| 1. |
- Fronzek, Stefan, et al.
(författare)
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Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change
- 2018
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Ingår i: Agricultural Systems. - : Elsevier BV. - 0308-521X. ; 159, s. 209-224
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Tidskriftsartikel (refereegranskat)abstract
- Crop growth simulation models can differ greatly in their treatment of key processes and hence in their response to environmental conditions. Here, we used an ensemble of 26 process-based wheat models applied at sites across a European transect to compare their sensitivity to changes in temperature (-2 to +9°C) and precipitation (-50 to +50%). Model results were analysed by plotting them as impact response surfaces (IRSs), classifying the IRS patterns of individual model simulations, describing these classes and analysing factors that may explain the major differences in model responses.The model ensemble was used to simulate yields of winter and spring wheat at four sites in Finland, Germany and Spain. Results were plotted as IRSs that show changes in yields relative to the baseline with respect to temperature and precipitation. IRSs of 30-year means and selected extreme years were classified using two approaches describing their pattern.The expert diagnostic approach (EDA) combines two aspects of IRS patterns: location of the maximum yield (nine classes) and strength of the yield response with respect to climate (four classes), resulting in a total of 36 combined classes defined using criteria pre-specified by experts. The statistical diagnostic approach (SDA) groups IRSs by comparing their pattern and magnitude, without attempting to interpret these features. It applies a hierarchical clustering method, grouping response patterns using a distance metric that combines the spatial correlation and Euclidian distance between IRS pairs. The two approaches were used to investigate whether different patterns of yield response could be related to different properties of the crop models, specifically their genealogy, calibration and process description.Although no single model property across a large model ensemble was found to explain the integrated yield response to temperature and precipitation perturbations, the application of the EDA and SDA approaches revealed their capability to distinguish: (i) stronger yield responses to precipitation for winter wheat than spring wheat; (ii) differing strengths of response to climate changes for years with anomalous weather conditions compared to period-average conditions; (iii) the influence of site conditions on yield patterns; (iv) similarities in IRS patterns among models with related genealogy; (v) similarities in IRS patterns for models with simpler process descriptions of root growth and water uptake compared to those with more complex descriptions; and (vi) a closer correspondence of IRS patterns in models using partitioning schemes to represent yield formation than in those using a harvest index.Such results can inform future crop modelling studies that seek to exploit the diversity of multi-model ensembles, by distinguishing ensemble members that span a wide range of responses as well as those that display implausible behaviour or strong mutual similarities.
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| 2. |
- Guarin, Jose Rafael, et al.
(författare)
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Impacts of tropospheric ozone and climate change on Mexico wheat production
- 2019
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Ingår i: Climatic Change. - : Springer Science and Business Media LLC. - 1573-1480 .- 0165-0009. ; 155:2, s. 157-174
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Tidskriftsartikel (refereegranskat)abstract
- Wheat is an important staple crop sensitive to negative effects from elevated tropospheric ozone (O 3 ) concentrations, but the impacts of future O 3 concentrations on wheat production in Mexico are unknown. To determine these impacts, the O 3 -modified DSSAT-NWheat crop model was used to simulate wheat production in Mexico using a baseline scenario with pre-industrial O 3 concentrations from 1980 to 2010 and five Global Climate Models (GCMs) under the Representative Concentration Pathway (RCP) 8.5 scenario from 2041 to 2070 paired with future O 3 concentrations from the European Monitoring and Evaluation Programme (EMEP) Meteorological Synthesizing Centre–West (MSC-W) model. Thirty-two representative major wheat-producing locations in Mexico were simulated assuming both irrigated and rainfed conditions for two O 3 sensitivity cultivar classifications. The simulations showed large variability (after averaging over 30 years) in yield loss, ranging from 7 to 26% because of O 3 impact, depending on the location, irrigation, and climate change emissions scenario. After upscaling and aggregating the simulations to the country scale based on observed irrigated and rainfed production, national wheat production for Mexico is expected to decline by 12% under the future RCP 8.5 climate change scenario with additional losses of 7 to 18% because of O 3 impact, depending on the cultivar O 3 sensitivity. This yield loss caused by O 3 is comparable with, or even larger than, the impact from projected future climatic change in temperature, rainfall, and atmospheric CO 2 concentration. Therefore, O 3 impacts should be considered in future agricultural impact assessments.
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| 3. |
- Zabel, Florian, et al.
(författare)
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Large potential for crop production adaptation depends on available future varieties
- 2021
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Ingår i: Global Change Biology. - : Wiley. - 1354-1013 .- 1365-2486. ; 27:16, s. 3870-3882
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Tidskriftsartikel (refereegranskat)abstract
- Climate change affects global agricultural production and threatens food security. Faster phenological development of crops due to climate warming is one of the main drivers for potential future yield reductions. To counter the effect of faster maturity, adapted varieties would require more heat units to regain the previous growing period length. In this study, we investigate the effects of variety adaptation on global caloric production under four different future climate change scenarios for maize, rice, soybean, and wheat. Thereby, we empirically identify areas that could require new varieties and areas where variety adaptation could be achieved by shifting existing varieties into new regions. The study uses an ensemble of seven global gridded crop models and five CMIP6 climate models. We found that 39% (SSP5-8.5) of global cropland could require new crop varieties to avoid yield loss from climate change by the end of the century. At low levels of warming (SSP1-2.6), 85% of currently cultivated land can draw from existing varieties to shift within an agro-ecological zone for adaptation. The assumptions on available varieties for adaptation have major impacts on the effectiveness of variety adaptation, which could more than half in SSP5-8.5. The results highlight that region-specific breeding efforts are required to allow for a successful adaptation to climate change.
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