Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests

Plant diversity is a core value of forests and is rapidly becoming a primary management goal under the threat of global environmental changes. Changing conditions, including forestry interventions, or lack of them, may endanger its preservation. Abandonment of management in forests previously subjec...

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Autores principales: Siba Ghadban, Aitor Ameztegui, Marcos Rodrigues, Cristina Chocarro, Fermín Alcasena, Cristina Vega-Garcia
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/2d2c4d93b548409a9b19c3a9d3eec4fd
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spelling oai:doaj.org-article:2d2c4d93b548409a9b19c3a9d3eec4fd2021-11-11T19:24:01ZStand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests10.3390/su1321116582071-1050https://doaj.org/article/2d2c4d93b548409a9b19c3a9d3eec4fd2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11658https://doaj.org/toc/2071-1050Plant diversity is a core value of forests and is rapidly becoming a primary management goal under the threat of global environmental changes. Changing conditions, including forestry interventions, or lack of them, may endanger its preservation. Abandonment of management in forests previously subjected to a multipurpose silviculture and secondary succession is hypothesized to have altered the biodiverse Mediterranean forests in recent years and affected plant diversity. We used data in national forest inventory plots and local landscape ecology metrics from forest cartography, combined with artificial neural networks, to predict richness and Shannon diversity indices for the tree and shrub layers of several Mediterranean forest types. We found that richness and diversity depend on forest structure and on local landscape patterns, and also, though to a lesser degree, on site conditions (mainly soil pH), but not on forest intervention. In order to benefit plant diversity in the forest landscapes analyzed, forest management practices need to promote diameter variety, the presence of large trees, tree cover, variation in the height of trees and shrubs, and a heterogeneous local landscape at the stand level. Aleppo pine forests and Scots pine forests showed more consistent results in their models than cork oak and black pine forests, both of which require further research.Siba GhadbanAitor AmezteguiMarcos RodriguesCristina ChocarroFermín AlcasenaCristina Vega-GarciaMDPI AGarticlelandscape metricsforest managementartificial neural networksrichnessShannon diversity indexEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11658, p 11658 (2021)
institution DOAJ
collection DOAJ
language EN
topic landscape metrics
forest management
artificial neural networks
richness
Shannon diversity index
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle landscape metrics
forest management
artificial neural networks
richness
Shannon diversity index
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Siba Ghadban
Aitor Ameztegui
Marcos Rodrigues
Cristina Chocarro
Fermín Alcasena
Cristina Vega-Garcia
Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests
description Plant diversity is a core value of forests and is rapidly becoming a primary management goal under the threat of global environmental changes. Changing conditions, including forestry interventions, or lack of them, may endanger its preservation. Abandonment of management in forests previously subjected to a multipurpose silviculture and secondary succession is hypothesized to have altered the biodiverse Mediterranean forests in recent years and affected plant diversity. We used data in national forest inventory plots and local landscape ecology metrics from forest cartography, combined with artificial neural networks, to predict richness and Shannon diversity indices for the tree and shrub layers of several Mediterranean forest types. We found that richness and diversity depend on forest structure and on local landscape patterns, and also, though to a lesser degree, on site conditions (mainly soil pH), but not on forest intervention. In order to benefit plant diversity in the forest landscapes analyzed, forest management practices need to promote diameter variety, the presence of large trees, tree cover, variation in the height of trees and shrubs, and a heterogeneous local landscape at the stand level. Aleppo pine forests and Scots pine forests showed more consistent results in their models than cork oak and black pine forests, both of which require further research.
format article
author Siba Ghadban
Aitor Ameztegui
Marcos Rodrigues
Cristina Chocarro
Fermín Alcasena
Cristina Vega-Garcia
author_facet Siba Ghadban
Aitor Ameztegui
Marcos Rodrigues
Cristina Chocarro
Fermín Alcasena
Cristina Vega-Garcia
author_sort Siba Ghadban
title Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests
title_short Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests
title_full Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests
title_fullStr Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests
title_full_unstemmed Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests
title_sort stand structure and local landscape variables are the dominant factors explaining shrub and tree diversity in mediterranean forests
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/2d2c4d93b548409a9b19c3a9d3eec4fd
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