Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems

Invasive alien species risk assessment and adaptive management are often hindered by a lack of information for most species. This work aims at predicting the probability of successful establishment and invasion of Oenothera stucchii Soldano, a neophyte invasive species belonging to the sect. Oenothe...

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Autores principales:	Gabriella Buffa, Carlo Gaetan, Stefano Piccoli, Silvia Del Vecchio, Edy Fantinato
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Biotic resistance Environmental filter Habitat invasibility Human-driven disturbance Invasive alien plant species Oenothera subsect. Oenothera Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/ccf65bd60b734403a488653831986e8f
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spelling	oai:doaj.org-article:ccf65bd60b734403a488653831986e8f2021-12-01T04:48:12ZUsing fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems1470-160X10.1016/j.ecolind.2021.107564https://doaj.org/article/ccf65bd60b734403a488653831986e8f2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002296https://doaj.org/toc/1470-160XInvasive alien species risk assessment and adaptive management are often hindered by a lack of information for most species. This work aims at predicting the probability of successful establishment and invasion of Oenothera stucchii Soldano, a neophyte invasive species belonging to the sect. Oenothera subsect. Oenothera, in xerophilous grasslands of grey dunes. Based on fine-scale field data, we modelled O. stucchii presence/absence and abundance as a function of environmental factors, human disturbance, and attributes of the recipient community through a zero-inflated Poisson model. The invasion success of O. stucchii depended on a combination of factors which differed when considering either the patterns of occurrence (species presence/absence) or those of species abundance. While human-driven disturbance strongly influenced the probability of presence/absence of O. stucchii, patterns of abundance were mostly driven by a combination of environmental and biotic features. Attributes of the recipient community remarkably influenced both O. stucchii presence and abundance. Based on fine-scale field data, we determined the mechanisms which drive the spatial patterns of presence and abundance of O. stucchii in xerophilous grasslands and provided quantitative thresholds to identify the most susceptible areas of grey dune habitats prone to invasion, which combine human disturbance (distance from the nearest beach access), attributes of the resident community (resident vegetation cover and structure), and environmental disturbance (foredune ridge height). These results provide useful insights to be used to plan cost-effective measures to prevent O. stucchii establishment and spread in sandy coastal systems. Our model may also be applied to closely related congener species included in the subsect. Oenothera, sharing similar biological and ecological traits.Gabriella BuffaCarlo GaetanStefano PiccoliSilvia Del VecchioEdy FantinatoElsevierarticleBiotic resistanceEnvironmental filterHabitat invasibilityHuman-driven disturbanceInvasive alien plant speciesOenothera subsect. OenotheraEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107564- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biotic resistance Environmental filter Habitat invasibility Human-driven disturbance Invasive alien plant species Oenothera subsect. Oenothera Ecology QH540-549.5
spellingShingle	Biotic resistance Environmental filter Habitat invasibility Human-driven disturbance Invasive alien plant species Oenothera subsect. Oenothera Ecology QH540-549.5 Gabriella Buffa Carlo Gaetan Stefano Piccoli Silvia Del Vecchio Edy Fantinato Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems
description	Invasive alien species risk assessment and adaptive management are often hindered by a lack of information for most species. This work aims at predicting the probability of successful establishment and invasion of Oenothera stucchii Soldano, a neophyte invasive species belonging to the sect. Oenothera subsect. Oenothera, in xerophilous grasslands of grey dunes. Based on fine-scale field data, we modelled O. stucchii presence/absence and abundance as a function of environmental factors, human disturbance, and attributes of the recipient community through a zero-inflated Poisson model. The invasion success of O. stucchii depended on a combination of factors which differed when considering either the patterns of occurrence (species presence/absence) or those of species abundance. While human-driven disturbance strongly influenced the probability of presence/absence of O. stucchii, patterns of abundance were mostly driven by a combination of environmental and biotic features. Attributes of the recipient community remarkably influenced both O. stucchii presence and abundance. Based on fine-scale field data, we determined the mechanisms which drive the spatial patterns of presence and abundance of O. stucchii in xerophilous grasslands and provided quantitative thresholds to identify the most susceptible areas of grey dune habitats prone to invasion, which combine human disturbance (distance from the nearest beach access), attributes of the resident community (resident vegetation cover and structure), and environmental disturbance (foredune ridge height). These results provide useful insights to be used to plan cost-effective measures to prevent O. stucchii establishment and spread in sandy coastal systems. Our model may also be applied to closely related congener species included in the subsect. Oenothera, sharing similar biological and ecological traits.
format	article
author	Gabriella Buffa Carlo Gaetan Stefano Piccoli Silvia Del Vecchio Edy Fantinato
author_facet	Gabriella Buffa Carlo Gaetan Stefano Piccoli Silvia Del Vecchio Edy Fantinato
author_sort	Gabriella Buffa
title	Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems
title_short	Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems
title_full	Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems
title_fullStr	Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems
title_full_unstemmed	Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems
title_sort	using fine-scale field data modelling for planning the management of invasions of oenothera stucchii in coastal dune systems
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ccf65bd60b734403a488653831986e8f
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Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems

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