Multiple scale analysis of factors influencing the distribution of an invasive aquatic grass

Sarina E. Loo, Ralph MAC NALLY, Dennis O’Dowd, Jim THOMSON, P. Lake

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    With the expected increase in the spread of invasive species, examination of factors controlling distributions at multiple spatial scales and ecological modelling of their potential distributions are important analyses for informed decision-making. The scale-dependence of mechanisms influencing invasion by non-native species has been shown previously, indicating that studies of key factors affecting invasive species distributions at multiple spatial scales are critical for successful management. Freshwater systems are particularly vulnerable to invasive species, yet few studies have examined the environmental factors influencing distributions of invasive species at multiple spatial scales. We examined the effect of environmental variables on the predicted distribution of the invasive aquatic grass Glyceria maxima over continental, regional and local scales in Australia. We undertook an initial critical evaluation of which predictor variables were most appropriate to use at each scale, largely considering prior knowledge. On a continental scale, climatic, topographic and hydrological variables predicted well the potential distribution of G. maxima, identifying temperate regions as most susceptible to invasion. The regional analysis found that dense, woody, riparian vegetation has a strong negative impact on the occurrence of G. maxima, especially at intermediate elevations. The invasive grass was found less often on biotite granite and on fluvial geology. At a local scale, occurrence of G. maxima was related positively to soil phosphorus and nitrogen, and negatively related to soil organic carbon. The identification of key factors affecting invasive species distributions at multiple spatial scales will inform prevention schemes, assist targeted field sampling for the development of monitoring programs, and allow prioritization of control methods.
    Original languageEnglish
    Pages (from-to)1903-1912
    Number of pages10
    JournalBiological Invasions
    Volume11
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Glyceria maxima
    invasive species
    grass
    grasses
    biogeography
    biotite
    taxonomic keys
    environmental factors
    prioritization
    granite
    geology
    soil organic carbon
    ecological modeling
    decision making
    control methods
    riparian vegetation
    factor analysis
    analysis
    distribution
    phosphorus

    Cite this

    Loo, Sarina E. ; MAC NALLY, Ralph ; O’Dowd, Dennis ; THOMSON, Jim ; Lake, P. / Multiple scale analysis of factors influencing the distribution of an invasive aquatic grass. In: Biological Invasions. 2009 ; Vol. 11. pp. 1903-1912.
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    Multiple scale analysis of factors influencing the distribution of an invasive aquatic grass. / Loo, Sarina E.; MAC NALLY, Ralph; O’Dowd, Dennis; THOMSON, Jim; Lake, P.

    In: Biological Invasions, Vol. 11, 2009, p. 1903-1912.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Multiple scale analysis of factors influencing the distribution of an invasive aquatic grass

    AU - Loo, Sarina E.

    AU - MAC NALLY, Ralph

    AU - O’Dowd, Dennis

    AU - THOMSON, Jim

    AU - Lake, P.

    PY - 2009

    Y1 - 2009

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    AB - With the expected increase in the spread of invasive species, examination of factors controlling distributions at multiple spatial scales and ecological modelling of their potential distributions are important analyses for informed decision-making. The scale-dependence of mechanisms influencing invasion by non-native species has been shown previously, indicating that studies of key factors affecting invasive species distributions at multiple spatial scales are critical for successful management. Freshwater systems are particularly vulnerable to invasive species, yet few studies have examined the environmental factors influencing distributions of invasive species at multiple spatial scales. We examined the effect of environmental variables on the predicted distribution of the invasive aquatic grass Glyceria maxima over continental, regional and local scales in Australia. We undertook an initial critical evaluation of which predictor variables were most appropriate to use at each scale, largely considering prior knowledge. On a continental scale, climatic, topographic and hydrological variables predicted well the potential distribution of G. maxima, identifying temperate regions as most susceptible to invasion. The regional analysis found that dense, woody, riparian vegetation has a strong negative impact on the occurrence of G. maxima, especially at intermediate elevations. The invasive grass was found less often on biotite granite and on fluvial geology. At a local scale, occurrence of G. maxima was related positively to soil phosphorus and nitrogen, and negatively related to soil organic carbon. The identification of key factors affecting invasive species distributions at multiple spatial scales will inform prevention schemes, assist targeted field sampling for the development of monitoring programs, and allow prioritization of control methods.

    KW - Aquatic weeds

    KW - Biological invasion

    KW - GARP

    KW - Glyceria maxima

    KW - Invasive species

    KW - Spatial scale.

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