A biogeographical regionalization of Australian Acacia species

Carlos GONZALEZ-OROZCO, Shawn W. Laffan, Nunzio Knerr, Joseph Miller

    Research output: Contribution to journalArticle

    30 Citations (Scopus)

    Abstract

    Aim To develop a biogeographical regionalization of Australian Acacia species and to investigate their environmental correlates. Location Australia. Methods We used a previously published framework for delineating biogeographical regions. We calculated species turnover patterns of 1020 Australian Acacia species with distributions estimated from 171,758 georeferenced herbarium records aggregated to 100 km 9 100 km cells (868 across Australia). An agglomerative cluster analysis using a matrix of pairwise Simpson’s beta (bsim) dissimilarity values was applied. Eleven environmental variables at the same resolution as the aggregated herbarium records were used to explore the correlates of the bsim patterns using a non-metric multidimensional scaling (NMDS) analysis. We also used an ANOVA to test the significance of the environmental changes between each pair of biogeographical regions. Results Five major Acacia biogeographical regions were proposed. These bioregions were broadly similar to the biomes of Australia. A new subdivision of the Eremaean biome was proposed for Acacia. The most influential environmental variables for the individual bioregions were: (1) temperature seasonality and topographic flatness for the south-western temperate bioregion; (2) precipitation during the coldest quarter of the year for the south-eastern temperate bioregion; (3) annual precipitation, annual mean temperature and precipitation seasonality for the monsoonal bioregion; and (4) percentage of sand in the top 30 cm of the soil, rock grain size, annual mean radiation and annual mean temperature for the Eremaean south and north regions. The NMDS analysis provided support for the observed biogeographical patterns. The statistical test showed a highly significant difference between the environments of the proposed bioregions. Climatic variables were consistent predictors across regions, whereas the influence of soils and topographic features varied among bioregions. Main conclusions The major Acacia biogeographical regions correspond well to historical bioregionalizations, suggesting that the environmental drivers of diversification in Acacia are broadly similar to those that act on the flora as a whole. Climate seasonality combined with annual values and non-climatic factors provide support for the proposed biogeographical regionalization for Acacia.
    Original languageEnglish
    Pages (from-to)2156-2166
    Number of pages11
    JournalJournal of Biogeography
    Volume40
    DOIs
    Publication statusPublished - 2013

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    biogeographical region
    regionalization
    Acacia
    seasonality
    herbarium
    biome
    temperature
    herbaria
    cluster analysis
    environmental change
    turnover
    flora
    grain size
    soil
    environmental factors
    ecosystems
    matrix
    sand
    climate
    rock

    Cite this

    GONZALEZ-OROZCO, C., Laffan, S. W., Knerr, N., & Miller, J. (2013). A biogeographical regionalization of Australian Acacia species. Journal of Biogeography, 40, 2156-2166. https://doi.org/10.1111/jbi.12153
    GONZALEZ-OROZCO, Carlos ; Laffan, Shawn W. ; Knerr, Nunzio ; Miller, Joseph. / A biogeographical regionalization of Australian Acacia species. In: Journal of Biogeography. 2013 ; Vol. 40. pp. 2156-2166.
    @article{9881f2dd87174054b6f2f4b349d33aaf,
    title = "A biogeographical regionalization of Australian Acacia species",
    abstract = "Aim To develop a biogeographical regionalization of Australian Acacia species and to investigate their environmental correlates. Location Australia. Methods We used a previously published framework for delineating biogeographical regions. We calculated species turnover patterns of 1020 Australian Acacia species with distributions estimated from 171,758 georeferenced herbarium records aggregated to 100 km 9 100 km cells (868 across Australia). An agglomerative cluster analysis using a matrix of pairwise Simpson’s beta (bsim) dissimilarity values was applied. Eleven environmental variables at the same resolution as the aggregated herbarium records were used to explore the correlates of the bsim patterns using a non-metric multidimensional scaling (NMDS) analysis. We also used an ANOVA to test the significance of the environmental changes between each pair of biogeographical regions. Results Five major Acacia biogeographical regions were proposed. These bioregions were broadly similar to the biomes of Australia. A new subdivision of the Eremaean biome was proposed for Acacia. The most influential environmental variables for the individual bioregions were: (1) temperature seasonality and topographic flatness for the south-western temperate bioregion; (2) precipitation during the coldest quarter of the year for the south-eastern temperate bioregion; (3) annual precipitation, annual mean temperature and precipitation seasonality for the monsoonal bioregion; and (4) percentage of sand in the top 30 cm of the soil, rock grain size, annual mean radiation and annual mean temperature for the Eremaean south and north regions. The NMDS analysis provided support for the observed biogeographical patterns. The statistical test showed a highly significant difference between the environments of the proposed bioregions. Climatic variables were consistent predictors across regions, whereas the influence of soils and topographic features varied among bioregions. Main conclusions The major Acacia biogeographical regions correspond well to historical bioregionalizations, suggesting that the environmental drivers of diversification in Acacia are broadly similar to those that act on the flora as a whole. Climate seasonality combined with annual values and non-climatic factors provide support for the proposed biogeographical regionalization for Acacia.",
    keywords = "Australia, biomes, bioregions, environmental drivers, ordination, plants, species turnover, bsim.",
    author = "Carlos GONZALEZ-OROZCO and Laffan, {Shawn W.} and Nunzio Knerr and Joseph Miller",
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    GONZALEZ-OROZCO, C, Laffan, SW, Knerr, N & Miller, J 2013, 'A biogeographical regionalization of Australian Acacia species', Journal of Biogeography, vol. 40, pp. 2156-2166. https://doi.org/10.1111/jbi.12153

    A biogeographical regionalization of Australian Acacia species. / GONZALEZ-OROZCO, Carlos; Laffan, Shawn W.; Knerr, Nunzio; Miller, Joseph.

    In: Journal of Biogeography, Vol. 40, 2013, p. 2156-2166.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - A biogeographical regionalization of Australian Acacia species

    AU - GONZALEZ-OROZCO, Carlos

    AU - Laffan, Shawn W.

    AU - Knerr, Nunzio

    AU - Miller, Joseph

    PY - 2013

    Y1 - 2013

    N2 - Aim To develop a biogeographical regionalization of Australian Acacia species and to investigate their environmental correlates. Location Australia. Methods We used a previously published framework for delineating biogeographical regions. We calculated species turnover patterns of 1020 Australian Acacia species with distributions estimated from 171,758 georeferenced herbarium records aggregated to 100 km 9 100 km cells (868 across Australia). An agglomerative cluster analysis using a matrix of pairwise Simpson’s beta (bsim) dissimilarity values was applied. Eleven environmental variables at the same resolution as the aggregated herbarium records were used to explore the correlates of the bsim patterns using a non-metric multidimensional scaling (NMDS) analysis. We also used an ANOVA to test the significance of the environmental changes between each pair of biogeographical regions. Results Five major Acacia biogeographical regions were proposed. These bioregions were broadly similar to the biomes of Australia. A new subdivision of the Eremaean biome was proposed for Acacia. The most influential environmental variables for the individual bioregions were: (1) temperature seasonality and topographic flatness for the south-western temperate bioregion; (2) precipitation during the coldest quarter of the year for the south-eastern temperate bioregion; (3) annual precipitation, annual mean temperature and precipitation seasonality for the monsoonal bioregion; and (4) percentage of sand in the top 30 cm of the soil, rock grain size, annual mean radiation and annual mean temperature for the Eremaean south and north regions. The NMDS analysis provided support for the observed biogeographical patterns. The statistical test showed a highly significant difference between the environments of the proposed bioregions. Climatic variables were consistent predictors across regions, whereas the influence of soils and topographic features varied among bioregions. Main conclusions The major Acacia biogeographical regions correspond well to historical bioregionalizations, suggesting that the environmental drivers of diversification in Acacia are broadly similar to those that act on the flora as a whole. Climate seasonality combined with annual values and non-climatic factors provide support for the proposed biogeographical regionalization for Acacia.

    AB - Aim To develop a biogeographical regionalization of Australian Acacia species and to investigate their environmental correlates. Location Australia. Methods We used a previously published framework for delineating biogeographical regions. We calculated species turnover patterns of 1020 Australian Acacia species with distributions estimated from 171,758 georeferenced herbarium records aggregated to 100 km 9 100 km cells (868 across Australia). An agglomerative cluster analysis using a matrix of pairwise Simpson’s beta (bsim) dissimilarity values was applied. Eleven environmental variables at the same resolution as the aggregated herbarium records were used to explore the correlates of the bsim patterns using a non-metric multidimensional scaling (NMDS) analysis. We also used an ANOVA to test the significance of the environmental changes between each pair of biogeographical regions. Results Five major Acacia biogeographical regions were proposed. These bioregions were broadly similar to the biomes of Australia. A new subdivision of the Eremaean biome was proposed for Acacia. The most influential environmental variables for the individual bioregions were: (1) temperature seasonality and topographic flatness for the south-western temperate bioregion; (2) precipitation during the coldest quarter of the year for the south-eastern temperate bioregion; (3) annual precipitation, annual mean temperature and precipitation seasonality for the monsoonal bioregion; and (4) percentage of sand in the top 30 cm of the soil, rock grain size, annual mean radiation and annual mean temperature for the Eremaean south and north regions. The NMDS analysis provided support for the observed biogeographical patterns. The statistical test showed a highly significant difference between the environments of the proposed bioregions. Climatic variables were consistent predictors across regions, whereas the influence of soils and topographic features varied among bioregions. Main conclusions The major Acacia biogeographical regions correspond well to historical bioregionalizations, suggesting that the environmental drivers of diversification in Acacia are broadly similar to those that act on the flora as a whole. Climate seasonality combined with annual values and non-climatic factors provide support for the proposed biogeographical regionalization for Acacia.

    KW - Australia

    KW - biomes

    KW - bioregions

    KW - environmental drivers

    KW - ordination

    KW - plants

    KW - species turnover

    KW - bsim.

    U2 - 10.1111/jbi.12153

    DO - 10.1111/jbi.12153

    M3 - Article

    VL - 40

    SP - 2156

    EP - 2166

    JO - Journal of Biogeography

    JF - Journal of Biogeography

    SN - 0305-0270

    ER -