Dealing with Uncertainty in Agent‐Based Simulation: Farm‐Level Modeling of Adaptation to Climate Change in Southwest Germany
Dealing with Uncertainty in Agent‐Based Simulation: Farm‐Level Modeling of Adaptation to Climate Change in Southwest Germany
复制标题
处理基于代理的模拟中的不确定性:德国西南部适应气候变化的农场级建模
DOI:
10.1093/ajae/aau076
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Berger
中科院分区:
文献类型:
--
作者:
Troost;Berger
Climate change will most likely confront agricultural producers with natural, economic, and political conditions that have not previously been observed and are largely uncertain. As a consequence, extrapolation from past data reaches its limits, and a process‐based analysis of farmer adaptation is required. Simulation of changes in crop yields using crop growth models is a first step in that direction. However, changes in crop yields are only one pathway through which climate change affects agricultural production. A meaningful process‐based analysis of farmer adaptation requires a whole‐farm analysis at the farm level. We use a highly disaggregated mathematical programming model to analyze farm‐level climate change adaptation for a mountainous area in southwest Germany. Regional‐level results are obtained by simulating each full‐time farm holding in the study area. We address parameter uncertainty and model underdetermination using a cautious calibration approach and a comprehensive uncertainty analysis. We deal with the resulting computational burden using efficient experimental designs and high‐performance computing. We show that in our study area, shifted crop management time slots can have potentially significant effects on agricultural supply, incomes, and various policy objectives promoted under German and European environmental policy schemes. The simulated effects are robust against model uncertainty and underline the importance of a comprehensive assessment of climate change impacts beyond merely looking at crop yield changes. Our simulations demonstrate how farm‐level models can contribute to a process‐based analysis of climate change adaptation if they are embedded into a systematic framework for treating inherent model uncertainty.
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影响因子:
4.1
作者:
Berger, T
通讯作者:
Berger, T
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
J. Nolan;D. Parker;G. V. van Kooten;T. Berger
通讯作者:
T. Berger
DOI:
10.1111/j.1744-7976.2009.01169.x
发表时间:
2009
影响因子:
9
作者:
Tyler Freeman;J. Nolan;R. Schoney
通讯作者:
R. Schoney
DOI:
10.1111/j.1744-7976.2009.01167.x
发表时间:
2009
影响因子:
9
作者:
K. Happe;H. Schnicke;C. Sahrbacher;Konrad Kellermann
通讯作者:
Konrad Kellermann
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
P. Schreinemachers;C. Potchanasin;T. Berger;Sithidech Roygrong
通讯作者:
Sithidech Roygrong