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Spatial extent of invasiveness and invasion stage categorisation of established weeds of Queensland, Australia

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Osunkoya, O. O., Lock, C., Buru, J. C., Gray, B. and Calvert, M. (2020) Spatial extent of invasiveness and invasion stage categorisation of established weeds of Queensland, Australia. Australian Journal of Botany, 68 (8).

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Article Link: https://doi.org/10.1071/BT20066

Publisher URL: https://www.publish.csiro.au/paper/BT20066


The risk posed by invasive alien species is determined primarily by two factors: distribution (occupancy) and abundance (density). However, most ecological studies use distribution data for monitoring and assessment programs, but few incorporate abundance data due to financial and logistical constraints. Failure to take into account invaders’ abundance may lead to imprecise pest risk assessments. Since 2003 as part of the Annual Pest Distribution Survey (APDS) exercise in the state of Queensland, Australia, government biosecurity officials have collected data on distribution and abundance of more than 100 established and emerging weeds. This data acquisition was done at spatial grid sizes of 17–50 × 17–50 km and across a very broad and varied geographical land area of ~2 × 106 km2. The datasets provide an opportunity to compare weed dynamics at large-medium spatial scales. Analysis of the APDS datasets indicated that weed distributions were highest in regions along the southern and central, coastal parts of Queensland, and decreased in the less populated inland (i.e. western) and northern parts of the state. Weed abundance showed no discernible landscape or regional trends. Positive distribution–abundance relationships were also detected at multiple spatial scales. Using both traits of weed abundance and distribution, we derived a measure of invasion severity, and constructed, for several (64) weed species, ‘space-for-time’ invasion curves. State-wide and in each of Queensland’s 10 regions, we also categorised the invasion stages of these weeds. At the grassroots of local government area or regional levels, the derived invasion curves and stage categories can provide policy direction for long-term management planning of Queensland’s priority weeds.

Item Type:Article
Business groups:Biosecurity Queensland
Keywords:Keywords: abundance–distribution relationship, invasion curve, life-history traits, pest risk assessment, spatial scale, Queensland, weeds.
Subjects:Science > Invasive Species > Plants > Impact assessment
Science > Invasive Species > Plants > Weed ecology
Plant pests and diseases
Plant pests and diseases > Weeds, parasitic plants etc
Live Archive:07 Dec 2020 00:17
Last Modified:03 Sep 2021 16:46

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