Methodologies for simulating impacts of climate change on crop production

TLDR: In this paper, the authors reviewed 221 peer-reviewed papers that used crop simulation models to examine diverse aspects of how climate change might affect agricultural systems, focusing on wheat, maize, soybean and rice.

About: This article is published in Field Crops Research.The article was published on 2011-12-20 and is currently open access. It has received 500 citations till now. The article focuses on the topics: Effects of global warming & Crop simulation model.

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Fig. 3. Numberofpapers classifiedbasedbywhetheragivenecophysiologicalmodel specifically considered effects of: (A) [CO2] on canopy temperature. (B) [CO2] on transpiration. (C) Elevated temperature on specific processes such as seed set or leaf senescence (heat stress).

Table 8 Number of papers that assessed climate change impact for a given crop, environmental or socio-economic variable.

Table 9 Number of papers that considered specific traits or factors in relation to risk as evidenced by consideration of probability distributions, variability (e.g., as coefficients of variation) or frequencies over time.

Table 4 Number of papers classified by the simulation model used to assess impacts, how well the selection of a model was justified, and how the model was evaluated for overall suitability. Fractions resulted from papers where multiple models were used.

Table 7 Number of papers that tested specific cropping practices as a potential for adaptation and the total number of practices that were varied per paper.

Fig. 5. Variation in assumed baseline and future scenarios as related to date of acceptance for publication of papers based climate change scenarios directly on outputs of climate models. The lines link multiple values from a single paper. (A) Onset and duration of baseline weather periods. (B) Assumed baseline and future ambient [CO2].