Challenges and opportunities in crop simulation modelling under seasonal and projected climate change scenarios for crop production in South Africa
نویسندگان
چکیده
Abstract A broad scope of crop models with varying demands on data inputs is being used for several purposes, such as possible adaptation strategies to control climate change impacts future production, management decisions, and policies. constant challenge model simulation, especially performance projections impact studies under varied conditions, the unavailability reliable historical calibrations. In some cases, available input may not be in quantity quality needed drive most models. Even when a suitable choice simulation selected, limitations hamper models’ effective role projections. To date, no review has looked at factors inhibiting use complementary sources South Africa. This barriers relevant from which can sourced, proposed framework collecting data. Results showed that simulations exist because, instances, data, like climate, soil, farm practices, cultivar characteristics, were generally incomplete, poor quality, easily accessible or usable. We advocate hybrid approach obtaining calibration validation. Recommended methods depending intended outputs end results include remote sensing, field, greenhouse experiments, secondary engaging farmers actual on-farm conditions. Thus, employing more than one method collection reduce challenges faced by modellers due The modelling depends goodness availability readiness cooperate modularity standardization, potential user groups’ ability communicate.
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ژورنال
عنوان ژورنال: Agriculture & food security
سال: 2021
ISSN: ['2048-7010']
DOI: https://doi.org/10.1186/s40066-020-00283-5