Abstract.
Long-term,
reliable
datasets
of
satellite-based
vegetation
condition
are
essential
for
understanding
terrestrial
ecosystem
responses
to
global
environmental
change,
particularly
in
Australia
which
is
characterised
by
diverse
ecosystems
and
strong
interannual
climate
variability.
We
comprehensively
evaluate
several
existing
AVHRR
NDVI
products
their
suitability
long-term
monitoring
Australia.
Comparisons
with
MODIS
highlight
significant
deficiencies,
over
densely
vegetated
regions.
Moreover,
all
the
assessed
failed
adequately
reproduce
inter-annual
variability
pre-MODIS
era
as
indicated
Landsat
anomalies.
To
address
these
limitations,
we
propose
a
new
approach
calibrating
harmonising
NOAA’s
Climate
Data
Record
MCD43A4
using
gradient-boosting
decision
tree
ensemble
method.
Two
versions
developed,
one
incorporating
data
predictors
(‘AusENDVI-clim’:
Australian
Empirical
NDVI-climate)
another
independent
(‘AusENDVI-noclim’).
These
datasets,
spanning
1982–2013
at
spatial
resolution
0.05°,
exhibit
correlation
low
relative
errors
compared
NDVI,
accurately
reproducing
seasonal
cycles
Furthermore,
they
closely
replicate
era.
A
method
gap-filling
AusENDVI
record
also
developed
that
leverages
climate,
atmospheric
CO2
concentration,
woody
cover
fraction
predictors.
The
resulting
synthetic
dataset
shows
excellent
agreement
observations.
Finally,
provide
complete
41-year
where
gap
filled
from
January
1982
February
2000
seamlessly
joined
March
December
2022.
Analysing
40-year
per-pixel
trends
Australia’s
annual
maximum
revealed
increasing
values
across
most
continent.
shifts
timing
peak
identified,
underscoring
dataset's
potential
crucial
questions
regarding
changing
phenology
its
drivers.
can
be
used
studying
Australia's
dynamics
downstream
impacts
on
carbon
water
cycles,
provides
foundation
further
research
into
drivers
change.
open
access
available
https://doi.org/10.5281/zenodo.10802704
(Burton,
2024).
Abstract
Both
carbon
dioxide
uptake
and
albedo
of
the
land
surface
affect
global
climate.
However,
climate
change
mitigation
by
increasing
can
cause
a
warming
trade-off
decreasing
albedo,
with
most
research
focusing
on
afforestation
its
interaction
snow.
Here,
we
present
observations
from
176
globally
distributed
flux
stations.
We
demonstrate
gradual
decline
in
maximum
achievable
annual
as
increases,
even
within
subgroups
non-forest
snow-free
ecosystems.
Based
paired-site
permutation
approach,
quantify
likely
impact
use
albedo.
Shifting
to
attainable
at
each
site
would
moderate
net
for
first
approximately
20
years,
followed
strong
cooling
effect.
A
balanced
policy
co-optimizing
is
possible
that
avoids
any
timescale,
but
results
weaker
long-term
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.
Biogeosciences,
Journal Year:
2023,
Volume and Issue:
20(19), P. 4109 - 4134
Published: Oct. 9, 2023
Abstract.
We
develop
high-resolution
(1
km)
estimates
of
gross
primary
productivity
(GPP),
ecosystem
respiration
(ER),
and
net
exchange
(NEE)
over
the
Australian
continent
for
period
January
2003
to
June
2022
by
empirical
upscaling
flux
tower
measurements.
compare
our
with
nine
other
products
that
cover
three
broad
categories
define
current
methods
estimating
terrestrial
carbon
cycle
assess
if
consiliences
between
datasets
can
point
correct
dynamics
Australia's
cycle.
Our
results
indicate
regional
greatly
improves
upon
existing
global
efforts,
outperforms
process-based
models,
agrees
much
better
CO2
Australia
as
estimated
two
atmospheric
inversions.
nearly
20-year
fluxes
revealed
is
a
strong
sink
−0.44
PgC
yr−1
(interquartile
range,
IQR
=
0.42
yr−1)
on
average,
an
inter-annual
variability
0.18
average
seasonal
amplitude
0.85
yr−1.
Annual
mean
uptake
from
ranged
considerably,
while
anomalies
showed
agreement
methods.
NEE
were
predominately
driven
cumulative
rainfall
deficits
surpluses,
resulting
in
larger
anomalous
responses
GPP
than
ER.
In
contrast,
we
show
long-term
dictated
more
ER
GPP,
peak
typically
occurring
during
cooler,
drier
austral
autumn
winter
months.
This
new
estimate
provides
benchmark
assessment
against
land
surface
model
simulations
means
monitoring
at
unprecedented
high
resolution.
call
this
“AusEFlux”
(Australian
Empirical
Fluxes).
Global Biogeochemical Cycles,
Journal Year:
2023,
Volume and Issue:
37(12)
Published: Dec. 1, 2023
Abstract
Regional
carbon
budget
assessments
attribute
and
track
changes
in
sources
sinks
support
the
development
monitoring
efficacy
of
climate
policies.
We
present
a
comprehensive
assessment
natural
anthropogenic
(C‐CO
2
)
fluxes
for
Australasia
as
whole,
well
Australia
New
Zealand
individually,
period
from
2010
to
2019,
using
two
approaches:
bottom‐up
methods
that
integrate
flux
estimates
land‐surface
models,
data‐driven
inventory
estimates;
top‐down
atmospheric
inversions
based
on
satellite
situ
measurements.
Our
decadal
suggests
Australasia's
net
balance
was
close
neutral
(−0.4
±
77.0
TgC
yr
−1
).
However,
substantial
uncertainties
remain
this
estimate,
primarily
driven
by
large
spread
between
our
regional
terrestrial
biosphere
simulations
predictions
global
ecosystem
models.
Within
Australasia,
source
38.2
75.8
,
CO
sink
−38.6
13.4
.
The
approach
indicates
derived
latest
retrievals
are
consistent
within
range
with
Australia's
budget.
For
Zealand,
best
agreement
found
national
scale
inversion
estimate
measurements,
which
provide
better
constrained
than
inversions.
This
study
marks
an
important
step
toward
more
understanding
both
countries,
facilitating
improvement
accounting
approaches
strategies
reduce
emissions.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
30(1)
Published: Nov. 2, 2023
Abstract
Wildfires
are
increasing
in
frequency,
intensity,
and
extent
globally
due
to
climate
change
they
can
alter
forest
composition,
structure,
function.
The
destruction
subsequent
regrowth
of
young
vegetation
modify
the
ecosystem
evapotranspiration
downstream
water
availability.
However,
response
recovery
on
hydrology
is
not
well
known
with
even
sign
yield
changes
following
fires
being
uncertain
across
globe.
Here,
we
quantify
effects
after
catastrophic
wildfires
runoff
world's
tallest
angiosperm
(
Eucalyptus
regnans
)
Australia.
We
combine
eddy
covariance
measurements
including
pre‐
post‐fire
periods,
mechanistic
ecohydrological
modeling
then
extend
analysis
spatially
multiple
eucalypt‐dominated
forests
south‐eastern
Australia
by
utilizing
remote
sensing.
find
a
fast
which
reaches
exceeds
pre‐fire
values
within
2
years
bushfire,
result
confirmed
data,
sensing,
modeling.
Such
likely
generalizable
tall
eucalypt
as
shown
Once
variability
discounted,
shows
rates
from
recovering
reach
peak
+20%
3
post‐fire.
As
result,
modeled
decreases
substantially.
Contrary
previous
research,
that
increase
largely
caused
aerodynamic
much
shorter
height
leading
higher
surface
temperature,
humidity
gradients
therefore
increased
transpiration.
increases
constrained
energy
limitations.
Our
an
warming
could
occur
many
parts
world
experiencing
disturbances.
Boundary-Layer Meteorology,
Journal Year:
2024,
Volume and Issue:
190(8)
Published: Aug. 1, 2024
Abstract
Zero
plane
displacement
height
(
$$d_0$$
d0
)
and
momentum
roughness
length
$$z_{0m}$$
zm
),
describe
the
aerodynamic
characteristics
of
a
vegetated
surface.
Usually,
are
assumed
to
be
constant
functions
physical
Prior
evidence
collected
from
literature
our
examination
flux
tower
data
show
that
vary
in
time
at
sites
with
tree
shrub
canopies,
but
not
grasslands.
The
conventional
explanations
these
variations
based
on
linear
wind
velocity
friction
velocity,
little
theoretical
basis.
This
study
explains
variation
parameters
by
matching
four
analytical
canopy
models
logarithmic
above-canopy
profile
height.
come
out
as
2
non-dimensional
terms,
absorption
capacity
(parameter)
(measurable)
Péclet
number.
To
test
theories
variation,
we
analysed
profiles
Ozflux
Ameriflux
sites.
None
could
recreate
half-hourly
intervals.
However,
were
able
better
distribution
.
Additionally,
estimates
varied
consistently
phenological
changes
whereas,
fitting
regression
using
speed
did
exhibit
physically
interpretable
variations.
may
offer
predictions
an
accurate
estimation
height,
horizontally
homogeneous
rigid
canopy,
incorporation
sublayer.
Global Change Biology,
Journal Year:
2023,
Volume and Issue:
30(1)
Published: Nov. 14, 2023
Abstract
Climate
change
will
impact
gross
primary
productivity
(GPP),
net
(NPP),
and
carbon
storage
in
wooded
ecosystems.
The
extent
of
be
influenced
by
thermal
acclimation
photosynthesis—the
ability
plants
to
adjust
photosynthetic
rates
response
growth
temperatures—yet
regional
differences
effects
among
ecosystems
is
currently
unknown.
We
examined
the
changing
climate
on
17
Australian
with
without
C3
photosynthesis.
Ecosystems
were
drawn
from
five
ecoregions
(tropical
savanna,
tropical
forest,
Mediterranean
woodlands,
temperate
forests)
that
span
Australia's
climatic
range.
used
CABLE‐POP
land
surface
model
adapted
functions
forced
HadGEM2‐ES
projections
RCP8.5.
For
each
site
ecoregion
we
(a)
GPP,
NPP,
live
tree
storage;
(b)
impacts
photosynthesis
simulated
changes.
Between
end
historical
(1976–2005)
projected
(2070–2099)
periods
annual
uptake
increased
majority
26.1%–63.3%
for
GPP
15%–61.5%
NPP.
Thermal
further
NPP
savannas
27.2%
22.4%
11%
10.1%
forests
positive
concentrated
wet
season
savannas)
warmer
months
forests).
predicted
minimal
forests.
Overall,
strongly
enhanced
increasing
CO
2
concentrations
under
conclude
direct
enhance
(likely
due
enrichment)
benefits
restricted
ecoregions.