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Exploring Futures in Landscape Agronomy: Methodological Issues and Prospects of Combining Scenarios and Spatially Explicit Models

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Landscape Agronomy

Abstract

This chapter describes the combinations of spatially explicit models and scenarios to explore futures of agricultural landscapes. Modeling agricultural landscape changes remains highly challenging and strongly depends on the scale (resolution, extent) considered, leading to various types of models that have respecting advantages and drawbacks. Moreover, the type of scenario (e.g., trends, contrasting, alternative) to be simulated may influence the model design or choice, and vice versa. This chapter outlines main practices for (a) exploring agricultural futures in land change science and (b) LUCC modeling in landscape agronomy highlights, illustrating the converging interests of landscape agronomy and LUCC modeling, and the remaining challenges.

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Acknowledgments

The authors would like to thank the two reviewers for their helpful comments and suggestions on an earlier draft. Note from the authors: This contribution has been written and submitted in 2016 by the authors. They thus would like to disclaim for not integrating up-to-date references.

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Authors and Affiliations

  1. LETG – Rennes Laboratory UMR 6554 CNRS, University of Rennes, Rennes Cedex, France

    Thomas Houet

  2. Environmental Geography Group, Faculty of Science, VU University Amsterdam, Amsterdam, The Netherlands

    Peter H. Verburg

  3. Swiss Federal Research Institute WSL, Research Unit Landscape Dynamics, Birmensdorf, Switzerland

    Peter H. Verburg

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Correspondence to Thomas Houet .

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  1. InTerACT UP 2018.C102, Institut Polytechnique UniLaSalle, Beauvais, France

    Davide Rizzo

  2. Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy

    Elisa Marraccini

  3. INRAE, AgroParisTech, UMR Territoires, Clermont-Ferrand, France

    Sylvie Lardon

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Houet, T., Verburg, P.H. (2022). Exploring Futures in Landscape Agronomy: Methodological Issues and Prospects of Combining Scenarios and Spatially Explicit Models. In: Rizzo, D., Marraccini, E., Lardon, S. (eds) Landscape Agronomy. Springer, Cham. https://doi.org/10.1007/978-3-031-05263-7_5

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