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Modelling Continuous Location Suitability Scores and Spatial Footprint of Apple and Kiwifruit in New Zealand

Author

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  • Indrakumar Vetharaniam

    (The New Zealand Institute for Plant and Food Research Ltd., Hamilton 3214, New Zealand)

  • Karin Müller

    (The New Zealand Institute for Plant and Food Research Ltd., Hamilton 3214, New Zealand)

  • C. Jill Stanley

    (The New Zealand Institute for Plant and Food Research Ltd., Clyde 9391, New Zealand)

  • Carlo van den Dijssel

    (The New Zealand Institute for Plant and Food Research Ltd., Palmerston North 4410, New Zealand)

  • Levente Timar

    (Motu Economic and Public Policy Research, Wellington 6142, New Zealand)

  • Brent Clothier

    (The New Zealand Institute for Plant and Food Research Ltd., Palmerston North 4410, New Zealand)

Abstract

Under climate change, land use suitability for horticultural production will change; this has prospects of both adverse socio-economic impacts for the industry in some regions, and beneficial impacts in others. Policy development and industry guidance are needed to develop adaptations to mitigate climate change risks and exploit new opportunities. For climate-change issues, models provide a powerful means for assessing future suitability at a patch, region or national scale in order to guide policy decisions. Here, we describe the development of a new continuous (sliding-scale) suitability modelling approach to assess the suitability of different locations for growing apple and kiwifruit in New Zealand, based on phenological and physiological considerations; these models used geographical information system (GIS) soil, land and weather data to develop maps showing the suitability of locations across New Zealand for cultivating apple and kiwifruit. The models were “ground-truthed” in an iterative process of expert parameterisation and recalibration to ensure maps aligned with current growing locations for the two crops. We estimated an econometric logit model that incorporated the continuous suitability scores as predictors of land use for apple and kiwifruit. Comparison of modelled suitability scores with industry-supplied maps of apple and kiwifruit orchards showed good consistency between predicted suitability and current land use. Compared with a range of alternative land uses, suitability for apple was highest for locations currently used to grow apple and suitability for kiwifruit was highest for locations currently used to grow kiwifruit. Our framework provides the capability to project incremental changes in the suitability of locations for apple and kiwifruit under different climate change pathways and to project consequential changes in their spatial footprints; this framework can be extended to other crops.

Suggested Citation

  • Indrakumar Vetharaniam & Karin Müller & C. Jill Stanley & Carlo van den Dijssel & Levente Timar & Brent Clothier, 2022. "Modelling Continuous Location Suitability Scores and Spatial Footprint of Apple and Kiwifruit in New Zealand," Land, MDPI, vol. 11(9), pages 1-22, September.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1528-:d:911238
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    References listed on IDEAS

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    1. Allen Blackman & Heidi J. Albers & Beatriz ávalos-Sartorio & Lisa Crooks Murphy, 2008. "Land Cover in a Managed Forest Ecosystem: Mexican Shade Coffee," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 216-231.
    2. Suzi Kerr & Simon Anastasiadis & Alex Olssen & William Power & Levente Tímár & Wei Zhang, 2012. "Spatial and Temporal Responses to an Emissions Trading System Covering Agriculture and Forestry: Simulation Results from New Zealand," Working Papers 12_10, Motu Economic and Public Policy Research.
    3. Schönhart, Martin & Trautvetter, Helene & Parajka, Juraj & Blaschke, Alfred Paul & Hepp, Gerold & Kirchner, Mathias & Mitter, Hermine & Schmid, Erwin & Strenn, Birgit & Zessner, Matthias, 2018. "Modelled impacts of policies and climate change on land use and water quality in Austria," Land Use Policy, Elsevier, vol. 76(C), pages 500-514.
    4. Levente Tímár, 2011. "Rural Land Use and Land Tenure in New Zealand," Working Papers 11_13, Motu Economic and Public Policy Research.
    5. Chomitz, Kenneth M & Gray, David A, 1996. "Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize," The World Bank Economic Review, World Bank, vol. 10(3), pages 487-512, September.
    6. Akpoti, Komlavi & Kabo-bah, Amos T. & Zwart, Sander J., 2019. "Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis," Agricultural Systems, Elsevier, vol. 173(C), pages 172-208.
    7. Indrakumar Vetharaniam & Levente Timar & C. Jill Stanley & Karin Müller & Carlo van den Dijssel & Brent Clothier, 2022. "Modelling Climate Change Impacts on Location Suitability and Spatial Footprint of Apple and Kiwifruit," Land, MDPI, vol. 11(10), pages 1-27, September.
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    1. Indrakumar Vetharaniam & Levente Timar & C. Jill Stanley & Karin Müller & Carlo van den Dijssel & Brent Clothier, 2022. "Modelling Climate Change Impacts on Location Suitability and Spatial Footprint of Apple and Kiwifruit," Land, MDPI, vol. 11(10), pages 1-27, September.

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