Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity

Prioritisation of high-impact species is becoming increasingly important for management of introduced species (‘neobiota’) because of their growing number of which, however, only a small fraction has substantial impacts. Impact scores for prioritising species may be affected by t...

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Main Authors: Jan Thiele, Maike Isermann, Johannes Kollmann, Annette Otte
Format: Article
Language:English
Published: Pensoft Publishers 2011-10-01
Series:NeoBiota
Online Access:http://neobiota.pensoft.net/lib/ajax_srv/article_elements_srv.php?action=download_pdf&item_id=1211
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spelling doaj-0884b206aa7143088157cc00b7dd19832020-11-25T00:12:43ZengPensoft PublishersNeoBiota1619-00331314-24882011-10-01100657910.3897/neobiota.10.11911211Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearityJan ThieleMaike IsermannJohannes KollmannAnnette OttePrioritisation of high-impact species is becoming increasingly important for management of introduced species (‘neobiota’) because of their growing number of which, however, only a small fraction has substantial impacts. Impact scores for prioritising species may be affected by the type of effect model used. Recent studies have shown that environmental co-variation and non-linearity may be significant for effect models of biological invasions. Here, we test for differences in impact scores between simple and complex effect models of three invasive plant species (Heracleum mantegazzianum, Lupinus polyphyllus, Rosa rugosa).We investigated the effects of cover percentages of the invasive plants on species richness of invaded communities using both simple linear effect models (‘basic models’) and more complex linear or non-linear models including environmental co-factors (‘full models’). Then, we calculated impact scores for each invasive species as the average reduction of species richness predicted by basic and full effect models.All three non-native species had negative effects on species richness, but the full effect models also indicated significant influence of habitat types. Heracleum mantegazzianum had uniform linear effects in all habitats, while effects of L. polyphyllus interacted strongly with habitat type, and R. rugosa showed a marked non-linear relationship. Impact scores were overestimated by basic effect models for H. mantegazzianum and R. rugosa due to disregard of habitat effects and non-linearity, respectively. In contrast, impact of L. polyphyllus was underestimated by the basic model that did not account for the strong interaction of invader cover and habitat type.We conclude that simple linear models will often yield inaccurate impact scores of non-native species. Hence, effect models should consider environmental co-variation and, if necessary, non-linearity of the effects of biological invasions on native ecosystems.http://neobiota.pensoft.net/lib/ajax_srv/article_elements_srv.php?action=download_pdf&item_id=1211
collection DOAJ
language English
format Article
sources DOAJ
author Jan Thiele
Maike Isermann
Johannes Kollmann
Annette Otte
spellingShingle Jan Thiele
Maike Isermann
Johannes Kollmann
Annette Otte
Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
NeoBiota
author_facet Jan Thiele
Maike Isermann
Johannes Kollmann
Annette Otte
author_sort Jan Thiele
title Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
title_short Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
title_full Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
title_fullStr Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
title_full_unstemmed Impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
title_sort impact scores of invasive plants are biased by disregard of environmental co-variation and non-linearity
publisher Pensoft Publishers
series NeoBiota
issn 1619-0033
1314-2488
publishDate 2011-10-01
description Prioritisation of high-impact species is becoming increasingly important for management of introduced species (‘neobiota’) because of their growing number of which, however, only a small fraction has substantial impacts. Impact scores for prioritising species may be affected by the type of effect model used. Recent studies have shown that environmental co-variation and non-linearity may be significant for effect models of biological invasions. Here, we test for differences in impact scores between simple and complex effect models of three invasive plant species (Heracleum mantegazzianum, Lupinus polyphyllus, Rosa rugosa).We investigated the effects of cover percentages of the invasive plants on species richness of invaded communities using both simple linear effect models (‘basic models’) and more complex linear or non-linear models including environmental co-factors (‘full models’). Then, we calculated impact scores for each invasive species as the average reduction of species richness predicted by basic and full effect models.All three non-native species had negative effects on species richness, but the full effect models also indicated significant influence of habitat types. Heracleum mantegazzianum had uniform linear effects in all habitats, while effects of L. polyphyllus interacted strongly with habitat type, and R. rugosa showed a marked non-linear relationship. Impact scores were overestimated by basic effect models for H. mantegazzianum and R. rugosa due to disregard of habitat effects and non-linearity, respectively. In contrast, impact of L. polyphyllus was underestimated by the basic model that did not account for the strong interaction of invader cover and habitat type.We conclude that simple linear models will often yield inaccurate impact scores of non-native species. Hence, effect models should consider environmental co-variation and, if necessary, non-linearity of the effects of biological invasions on native ecosystems.
url http://neobiota.pensoft.net/lib/ajax_srv/article_elements_srv.php?action=download_pdf&item_id=1211
work_keys_str_mv AT janthiele impactscoresofinvasiveplantsarebiasedbydisregardofenvironmentalcovariationandnonlinearity
AT maikeisermann impactscoresofinvasiveplantsarebiasedbydisregardofenvironmentalcovariationandnonlinearity
AT johanneskollmann impactscoresofinvasiveplantsarebiasedbydisregardofenvironmentalcovariationandnonlinearity
AT annetteotte impactscoresofinvasiveplantsarebiasedbydisregardofenvironmentalcovariationandnonlinearity
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