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Invasiveness Ranking System for Non-Native Plants of Alaska

Invasiveness Ranking System for Non-Native Plants of Alaska

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ResultsThe four existing systems, Invasive Exotic Plant Species in Virginia (Heffernan et al. 2001), Cali<strong>for</strong>nia Exotic PestPlant Council (Warner et al. 2003), the Australian AQIS Weed Risk Assessment <strong>System</strong> (Pheloung et al. 1999),and Southwest Exotic Species <strong>Ranking</strong> <strong>System</strong> (Hiebert and Stubbendieck 1993) all evaluate taxa in roughlysimilar categories <strong>of</strong> ecosystem alteration, community alteration, biological characteristics, and ease <strong>of</strong> control.The Virginia, Cali<strong>for</strong>nia, and Southwest systems all require site specific data and are difficult to evaluate <strong>for</strong>broader regions. In addition to relying on biogeographical in<strong>for</strong>mation, the Cali<strong>for</strong>nia system requires populationtrend data that are not available <strong>for</strong> <strong>Alaska</strong>. For all systems, many characters that are traditionally associated withinvasiveness, such as invasive elsewhere and breadth <strong>of</strong> native distribution are given little weight relative to lessrelevant characters. We recognized that none <strong>of</strong> the systems appear to handle unknown or ambiguous in<strong>for</strong>mationwell. For most systems missing in<strong>for</strong>mation resulted in lower scores. Poorly known species should not beconsidered a priori to be less invasive. The scoring <strong>for</strong> the Australian and the Cali<strong>for</strong>nia systems is not intuitive,requiring the use <strong>of</strong> look-up tables and scoring matrices. The outputs <strong>of</strong> most systems are categorical (i.e., high,medium, low invasiveness), resulting in an overly simplified rank and loss <strong>of</strong> potential in<strong>for</strong>mation. No systemused climatic or known habitat in<strong>for</strong>mation to screen species from consideration; however, the Australian systemdoes score species on suitability to Australian climates (2 points out <strong>of</strong> approximately 50 total points).Overall, the existing systems and newly derived <strong>Alaska</strong> system were positively correlated in the relative ranks <strong>of</strong>the 12 test species (not shown). Despite the Southwest system’s reliance on site data, its species ranks were verysimilar to those <strong>of</strong> the <strong>Alaska</strong> system (figure 2). The Virginia and Cali<strong>for</strong>nia systems were more weakly clusteredwith the <strong>Alaska</strong> and Southwest systems. The most distantly related system to the others was Australian. The poorrelationship among the Australian system scores and those <strong>of</strong> the other systems stems from a greater emphasis onagricultural impacts and specific ecological concerns (e.g., “causes a fire hazard”) <strong>of</strong> the Australian system.Figure 2. Dendrogram based on hierarchical cluster analysis representing similaritiesamong five invasiveness ranking systems 12 non-native species ranksSWEPAKVTNCCALAQISRescaled Distance0 5 10 15 20 25<strong>System</strong>s that ranked the same species most similarly are more closely joined (lower rescaled distance value). The cluster analysis used squaredEuclidean distances in the distance matrix. SWEP = Southwest Exotic Species <strong>Ranking</strong> <strong>System</strong>, AK = <strong>Alaska</strong> <strong>Invasiveness</strong> <strong>Ranking</strong> <strong>System</strong>,VTNC = Invasive Exotic Plant Species in Virginia, CAL = Cali<strong>for</strong>nia Exotic Pest Plant Council, AQIS = Australia Weed Risk Assessment <strong>System</strong>.6

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