Paper · 1996 · Climate Research

Comparison of wheat simulation models under climate change. II. Application of climate change scenarios

MA Semenov; J Wolf; LG Evans; et al.

8
claims
19
verbatim quotes
65
citations
2
research areas
✓
Open access

Abstract

A comparison of the performance of 5 wheat models (AFRCWHEAT2, CERES, NWHEAT, SIRIUS and SOILN) was carried out for 2 sites in Europe: Rothamsted. UK, and Seville, Spain. The aims of this study were (1) to compare predictions of wheat models for climate change scenarios, and (2) to investigate the effects of changes in climatic variability in climate change scenarios on model predictions. Simulations were run for climate change scenarios derived from a number of 2 X CO2 equilibrium and transient GCM (global circulation model) experiments. For most climate change scenarios the model results were broadly simildr. Where results differed, much of the difference could be explained by model sensitivity to climate and differences in initial conditions. Transient scenarios without changes in climatic variability usually resulted in large yield increases for Rothamsted and in nil to large yield increases for Seville. Incorporation of changed climatic variability in the transient scenario had a more profound effect on grain yield and resulted in a substantial decrease in mean yield with a strong Increase in yield variation at Seville. This was associated with the changes in the duration of dry spells and a redistribution of precipitation over the vegetation penod The results show that future studies of the effect of climate change on crop yields must cons~der changes in climatic variability as well as changes in mean climate.

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Claims 8

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

The five wheat simulation models gave broadly similar results for most climate change scenarios.

Outcome
model resultse1
Qualifier
For most climate change scenariose1
Comparator
5 wheat models (AFRCWHEAT2, CERES, NWHEAT, SIRIUS and SOILN)e0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e0

“5 wheat models (AFRCWHEAT2, CERES, NWHEAT, SIRIUS and SOILN)”

✓ located verbatim in the source · abstract, characters 35–95 · show in text ↑
e1

“For most climate change scenarios the model results were broadly simildr”

✓ located verbatim in the source · abstract, characters 545–617 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Transient climate change scenarios without changes in climatic variability usually increased wheat yield at Rothamsted.

Treatment
Transient scenarios without changes in climatic variabilitye2
Outcome
yielde2
Direction
increasese2
Qualifier
largee2
Setting
Rothamstede2

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e2

“Transient scenarios without changes in climatic variability usually resulted in large yield increases for Rothamsted and in nil to large yield increases for Seville”

✓ located verbatim in the source · abstract, characters 756–920 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Transient climate change scenarios without changes in climatic variability gave nil to large wheat yield increases at Seville.

Treatment
Transient scenarios without changes in climatic variabilitye2
Outcome
yielde2
Direction
increasese2
Qualifier
nil to largee2
Setting
Sevillee2

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e2

“Transient scenarios without changes in climatic variability usually resulted in large yield increases for Rothamsted and in nil to large yield increases for Seville”

✓ located verbatim in the source · abstract, characters 756–920 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Incorporating changed climatic variability into the transient scenario substantially decreased mean wheat yield.

Treatment
Incorporation of changed climatic variability in the transient scenarioe3
Outcome
mean yielde3
Direction
substantial decreasee3

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e3

“Incorporation of changed climatic variability in the transient scenario had a more profound effect on grain yield and resulted in a substantial decrease in mean yield with a strong Increase in yield variation at Seville”

✓ located verbatim in the source · abstract, characters 922–1141 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Incorporating changed climatic variability into the transient scenario strongly increased wheat yield variation at Seville.

Treatment
Incorporation of changed climatic variability in the transient scenarioe3
Outcome
yield variatione3
Direction
Increasee3
Qualifier
stronge3
Setting
Sevillee3

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e3

“Incorporation of changed climatic variability in the transient scenario had a more profound effect on grain yield and resulted in a substantial decrease in mean yield with a strong Increase in yield variation at Seville”

✓ located verbatim in the source · abstract, characters 922–1141 · show in text ↑
Associationobservedoriginal resultsimulated

Claim · model-written summary

The increase in wheat yield variation at Seville is associated with changes in the duration of dry spells.

Treatment
changes in the duration of dry spellse4
Outcome
yield variatione3

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e3

“Incorporation of changed climatic variability in the transient scenario had a more profound effect on grain yield and resulted in a substantial decrease in mean yield with a strong Increase in yield variation at Seville”

✓ located verbatim in the source · abstract, characters 922–1141 · show in text ↑
e4

“This was associated with the changes in the duration of dry spells and a redistribution of precipitation over the vegetation penod”

✓ located verbatim in the source · abstract, characters 1143–1273 · show in text ↑
Mechanismauthor interpretationoriginal resultsimulated

Claim · model-written summary

Much of the difference between wheat models could be explained by model sensitivity to climate and differences in initial conditions.

Outcome
differencee5
Qualifier
model sensitivity to climate and differences in initial conditionse5

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e5

“Where results differed, much of the difference could be explained by model sensitivity to climate and differences in initial conditions”

✓ located verbatim in the source · abstract, characters 619–754 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Future studies of climate change effects on crop yields must consider changes in climatic variability as well as changes in mean climate.

Outcome
changes in climatic variabilitye6
Qualifier
future studies of the effect of climate change on crop yieldse7

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“wheat simulation models”

✓ located verbatim in the source · title, characters 14–37 · show in text ↑
e6

“changes in climatic variability as well as changes in mean climate”

✓ located verbatim in the source · abstract, characters 1372–1438 · show in text ↑
e7

“future studies of the effect of climate change on crop yields”

✓ located verbatim in the source · abstract, characters 1296–1357 · show in text ↑

climate site · yield · Triticum aestivum (wheat)Positive and negative results

154 papers: 72 positive, 82 negative or no effect

71 papers in the same direction as this paper · 79 in the opposite direction · 3 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

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Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.