Paper · 2011 · Global Biogeochemical Cycles

Simulating the effects of climate and agricultural management practices on global crop yield

D. Deryng; W. J. Sacks; C. C. Barford; et al.

7
claims
11
verbatim quotes
384
citations
3
research areas
✓
Open access

Abstract

[1] Climate change is expected to significantly impact global food production, and it is important to understand the potential geographic distribution of yield losses and the means to alleviate them. This study presents a new global crop model, PEGASUS 1.0 (Predicting Ecosystem Goods And Services Using Scenarios) that integrates, in addition to climate, the effect of planting dates and cultivar choices, irrigation, and fertilizer application on crop yield for maize, soybean, and spring wheat. PEGASUS combines carbon dynamics for crops with a surface energy and soil water balance model. It also benefits from the recent development of a suite of global data sets and analyses that serve as model inputs or as calibration data. These include data on crop planting and harvesting dates, crop-specific irrigated areas, a global analysis of yield gaps, and harvested area and yield of major crops. Model results for present-day climate and farm management compare reasonably well with global data. Simulated planting and harvesting dates are within the range of crop calendar observations in more than 75% of the total crop-harvested areas. Correlation of simulated and observed crop yields indicates a weighted coefficient of determination, with the weighting based on crop-harvested area, of 0.81 for maize, 0.66 for soybean, and 0.45 for spring wheat. We found that changes in temperature and precipitation as predicted by global climate models for the 2050s lead to a global yield reduction if planting and harvesting dates remain unchanged. However, adapting planting dates and cultivar choices increases yield in temperate regions and avoids 7–18% of global losses.

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The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 7

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Simulated planting and harvesting dates fell within the range of crop calendar observations in more than 75% of the harvested area.

Taxon
maize, soybean, and spring wheatGlycine maxTriticum aestivumZea mayse0
Outcome
Simulated planting and harvesting datese1
Value
more than 75%e1
Comparator
crop calendar observationse1

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗
Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗
Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“for maize, soybean, and spring wheat”

✓ located verbatim in the source · abstract, characters 460–496 · show in text ↑
e1

“Simulated planting and harvesting dates are within the range of crop calendar observations in more than 75% of the total crop-harvested areas”

✓ located verbatim in the source · abstract, characters 1000–1141 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Maize simulated yields had a weighted coefficient of determination of 0.81 against observed yields.

Taxon
maizeZea mayse2
Outcome
weighted coefficient of determinatione2
Value
0.81e2
Comparator
observed crop yieldse2

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e2

“Correlation of simulated and observed crop yields indicates a weighted coefficient of determination, with the weighting based on crop-harvested area, of 0.81 for maize, 0.66 for soybean, and 0.45 for spring wheat”

✓ located verbatim in the source · abstract, characters 1143–1355 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Soybean simulated yields had a weighted coefficient of determination of 0.66 against observed yields.

Taxon
soybeanGlycine maxe2
Outcome
weighted coefficient of determinatione2
Value
0.66e2
Comparator
observed crop yieldse2

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e2

“Correlation of simulated and observed crop yields indicates a weighted coefficient of determination, with the weighting based on crop-harvested area, of 0.81 for maize, 0.66 for soybean, and 0.45 for spring wheat”

✓ located verbatim in the source · abstract, characters 1143–1355 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Spring wheat simulated yields had a weighted coefficient of determination of 0.45 against observed yields.

Taxon
spring wheatTriticum aestivume2
Outcome
weighted coefficient of determinatione2
Value
0.45e2
Comparator
observed crop yieldse2

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

e2

“Correlation of simulated and observed crop yields indicates a weighted coefficient of determination, with the weighting based on crop-harvested area, of 0.81 for maize, 0.66 for soybean, and 0.45 for spring wheat”

✓ located verbatim in the source · abstract, characters 1143–1355 · show in text ↑
Intervention effectobservedoriginal resultnegativeprojected

Claim · model-written summary

Projected 2050s temperature and precipitation changes lead to a global yield reduction if planting and harvesting dates stay unchanged.

Taxon
maize, soybean, and spring wheatGlycine maxTriticum aestivumZea mayse0
Treatment
changes in temperature and precipitation as predicted by global climate models for the 2050se4
Outcome
global yielde4
Direction
reductione4
Qualifier
if planting and harvesting dates remain unchangede4

Not reportedComparator

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗
Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗
Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“for maize, soybean, and spring wheat”

✓ located verbatim in the source · abstract, characters 460–496 · show in text ↑
e4

“changes in temperature and precipitation as predicted by global climate models for the 2050s lead to a global yield reduction if planting and harvesting dates remain unchanged”

✓ located verbatim in the source · abstract, characters 1371–1546 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Adapting planting dates and cultivar choices increases yield in temperate regions and avoids 7–18% of global losses.

Taxon
maize, soybean, and spring wheatGlycine maxTriticum aestivumZea mayse0
Treatment
adapting planting dates and cultivar choicese5
Outcome
yielde5
Direction
increasese5
Value
7–18%e5
Setting
temperate regionse5

Not reportedComparator

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗
Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗
Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“for maize, soybean, and spring wheat”

✓ located verbatim in the source · abstract, characters 460–496 · show in text ↑
e5

“adapting planting dates and cultivar choices increases yield in temperate regions and avoids 7–18% of global losses”

✓ located verbatim in the source · abstract, characters 1557–1672 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Model results for present-day climate and farm management compare reasonably well with global data.

Taxon
maize, soybean, and spring wheatGlycine maxTriticum aestivumZea mayse0
Outcome
Model resultse3
Qualifier
reasonably welle3
Comparator
global datae3

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗
Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗
Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“for maize, soybean, and spring wheat”

✓ located verbatim in the source · abstract, characters 460–496 · show in text ↑
e3

“Model results for present-day climate and farm management compare reasonably well with global data”

✓ located verbatim in the source · abstract, characters 900–998 · show in text ↑

rainfall · yield · Glycine max (soybean)Results differ

38 papers: 14 positive, 24 negative or no effect

23 papers in the same direction as this paper · 14 in the opposite direction

  1. positive
  2. positive
  3. positive

34 papers more in this group

See all 38 papers →

climate site · yield · Glycine max (soybean)Results differ

73 papers: 36 positive, 37 negative or no effect

36 papers in the same direction as this paper · 36 in the opposite direction

  1. positive
  2. positive
  3. positive

69 papers more in this group

See all 73 papers →

rainfall · yield · Triticum aestivum (wheat)Results differ

81 papers: 32 positive, 49 negative or no effect

48 papers in the same direction as this paper · 32 in the opposite direction

  1. positive
  2. positive
  3. positive

77 papers more in this group

See all 81 papers →

rainfall · yield · Zea mays (maize)Positive and negative results

70 papers: 34 positive, 36 negative or no effect

35 papers in the same direction as this paper · 34 in the opposite direction

  1. positive
  2. positive
  3. positive

66 papers more in this group

See all 70 papers →

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

154 papers: 72 positive, 82 negative or no effect

81 papers in the same direction as this paper · 72 in the opposite direction

  1. positive
  2. positive
  3. positive

150 papers more in this group

See all 154 papers →

climate site · yield · Zea mays (maize)Positive and negative results

180 papers: 102 positive, 78 negative or no effect

77 papers in the same direction as this paper · 102 in the opposite direction

  1. positive
  2. positive
  3. positive

176 papers more in this group

See all 180 papers →

sowing time · yield · Glycine max (soybean)Positive and negative results

207 papers: 115 positive, 92 negative or no effect

114 papers in the same direction as this paper · 89 in the opposite direction · 3 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

203 papers more in this group

See all 207 papers →

sowing time · yield · Zea mays (maize)Positive and negative results

269 papers: 178 positive, 91 negative or no effect

177 papers in the same direction as this paper · 89 in the opposite direction · 2 reporting no difference from an alternative

  1. negative
  2. negative
  3. negative

265 papers more in this group

See all 269 papers →

8 of 9 groups shown: named compounds and organisms first, then groups whose results differ (checked claim by claim), then those with positive and negative results, then the smaller groups.

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.