The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Projecting future crop productivity for global economic modeling
Open accessAbstract
Assessments of climate change impacts on agricultural markets and land-use patterns rely on quantification of climate change impacts on the spatial patterns of land productivity. We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models. Aggregation in space and time leads to information losses that can determine climate change impacts on agricultural markets and land-use patterns because often aggregation is across steep gradients from low to high impacts or from increases to decreases. The four climate change impact scenarios supplied here were designed to represent the most significant impacts (high emission scenario only, assumed ineffectiveness of carbon dioxide fertilization on agricultural yields, no adjustments in management) but are consistent with the assumption that changes in agricultural practices are covered in the economic models. Globally, production of individual crops decrease by 10–38% under these climate change scenarios, with large uncertainties in spatial patterns that are determined by both the uncertainty in climate projections and the choice of impact model. This uncertainty in climate impact on crop productivity needs to be considered by economic assessments of climate change.
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The DSSAT cropping system model
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Elevated CO2 effects on plant carbon, nitrogen, and water relations: six important lessons from FACE
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Food Security and Food Production Systems
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Kriegler, E., Bauer, N., Popp, A., Humpenöder, F., Leimbach, M., Strefler, J., Baumstark, L., Bodirsky, B. L., Hilaire, J., Klein, D., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.015 · Cited by 735
Self-citationThe Challenge of Feeding the World
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Metadata
- Authors
- Müller, C., & Robertson, R. D.
- Venue
- Agricultural Economics
- Publisher
- Wiley
- Published
- 2013-12-10
- Volume
- 45
- Issue
- 1
- Pages
- 37-50
- ISSN
- 0169-5150 (ISSN-L)
- OpenAlex
- W2155861221
- Cited by
- 224
- References
- 8
- FWCI
- 19.26
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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