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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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The scoring from each system is very different, including both numerical and categorical ranks <strong>of</strong> differentscales. To compare effective scales and variation within and among the systems and to gauge how robust the fivesystems, we standardized invasiveness scores by dividing scores <strong>of</strong> each species by that <strong>of</strong> Polygonum cuspidatum,a species perceived to be one <strong>of</strong> the most invasive to natural habitats in <strong>Alaska</strong> by the authors1. A discrete numericalsystem was created <strong>for</strong> nominal categorical systems (e.g., “not invasive” = 0, “low invasiveness” = 1, “mediuminvasiveness” = 2, etc.). Additionally we graphically compared levels <strong>of</strong> variation among the scores and assessors<strong>for</strong> three species commonly believed to represent different levels <strong>of</strong> invasiveness: high (Polygonum cuspidatum),intermediate (Sorbus aucuparia), and low (Matricaria discoidea). To allow comparisons among the species westandardized scores relative to the maximum score possible <strong>for</strong> each system.Two <strong>of</strong> us (M.L. Carlson and I.V. Lapina) produced a draft ranking system that was evaluated in a similar mannerto the four existing ones. Scores were given in response to a series <strong>of</strong> questions and used to calculate subcategory(i.e., ecology, biology, distribution, and control) and final scores. The results section discusses the <strong>for</strong>mat and justifications<strong>for</strong> the questions. We then modified the draft <strong>Alaska</strong> system with input from all authors. Additionally,we included a climate screening procedure that is described in the results section.Similarities among the five systems in the ranks <strong>of</strong> the 12 test species were compared using hierarchical clusteranalysis in SPSS Base 9.0. All invasiveness scores were standardized to the potential maximum <strong>for</strong> each systemand squared Euclidean distances were used to generate the distance matrix <strong>for</strong> the cluster analysis.To determine which sections (ecology, biology, distribution, and control) in the <strong>Alaska</strong> system had greater explanatorypower, we explored the relationship <strong>of</strong> each <strong>of</strong> four section scores to overall invasiveness. We producedscores <strong>for</strong> all sections and overall invasiveness based on a consensus <strong>of</strong> the authors <strong>for</strong> all species. Spearman rankcorrelation coefficients were produced <strong>for</strong> all sections and overall invasiveness. Additionally, we removed thesectional component to invasiveness <strong>for</strong> each section comparison to avoid autocorrelation <strong>for</strong> this analysis (e.g.,overall invasiveness–ecology score was used in comparing to the ecology score and overall invasiveness–biologyscore was used in comparing to the biology score). R2 values were calculated <strong>for</strong> each sectional score relativeto the corrected invasiveness. Not all questions in the sectional scores were answered and these scores were removedfrom the analysis.Following the construction <strong>of</strong> the invasiveness ranking system <strong>for</strong> <strong>Alaska</strong>, we proceeded to rank 95 species presentin <strong>Alaska</strong> and 18 potential future invaders. The species were chosen to encompass all perceived degrees <strong>of</strong>invasiveness and distributions in <strong>Alaska</strong>, including the species considered to be the most invasive already presentin the state and the most threatening potential future invaders (the ranks are presented in Appendix B). Taxa thatare believed to have been absent from <strong>Alaska</strong> prior to European contact are considered “non-native.” We rank afew species that may have been present in the region <strong>for</strong> centuries in small populations (e.g., Phalaris arundinaceaat hot springs sites in interior <strong>Alaska</strong>), but have recently expanded their ranges and abundances dramatically andare now most likely combinations <strong>of</strong> Eurasian and North American genotypes. We included notes on nativity <strong>for</strong>all species with questionable origins.Short species biographies, initial scores, and documentation were produced based on literature reviews. For verysimilar congeneric species (e.g., Rumex crispus, R. longifolius, and R. obtusifolius), a single score was given to thegroup <strong>of</strong> species. Scores and documentation were then added or altered by the coauthors. Upon completion <strong>of</strong>the 113 scores the committee reevaluated each species relative to the others to ensure consistency in scoring,identify potential mistakes, and include new observations or documentation.1 Polygonum xbohemicum and P. sachalinense are more widespread in southeastern <strong>Alaska</strong> and appear to be more robust and ecologicallythreatening, but their documentation in the literature is weaker than P. cuspidatum. We expect that much <strong>of</strong> the literature has not distinguishedamong species and lumped the three taxa under P. cuspidatum (see Zika and Jacobson, 2003).5

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