2012
DOI: 10.3897/neobiota.12.2419
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Geographical, socioeconomic, and ecological determinants of exotic plant naturalization in the United States: insights and updates from improved data

Abstract: Previous studies on alien species establishment in the United States and around the world have drastically improved our understanding of the patterns of species naturalization, biological invasions, and underlying mechanisms. Meanwhile, relevant new data have been added and the data quality has significantly increased along with the consistency of related concepts and terminology that are being developed. Here using new and/or improved data on the native and exotic plant richness and many socioeconomic and phy… Show more

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Cited by 24 publications
(29 citation statements)
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“…Therefore, the neighborhood for our analyses was defined as a given hexagon and its six bordering hexagons. This pattern of localized spatial autocorrelation agrees with the finding that the spatial autoregressive processes contributing to macroscale invasion patterns occur at more localized scales (Guo et al , Iannone et al ).…”
Section: Methodssupporting
confidence: 90%
“…Therefore, the neighborhood for our analyses was defined as a given hexagon and its six bordering hexagons. This pattern of localized spatial autocorrelation agrees with the finding that the spatial autoregressive processes contributing to macroscale invasion patterns occur at more localized scales (Guo et al , Iannone et al ).…”
Section: Methodssupporting
confidence: 90%
“…Models were run both at the ecological division level (n = 5 random effects) and at the ecological section level (n = 91 random effects). Assuming independence among ecological sections/divisions was reasonable, as plots within a given section/division are more similar to one another with regards to a wide range of abiotic and biotic conditions than to plots within other sections/divisions (Cleland et al 1997), and because spatial autocorrelative processes contributing to macroscale invasion patterns likely occur at distances smaller than the sizes of ecological sections and divisions (Guo et al 2012;Iannone et al 2015). Calculating slopes estimates separately for each ecological section also controlled for variability among ecological sections with regards to the timing of invasive plant data collection.…”
Section: Resultsmentioning
confidence: 99%
“…Identifying the factors that contribute to the spatial heterogeneity in invadernative association magnitude and direction is clearly needed. Again, investigating those factors already known to affect macroscale invasion patterns such as propagule pressure, disturbance, or socioeconomic factors (Lockwood et al 2005;Gavier-Pizarro et al 2010;Pyšek et al 2010;Guo et al 2012;Liebhold et al 2013) may be of great utility. Future studies may benefit by incorporating smaller units of heterogeneity, as doing so may help to detect more fine-scale patterns and the threshold of heterogeneity at which understanding is maximized.…”
Section: Future Directionsmentioning
confidence: 98%
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“…Third, we found the need to account for spatial autocorrelation. Our preliminary analyses, however, by revealing the most appropriate neighbourhood distance to be 1 degree, suggest the majority of spatial autocorrelation contributing to macroscale invasion patterns occurs at relatively small scales, that is within a few‐county radius, a hypothesis supported by a recent study into patterns of exotic plant invasions having states as the sample unit (Guo et al ., ). Of course closer inspection of individual variables is needed to determine those to which this pattern applies.…”
Section: Discussionmentioning
confidence: 97%