Understanding patchy landscape dynamics: towards a landscape language.

Patchy landscapes driven by human decisions and/or natural forces are still a challenge to be understood and modelled. No attempt has been made up to now to describe them by a coherent framework and to formalize landscape changing rules. Overcoming this lacuna was our first objective here, and this...

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Autores principales:	Cédric Gaucherel, Frédéric Boudon, Thomas Houet, Mathieu Castets, Christophe Godin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fa0a72b542a6433291766068c6727ba7
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spelling	oai:doaj.org-article:fa0a72b542a6433291766068c6727ba72021-11-18T08:14:05ZUnderstanding patchy landscape dynamics: towards a landscape language.1932-620310.1371/journal.pone.0046064https://doaj.org/article/fa0a72b542a6433291766068c6727ba72012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23049935/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Patchy landscapes driven by human decisions and/or natural forces are still a challenge to be understood and modelled. No attempt has been made up to now to describe them by a coherent framework and to formalize landscape changing rules. Overcoming this lacuna was our first objective here, and this was largely based on the notion of Rewriting Systems, also called Formal Grammars. We used complicated scenarios of agricultural dynamics to model landscapes and to write their corresponding driving rule equations. Our second objective was to illustrate the relevance of this landscape language concept for landscape modelling through various grassland managements, with the final aim to assess their respective impacts on biological conservation. For this purpose, we made the assumptions that a higher grassland appearance frequency and higher land cover connectivity are favourable to species conservation. Ecological results revealed that dairy and beef livestock production systems are more favourable to wild species than is hog farming, although in different ways. Methodological results allowed us to efficiently model and formalize these landscape dynamics. This study demonstrates the applicability of the Rewriting System framework to the modelling of agricultural landscapes and, hopefully, to other patchy landscapes. The newly defined grammar is able to explain changes that are neither necessarily local nor Markovian, and opens a way to analytical modelling of landscape dynamics.Cédric GaucherelFrédéric BoudonThomas HouetMathieu CastetsChristophe GodinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e46064 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cédric Gaucherel Frédéric Boudon Thomas Houet Mathieu Castets Christophe Godin Understanding patchy landscape dynamics: towards a landscape language.
description	Patchy landscapes driven by human decisions and/or natural forces are still a challenge to be understood and modelled. No attempt has been made up to now to describe them by a coherent framework and to formalize landscape changing rules. Overcoming this lacuna was our first objective here, and this was largely based on the notion of Rewriting Systems, also called Formal Grammars. We used complicated scenarios of agricultural dynamics to model landscapes and to write their corresponding driving rule equations. Our second objective was to illustrate the relevance of this landscape language concept for landscape modelling through various grassland managements, with the final aim to assess their respective impacts on biological conservation. For this purpose, we made the assumptions that a higher grassland appearance frequency and higher land cover connectivity are favourable to species conservation. Ecological results revealed that dairy and beef livestock production systems are more favourable to wild species than is hog farming, although in different ways. Methodological results allowed us to efficiently model and formalize these landscape dynamics. This study demonstrates the applicability of the Rewriting System framework to the modelling of agricultural landscapes and, hopefully, to other patchy landscapes. The newly defined grammar is able to explain changes that are neither necessarily local nor Markovian, and opens a way to analytical modelling of landscape dynamics.
format	article
author	Cédric Gaucherel Frédéric Boudon Thomas Houet Mathieu Castets Christophe Godin
author_facet	Cédric Gaucherel Frédéric Boudon Thomas Houet Mathieu Castets Christophe Godin
author_sort	Cédric Gaucherel
title	Understanding patchy landscape dynamics: towards a landscape language.
title_short	Understanding patchy landscape dynamics: towards a landscape language.
title_full	Understanding patchy landscape dynamics: towards a landscape language.
title_fullStr	Understanding patchy landscape dynamics: towards a landscape language.
title_full_unstemmed	Understanding patchy landscape dynamics: towards a landscape language.
title_sort	understanding patchy landscape dynamics: towards a landscape language.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/fa0a72b542a6433291766068c6727ba7
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Understanding patchy landscape dynamics: towards a landscape language.

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