Annals of Botany,
Journal Year:
2019,
Volume and Issue:
124(5), P. 837 - 847
Published: July 24, 2019
Abstract
Background
and
Aims
Tree
rings,
as
archives
of
the
past
biosensors
present,
offer
unique
opportunities
to
study
influences
fluctuating
environment
over
decades
centuries.
As
such,
tree-ring-based
wood
traits
are
capital
input
for
global
vegetation
models.
To
contribute
earth
system
sciences,
however,
sufficient
spatial
coverage
is
required
detailed
individual-based
measurements,
necessitating
large
amounts
data.
X-ray
computed
tomography
(CT)
scanning
one
few
techniques
that
can
deliver
such
data
sets.
Methods
Increment
cores
four
different
temperate
tree
species
were
scanned
with
a
state-of-the-art
CT
at
resolutions
ranging
from
60
μm
down
4.5
μm,
an
additional
scan
resolution
0.8
splinter-sized
sample
using
second
highlight
potential
cell-level
scanning.
Calibration-free
densitometry,
based
on
full
scanner
simulation
third
system,
illustrated
increment
tropical
species.
Key
Results
We
show
how
multiscale
offers
unprecedented
mapping
rings
without
manipulation
limited
operator
intervention.
Custom-designed
holders
enable
simultaneous
multiple
ring
analysis
densitometry
well
single
core
enabling
quantitative
anatomy,
thereby
approaching
conventional
thin
section
approach.
Standardized
volumes
are,
furthermore,
ideal
imagery
automated
pipelines
neural-based
learning
detection
measurements
traits.
Conclusions
Advanced
high-throughput
processing
within
reach,
generating
pith-to-bark
width
series,
density
profiles
trait
This
would
allow
contribution
large-scale
monitoring
modelling
efforts
coverage.
BioScience,
Journal Year:
2021,
Volume and Issue:
72(3), P. 233 - 246
Published: Oct. 19, 2021
Tree-ring
time
series
provide
long-term,
annually
resolved
information
on
the
growth
of
trees.
When
sampled
in
a
systematic
context,
tree-ring
data
can
be
scaled
to
estimate
forest
carbon
capture
and
storage
landscapes,
biomes,
and-ultimately-the
globe.
A
effort
sample
tree
rings
national
inventories
would
yield
unprecedented
temporal
spatial
resolution
dynamics
help
resolve
key
scientific
uncertainties,
which
we
highlight
terms
evidence
for
greening
(enhanced
growth)
versus
browning
(reduced
growth,
increased
mortality).
We
describe
jump-starting
collection
across
continent
North
America,
given
commitments
Canada,
United
States,
Mexico
visit
inventory
plots,
along
with
existing
legacy
collections.
Failing
do
so
missed
opportunity
chart
an
evidence-based
path
toward
meeting
reduce
net
greenhouse
gas
emissions,
urgently
needed
climate
stabilization
repair.
Ecosystems,
Journal Year:
2023,
Volume and Issue:
26(5), P. 1144 - 1157
Published: Jan. 26, 2023
Abstract
Inter-annual
climatically
driven
growth
variability
of
above-ground
biomass
compartments
(for
example,
tree
stems
and
foliage)
controls
the
intensity
carbon
sequestration
into
forest
ecosystems.
However,
understanding
differences
between
climatic
response
stem
foliage
at
landscape
level
is
limited.
In
this
study,
we
examined
climate-growth
leaf
their
relationship
for
Pinus
sylvestris
(PISY)
Picea
abies
(PCAB)
in
topographically
complex
landscapes.
We
used
tree-ring
width
chronologies
time
series
normalized
difference
vegetation
index
(NDVI)
derived
from
high-resolution
Landsat
scenes
as
proxies
biomass,
respectively.
then
compared
relationships
both
topographical
categories.
Our
results
show
that
responses
rings
to
climate
differ
significantly
those
found
NDVI,
with
stronger
signal
observed
rings.
Topography
had
distinct
but
species-specific
effects:
At
moisture-limited
PISY
stands,
(tree
rings)
was
strongly
driven,
relatively
insensitive
topographic
variability.
landscapes
close
optimum
PCAB,
weak,
correlations
were
often
inverse,
no
significant
effects
topography.
Different
signals
NDVI
suggest
canopy
change
might
be
decoupled.
Furthermore,
our
hint
toward
different
prioritizations
allocation
trees
under
stressful
conditions
which
allometric
individual
long
term.
Ecosphere,
Journal Year:
2017,
Volume and Issue:
8(7)
Published: July 1, 2017
Abstract
Better
understanding
and
prediction
of
tree
growth
is
important
because
the
many
ecosystem
services
provided
by
forests
uncertainty
surrounding
how
will
respond
to
anthropogenic
climate
change.
With
ultimate
goal
improving
models
forest
dynamics,
here
we
construct
a
statistical
model
that
combines
complementary
data
sources,
tree‐ring
inventory
data.
A
Bayesian
hierarchical
was
used
gain
inference
on
effects
factors
growth—individual
size,
climate,
biophysical
conditions,
stand‐level
competitive
environment,
tree‐level
canopy
status,
management
treatments—using
both
diameter
at
breast
height
(dbh)
The
consists
two
multiple
regression
models,
one
each
for
linked
via
constant
proportionality
between
coefficients
are
found
in
parallel
regressions.
This
applied
set
~130
increment
cores
~500
repeat
measurements
dbh
single
site
Jemez
Mountains
north‐central
New
Mexico,
USA
.
serve
as
only
source
information
annual
responds
variation,
whereas
types
inform
non‐climatic
growth.
Inferences
from
included
positive
seasonal
precipitation,
wetness
index,
ratio,
negative
dbh,
temperature,
southerly
aspect
radiation,
plot
basal
area.
Climatic
inferred
were
confirmed
dendroclimatic
analysis.
Combining
sources
substantially
reduced
about
non‐climate
fixed
radial
increments.
demonstrates
measured
trees,
combined
with
developed
small
number
can
be
quantify
parse
influences
absolute
We
highlight
kinds
research
questions
addressed
combining
high‐resolution
contained
rings
rich
tree‐
inventories,
including
projection
under
future
scenarios,
carbon
accounting,
investigation
actions
aimed
increasing
resilience.
Annals of Botany,
Journal Year:
2019,
Volume and Issue:
124(5), P. 837 - 847
Published: July 24, 2019
Abstract
Background
and
Aims
Tree
rings,
as
archives
of
the
past
biosensors
present,
offer
unique
opportunities
to
study
influences
fluctuating
environment
over
decades
centuries.
As
such,
tree-ring-based
wood
traits
are
capital
input
for
global
vegetation
models.
To
contribute
earth
system
sciences,
however,
sufficient
spatial
coverage
is
required
detailed
individual-based
measurements,
necessitating
large
amounts
data.
X-ray
computed
tomography
(CT)
scanning
one
few
techniques
that
can
deliver
such
data
sets.
Methods
Increment
cores
four
different
temperate
tree
species
were
scanned
with
a
state-of-the-art
CT
at
resolutions
ranging
from
60
μm
down
4.5
μm,
an
additional
scan
resolution
0.8
splinter-sized
sample
using
second
highlight
potential
cell-level
scanning.
Calibration-free
densitometry,
based
on
full
scanner
simulation
third
system,
illustrated
increment
tropical
species.
Key
Results
We
show
how
multiscale
offers
unprecedented
mapping
rings
without
manipulation
limited
operator
intervention.
Custom-designed
holders
enable
simultaneous
multiple
ring
analysis
densitometry
well
single
core
enabling
quantitative
anatomy,
thereby
approaching
conventional
thin
section
approach.
Standardized
volumes
are,
furthermore,
ideal
imagery
automated
pipelines
neural-based
learning
detection
measurements
traits.
Conclusions
Advanced
high-throughput
processing
within
reach,
generating
pith-to-bark
width
series,
density
profiles
trait
This
would
allow
contribution
large-scale
monitoring
modelling
efforts
coverage.