Mitigation and Adaptation Strategies for Global Change,
Journal Year:
2023,
Volume and Issue:
28(8)
Published: Nov. 4, 2023
Abstract
Fire
is
an
important
risk
in
global
forest
loss
and
contributed
20%
to
25%
of
the
anthropogenic
greenhouse
gas
emissions
between
1997
2016.
Forest
fire
risks
will
increase
with
climate
change
some
locations,
but
existing
estimates
costs
using
forests
for
mitigation
do
not
yet
fully
account
these
or
how
inter-temporally.
To
quantify
importance
risks,
we
undertook
a
study
individual
country
combining
economic
datasets
remote
sensing
data
from
2001
2020.
Our
premia
better
burning
that
would
be
additional
risk-free
break-even
price
credits
offsets
promote
carbon
sequestration
storage
forests.
results
show
following:
(1)
can
much
larger
than
historical
area
burned;
(2)
countries,
have
large
impact
on
relative
country-level
offsets;
(3)
spatial
inter-temporal
heterogeneity
fires
across
countries
2020;
(4)
properly
incorporating
into
credits/offset
programs.
As
part
our
analysis,
emphasise
possible
sub-national
scale
differences,
highlight
10
Canadian
provinces.
Frontiers in Forests and Global Change,
Journal Year:
2023,
Volume and Issue:
6
Published: March 21, 2023
Improved
forest
management
(IFM)
has
the
potential
to
remove
and
store
large
quantities
of
carbon
from
atmosphere.
Around
world,
293
IFM
offset
projects
have
produced
11%
credits
by
voluntary
registries
date,
channeling
substantial
climate
mitigation
funds
into
projects.
This
paper
summarizes
state
scientific
literature
for
key
quality
criteria—additionality,
baselines,
leakage,
durability,
accounting—and
discusses
how
well
currently
used
protocols
align
with
this
literature.
Our
analysis
identifies
important
areas
where
deviate
understanding
related
risk
reversal,
accounting
in
forests
harvested
wood
products,
risking
significant
over-estimation
credits.
We
recommend
specific
improvements
that
would
likely
result
more
accurate
estimates
program
impact,
identify
need
research.
Most
importantly,
conservative
baselines
can
substantially
reduce,
but
not
resolve,
over-crediting
multiple
factors.
Earth system science data,
Journal Year:
2024,
Volume and Issue:
16(8), P. 3601 - 3685
Published: Aug. 13, 2024
Abstract.
Climate
change
contributes
to
the
increased
frequency
and
intensity
of
wildfires
globally,
with
significant
impacts
on
society
environment.
However,
our
understanding
global
distribution
extreme
fires
remains
skewed,
primarily
influenced
by
media
coverage
regionalised
research
efforts.
This
inaugural
State
Wildfires
report
systematically
analyses
fire
activity
worldwide,
identifying
events
from
March
2023–February
2024
season.
We
assess
causes,
predictability,
attribution
these
climate
land
use
forecast
future
risks
under
different
scenarios.
During
2023–2024
season,
3.9×106
km2
burned
slightly
below
average
previous
seasons,
but
carbon
(C)
emissions
were
16
%
above
average,
totalling
2.4
Pg
C.
Global
C
record
in
Canadian
boreal
forests
(over
9
times
average)
reduced
low
African
savannahs.
Notable
included
record-breaking
extent
Canada,
largest
recorded
wildfire
European
Union
(Greece),
drought-driven
western
Amazonia
northern
parts
South
America,
deadly
Hawaii
(100
deaths)
Chile
(131
deaths).
Over
232
000
people
evacuated
Canada
alone,
highlighting
severity
human
impact.
Our
revealed
that
multiple
drivers
needed
cause
areas
activity.
In
Greece,
a
combination
high
weather
an
abundance
dry
fuels
probability
fires,
whereas
area
anomalies
weaker
regions
lower
fuel
loads
higher
direct
suppression,
particularly
Canada.
Fire
prediction
showed
mild
anomalous
signal
1
2
months
advance,
Greece
had
shorter
predictability
horizons.
Attribution
indicated
modelled
up
40
%,
18
50
due
during
respectively.
Meanwhile,
seasons
magnitudes
has
significantly
anthropogenic
change,
2.9–3.6-fold
increase
likelihood
20.0–28.5-fold
Amazonia.
By
end
century,
similar
magnitude
2023
are
projected
occur
6.3–10.8
more
frequently
medium–high
emission
scenario
(SSP370).
represents
first
annual
effort
catalogue
events,
explain
their
occurrence,
predict
risks.
consolidating
state-of-the-art
science
delivering
key
insights
relevant
policymakers,
disaster
management
services,
firefighting
agencies,
managers,
we
aim
enhance
society's
resilience
promote
advances
preparedness,
mitigation,
adaptation.
New
datasets
presented
this
work
available
https://doi.org/10.5281/zenodo.11400539
(Jones
et
al.,
2024)
https://doi.org/10.5281/zenodo.11420742
(Kelley
2024a).
Abstract
Carbon
offsets
are
a
widely
used
climate
policy
instrument
that
can
reduce
mitigation
costs
and
generate
important
environmental
social
co-benefits.
However,
they
increase
emissions
if
lack
integrity.
We
analysed
the
performance
of
one
world’s
largest
nature-based
offset
types:
human-induced
regeneration
projects
under
Australia’s
carbon
scheme.
The
supposed
to
involve
permanent
even-aged
native
forests
through
changes
in
land
management.
182
found
limited
evidence
credited
areas.
Changes
woody
vegetation
cover
within
areas
have
been
also
largely
mirror
adjacent
comparison
areas,
outside
projects,
suggesting
observable
predominantly
attributable
factors
other
than
project
activities.
results
add
growing
literature
highlighting
practical
limitations
potential
for
schemes
credit
abatement
is
non-existent,
non-additional
potentially
impermanent.
Journal of Forestry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Forest
ecosystems
play
a
crucial
role
in
the
global
carbon
cycle,
acting
as
substantial
sinks
and
offering
pathways
for
climate
change
mitigation
adaptation
strategies,
including
greenhouse
gas
(GHG)
emission
offsetting
bioeconomic
opportunities
collectively
referred
to
Natural
Climate
Solutions
(NCS).
Over
100
forest
modeling
experts,
primarily
from
US,
were
engaged
through
Carbon
Modeling
Group
(FCMG)
identify
prioritize
research
needs,
opportunities,
knowledge
gaps
refining
application
of
NCS
meet
growing
spectrum
GHG
strategies
initially
focused
on
US
forests
with
possible
applicability
other
temperate/boreal
systems.
This
engagement
informed
development
framework
decision-making,
which
offers
scalable,
hierarchical,
transdisciplinary
approach
that
can
address
immediate
needs
(e.g.,
regeneration
modeling)
while
advancing
critical,
long-term
scientific
advances
lateral
flux
aligns
technology
model
perspectives
across
users
sectors
over
.
Proceedings of the National Academy of Sciences,
Journal Year:
2025,
Volume and Issue:
122(10)
Published: March 3, 2025
To
meet
decarbonization
targets,
nations
around
the
globe
have
made
ambitious
commitments
to
expand
forested
land.
Operationalizing
these
requires
choosing
a
planting
strategy:
How
many
trees
should
be
planted,
of
which
species,
and
where?
Given
those
choices
must
now
but
long-term
consequences,
such
decisions
are
plagued
by
uncertainty.
For
example,
species
that
well
suited
present
conditions
may
perform
poorly
under
future
climates,
yet
climates
themselves
highly
uncertain.
Using
exemplar
United
Kingdom,
nation
committed
achieving
net
zero
emissions
midcentury,
we
quantify
key
uncertainties
pertaining
coevolving
climate
economic
examine
how
modern
methods
decision-making
uncertainty
can
advise
on
choices.
Our
analysis
reveals
best
strategy
assuming
"high-emissions"
is
radically
different
for
remains
"near-historic"
path.
Planting
former
while
experiencing
latter
results
in
substantial
costs
UK
society.
Assimilating
into
identifies
strategies
diversify
risk
significantly
reduce
probability
high-cost
outcomes.
Importantly,
our
research
scope
mitigating
through
choice
relatively
limited.
Despite
this
persistent
risk,
find
tree
cost-effective
carbon
removal
solution
when
compared
alternative
technologies,
even
alternatives
assumed
riskless.
One Earth,
Journal Year:
2023,
Volume and Issue:
6(12), P. 1638 - 1651
Published: Dec. 1, 2023
Global
climate-change
overshoot
scenarios,
where
warming
exceeds
Paris
Agreement
limits
before
being
brought
back
down,
are
highly
dependent
on
land-based
carbon
dioxide
removal
(CDR).
In
the
Intergovernmental
Panel
Climate
Change
(IPCC)
Sixth
Assessment
Report
(AR6),
such
scenarios
supported
by
optimistic
global
assessments
of
technical
and
economic
potential
for
CDR.
However,
a
further
type
potential—the
"feasible"
potential,
which
includes
socio-cultural,
environmental,
institutional
factors—is
noted
in
AR6
but
not
quantified.
Here,
we
set
out
research
frameworks
to
work
toward
quantification
this
feasible
potential.
We
first
argue
that
quantifying
will
substantially
reduce
current
assessed
CDR
Second,
demonstrate
how
transdisciplinary
methods
improving
understanding
feasibility
constraints
Third,
explore
synthesizing
these
advances
during
next
IPCC
assessment
process.
conclude
community
should
carefully
consider
use
techno-economic
evidence
policymakers.