| Records |
| Author |
Popp, A.; Rose, S.K.; Calvin, K.; Van Vuuren, D.P.; Dietrich, J.P.; Wise, M.; Stehfest, E.; Humpenöder, F.; Kyle, P.; Van Vliet, J.; Bauer, N.; Lotze-Campen, H.; Klein, D.; Kriegler, E. |
| Title |
Land-use transition for bioenergy and climate stabilization: model comparison of drivers, impacts and interactions with other land use based mitigation options |
Type |
Journal Article |
| Year |
2014 |
Publication |
Climatic Change |
Abbreviated Journal |
Clim. Change |
| Volume |
123 |
Issue |
3-4 |
Pages |
495-509 |
| Keywords |
bio-energy; miscanthus; emissions; crop |
| Abstract |
In this article, we evaluate and compare results from three integrated assessment models (GCAM, IMAGE, and ReMIND/MAgPIE) regarding the drivers and impacts of bioenergy production on the global land system. The considered model frameworks employ linked energy, economy, climate and land use modules. By the help of these linkages the direct competition of bioenergy with other energy technology options for greenhouse gas (GHG) mitigation, based on economic costs and GHG emissions from bioenergy production, has been taken into account. Our results indicate that dedicated bioenergy crops and biomass residues form a potentially important and cost-effective input into the energy system. At the same time, however, the results differ strongly in terms of deployment rates, feedstock composition and land-use and greenhouse gas implications. The current paper adds to earlier work by specific looking into model differences with respect to the land-use component that could contribute to the noted differences in results, including land cover allocation, land use constraints, energy crop yields, and non-bioenergy land mitigation options modeled. In scenarios without climate change mitigation, bioenergy cropland represents 10-18 % of total cropland by 2100 across the different models, and boosts cropland expansion at the expense of carbon richer ecosystems. Therefore, associated emissions from land-use change and agricultural intensification as a result of bio-energy use range from 14 and 113 Gt CO2-eq cumulatively through 2100. Under climate policy, bioenergy cropland increases to 24-36 % of total cropland by 2100. |
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English |
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0165-0009 |
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CropM |
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no |
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MA @ admin @ |
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4499 |
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| Author |
Pirttioja, N.; et al. |
| Title |
Examining wheat yield sensitivity to temperature and precipitation changes for a large ensemble of crop models using impact response surfaces |
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Conference Article |
| Year |
2014 |
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CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
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MA @ admin @ |
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2723 |
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| Author |
Höglind, M. |
| Title |
Europeisk landbruk i et klima i endring (MACSUR) |
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Conference Article |
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2014 |
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CropM |
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Bioforsk-konferansen 2014, Hamar Norway, 2014-02-05 to 2014-02-06 |
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no |
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MA @ admin @ |
Serial |
2485 |
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| Author |
Angelova, D. |
| Title |
The state-contingent approach to production and choice under uncertainty: usefulness as a basis for economic modeling |
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Report |
| Year |
2014 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
FACCE MACSUR Rep. |
| Volume |
3 |
Issue |
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Pages |
Sp3-8 |
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The state-contingent approach developed by Chambers and Quiggin (2000) constitutes an attractive blend of a theory of production analysis under uncertainty and a theory of decision-making under uncertainty.One of the goals of this contribution is to introduce the reader to the approach by outlining its contents while comparing and contrasting it to related theories. With respect to production analysis: an emphasis is made on the ability of the approach to deliver well defined cost functions corresponding to stochastic production technologies. With respect to decision-making under uncertainty: the comparison with other theories consistent with a rational agent emphasizes the production theoretical basis of the state-contingent approach.It is the author’s belief that appropriately categorizing the state-contingent approach serves the primary goal of this work: to explore its usefulness as a basis for economic modeling. Some challenges regarding an empirical implementation are discussed: challenges in estimating the parameters of a state-contingent technology representation in general, as well as challenges arising from the fact that the approach is constructed around the argument pioneered by Leonard J Savage: that probabilities underlying economic decision-making are inherently subjective.(The financial support of ScienceCampus Halle is gratefully acknowledged.) No Label |
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FACCE MACSUR Reports |
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3 |
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no |
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MA @ admin @ |
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2225 |
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Bojar, W.; Dzieza, G.; Sikora, M.; Spiewak, J.; Wyszkowska, Z.; Januszewski, A.; Zóltowski, M. |
| Title |
Wybrane metody ograniczania dzialania czynników ryzyka w rolnictwie w swietle wspólczesnych wyzwan (Selected methods of limiting of risk factors in agriculture in a view of contemporary challenges) Y ograniczania dzialania czynników ryzyka w rolnictwie |
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Journal Article |
| Year |
2014 |
Publication |
Roczniki naukowe ekonomii rolnictwa i rozwoju obszarów wiejskich |
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101(4) |
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7-18 |
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TradeM |
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no |
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MA @ admin @ |
Serial |
2076 |
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