Impact assessment of common bean availability in Brazil under climate change scenarios

2021 ◽  
Vol 191 ◽  
pp. 103174
Author(s):  
Luís A.S. Antolin ◽  
Alexandre B. Heinemann ◽  
Fábio R. Marin
2007 ◽  
Vol 4 (5) ◽  
pp. 2875-2899
Author(s):  
P. Droogers ◽  
A. van Loon ◽  
W. Immerzeel

Abstract. Numerical simulation models are frequently applied to assess the impact of climate change on hydrology and agriculture. A common hypothesis is that unavoidable model errors are reflected in the reference situation as well as in the climate change situation so that by comparing reference to scenario model errors will level out. For a polder in The Netherlands an innovative procedure has been introduced, referred to as the Model-Scenario-Ratio (MSR), to express model inaccuracy on climate change impact assessment. MSR values close to 1, indicating that impact assessment is mainly a function of the scenario itself rather than of the quality of the model, were found for most indicators evaluated. More extreme climate change scenarios and indicators based on threshold values showed lower MSR values, indicating that model accuracy is an important component of the climate change impact assessment. It was concluded that the MSR approach can be applied easily and will lead to more robust impact assessment analyses.


2015 ◽  
Vol 29 (7) ◽  
pp. 2377-2391 ◽  
Author(s):  
Sandra Mourato ◽  
Madalena Moreira ◽  
João Corte-Real

1999 ◽  
Vol 12 ◽  
pp. 223-230 ◽  
Author(s):  
A Centella ◽  
T Gutiérrez ◽  
M Limia ◽  
RR Jaspe

2008 ◽  
Vol 12 (2) ◽  
pp. 669-678 ◽  
Author(s):  
P. Droogers ◽  
A. Van Loon ◽  
W. W. Immerzeel

Abstract. Numerical simulation models are frequently applied to assess the impact of climate change on hydrology and agriculture. A common hypothesis is that unavoidable model errors are reflected in the reference situation as well as in the climate change situation so that by comparing reference to scenario model errors will level out. For a polder in The Netherlands an innovative procedure has been introduced, referred to as the Model-Scenario-Ratio (MSR), to express model inaccuracy on climate change impact assessment studies based on simulation models comparing a reference situation to a climate change situation. The SWAP (Soil Water Atmosphere Plant) model was used for the case study and the reference situation was compared to two climate change scenarios. MSR values close to 1, indicating that impact assessment is mainly a function of the scenario itself rather than of the quality of the model, were found for most indicators evaluated. A climate change scenario with enhanced drought conditions and indicators based on threshold values showed lower MSR values, indicating that model accuracy is an important component of the climate change impact assessment. It was concluded that the MSR approach can be applied easily and will lead to more robust impact assessment analyses.


2019 ◽  
Vol 11 (20) ◽  
pp. 5712 ◽  
Author(s):  
Shuhui Yang ◽  
Xuefeng Cui

Climate change is having an increasing effect on human society and ecosystems. The United Nations has established 17 sustainable development goals, one of which is to cope with climate change. How to scientifically explore uncertainties and hazards brought about by climate change in the future is crucial. The new Intergovernmental Panel on Climate Change (IPCC) has proposed shared socioeconomic pathways (SSPs) to project climate change scenarios. SSP has been analyzed globally, but how regions and nations respond to the global climate change and mitigation policies is seldom explored, which do not meet the demand for regional environmental assessment and social sustainable development. Therefore, in this paper, we reviewed and discussed how SSPs were applied to regions, and this can be summarized into four main categories: (1) integrated assessment model (IAM) scenario analysis, (2) SSPs-RCPs-SPAs framework scenario analysis, (3) downscaling global impact assessment model, and (4) regional impact assessment model simulation. The study provides alternative ways to project land use, water resource, energy, and ecosystem service in regions, which can carry out related policies and actions to address climate change in advance and help achieve sustainable development.


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