Abstract.
High-accuracy
atmospheric
(carbon
dioxide)
CO2
concentration
data
are
critical
in
understanding
the
global
carbon
cycle,
but
there
is
still
a
lack
of
high-resolution
product
with
long-term
and
seamless
coverage.
In
this
study,
continuous
8-day
XCO2
(column-averaged
dry
air
mole
fraction)
(GCXCO2)
was
reconstructed
at
spatial
resolution
0.05°
from
2000
to
2020,
based
on
OCO-2
satellite
data.
An
ensemble
machine
learning
stacking
regression
model,
which
combines
light
gradient
boosting
(LGBM),
extreme
(XGB),
extremely
randomized
trees
(ETR),
(GBR),
random
forest
(RF),
utilized
model
relationships
between
auxiliary
satellite,
simulation
data,
meteorological
A
dynamic
normalization
strategy
developed
handle
great
temporal
variation
issue
ensure
expansion
prediction
model.
Multiple
validation
methods
were
applied
comprehensively
evaluate
generalization
ability
product.
The
10-fold
cross-validation
shows
an
overall
satisfactory
result
scale,
R2
=
0.974
root-mean-square
error
(RMSE)
0.551
ppm
(parts
per
million).
Further
extension
experiments
also
proved
that
dependable
results
could
be
obtained
regions
time
periods
without
valid
observations
(R2
0.958
0.886,
respectively).
Compared
Total
Carbon
Column
Observing
Network
(TCCON)
ground
station
observations,
GCXCO2
performs
better
than
demonstrating
accuracy
higher
resolution.
Based
product,
upward
annual
trend
approximately
2.09
ppm/year
can
found
for
significant
differences
Northern
Southern
hemispheres
different
seasons.
This
may
well
first
remote
sensing-based
high-precision
dataset,
will
help
advance
climate
change
balance.
dataset
freely
https://doi.org/10.5281/zenodo.10083102
(Guan
Sun,
2023).
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
920, P. 171047 - 171047
Published: Feb. 17, 2024
Climate
change
is
one
of
the
most
significant
challenges
worldwide.
There
strong
evidence
from
research
that
climate
will
impact
several
food
chain-related
elements
such
as
agricultural
output,
incomes,
prices,
access,
quality,
and
safety.
This
scoping
review
seeks
to
outline
state
knowledge
supply
chain's
vulnerability
identify
existing
literature
may
guide
future
research,
policy,
decision-making
aimed
at
enhancing
resilience
chain.
A
total
1526
publications
were
identified
using
SCOPUS
database,
which
67
selected
for
present
study.
The
assessment
methods
well
adaptation
measures
have
been
employed
alleviate
in
chain
discussed.
results
revealed
a
growing
number
providing
weakening
due
extreme
weather
events.
Our
demonstrated
need
broaden
into
entire
various
forms
climatic
variability
because
studies
concentrated
on
relationships
between
fluctuations
(especially
rainfall,
temperatures,
drought)
production.
lack
about
effects
underlying
socio-economic
consequences
could
result
underperformance
or
failure
International Journal of Energy Economics and Policy,
Journal Year:
2024,
Volume and Issue:
14(3), P. 119 - 126
Published: May 8, 2024
The
need
to
seek
sustainable
solutions
end
hunger
in
all
its
forms
by
2030
motivated
the
implementation
of
Sustainable
Development
Goals.
Against
this
backdrop,
study
seeks
fill
existing
gap
unraveling
underexplored
dimension
escalating
electricity
consumption
and
potential
effects
on
broader
spectrum
Malaysia's
food
productivity,
with
a
view
assessing
capacity
or
otherwise
Malaysia
achieving
SDG
2
(food
nutrition
security)
2030.
To
achieve
stated
objectives,
data
from
World
Indicators
(WDI)
Bank
for
period
1990
2022
were
collected
Malaysia.
collated
analyzed
within
framework
Fully
Modified
Ordinary
Least
Squares
(FMOLS)
method.
negative
coefficient
suggests
that
an
increase
arable
land
is
associated
decrease
production.
Electricity
did
not
support
expansion
production
country.
Employment
agriculture,
based
results,
concludes
that;
In
same
vein,
agriculture
drive
changes
Therefore,
it
could
be
submitted
only
may
ensure
recommends
policymakers
other
concerned
stakeholders
should
emphasize
importance
managing
utilizing
effectively
order
country
experience
Similarly,
given
priority
when
distributing
both
domestic
industrial
consumptions
If
these
policies
are
well
implemented
Malaysia,
achievement
Goal
2-
security
will
tremendously
facilitated
before
Agronomy,
Journal Year:
2024,
Volume and Issue:
14(11), P. 2617 - 2617
Published: Nov. 6, 2024
As
climate
change
intensifies
and
countries
actively
pursue
carbon
peaking
neutrality
targets,
agriculture
has
emerged
as
a
significant
source
of
emissions.
A
comprehensive
analysis
global
agricultural
emission
research
can
enhance
the
environment
achieve
mutually
beneficial
outcome
for
environmental
protection
economic
development.
Despite
evolution
domains
methodologies,
context
remains
closely
connected
to
current
state
discipline.
Drawing
on
Web
Science
core
collection,
this
paper
develops
knowledge
network
framework,
examines
status
hotspots
emissions,
forecasts
future
development
trends,
analyzes
findings
using
CiteSpace
visualization
software.
The
indicate
that
number
papers
emissions
been
increasing
annually,
with
minor
fluctuations;
time
series
sustainable
have
focal
points,
relevant
institutions
are
collaborating
increasingly
closely.
However,
cooperation
among
scholars
requires
further
enhancement.
Countries
such
China,
United
States,
Germany
primary
nations
publication.
hotspot
reveals
high
frequency
keywords
greenhouse
gas
change,
indicating
matured
emphasis
shifted
from
accounting
management.
This
domain
framework
assist
readers
in
understanding
patterns
provide
resources
research.
Follow-up
studies
should
both
comprehensiveness
breadth,
promote
interdisciplinary
cooperation,
scientific
foundation
policymakers,
outline
directions.
Journal of Taibah University for Science,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: Feb. 15, 2024
Climate
change
has
emerged
as
a
pressing
concern
affecting
nations
worldwide,
particularly
within
the
African
continent,
including
Benin.
Given
that
maize
stands
staple
cereal
in
Benin,
this
research
to
assess
impact
and
predict
effects
of
climate
on
production
by
year
2050.
To
attain
objective,
an
assortment
data
encompassing
climatic
conditions,
demographic
factors,
fertilizer
application
levels,
emissions
environmental
pollutants
been
collected
analyzed.
The
analysis
based
ARDL
ARIMA
models
unveiled
those
variables
such
CO2
CH4
through
food
waste,
peak
temperatures,
precipitation
patterns,
rural
population
density
exert
considerable
immediate
influence
over
volumes.
predictive
portend
upswing
national
volume,
albeit
accompanied
probable
decline
per
capita
availability.
Policies
aimed
at
controlling
activities
generate
high
levels
air
should
be
formulated
increase
capacities.
Frontiers in Climate,
Journal Year:
2024,
Volume and Issue:
5
Published: April 4, 2024
Climate
change
significantly
impacts
small-scale
agriculture,
with
limited
adaptation
capabilities
due
to
lack
of
access
advanced
science
and
technology.
Traditional
methods
are
ideal,
but
modern
adaptations
require
significant
financial
investment,
affecting
the
smallholder
under-resourced
agricultural
sector's
economic
activities.
The
study
analyzed
climate
drivers
among
vegetable
farmers,
using
a
representative
sample
244
farmers
from
four
villages
through
face-to-face
interviews
semi-structured
questionnaires.
Using
Logistic
regression
model,
results
showed
resources
(extension
services),
institutional
(association
membership)
societal
influence
(farm
produce
theft,
animal
trespassing
in
farming
plots)
be
associated
use
measures
area.
recommends
expanding
extension
services,
strengthening
community
policing,
creating
grazing
guidelines,
training
on
causes,
social
cohesion,
mitigation
strategies
address
farm
theft
trespassing.
contributes
new
knowledge
discourse
by
providing
empirical
evidence
pointing
out
need
consider
critical
non-climate
factors
for
when
making
interventions
sector.