessments
and
transparent
evaluations.
Within
forestry
sector,
little
known
about
role
of
Morocco’s
forests
in
contributing
uptake.
With
this
aim,
we
applied
for
first
time
literature
3-PG
model
Cedrus
atlantica
((Endl.)
Manetti
ex
Carrière,
1855),
represents
131,800
ha
forest
area
(i.e.,
Azrou
forest).
Through
Differential
Evolution-Markov
Chains
(DE-MC)
tested
assessed
sensitivity
calibrated
model.
This
process-based
provided
significant
results
regarding
sequestration
capacity.
The
showed
following:
i.
Parameters
related
stand
properties,
canopy
structure,
processes,
as
well
biomass
partitioning,
are
most
important
or
sensitive
performance
model;
ii.
DE-MC
method
optimized
values
parameters
was
confirmed
by
means
Gelman–Rubin
convergence
test;
iii.
According
predictions
3-PG,
Net
Primary
Production
pure
varies
between
0.35
8.82
tC.ha−1.yr−1,
equal
average
5.48
given
total
corresponds
7918
tC.ha−1.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 13, 2023
Abstract
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.
Thus,
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
biogeochemical
model
on
three
historically
managed
stands,
projecting
their
as
undisturbed
systems,
i.e.,
left
at
evolution
with
no
management
interventions.
The
model,
driven
data
from
five
Earth
System
Models
four
representative
scenarios
one
baseline
scenario,
spanned
11
classes
each
stand.
Our
findings
indicate
that
Net
Primary
Production
(NPP)
peaks
in
young
middle-aged
(16-
to
50-year-old),
aligning
ecological
theories,
regardless
scenario.
Under
change,
beech
exhibited
increase
NPP
maintained
across
all
classes,
while
remained
constant
rising
atmospheric
CO
2
temperatures.
However,
declined
change
Norway
spruce
Scots
pine
sites.
these
coniferous
forests,
were
more
influenced.
These
results
underscore
necessity
accounting
species-specific
reactions
evaluating
We,
therefore,
advocate
customized
strategies
enhance
adaptability
forests
changing
climatic
conditions,
taking
into
account
diverse
responses
different
species
groups
climate.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 11, 2024
Abstract
Forest
ecosystems
account
for
about
one-third
of
the
Earth’s
land
area,
and
monitoring
their
structure
dynamics
is
essential
understanding
land’s
carbon
cycle
role
in
greenhouse
gas
balance.
In
this
framework,
process-based
forest
models
(PBFMs)
allow
studying,
predicting
growth
dynamics,
capturing
spatial
temporal
patterns
fluxes
stocks.
The
‘Three
Dimensional-Coupled
Model
Carbon
Cycle
-
Ecosystem
Module’
(3D-CMCC-FEM)
a
well-known
eco-physiological,
biogeochemical,
biophysical
model,
able
to
simulate
energy,
carbon,
water
nitrogen
allocation
homogeneous
heterogenous
ecosystem.
model
specifically
designed
represent
stands,
from
simple
ones
those
with
complex
structures,
involving
several
cohorts
competing
light
other
resources
prognostic
way.
Currently,
implemented
C-language,
which
can
be
challenging
broad
public
use,
thus
limiting
its
applications.
paper,
we
present
open-source
R
package
‘R3DFEM’
introduces
efficient
methods
for:
i)
generating
handling
input
data
needed
initialization;
ii)
running
simulations
different
set
up
exploring
input;
iii)
plotting
output
data.
functions
R-package
are
user-friendly
intended
all
users
little
advanced
coding
skills,
who
aim
perform
using
3D-CMCC-FEM.
Here
functionalities
some
real
case
study
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 21, 2024
The
consequences
of
climate
change
continue
to
threaten
European
forests,
particularly
for
species
located
at
the
edges
their
latitudinal
and
altitudinal
ranges.
While
extensively
studied
in
Central
Europe,
beech
forests
require
further
investigation
understand
how
will
affect
these
ecosystems
Mediterranean
areas.
Proposed
silvicultural
options
increasingly
aim
sustainable
management
reduce
biotic
abiotic
stresses
enhance
forest
ecosystems'
resistance
resilience
mechanisms.
Process-based
models
(PBMs)
can
help
us
simulate
such
phenomena
capture
early
stress
signals
while
considering
effect
different
approaches.
In
this
study,
we
focus
on
estimating
sensitivity
two
state-of-the-art
PBMs
by
simulating
carbon
water
fluxes
stand
level
assess
productivity
changes
feedback
resulting
from
climatic
forcings
as
well
regimes.
We
applied
3D-CMCC-FEM
MEDFATE
(C)
(H20)
sites
Italian
peninsula,
Cansiglio
north
Mongiana
south,
under
managed
vs.
unmanaged
scenarios
current
(RCP4.5
RCP8.5).
To
ensure
confidence
modes'
resuts,
preliminary
evaluated
performance
C
H2O
flux
three
additional
FLUXNET
network
along
a
gradient
spanning
Denmark
central
Italy.
model
achieved
R2
values
0.83
0.86
with
RMSEs
2.53
2.05
H20
fluxes,
respectively.
showed
0.76
0.69
2.54
3.01.
At
site
northern
Italy,
both
simulated
general
increase
RCP8.5
scenario
compared
climate.
Still,
no
benefit
plots
ones,
does
not
have
availability
limitations,
thus,
competition
is
low.
southern
predict
decrease
forcing
climate;
an
when
specific
regimes
scenarios.
Conversely,
are
experience
first
mortality
prematurely
due
(MEDFATE)
starvation
(3D-CMCC-FEM)
conclusion,
interventions
may
be
considered
viable
solution
conservation
future
conditions
moister
like
Cansiglio,
drier
lie
alone.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 14, 2023
Abstract
Process-based
Forest
Models
(PBFMs)
offer
the
possibility
to
capture
important
spatial
and
temporal
patterns
of
both
carbon
fluxes
stocks
in
forests,
accounting
for
ecophysiological,
climate
geographical
variability.
Yet,
their
predictive
capacity
should
be
demonstrated
not
only
at
stand-level
but
also
context
large
heterogeneity.
For
first
time,
we
apply
a
stand
scale
process-based
model
(3D-CMCC-FEM)
spatially
explicit
manner
1
km
resolution
Mediterranean
region
southern
Italy.
Specifically,
developed
methodology
initialize
that
comprehends
use
information
derived
from
integration
remote
sensing
(RS)
data,
national
forest
inventory
data
regional
maps
characterize
structural
features
main
species.
Gross
primary
production
(GPP)
is
simulated
over
period
2005-2019
multiyear
capability
simulating
GPP
evaluated
aggregated
as
species-level
by
means
independent
multiple
sources
based
on
different
RS-based
products.
We
show
able
reproduce
most
(∼2800
2
)
(32
years
total)
observed
seasonal,
annual
interannual
time
scales,
even
species-level.
These
new
very
promising
results
open
applying
3D-CMCC-
FEM
confidently
robustly
investigate
forests’
behavior
under
environmental
variability
areas
across
highly
variable
ecological
bio-
heterogeneity
region.
Key
Points
regular
grid
Initial
state
estimated
using
input
data.
The
3D-CMCC-FEM
shows
comparably
estimates
temporally
gross
production,
when
compared
satellite-based
To
assess
the
degree
to
which
it
has
met
its
commitments
under
Paris
Agreement,
Morocco
is
called
upon
carry
out
carbon
assessments
and
transparent
evaluations.
Within
forestry
sector,
little
known
about
role
of
Morocco’s
forests
in
contributing
uptake.
With
this
aim,
we
applied
for
first
time
literature
3-PG
model
Cedrus
atlantica
((Endl.)
Manetti
ex
Carrière,
1855),
represents
131.800
ha
forest
area
(i.e.
Azrou
forest).
Through
Differential
Evolution
-
Markov
Chains
(DE-MC)
tested
assessed
sensitivity
calibrated
model.
This
process-based
provided
significant
results
regarding
sequestration
capacity.
The
showed
following:
i-
Parameters
related
stand
properties,
canopy
structure,
processes,
as
well
biomass
partitioning,
are
most
important
or
sensitive
performance
model;
ii-
DE-MC
method
optimized
values
parameters
was
confirmed
by
means
Gelman-Rubin
convergence
test;
iii-
According
predictions
3-PG,
Net
Primary
Production
pure
varies
between
0.32
7.88
tC.ha−1.yr−1,
equal
average
4.9
given
total
corresponds
7078
tC.yr−1.