Joule,
Journal Year:
2024,
Volume and Issue:
8(2), P. 430 - 449
Published: Jan. 19, 2024
Because
biomass
residues
do
not
cause
land-use
change,
soil
carbon
changes
are
commonly
considered
in
life
cycle
assessments
(LCAs)
of
biofuel
derived
from
forest
adopted
by
regulatory
agencies.
Here,
we
investigate
the
impacts
organic
(SOC)
caused
removing
Southern
US
on
intensity
biofuels.
We
show
that
average
greenhouse
gas
(GHG)
emissions
SOC
over
100
years
8.8–14.9
gCO2e
MJ−1,
accounting
for
20.3%–65.9%
GHG
biofuel.
These
SOC-associated
vary
time
frame,
site
conditions,
and
management
strategies.
For
land
management,
converting
to
is
more
climate
beneficial
than
on-land
decay
or
pile
burning,
depending
fossil
fuel
substitution
conditions.
Our
results
highlight
need
include
assessment
LCAs,
policymaking,
even
when
used
no
change
involved.
Global Change Biology,
Journal Year:
2017,
Volume and Issue:
23(9), P. 3742 - 3757
Published: Jan. 30, 2017
Abstract
Ongoing
climate
change
poses
significant
threats
to
plant
function
and
distribution.
Increased
temperatures
altered
precipitation
regimes
amplify
drought
frequency
intensity,
elevating
stress
mortality.
Large‐scale
forest
mortality
events
will
have
far‐reaching
impacts
on
carbon
hydrological
cycling,
biodiversity,
ecosystem
services.
However,
biogeographical
theory
global
vegetation
models
poorly
represent
recent
die‐off
patterns.
Furthermore,
as
trees
are
sessile
long‐lived,
their
responses
extremes
substantially
dependent
historical
factors.
We
show
that
periods
of
favourable
climatic
management
conditions
facilitate
abundant
tree
growth
can
lead
structural
overshoot
aboveground
biomass
due
a
subsequent
temporal
mismatch
between
water
demand
availability.
When
environmental
favourability
declines,
increases
in
temperature
protracted,
rapid,
or
both,
drive
gradient
modify
self‐thinning
relationships.
Responses
ranging
from
premature
leaf
senescence
partial
canopy
dieback
whole‐tree
reduce
area
during
the
period
for
lagged
recovery
window
thereafter.
Such
mismatches
requirements
availability
occur
at
local
regional
scales
throughout
species
geographical
range.
As
projections
predict
large
future
fluctuations
both
wet
dry
conditions,
we
expect
forests
become
increasingly
structurally
mismatched
thus
overbuilt
more
stressful
episodes.
By
accounting
context
development,
our
approach
explain
previously
problematic
aspects
large‐scale
mortality,
such
why
it
range
yet
still
be
locally
highly
variable,
some
seem
readily
attributable
an
ongoing
while
others
do
not.
This
refined
understanding
better
responses,
enabling
improved
prediction
changes
distribution
scales.
Global Change Biology,
Journal Year:
2020,
Volume and Issue:
26(6), P. 3212 - 3220
Published: March 3, 2020
Tree-ring
records
provide
global
high-resolution
information
on
tree-species
responses
to
change,
forest
carbon
and
water
dynamics,
past
climate
variability
extremes.
The
underlying
assumption
is
a
stationary
(time-stable),
quasi-linear
relationship
between
tree
growth
environment,
which
however
conflicts
with
basic
ecological
evolutionary
theory.
Indeed,
our
assessment
of
the
relevant
tree-ring
literature
demonstrates
non-stationarity
in
majority
tested
cases,
not
limited
specific
proxies,
environmental
parameters,
regions
or
species.
Non-stationarity
likely
represents
general
nature
tree-growth
proxies
environment.
Studies
assuming
stationarity
score
two
times
more
citations
influencing
other
fields
science
science-policy
interface.
To
reconcile
reality
application
for
estimates,
we
clarification
concept,
propose
simple
confidence
framework
re-evaluation
existing
studies
recommend
use
new
statistical
tool
detect
proxies.
Our
contribution
meant
stimulate
facilitate
discussion
light
results
help
increase
tree-ring-based
estimates
science,
public
policymakers.
Global Change Biology,
Journal Year:
2019,
Volume and Issue:
26(4), P. 2505 - 2518
Published: Dec. 20, 2019
The
role
of
future
forests
in
global
biogeochemical
cycles
will
depend
on
how
different
tree
species
respond
to
climate.
Interpreting
the
response
forest
growth
climate
change
requires
an
understanding
temporal
and
spatial
patterns
seasonal
climatic
influences
common
species.
We
constructed
a
new
network
310
tree-ring
width
chronologies
from
three
(Quercus
robur,
Pinus
sylvestris
Fagus
sylvatica)
collected
for
ecological,
management
purposes
south
Baltic
Sea
region
at
border
bioclimatic
zones
(temperate
continental,
oceanic,
southern
boreal).
major
factors
(temperature,
precipitation,
drought)
affecting
monthly
scales
were
identified.
Our
analysis
documents
that
20th
century
Scots
pine
deciduous
is
generally
controlled
by
parameters,
summer
moisture
availability
increasingly
important
examined.
report
changes
influence
winter
variables
over
last
decades,
where
decreasing
late
temperature
increasing
was
found.
By
comparing
climate-growth
responses
1943-1972
1973-2002
periods
characterizing
site-level
stability,
descriptive
application
segregation
distinguished
sites
with
stable
dominant
parameters
(northeast
study
region),
collectively
showed
unstable
(southeast
region).
findings
presented
here
highlight
temporally
nonuniform
variability,
there
are
geographical
coherent
regions
these
similar.
Considering
continued
future,
our
results
provide
regional
perspectives
recent
broad-scale
relationships
trees
across
temperate
boreal
transition
around
Sea.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(2)
Published: Jan. 3, 2023
Large
projected
increases
in
forest
disturbance
pose
a
major
threat
to
future
wood
fiber
supply
and
carbon
sequestration
the
cold-limited,
Canadian
boreal
ecosystem.
Given
large
sensitivity
of
tree
growth
temperature,
warming-induced
productivity
have
potential
reduce
these
threats,
but
research
efforts
date
yielded
contradictory
results
attributed
limited
data
availability,
methodological
biases,
regional
variability
dynamics.
Here,
we
apply
machine
learning
algorithm
an
unprecedented
network
over
1
million
records
(1958
2018)
from
20,089
permanent
sample
plots
distributed
across
both
Canada
United
States,
spanning
16.5
°C
climatic
gradient.
Fitted
models
were
then
used
project
near-term
(2050
s
time
period)
six
most
abundant
species
forest.
Our
reveal
large,
positive
effect
increasing
thermal
energy
on
for
target
species,
leading
20.5
22.7%
gains
with
climate
change
under
RCP
4.5
8.5.
The
magnitude
gains,
which
peak
colder
wetter
regions
forest,
suggests
that
should
no
longer
be
considered
marginal
may
fact
significantly
offset
some
negative
impacts
drought
wildfire
implications
ecological
forecasts
global
economy.
Journal of Biogeography,
Journal Year:
2018,
Volume and Issue:
46(2), P. 355 - 368
Published: Dec. 5, 2018
Abstract
Aim
The
International
Tree‐Ring
Data
Bank
(
ITRDB
)
is
the
most
comprehensive
database
of
tree
growth.
To
evaluate
its
usefulness
and
improve
accessibility
to
broad
scientific
community,
we
aimed
to:
(a)
quantify
biases,
(b)
assess
how
well
it
represents
global
forests,
(c)
develop
tools
identify
priority
areas
representativity,
d)
make
available
corrected
database.
Location
Worldwide.
Time
period
Contributed
datasets
between
1974
2017.
Major
taxa
studied
Trees.
Methods
We
identified
formatting
issues
in
all
individual
.
then
calculated
representativity
with
respect
species,
spatial
coverage,
climatic
regions,
elevations,
need
for
data
update,
limitations
on
growth,
vascular
plant
diversity,
associated
animal
diversity.
combined
these
metrics
into
a
Priority
Sampling
Index
PSI
highlight
ways
representativity.
Results
Our
refined
dataset
provides
access
network
>52
million
growth
points
worldwide.
found,
however,
that
dominated
by
trees
from
forests
low
semi‐arid
climates,
coniferous
western
North
America.
Conifers
represented
81%
even
well‐sampled
areas,
broadleaves
were
poorly
represented.
stressed
increase
diversity
terms
broadleaf
species
regions
require
attention.
Great
gains
will
be
made
increasing
research
sharing
African,
Asian,
South
American
forests.
Main
conclusions
extensive
coverage
show
great
promise
address
macroecological
questions.
achieve
this,
have
overcome
significant
gaps
A
strategic
organized
group
effort
required,
hope
provided
here
can
guide
efforts
this
invaluable
Geosciences,
Journal Year:
2016,
Volume and Issue:
6(3), P. 37 - 37
Published: Aug. 17, 2016
Climate
and
weather
have
long
been
noted
as
playing
key
roles
in
wildfire
activity,
global
warming
is
expected
to
exacerbate
fire
impacts
on
natural
urban
ecosystems.
Predicting
future
regimes
requires
an
understanding
of
how
temperature
precipitation
interact
control
activity.
Inevitably
this
historical
analyses
that
relate
annual
burning
climate
variation.
Fuel
structure
plays
a
critical
role
determining
which
climatic
parameters
are
most
influential
here,
by
focusing
the
diversity
ecosystems
California,
we
illustrate
some
principles
need
be
recognized
predicting
regimes.
Spatial
scale
analysis
important
large
heterogeneous
landscapes
may
not
fully
capture
accurate
relationships
between
fires.
Within
climatically
homogeneous
subregions,
montane
forested
show
strong
fluctuations
with
area
burned;
however,
strongly
seasonal
dependent;
e.g.,
winter
temperatures
very
little
or
no
effect
but
spring
summer
critical.
models
predict
changes
needed
improve
regime
projections.
does
appear
major
determinant
activity
all
landscapes.
Lower
elevations
lower
latitudes
increase
hotter
drier
conditions.
On
these
usually
limiting
fires
vegetation
types
ignition-limited.
Moreover,
because
they
closely
juxtaposed
human
habitations,
more
controlled
other
direct
anthropogenic
impacts.
rocket
science;
it
far
complicated
than
that.
change
relevant
landscapes,
where
relevant,
relationship
will
due
effects
trajectories,
well
feedback
processes
distribution,
plus
policy
manage