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  • To Be Or Not to Be? Variable selection can change the projected fate of a threatened species under future climate

    Author(s)
    Harris, RMB
    Porfirio, LL
    Hugh, S
    Lee, G
    Bindoff, NL
    Mackey, B
    Beeton, NJ
    Griffith University Author(s)
    Mackey, Brendan
    Year published
    2013
    Metadata
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    Abstract
    Species distribution models (SDMs) are commonly used to project future changes in the geographic ranges of species, to estimate extinction rates and to plan biodiversity conservation. However, these models can produce a range of results depending on how they are parameterized, and over-reliance on a single model may lead to overconfidence in maps of future distributions. The choice of predictor variable can have a greater influence on projected future habitat than the range of climate models used. We demonstrate this in the case of the Ptunarra Brown Butterfly, a species listed as vulnerable in Tasmania, Australia. We use ...
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    Species distribution models (SDMs) are commonly used to project future changes in the geographic ranges of species, to estimate extinction rates and to plan biodiversity conservation. However, these models can produce a range of results depending on how they are parameterized, and over-reliance on a single model may lead to overconfidence in maps of future distributions. The choice of predictor variable can have a greater influence on projected future habitat than the range of climate models used. We demonstrate this in the case of the Ptunarra Brown Butterfly, a species listed as vulnerable in Tasmania, Australia. We use the Maxent model to develop future projections for this species based on three variable sets; all 35 commonly used so-called 'bioclimatic' variables, a subset of these based on expert knowledge, and a set of monthly climate variables relevant to the species' primary activity period. We used a dynamically downscaled regional climate model based on three global climate models. Depending on the choice of variable set, the species is projected either to experience very little contraction of habitat or to come close to extinction by the end of the century due to lack of suitable climate. The different conclusions could have important consequences for conservation planning and management, including the perceived viability of habitat restoration. The output of SDMs should therefore be used to define the range of possible trajectories a species may be on, and ongoing monitoring used to inform management as changes occur.
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    Journal Title
    Ecological Management & Restoration
    Volume
    14
    Issue
    3
    DOI
    https://doi.org/10.1111/emr.12055
    Subject
    Environmental sciences
    Ecological applications not elsewhere classified
    Environmental management
    Biological sciences
    Agricultural, veterinary and food sciences
    Publication URI
    http://hdl.handle.net/10072/56210
    Collection
    • Journal articles

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