Vegetation classification in south-western Australia’s Mediterranean jarrah forest: new data, old units, and a conservation conundrum
Sarah Luxton A E , Grant Wardell-Johnson A , Ashley Sparrow B , Todd Robinson C , Lewis Trotter C and Andrew Grigg DA School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.
B Biodiversity Division, Environment and Climate Change Group, Department of Environment, Land, Water and Planning, PO Box 137, Heidelberg, Vic. 3084, Australia.
C School of Earth and Planetary Sciences, Curtin University, GPO Box U1987, Perth, 6845 WA, Australia.
D Department of Environmental Research, Alcoa of Australia Ltd, PO Box 172, Pinjarra, WA 6208, Australia.
E Corresponding author. Email: sarahjluxton@outlook.com
Australian Journal of Botany 69(7) 436-449 https://doi.org/10.1071/BT20172
Submitted: 6 January 2021 Accepted: 30 May 2021 Published: 28 July 2021
Journal Compilation © CSIRO 2021 Open Access CC BY
Abstract
Conservation reserve selection is guided by vegetation classification and mapping. New survey data and improvements in the availability of archived data through online data-sharing platforms enable updated classifications and the critique of existing conservation criteria. In the Northern Jarrah Forest Region of south-western Australia, percentage-based targets using ‘forest ecosystem units’ (15% of each unit) and the systematic conservation planning principles of ‘comprehensiveness, adequacy and representativeness’ underpin the State’s reserve network. To assess the degree of community-level heterogeneity within the forest ecosystem units, new survey data for the forest (30 000 plots) were classified using a non-hierarchical clustering algorithm. Results were assigned to the National Vegetation Information System, and community groups defined at the Association level (Level V). Significant community level heterogeneity was found, including 15 communities in the dominant ‘jarrah woodland’ unit, and 13 in the ‘shrub, herb and sedgelands’ unit. Overall, this research highlights limitations in the current reserve system, including the influence of scale on percentage-based targets and ‘representativeness’. A multi-scale approach to reserve selection, based on a quantitative, floristic, hierarchical classification system, would improve the level of scientific rigour underlying decision-making.
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