2007
DOI: 10.1007/s11258-007-9352-3
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Long-term changes in forest composition and diversity following early logging (1919–1923) and the decline of American chestnut (Castanea dentata)

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Cited by 153 publications
(127 citation statements)
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“…Fungi with harmless endophytic or symbiotic relationships with their co-evolved hosts may behave as severe pathogens in contact with evolutionary naïve hosts in introduced areas (Boyd et al 2013;Brasier 2008;Lovett et al 2006;Roy et al 2014;Santini et al 2013;Stukenbrock and McDonald 2008). Examples of pandemics caused by introduced fungi on keystone forest tree species include Chestnut blight (Elliott and Swank 2008) and Dutch elm disease (Brasier 2000).…”
Section: Introductionmentioning
confidence: 99%
“…Fungi with harmless endophytic or symbiotic relationships with their co-evolved hosts may behave as severe pathogens in contact with evolutionary naïve hosts in introduced areas (Boyd et al 2013;Brasier 2008;Lovett et al 2006;Roy et al 2014;Santini et al 2013;Stukenbrock and McDonald 2008). Examples of pandemics caused by introduced fungi on keystone forest tree species include Chestnut blight (Elliott and Swank 2008) and Dutch elm disease (Brasier 2000).…”
Section: Introductionmentioning
confidence: 99%
“…A more negative value for T indicates a stronger separation between groups (Elliott & Swank, 2008). The Sørenson (Bray-Curtis) index was used as a distance measure for the MRPP analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Different dimension reduction (ordination) techniques are commonly utilized to analyze multiple species in a community; these approaches include principal component analysis (PCA -Sagar et al 2003, Heiri et al 2009), correspondence analysis (CA - Pallardy et al 1988, Donnegan & Rebertus 1999, Woods 2000a, 2000b, and non-metric multidimensional scaling (NMDS -Philippi et al 1998, De Grandpre et al 2000, Woods 2000a, Schuler 2004, Lawrence et al 2005, Elliott & Swank 2008, Fule et al 2009). These techniques have been widely applied in community ecology, for which data are often characterized by scarcity (many zero values - Legendre & Legendre 1998).…”
Section: Introductionmentioning
confidence: 99%
“…In these cases, it is desirable to use all of the information available in the data, i.e., to use linear modeling, which can more powerfully explain community composition, dynamics, and species interactions (Billheimer et al 2001). Past studies utilized linear models to study shifts in dominant species composition, and each species was separately analyzed with repeated ANOVA or paired t-tests preceded by an arcsin square root transform of percentage data (Pallardy et al 1988, Elliott & Swank 2008, Pinto et al 2008). As will be discussed, the forest species composition is compositional by nature and demands an approach specific to these data.…”
Section: Introductionmentioning
confidence: 99%