ePrints

Simulating change in cultural landscapes: the integration of Historic Landscape Characterisation and computer modelling

Lookup NU author(s): Dr Francesco CarrerORCiD, Dr Gunder Varinlioglu, Professor Mark JacksonORCiD, Professor Sam Turner

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

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.

Publication metadata

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

Altmetrics

Funding

Share