Abstract
This chapter describes the structure, datasets and processing methods of a new spatial analysis framework to assess the response of agricultural landscapes to climates and soils. Georeferenced gridded information on climate (historical and climate change scenarios), soils, terrain and crop management are dynamically integrated by a process-based biophysical model within a high-performance computing environment. The framework is used as a research tool to quantify productivity and environmental aspects of agricultural systems. An application case study using New Zealand spatial datasets and silage maize cropping systems illustrates the current framework capability and highlights key areas for enhancement in future gridded modelling research.
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Acknowledgements
This work was completed under Plant & Food Research’s Discovery Science project “Spatial modelling of crops under climate change” (DS17-19) and Sustainable Agro-Ecosystems (SAE) programme, both funded from the Strategic Science Investment Fund. Additional funding was provided as an output for the Suitability programme of the Our Land and Water and Deep South National Science Challenges (Ministry of Business, Innovation and Employment contracts C10X1507 and C01X1445).
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Teixeira, E. et al. (2020). A Spatial Analysis Framework to Assess Responses of Agricultural Landscapes to Climates and Soils at Regional Scale. In: Mirschel, W., Terleev, V., Wenkel, KO. (eds) Landscape Modelling and Decision Support. Innovations in Landscape Research. Springer, Cham. https://doi.org/10.1007/978-3-030-37421-1_25
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DOI: https://doi.org/10.1007/978-3-030-37421-1_25
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