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paper W3183213303 ✕

Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under a bias-corrected GFDL RCP8.5 scenario, rainfed maize yield shocks across U.S. counties are predicted to decrease by 17% in 2040–2060 relative to the 2006–2020 average.

Taxon
maizeZea mayse1
Treatment
bias-corrected GFDL RCP8.5 scenarioe1
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede1
Value
−17%e1
Qualifier
rainfede1
Comparator
average of 2006–2020 annual yield shockse1
Setting
U.S. countiese1

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under a bias-corrected GFDL RCP8.5 scenario, irrigated maize yield shocks across U.S. counties are predicted to decrease by 13% in 2040–2060 relative to the 2006–2020 average.

Taxon
maizeZea mayse1
Treatment
bias-corrected GFDL RCP8.5 scenarioe1
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede1
Value
−13%e1
Qualifier
irrigatede1
Comparator
average of 2006–2020 annual yield shockse1
Setting
U.S. countiese1

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under a bias-corrected GFDL RCP8.5 scenario, rainfed soybean yield shocks across U.S. counties are predicted to decrease by 19% in 2040–2060 relative to the 2006–2020 average.

Taxon
soybeanGlycine maxe1
Treatment
bias-corrected GFDL RCP8.5 scenarioe1
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede1
Value
−19%e1
Qualifier
rainfede1
Comparator
average of 2006–2020 annual yield shockse1
Setting
U.S. countiese1

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under a bias-corrected GFDL RCP8.5 scenario, irrigated soybean yield shocks across U.S. counties are predicted to decrease by 18% in 2040–2060 relative to the 2006–2020 average.

Taxon
soybeanGlycine maxe1
Treatment
bias-corrected GFDL RCP8.5 scenarioe1
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede1
Value
−18%e1
Qualifier
irrigatede1
Comparator
average of 2006–2020 annual yield shockse1
Setting
U.S. countiese1

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under a bias-corrected GFDL RCP8.5 scenario, rainfed winter wheat yield shocks across U.S. counties are predicted to decrease by 4% in 2040–2060 relative to the 2006–2020 average.

Taxon
winter wheatTriticum aestivume1
Treatment
bias-corrected GFDL RCP8.5 scenarioe1
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede1
Value
−4%e1
Qualifier
rainfede1
Comparator
average of 2006–2020 annual yield shockse1
Setting
U.S. countiese1

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Under a bias-corrected GFDL RCP8.5 scenario, irrigated winter wheat yield shocks across U.S. counties are predicted to decrease by 2% in 2040–2060 relative to the 2006–2020 average.

Taxon
winter wheatTriticum aestivume1
Treatment
bias-corrected GFDL RCP8.5 scenarioe1
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede1
Value
−2%e1
Qualifier
irrigatede1
Comparator
average of 2006–2020 annual yield shockse1
Setting
U.S. countiese1

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Predicted yield shocks for rainfed maize in 2070–2090 decrease by 30% under multiple future climate scenarios.

Taxon
maizeZea mayse2
Treatment
multiple future climate scenariose3
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede2
Value
−30%e2
Qualifier
rainfede2

Not reportedComparator

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653
e2

“Predicted changes in the 2070–2090 period are −30% and −29% for rainfed and irrigated maize, −33% for both rainfed and irrigated soybean, and −7% and −5%for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1655–1846
e3

“projections of yield shocks under multiple future climate scenarios”

✓ located verbatim in the source · abstract, characters 1208–1275

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Predicted yield shocks for irrigated maize in 2070–2090 decrease by 29% under multiple future climate scenarios.

Taxon
maizeZea mayse2
Treatment
multiple future climate scenariose3
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede2
Value
−29%e2
Qualifier
irrigatede2

Not reportedComparator

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653
e2

“Predicted changes in the 2070–2090 period are −30% and −29% for rainfed and irrigated maize, −33% for both rainfed and irrigated soybean, and −7% and −5%for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1655–1846
e3

“projections of yield shocks under multiple future climate scenarios”

✓ located verbatim in the source · abstract, characters 1208–1275

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Predicted yield shocks for rainfed soybean in 2070–2090 decrease by 33% under multiple future climate scenarios.

Taxon
soybeanGlycine maxe2
Treatment
multiple future climate scenariose3
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede2
Value
−33%e2
Qualifier
rainfede2

Not reportedComparator

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653
e2

“Predicted changes in the 2070–2090 period are −30% and −29% for rainfed and irrigated maize, −33% for both rainfed and irrigated soybean, and −7% and −5%for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1655–1846
e3

“projections of yield shocks under multiple future climate scenarios”

✓ located verbatim in the source · abstract, characters 1208–1275

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Predicted yield shocks for irrigated soybean in 2070–2090 decrease by 33% under multiple future climate scenarios.

Taxon
soybeanGlycine maxe2
Treatment
multiple future climate scenariose3
Outcome
annual weather-induced yield shockse1
Direction
decreaseinferrede2
Value
−33%e2
Qualifier
irrigatede2

Not reportedComparator

Verbatim

e1

“Under a bias-corrected GFDL RCP8.5 scenario, this approach predicts the average of annual weather-induced yield shocks, relative to the average of 2006–2020 annual yield shocks, across U.S. counties in the 2040–2060 period of −17% and −13% for rainfed and irrigated maize, −19% and −18% for rainfed and irrigated soybean, and −4% and −2% for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1277–1653
e2

“Predicted changes in the 2070–2090 period are −30% and −29% for rainfed and irrigated maize, −33% for both rainfed and irrigated soybean, and −7% and −5%for rainfed and irrigated winter wheat”

✓ located verbatim in the source · abstract, characters 1655–1846
e3

“projections of yield shocks under multiple future climate scenarios”

✓ located verbatim in the source · abstract, characters 1208–1275

Title

Empirical estimation of weather-driven yield shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat

Abigail Snyder; Stephanie Waldhoff; Mary Ollenberger; et al. Environmental Research Letters 2021. doi:10.1088/1748-9326/ac15ce

Other claims from this paper (11)

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