The food-water-climate nexus of green infrastructure: Examining ecosystem services trade-offs of peri-urban agriculture
The Science of The Total Environment,
Год журнала:
2024,
Номер
951, С. 175799 - 175799
Опубликована: Авг. 25, 2024
Emission
reduction,
heat
mitigation,
and
improved
access
to
water
food
provision
are
increasingly
critical
challenges
for
urban
areas
in
the
context
of
global
climate
change
adaptation
mitigation.
The
revival
local
agricultural
production
is
often
lauded
as
a
potential
nature-based
solution.
However,
an
expansion
peri-urban
agriculture
(peri-UA)
may
entail
significant
ecosystem
trade-offs.
This
study
explores
impacts
on
food-water-climate
nexus
different
scenarios
semi-arid,
Mediterranean
climate,
addressing
provision,
freshwater
use,
temperature
regulation,
trade-offs
thereof.
We
estimate
irrigation
requirements
based
georeferenced
metabolism
approach
along
with
atmospheric
biosphere
models
examine
four
land-use
Metropolitan
Area
Barcelona.
Our
reveals
that
31
%
(+17.27
km
Язык: Английский
Demands and possibilities for field-scale estimation of agricultural greenhouse gas balances
CATENA,
Год журнала:
2024,
Номер
249, С. 108649 - 108649
Опубликована: Дек. 21, 2024
Язык: Английский
Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring
Computers and Electronics in Agriculture,
Год журнала:
2025,
Номер
233, С. 110136 - 110136
Опубликована: Фев. 28, 2025
Язык: Английский
Advancing winter wheat yield anomaly prediction with high-resolution satellite-based gross primary production
One Earth,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 1, 2024
Язык: Английский
Winter Wheat Yield Anomaly Prediction Using Sentinel-2 Derived Gross Primary Production
Опубликована: Янв. 1, 2024
Predicting
winter
wheat
yield
anomalies
remains
challenging
due
to
the
long
growing
season
of
influenced
by
compounding
climate
and
management
factors.
Here,
we
investigate
use
a
new
Sentinel-2
Gross
Primary
Production
(S2-GPP)
product,
predict
yields
over
France
using
multilinear
regression
(MLR).
The
performance
MLR
S2-GPP
was
compared
naïve
model
considering
Enhanced
Vegetation
Index
(S2-EVI)
as
predictor.
Main
results
showed
strong
correlation
patterns
between
spatially
temporally.
Yield
anomaly
predictions
revealed
that
performed
better
than
S2-EVI
with
satisfactory
obtained
more
one
month
before
harvest.
Including
rainfall
further
predictors
anomalies,
enhanced
estimation
anomalies.
Extreme
losses
in
extreme
weather
conditions
were
significantly
predicted
S2-GPP.
While
considerably
minimizing
required
input
features,
proposed
prediction
seems
promising
for
forecasting.
Язык: Английский
Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery
Biogeosciences,
Год журнала:
2024,
Номер
21(16), С. 3593 - 3616
Опубликована: Авг. 16, 2024
Abstract.
Improving
the
accuracy
of
monitoring
cropland
CO2
exchange
at
heterogeneous
spatial
scales
is
great
importance
for
reducing
and
temporal
uncertainty
in
estimating
terrestrial
carbon
(C)
dynamics.
In
this
study,
an
approach
to
estimate
daily
C
fluxes
developed
tested
by
combining
time
series
field-scale
eddy
covariance
(EC)
flux
data
Sentinel-2
satellite-based
vegetation
indices
(VIs)
after
appropriately
accounting
alignment
between
two
datasets.
The
study
was
carried
out
agricultural
field
(118
ha)
lowlands
northeastern
Germany.
ability
different
VIs
net
ecosystem
(NEE)
gross
primary
productivity
(GPP)
based
on
linear
regression
models
assessed.
Most
showed
high
(>0.9)
statistically
significant
(p<0.001)
correlations
with
GPP
NEE,
although
some
deviated
from
seasonal
pattern
exchange.
By
contrast,
respiration
(Reco)
were
weak
not
significant,
no
attempt
made
Reco
VIs.
Linear
explained
generally
more
than
80
%
70
variability
NEE
GPP,
respectively,
among
individual
performance
varied
depending
component
(NEE
or
GPP)
observation
period.
Root
mean
square
error
(RMSE)
values
ranged
1.35
g
m−2
d−1
using
green
normalized
difference
index
(GNDVI)
5
simple
ratio
(SR)
GPP.
This
equated
underestimated
uptake
only
41
(18
%)
overestimation
854
(73
%).
Differences
measured
estimated
mainly
diversion
VI
signal
during
winter
when
remained
low,
while
indicated
increased
due
relatively
crop
leaf
area.
Overall,
results
exhibited
similar
margins
mechanistic
models.
Thus,
they
suitability
expandability
proposed
satellite-derived
Язык: Английский