Supplementary material to “Drunken walking through the forest? On the importance of extreme variability in spatial models of land use change”

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Authors: Richard J. Hewitt, Paola Ovando, Marie Castellazzi, Andrea Baggio Compagnucci, Alessandro Gimona
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Abstract

Supplementary material for the manuscript "Forest planting targets for climate mitigation are hard to achieve through market-based instruments and may lead to land use conflicts". The article presents a stochastic Markov Chain model coupled to a cellular automata land allocation model to simulate the effect of extreme variability in land use demand on forest planting for the case of Scotland, UK

Fields of Study & Subjects

Land Use and Ecosystem Services Forest Management and Policy Conservation Biodiversity and Resource Management

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Language
EN