Paper · 2014 · Theoretical and Applied Climatology

Impacts of drought on grape yields in Western Cape, South Africa

Julio A. Araujo; Babatunde J. Abiodun; Olivier Crespo

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verbatim quotes
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citations
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Open access · other-oa

Abstract

Droughts remain a threat to grape yields in South Africa. Previous studies on the impacts of climate on grape yield in the country have focussed on the impact of rainfall and temperature separately; meanwhile, grape yields are affected by drought, which is a combination of rainfall and temperature influences. The present study investigates the impacts of drought on grape yields in the Western Cape (South Africa) at district and farm scales. The study used a new drought index that is based on simple water balance (Standardized Precipitation Evapotranspiration Index; hereafter, SPEI) to identify drought events and used a correlation analysis to identify the relationship between drought and grape yields. A crop simulation model (Agricultural Production Systems sIMulator, APSIM) was applied at the farm scale to investigate the role of irrigation in mitigating the impacts of drought on grape yield. The model gives a realistic simulation of grape yields. The Western Cape has experienced a series of severe droughts in the past few decades. The severe droughts occurred when a decrease in rainfall occurred simultaneously with an increase in temperature. El Niño Southern Oscillation (ENSO) appears to be an important driver of drought severity in the Western Cape, because most of the severe droughts occurred in El Niño years. At the district scale, the correlation between drought index and grape yield is weak (r≈−0.5), but at the farm scale, it is strong (r≈−0.9). This suggests that many farmers are able to mitigate the impacts of drought on grape yields through irrigation management. At the farm scale, where the impact of drought on grape yields is high, poor yield years coincide with moderate or severe drought periods. The APSIM simulation, which gives a realistic simulation of grape yields at the farm scale, suggests that grape yields become more sensitive to spring and summer droughts in the absence of irrigation. Results of this study may guide decision-making on how to reduce the impacts of drought on food security in South Africa.

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Claims 9

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

APSIM realistically simulated farm-scale grape yields.

Taxon
grapet0
Outcome
simulation of grape yieldse0
Qualifier
realistice0

Not reportedComparatorValue

Verbatim

t0

“grape”

✓ located verbatim in the source · title, characters 22–27 · show in text ↑
e0

“The model gives a realistic simulation of grape yields.”

✓ located verbatim in the source · abstract, characters 907–962 · show in text ↑
Observationobservedoriginal resultnegativemeasured

Claim · model-written summary

Western Cape experienced several severe droughts over recent decades.

Outcome
severe droughtse0
Qualifier
past few decadese0
Setting
Western Capee0

Not reportedTaxon

Verbatim

e0

“The Western Cape has experienced a series of severe droughts in the past few decades.”

✓ located verbatim in the source · abstract, characters 963–1048 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Severe droughts coincided with lower rainfall and higher temperature.

Outcome
severe droughtse0
Qualifier
a decrease in rainfall occurred simultaneously with an increase in temperaturee0

Not reportedTaxonSettingDirection

Verbatim

e0

“The severe droughts occurred when a decrease in rainfall occurred simultaneously with an increase in temperature.”

✓ located verbatim in the source · abstract, characters 1049–1162 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Most severe Western Cape droughts occurred in El Niño years.

Outcome
severe droughtse0
Qualifier
El Niño yearse0
Setting
Western Capee1

Not reportedTaxonDirection

Verbatim

e0

“most of the severe droughts occurred in El Niño years”

✓ located verbatim in the source · abstract, characters 1282–1335 · show in text ↑
e1

“The Western Cape has experienced a series of severe droughts”

✓ located verbatim in the source · abstract, characters 963–1023 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

At district scale, drought index and grape yield were weakly correlated (r≈−0.5).

Taxon
grapet0
Outcome
correlation between drought index and grape yielde0
Direction
weake0
Value
r≈−0.5e0
Setting
district scalee0

Verbatim

t0

“grape”

✓ located verbatim in the source · title, characters 22–27 · show in text ↑
e0

“At the district scale, the correlation between drought index and grape yield is weak (r≈−0.5)”

✓ located verbatim in the source · abstract, characters 1337–1430 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

At farm scale, drought index and grape yield were strongly correlated (r≈−0.9).

Taxon
grapet0
Outcome
correlation between drought index and grape yielde1
Direction
stronge0
Value
r≈−0.9e0
Setting
farm scalee0

Verbatim

t0

“grape”

✓ located verbatim in the source · title, characters 22–27 · show in text ↑
e0

“at the farm scale, it is strong (r≈−0.9)”

✓ located verbatim in the source · abstract, characters 1436–1476 · show in text ↑
e1

“correlation between drought index and grape yield”

✓ located verbatim in the source · abstract, characters 1364–1413 · show in text ↑
Associationobservedoriginal resultnegativemeasured

Claim · model-written summary

Poor farm-scale grape yield years coincided with moderate or severe drought periods.

Taxon
grapet0
Outcome
poor yield yearse0
Direction
poore0
Qualifier
moderate or severe drought periodse0
Setting
farm scalee0

Verbatim

t0

“grape”

✓ located verbatim in the source · title, characters 22–27 · show in text ↑
e0

“At the farm scale, where the impact of drought on grape yields is high, poor yield years coincide with moderate or severe drought periods.”

✓ located verbatim in the source · abstract, characters 1601–1739 · show in text ↑
Intervention effectobservedoriginal resultnegativesimulated

Claim · model-written summary

Simulations indicate grape yields become more sensitive to spring and summer drought without irrigation.

Taxon
grapet0
Treatment
absence of irrigatione0
Outcome
grape yieldse0
Direction
more sensitivee0
Qualifier
spring and summer droughtse0

Not reportedComparator

Verbatim

t0

“grape”

✓ located verbatim in the source · title, characters 22–27 · show in text ↑
e0

“grape yields become more sensitive to spring and summer droughts in the absence of irrigation”

✓ located verbatim in the source · abstract, characters 1846–1939 · show in text ↑
Mechanismauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Authors infer that irrigation management mitigates drought impacts on grape yields.

Taxon
grapet0
Treatment
irrigation managemente0
Outcome
impacts of drought on grape yieldse0

Verbatim

t0

“grape”

✓ located verbatim in the source · title, characters 22–27 · show in text ↑
e0

“many farmers are able to mitigate the impacts of drought on grape yields through irrigation management”

✓ located verbatim in the source · abstract, characters 1497–1599 · show in text ↑

irrigation · yield · VitisResults differ

83 papers: 52 positive, 31 negative or no effect

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