The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]

A growing body of research suggests mixed-species stands are generally more productive than pure stands as well as less sensitive to disturbances. However, these effects of mixture depend on species assemblages and environmental conditions. Here, we present the Salem simulator, a tool that can help...

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Autores principales:	Raphaël Aussenac, Thomas Pérot, Mathieu Fortin, Francois de Coligny, Jean-Matthieu Monnet, Patrick Vallet
Formato:	article
Lenguaje:	EN
Publicado:	F1000 Research Limited 2021
Materias:	Science Q Social Sciences H
Acceso en línea:	https://doaj.org/article/ed3429787cb4406d80e3478642d41c09
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spelling	oai:doaj.org-article:ed3429787cb4406d80e3478642d41c092021-11-22T12:41:09ZThe Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]2732-512110.12688/openreseurope.13671.2https://doaj.org/article/ed3429787cb4406d80e3478642d41c092021-11-01T00:00:00Zhttps://open-research-europe.ec.europa.eu/articles/1-61/v2https://doaj.org/toc/2732-5121A growing body of research suggests mixed-species stands are generally more productive than pure stands as well as less sensitive to disturbances. However, these effects of mixture depend on species assemblages and environmental conditions. Here, we present the Salem simulator, a tool that can help forest managers assess the potential benefit of shifting from pure to mixed stands from a productivity perspective. Salem predicts the dynamics of pure and mixed even-aged stands and makes it possible to simulate management operations. Its purpose is to be a decision support tool for forest managers and stakeholders as well as for policy makers. It is also designed to conduct virtual experiments and help answer research questions. In Salem, we parameterised the growth in pure stand of 12 common tree species of Europe and we assessed the effect of mixture on species growth for 24 species pairs (made up of the 12 species mentioned above). Thus, Salem makes it possible to compare the productivity of 36 different pure and mixed stands depending on environmental conditions and user-defined management strategies. Salem is essentially based on the analysis of National Forest Inventory data. A major outcome of this analysis is that we found species mixture most often increases species growth, in particular at the poorest sites. Independently from the simulator, foresters and researchers can also consider using the species-specific models that constitute Salem: the growth models including or excluding mixture effect, the bark models, the diameter distribution models, the circumference-height relationship models, as well as the volume equations for the 12 parameterised species. Salem runs on Windows, Linux, or Mac. Its user-friendly graphical user interface makes it easy to use for non-modellers. Finally, it is distributed under a LGPL license and is therefore free and open source.Raphaël AussenacThomas PérotMathieu FortinFrancois de ColignyJean-Matthieu MonnetPatrick ValletF1000 Research LimitedarticleScienceQSocial SciencesHENOpen Research Europe, Vol 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q Social Sciences H
spellingShingle	Science Q Social Sciences H Raphaël Aussenac Thomas Pérot Mathieu Fortin Francois de Coligny Jean-Matthieu Monnet Patrick Vallet The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
description	A growing body of research suggests mixed-species stands are generally more productive than pure stands as well as less sensitive to disturbances. However, these effects of mixture depend on species assemblages and environmental conditions. Here, we present the Salem simulator, a tool that can help forest managers assess the potential benefit of shifting from pure to mixed stands from a productivity perspective. Salem predicts the dynamics of pure and mixed even-aged stands and makes it possible to simulate management operations. Its purpose is to be a decision support tool for forest managers and stakeholders as well as for policy makers. It is also designed to conduct virtual experiments and help answer research questions. In Salem, we parameterised the growth in pure stand of 12 common tree species of Europe and we assessed the effect of mixture on species growth for 24 species pairs (made up of the 12 species mentioned above). Thus, Salem makes it possible to compare the productivity of 36 different pure and mixed stands depending on environmental conditions and user-defined management strategies. Salem is essentially based on the analysis of National Forest Inventory data. A major outcome of this analysis is that we found species mixture most often increases species growth, in particular at the poorest sites. Independently from the simulator, foresters and researchers can also consider using the species-specific models that constitute Salem: the growth models including or excluding mixture effect, the bark models, the diameter distribution models, the circumference-height relationship models, as well as the volume equations for the 12 parameterised species. Salem runs on Windows, Linux, or Mac. Its user-friendly graphical user interface makes it easy to use for non-modellers. Finally, it is distributed under a LGPL license and is therefore free and open source.
format	article
author	Raphaël Aussenac Thomas Pérot Mathieu Fortin Francois de Coligny Jean-Matthieu Monnet Patrick Vallet
author_facet	Raphaël Aussenac Thomas Pérot Mathieu Fortin Francois de Coligny Jean-Matthieu Monnet Patrick Vallet
author_sort	Raphaël Aussenac
title	The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
title_short	The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
title_full	The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
title_fullStr	The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
title_full_unstemmed	The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
title_sort	salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]
publisher	F1000 Research Limited
publishDate	2021
url	https://doaj.org/article/ed3429787cb4406d80e3478642d41c09
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The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]

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