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Lookup NU author(s): Dr Francesco CarrerORCiD, Dr Gunder Varinlioglu, Professor Mark Jackson, Professor Sam Turner
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
More than 80 per cent of the world's landscapes are influenced significantly by human activities, and current land-use and land cover trends are likely to increase the rate of landscape change at a significant rate in the near future. To manage and guide landscape change, and an advocacy of positive landscape change – rather than attempts to stop change as in traditional preservationist approaches – requires the identification of threats and opportunities. Tools to do this will need to be based on well-investigated evidence for the long-term past evolution of landscapes and the understanding of possible future scenarios for change. Historic landscape characterisation (HLC) is a GIS-based method employed to interpret and study landscapes with a particular focus on representing and mapping the aspects of landscape character which result from past cultural processes. This paper introduces a new protocol which uses HLC data to model future landscape evolution and to simulate scenarios of landscape change. It describes a computer-based simulation framework derived from landscape ecology and used with HLC datasets during research on a region in southern Turkey. Such integrated modelling protocols have the potential to assist landscape planners to develop holistic and informative approaches to managing landscape change.
Author(s): Erdogan N, Carrer F, Ersoy Tonyaloglu E, Cavdar B, Varinlioglu G, Serifoglu TE, Jackson M, Kurtsan K, Nurlu E, Turner S
Publication type: Article
Publication status: Published
Journal: Landscapes
Year: 2020
Volume: 21
Issue: 2
Pages: 168-182
Print publication date: 15/12/2021
Online publication date: 07/12/2021
Acceptance date: 06/10/2021
Date deposited: 08/12/2021
ISSN (print): 1466-2035
ISSN (electronic): 2040-8153
Publisher: Routledge
URL: https://doi.org/10.1080/14662035.2021.1964767
DOI: 10.1080/14662035.2021.1964767
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