| Records |
Author  |
Havlík, P.E.S., S. Fuss, D. Leclere, M. Obersteiner, A. Mosnier, H. Valin, N. Khabarov |
| Title |
Linking bio-physical, bottom-up and top-do wn economic models to analyze climate change impacts and adaptation on Austrian agriculture |
Type |
Conference Article |
| Year |
2013 |
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TradeM |
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MACSUR TradeM workshop: Exploring new ideas for trade and agriculture model integration for assessing the impacts of climate change on food security, The Natural Resource and Environmental Research Center (NRERC), University of Haifa, Israel, 2013-03-03 t |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2468 |
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| Author |
Heinemann, A.B.; Barrios-Perez, C.; Ramirez-Villegas, J.; Arango-Londoño, D.; Bonilla-Findji, O.; Medeiros, J.C.; Jarvis, A. |
| Title |
Variation and impact of drought-stress patterns across upland rice target population of environments in Brazil |
Type |
Journal Article |
| Year |
2015 |
Publication |
Journal of Experimental Botany |
Abbreviated Journal |
J. Experim. Bot. |
| Volume |
66 |
Issue |
12 |
Pages |
3625-3638 |
| Keywords |
Brazil; Climate; Computer Simulation; Crops, Agricultural/physiology; *Droughts; *Environment; Geography; Oryza/*physiology; Plant Transpiration; *Stress, Physiological; Water; Breeding; Oryza sativa; environment classification; modelling; water deficit. |
| Abstract |
The upland rice (UR) cropped area in Brazil has decreased in the last decade. Importantly, a portion of this decrease can be attributed to the current UR breeding programme strategy, according to which direct grain yield selection is targeted primarily to the most favourable areas. New strategies for more-efficient crop breeding under non-optimal conditions are needed for Brazil’s UR regions. Such strategies should include a classification of spatio-temporal yield variations in environmental groups, as well as a determination of prevalent drought types and their characteristics (duration, intensity, phenological timing, and physiological effects) within those environmental groups. This study used a process-based crop model to support the Brazilian UR breeding programme in their efforts to adopt a new strategy that accounts for the varying range of environments where UR is currently cultivated. Crop simulations based on a commonly grown cultivar (BRS Primavera) and statistical analyses of simulated yield suggested that the target population of environments can be divided into three groups of environments: a highly favorable environment (HFE, 19% of area), a favorable environment (FE, 44%), and least favourable environment (LFE, 37%). Stress-free conditions dominated the HFE group (69% likelihood) and reproductive stress dominated the LFE group (68% likelihood), whereas reproductive and terminal drought stress were found to be almost equally likely to occur in the FE group. For the best and worst environments, we propose specific adaptation focused on the representative stress, while for the FE, wide adaptation to drought is suggested. ‘Weighted selection’ is also a possible strategy for the FE and LFE environment groups. |
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English |
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0022-0957 1460-2431 |
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CropM |
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no |
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MA @ admin @ |
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4560 |
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Heinke, J.; Ostberg, S.; Schaphoff, S.; Frieler, K.; Müller, C.; Gerten, D.; Meinshausen, M.; Lucht, W. |
| Title |
A new climate dataset for systematic assessments of climate change impacts as a function of global warming |
Type |
Journal Article |
| Year |
2013 |
Publication |
Geoscientific Model Development |
Abbreviated Journal |
Geosci. Model Dev. |
| Volume |
6 |
Issue |
5 |
Pages |
1689-1703 |
| Keywords |
dangerous anthropogenic interference; vegetation model; carbon-cycle; emissions; targets |
| Abstract |
In the ongoing political debate on climate change, global mean temperature change (Delta T-glob) has become the yardstick by which mitigation costs, impacts from unavoided climate change, and adaptation requirements are discussed. For a scientifically informed discourse along these lines, systematic assessments of climate change impacts as a function of Delta T-glob are required. The current availability of climate change scenarios constrains this type of assessment to a narrow range of temperature change and/or a reduced ensemble of climate models. Here, a newly composed dataset of climate change scenarios is presented that addresses the specific requirements for global assessments of climate change impacts as a function of Delta T-glob. A pattern-scaling approach is applied to extract generalised patterns of spatially explicit change in temperature, precipitation and cloudiness from 19 Atmosphere-Ocean General Circulation Models (AOGCMs). The patterns are combined with scenarios of global mean temperature increase obtained from the reduced-complexity climate model MAGICC6 to create climate scenarios covering warming levels from 1.5 to 5 degrees above pre-industrial levels around the year 2100. The patterns are shown to sufficiently maintain the original AOGCMs’ climate change properties, even though they, necessarily, utilise a simplified relationships between Delta T-glob and changes in local climate properties. The dataset (made available online upon final publication of this paper) facilitates systematic analyses of climate change impacts as it covers a wider and finer-spaced range of climate change scenarios than the original AOGCM simulations. |
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1991-9603 |
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CropM |
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no |
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MA @ admin @ |
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4490 |
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| Author |
Heinschink et al. |
| Title |
Index-based costs of livestock production (INCAP.l) in Austria – the suckler cow and beef calf production activity |
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Report |
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2016 |
Publication |
FACCE MACSUR Reports |
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8 |
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Pages |
SP8-1 |
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| Abstract |
Conference presentation PDF |
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LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change |
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no |
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MA @ admin @ |
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4846 |
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| Author |
Heinschink, K.; Lembacher, F.; Sinabell, F.; Trible, C. |
| Title |
Crop production costs in Austria: Comparison of simulated results and farm observations |
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Conference Article |
| Year |
2016 |
Publication |
Jahrbuch der ÖGA |
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26 |
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33-34 |
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26. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie, 2016-09-15 to 2016-09-16, Vienna, Austria |
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MA @ admin @ |
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5025 |
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