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Automated Author Profile

E Schmid

Current S-Index

2.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

8

Total datasets for this author

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Crop yield and ruminant feed efficiency assumptions in the different scenarios

Table 1. Crop yield and ruminant feed efficiency assumptions in the different scenarios. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011751January 2013

Management assumptions for the different productivity pathways

Table 2. Management assumptions for the different productivity pathways. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011752January 2013

Sensitivity analysis on the difference between the CONV and TREND scenarios for GHG emissions and consumption at world level by 2050

Table 4. Sensitivity analysis on the difference between the CONV and TREND scenarios for GHG emissions and consumption at world level by 2050. Abbreviations: HI ='High-Input'; SI ='Sust-Intens'; FT ='Free-Tech'; LUC = land use change. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011754January 2013

GHG emission accounts in the GLOBIOM model for agriculture and land use change

Table 3. GHG emission accounts in the GLOBIOM model for agriculture and land use change. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011753January 2013

Crop yield and ruminant feed efficiency assumptions in the different scenarios

Table 1. Crop yield and ruminant feed efficiency assumptions in the different scenarios. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011751.v1January 2013

Management assumptions for the different productivity pathways

Table 2. Management assumptions for the different productivity pathways. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011752.v1January 2013

GHG emission accounts in the GLOBIOM model for agriculture and land use change

Table 3. GHG emission accounts in the GLOBIOM model for agriculture and land use change. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011753.v1January 2013

Sensitivity analysis on the difference between the CONV and TREND scenarios for GHG emissions and consumption at world level by 2050

Table 4. Sensitivity analysis on the difference between the CONV and TREND scenarios for GHG emissions and consumption at world level by 2050. Abbreviations: HI ='High-Input'; SI ='Sust-Intens'; FT ='Free-Tech'; LUC = land use change. Abstract In this letter, we investigate the effects of crop yield and livestock feed efficiency scenarios on greenhouse gas (GHG) emissions from agriculture and land use change in developing countries. We analyze mitigation associated with different productivity pathways using the global partial equilibrium model GLOBIOM. Our results confirm that yield increase could mitigate some agriculture-related emissions growth over the next decades. Closing yield gaps by 50% for crops and 25% for livestock by 2050 would decrease agriculture and land use change emissions by 8% overall, and by 12% per calorie produced. However, the outcome is sensitive to the technological path and which factor benefits from productivity gains: sustainable land intensification would increase GHG savings by one-third when compared with a fertilizer intensive pathway. Reaching higher yield through total factor productivity gains would be more efficient on the food supply side but halve emissions savings due to a strong rebound effect on the demand side. Improvement in the crop or livestock sector would have different implications: crop yield increase would bring the largest food provision benefits, whereas livestock productivity gains would allow the greatest reductions in GHG emission. Combining productivity increases in the two sectors appears to be the most efficient way to exploit mitigation and food security co-benefits.

Authors

  • H Valin ;
  • P Havlík ;
  • A Mosnier ;
  • M Herrero ;
  • E Schmid ;
  • M Obersteiner
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1011754.v1January 2013