Carbon Management,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 20, 2025
To
reduce
its
greenhouse
gas
(GHG)
impact,
the
United
States
government
plans
GHG
Measurement,
Monitoring,
and
Information
System
(MMIS)
activities
to
better
quantify
sources
sinks
in
natural,
forested,
agricultural
ecosystems.
The
national
strategy
discusses
several
areas
where
a
robust
MMIS
can
be
strengthened
by
near-surface
remote
sensing
(RS)
technology—i.e.
non-contact
measurement
of
electromagnetic
signals
sensors
mounted
near
ground,
on
towers,
or
drones.
Here,
we
outline
specific
applications
RS
for
an
MMIS,
using
tools
presently
available
offering
guidance
improvements
needed
expansion
their
applications.
Near-surface
help
carbon
stocks
assessing
vegetation
structure
function,
it
inform
cross-scale
understanding
ecosystem
processes
properties.
integration
into
will
overcome
some
limitations
uncertainties
current
cycle
accounting
methods
project
implementation.
Development
robust,
standardized
systems
accomplished
through
transdisciplinary
partnerships
among
agencies,
academics,
land
managers,
private
sector.
result
hasten
achievement
objectives
improved
bottom-up
top-down
estimation
accessibility
standardization
data
measurements.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 23, 2024
Abstract
Natural
climate
solutions
can
mitigate
change
in
the
near-term,
during
a
climate-critical
window.
Yet,
persistent
misunderstandings
about
what
constitutes
natural
solution
generate
unnecessary
confusion
and
controversy,
thereby
delaying
critical
mitigation
action.
Based
on
review
of
scientific
literature
best
practices,
we
distill
five
foundational
principles
(nature-based,
sustainable,
climate-additional,
measurable,
equitable)
fifteen
operational
for
practical
implementation.
By
adhering
to
these
principles,
practitioners
activate
effective
durable
solutions,
enabling
rapid
wide-scale
adoption
necessary
meaningfully
contribute
mitigation.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Jan. 8, 2024
Accurate
and
cost-effective
quantification
of
the
carbon
cycle
for
agroecosystems
at
decision-relevant
scales
is
critical
to
mitigating
climate
change
ensuring
sustainable
food
production.
However,
conventional
process-based
or
data-driven
modeling
approaches
alone
have
large
prediction
uncertainties
due
complex
biogeochemical
processes
model
lack
observations
constrain
many
key
state
flux
variables.
Here
we
propose
a
Knowledge-Guided
Machine
Learning
(KGML)
framework
that
addresses
above
challenges
by
integrating
knowledge
embedded
in
model,
high-resolution
remote
sensing
observations,
machine
learning
(ML)
techniques.
Using
U.S.
Corn
Belt
as
testbed,
demonstrate
KGML
can
outperform
black-box
ML
models
quantifying
dynamics.
Our
approach
quantitatively
reveals
86%
more
spatial
detail
soil
organic
changes
than
coarse-resolution
approaches.
Moreover,
outline
protocol
improving
via
various
paths,
which
be
generalized
develop
hybrid
better
predict
earth
system
Nature Climate Change,
Journal Year:
2024,
Volume and Issue:
14(4), P. 402 - 406
Published: March 21, 2024
Abstract
Viable
nature-based
climate
solutions
(NbCS)
are
needed
to
achieve
goals
expressed
in
international
agreements
like
the
Paris
Accord.
Many
NbCS
pathways
have
strong
scientific
foundations
and
can
deliver
meaningful
benefits
but
effective
mitigation
is
undermined
by
with
less
certainty.
Here
we
couple
an
extensive
literature
review
expert
elicitation
on
43
find
that
at
present
most
used
pathways,
such
as
tropical
forest
conservation,
a
solid
basis
for
mitigation.
However,
experts
suggested
some
many
carbon
credit
eligibility
market
activity,
remain
uncertain
terms
of
their
efficacy.
Sources
uncertainty
include
incomplete
GHG
measurement
accounting.
We
recommend
focusing
resolving
those
uncertainties
before
broadly
scaling
implementation
quantitative
emission
or
sequestration
plans.
If
appropriate,
should
be
supported
cobenefits,
biodiversity
food
security.
Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(2)
Published: Feb. 1, 2024
Abstract
Restoring
and
preserving
the
world's
forests
are
promising
natural
pathways
to
mitigate
some
aspects
of
climate
change.
In
addition
regulating
atmospheric
carbon
dioxide
concentrations,
modify
surface
near‐surface
air
temperatures
through
biophysical
processes.
eastern
United
States
(EUS),
widespread
reforestation
during
20th
century
coincided
with
an
anomalous
lack
warming,
raising
questions
about
reforestation's
contribution
local
cooling
mitigation.
Using
new
cross‐scale
approaches
multiple
independent
sources
data,
we
uncovered
links
between
response
both
temperature
in
EUS.
Ground‐
satellite‐based
observations
showed
that
EUS
cool
land
by
1–2°C
annually
compared
nearby
grasslands
croplands,
strongest
effect
midday
growing
season,
when
is
2–5°C.
Young
(20–40
years)
have
on
temperature.
Surface
extends
air,
reducing
up
1°C
non‐forests.
Analyses
historical
cover
trends
benefits
extend
across
landscape.
Locations
surrounded
were
cooler
than
neighboring
locations
did
not
undergo
change,
areas
dominated
regrowing
associated
much
Our
work
indicates
contributed
historically
slow
pace
warming
EUS,
underscoring
potential
as
a
adaptation
strategy
temperate
regions.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(14)
Published: March 27, 2024
Structures
from
the
Stone
Age
can
provide
unique
insights
into
Late
Glacial
and
Mesolithic
cultures
around
Baltic
Sea.
Such
structures,
however,
usually
did
not
survive
within
densely
populated
Central
European
subcontinent.
Here,
we
...The
Sea
basins,
some
of
which
only
submerged
in
mid-Holocene,
preserve
structures
that
on
land.
Yet,
discovery
these
features
is
challenging
requires
cross-disciplinary
approaches
between
archeology
...
Abstract.
Mapping
in-situ
eddy
covariance
measurements
of
terrestrial
land-atmosphere
fluxes
to
the
globe
is
a
key
method
for
diagnosing
Earth
system
from
data-driven
perspective.
We
describe
first
global
products
(called
X-BASE)
newly
implemented
up-scaling
framework,
FLUXCOM-X.
The
X-BASE
comprise
estimates
CO2
net
ecosystem
exchange
(NEE),
gross
primary
productivity
(GPP)
as
well
evapotranspiration
(ET)
and,
time,
novel
fully
transpiration
product
(ETT),
at
high
spatial
(0.05°)
and
temporal
(hourly)
resolution.
NEE
-5.75
±
0.33
Pg
C
⋅
yr-1
period
2001–2020,
showing
much
higher
consistency
with
independent
atmospheric
carbon
cycle
constraints
compared
previous
versions
FLUXCOM.
improvement
was
likely
only
possible
thanks
international
effort
increase
precision
collection
processing
pipelines,
extension
more
site-years
resulting
in
wider
coverage
bio-climatic
conditions.
However,
shows
very
low
inter-annual
variability,
which
common
state-of-the-art
flux
remains
scientific
challenge.
With
125
2.1
same
period,
GPP
slightly
than
FLUXCOM
estimates,
mostly
temperate
boreal
areas.
amounts
74.7x10³
0.9x10³
km3
globally
years
but
exceeds
precipitation
many
dry
areas
indicating
overestimation
these
regions.
On
average
57
%
are
estimated
be
transpiration,
good
agreement
isotope-based
approaches,
land
surface
models.
Despite
considerable
improvements
products,
further
opportunities
development
exist.
Pathways
exploration
include
methodological
choices
selection
eddy-covariance
satellite
observations,
their
ingestion
into
configuration
machine
learning
methods.
For
this,
new
FLUXCOM-X
framework
specifically
designed
have
necessary
flexibility
experiment,
diagnose,
converge
accurate
estimates.
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
.
Scientific Data,
Journal Year:
2023,
Volume and Issue:
10(1)
Published: Sept. 11, 2023
AmeriFlux
is
a
network
of
research
sites
that
measure
carbon,
water,
and
energy
fluxes
between
ecosystems
the
atmosphere
using
eddy
covariance
technique
to
study
variety
Earth
science
questions.
AmeriFlux's
diversity
ecosystems,
instruments,
data-processing
routines
create
challenges
for
data
standardization,
quality
assurance,
sharing
across
network.
To
address
these
challenges,
Management
Project
(AMP)
designed
implemented
BASE
pipeline.
The
pipeline
begins
with
uploaded
by
site
teams,
followed
AMP
team's
assurance
control
(QA/QC),
ingestion
metadata,
publication
product.
semi-automated
enables
us
keep
pace
rapid
growth
As
2022,
product
contains
3,130
years
from
444
sites,
standardized
units
variable
names
more
than
60
common
variables,
representing
largest
long-term
repository
flux-met
in
world.
standardized,
quality-ensured
facilitates
multisite
comparisons,
model
evaluations,
syntheses.