Literature DB >> 33664629

Modelling agricultural land abandonment in a fine spatial resolution multi-level land-use model: An application for the EU.

Carolina Perpiña Castillo1, Chris Jacobs-Crisioni1, Vasco Diogo2, Carlo Lavalle1.   

Abstract

In the majority of EU Member States, agricultural land is expected to decrease not only due to land-use changes in favour of urban expansion and afforestation but also to land abandonment processes. The knowledge on location and extent of agricultural land abandonment is relevant for estimating local external effects and adapting policy interventions. Currently, multi-level land-use models are able to capture determined processes of demand-driven redevelopment. However, land abandonment is much more difficult to capture because of its more ambiguous definition and the lack of data on its spatial distribution. This paper presents a method to explicitly model agricultural abandonment as a choice of disinvestment, which in turn is embedded in a utility-based land-use modelling framework that projects land-use changes for the EU and the UK. Validation exercises using observed spatial distribution of abandoned farmland show that the proposed method allows to model abandonment with acceptable accuracy.
© 2020 The Authors.

Entities:  

Keywords:  Agricultural land abandonment; EU Reference scenario; European risk map; Territorial modelling; Validation

Year:  2021        PMID: 33664629      PMCID: PMC7893687          DOI: 10.1016/j.envsoft.2020.104946

Source DB:  PubMed          Journal:  Environ Model Softw        ISSN: 1364-8152            Impact factor:   5.288


  2 in total

Review 1.  From land cover change to land function dynamics: a major challenge to improve land characterization.

Authors:  Peter H Verburg; Jeannette van de Steeg; A Veldkamp; Louise Willemen
Journal:  J Environ Manage       Date:  2008-09-21       Impact factor: 6.789

2.  Spatial variation in determinants of agricultural land abandonment in Europe.

Authors:  Christian Levers; Max Schneider; Alexander V Prishchepov; Stephan Estel; Tobias Kuemmerle
Journal:  Sci Total Environ       Date:  2018-07-04       Impact factor: 7.963

  2 in total

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