AgResearch
Browse
LUS_TeixeiraEI_SpatialAnalysisNZ.pdf (967.48 kB)

A spatial analysis framework to assess responses of agricultural landscapes to climates and soils at regional scale

Download (967.48 kB)
model
posted on 2024-06-21, 03:55 authored by Edmar Teixeira, Anne-Gaelle Ausseil, Eric Burgueño, Hamish Brown, Rogerio Cichota, Marcus Davy, Frank Ewert, Jing Guo, Allister Holmes, Dean Holzworth, Wei Hu, John de Ruiter, Ellen Hume, Linley Jesson, Paul Johnstone, John Powell, Kurt Christian Kersebaum, Hymmi Kong, Jian Liu, Linda Lilburne, Sathiyamoorthy Meiyalaghan, Roy Storey, Kate Richards, Andrew Tait, Tony van der WeerdenTony van der Weerden
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 key areas for enhancement. This book chapter is part of the Innovations in Landscape Research book series.

Funding

Funded by the New Zealand Ministry for Business, Innovation and Employment's Our Land and Water National Science Challenge (Toitū te Whenua, Toiora te Wai) as part of project Land Use Suitability

History

Publication date

2018-02-07

Language

  • English

Does this contain Māori information or data?

  • No

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC