Evaluating methods to simulate crop rotations for climate impact assessments – A case study on the Canterbury plains of New Zealand. (October 2015)

• Record Type: Journal Article
• Authors: Teixeira, Edmar I.; Brown, Hamish E.; Sharp, Joanna; Meenken, Esther D.; Ewert, Frank
• Is Part Of: Environmental modelling & software. Volume 72(2015:Oct.)
• Page Start: 304
• Page End: 313
• Publication Date: 2015-10
• Subjects: APSIM -- Climate change -- Crop modelling -- Crop rotation; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2015.05.012
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Most climate impact assessments for food production simulate single crops with re-initialised soil conditions. However, crop rotations with multiple crops are used in many agricultural regions worldwide. This case-study compares methods to aggregate outputs from simulations of multi-crop systems for climate impact assessments. The APSIM model was used to simulate four crops as monocultures (re-initialised or continuous) or as (single or multiple) instances of continuous rotations. We considered two contrasting climates and two soil types, with four production intensification scenarios (high/low water and nitrogen input). Results suggest that differences among the methods depend on the impact variable of interest and the degree of intensification. Detailed simulations (i.e. multiple runs of continuous rotations) were especially valuable for soil-related variables and limiting growth conditions. These results can indicate sources of uncertainty for large scale impact and adaptation assessments where simplifications of crop rotations are often necessary. Highlights: We test different methods to simulate yield, water use and soil N in crop rotations. A sensitivity analysis was used to compare multi-year simulations with four crops. Methods combined single/multiple runs of re-initialised/continuous soil conditions. Soil variables were more sensitive to simulation methods than yield variables. Outputs were more sensitive to simulation method for limited crop growth conditions.