Buffel grass and climate change

a framework for projecting invasive species distributions when data are scarce

Tara Martin, Helen Murphy, Adam Liedloff, Colette Thomas, Iadine Chades, Garry Cook, Roderick Fensham, John McIvor, Rieks Van Klinken

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    Invasive species pose a substantial risk to native biodiversity. As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand how species distributions are likely to change over time and space. For most species however, few data are available on their current distributions, let alone projected future distributions. We demonstrat the benefits of Bayesian Networks (BNs) for projecting distributions of invasive species under various climate futures, when empirical data are lacking. Using the introduced pasture species, buffel grass (Cenchrus ciliaris) in Australia as an example, we employ a framework by which expert knowledge and available empirical data are used to build a BN. The framework models the susceptibility and suitability of the Australian continent to buffel grass colonization using three invasion requirements; the introduction of plant propagules to a site, the establishment of new plants at a site, and the persistence of established, reproducing populations. Our results highlight the potential for buffel grass management to become increasingly important in the southern part of the continent, whereas in the north conditions are projected to
    become less suitable. With respect to biodiversity impacts, our modelling suggests that the risk of buffel grass invasion within Australia’s National Reserve System is likely to increase with climate change as a result of the high number of reserves located in the central and southern portion of the continent. In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions.
    Original languageEnglish
    Pages (from-to)3197-3210
    Number of pages14
    JournalBiological Invasions
    Volume17
    Issue number11
    DOIs
    Publication statusPublished - Nov 2015

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    Cenchrus ciliaris
    invasive species
    biogeography
    grass
    climate change
    biodiversity
    propagation materials
    expert opinion
    introduced plants
    space and time
    climate
    pastures
    distribution
    pasture
    colonization
    persistence
    cost
    modeling
    continent

    Cite this

    Martin, T., Murphy, H., Liedloff, A., Thomas, C., Chades, I., Cook, G., ... Van Klinken, R. (2015). Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce. Biological Invasions, 17(11), 3197-3210. https://doi.org/10.1007/s10530-015-0945-9
    Martin, Tara ; Murphy, Helen ; Liedloff, Adam ; Thomas, Colette ; Chades, Iadine ; Cook, Garry ; Fensham, Roderick ; McIvor, John ; Van Klinken, Rieks. / Buffel grass and climate change : a framework for projecting invasive species distributions when data are scarce. In: Biological Invasions. 2015 ; Vol. 17, No. 11. pp. 3197-3210.
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    title = "Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce",
    abstract = "Invasive species pose a substantial risk to native biodiversity. As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand how species distributions are likely to change over time and space. For most species however, few data are available on their current distributions, let alone projected future distributions. We demonstrat the benefits of Bayesian Networks (BNs) for projecting distributions of invasive species under various climate futures, when empirical data are lacking. Using the introduced pasture species, buffel grass (Cenchrus ciliaris) in Australia as an example, we employ a framework by which expert knowledge and available empirical data are used to build a BN. The framework models the susceptibility and suitability of the Australian continent to buffel grass colonization using three invasion requirements; the introduction of plant propagules to a site, the establishment of new plants at a site, and the persistence of established, reproducing populations. Our results highlight the potential for buffel grass management to become increasingly important in the southern part of the continent, whereas in the north conditions are projected tobecome less suitable. With respect to biodiversity impacts, our modelling suggests that the risk of buffel grass invasion within Australia’s National Reserve System is likely to increase with climate change as a result of the high number of reserves located in the central and southern portion of the continent. In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions.",
    author = "Tara Martin and Helen Murphy and Adam Liedloff and Colette Thomas and Iadine Chades and Garry Cook and Roderick Fensham and John McIvor and {Van Klinken}, Rieks",
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    Martin, T, Murphy, H, Liedloff, A, Thomas, C, Chades, I, Cook, G, Fensham, R, McIvor, J & Van Klinken, R 2015, 'Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce', Biological Invasions, vol. 17, no. 11, pp. 3197-3210. https://doi.org/10.1007/s10530-015-0945-9

    Buffel grass and climate change : a framework for projecting invasive species distributions when data are scarce. / Martin, Tara; Murphy, Helen; Liedloff, Adam; Thomas, Colette; Chades, Iadine; Cook, Garry; Fensham, Roderick; McIvor, John; Van Klinken, Rieks.

    In: Biological Invasions, Vol. 17, No. 11, 11.2015, p. 3197-3210.

    Research output: Contribution to journalArticleResearchpeer-review

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    AU - Murphy, Helen

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    AU - Thomas, Colette

    AU - Chades, Iadine

    AU - Cook, Garry

    AU - Fensham, Roderick

    AU - McIvor, John

    AU - Van Klinken, Rieks

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    N2 - Invasive species pose a substantial risk to native biodiversity. As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand how species distributions are likely to change over time and space. For most species however, few data are available on their current distributions, let alone projected future distributions. We demonstrat the benefits of Bayesian Networks (BNs) for projecting distributions of invasive species under various climate futures, when empirical data are lacking. Using the introduced pasture species, buffel grass (Cenchrus ciliaris) in Australia as an example, we employ a framework by which expert knowledge and available empirical data are used to build a BN. The framework models the susceptibility and suitability of the Australian continent to buffel grass colonization using three invasion requirements; the introduction of plant propagules to a site, the establishment of new plants at a site, and the persistence of established, reproducing populations. Our results highlight the potential for buffel grass management to become increasingly important in the southern part of the continent, whereas in the north conditions are projected tobecome less suitable. With respect to biodiversity impacts, our modelling suggests that the risk of buffel grass invasion within Australia’s National Reserve System is likely to increase with climate change as a result of the high number of reserves located in the central and southern portion of the continent. In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions.

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    U2 - 10.1007/s10530-015-0945-9

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