2002
DOI: 10.1046/j.1523-1739.2002.00552.x
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Use of Indicator Species to Assess Forest Continuity: a Critique

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Cited by 82 publications
(47 citation statements)
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“…Indicator species analysis (ISA) was applied to assess the preferences of species per area (Rolstad et al, 2002) and to verify that the β diversity among the areas relates to the differences in the composition of species and their densities, reflecting the floristic dissimilarity, as suggested by Magurran (1988), using the TWINSPAN method of classification of vegetation (Two-way Indicator Species Analysis) (KENT, COKER, 1992). After the refinement of the analysis, cut points were adopted as 0-2, 2-5, 5-10, 10-20 and >100 individuals.…”
Section: Methodsmentioning
confidence: 99%
“…Indicator species analysis (ISA) was applied to assess the preferences of species per area (Rolstad et al, 2002) and to verify that the β diversity among the areas relates to the differences in the composition of species and their densities, reflecting the floristic dissimilarity, as suggested by Magurran (1988), using the TWINSPAN method of classification of vegetation (Two-way Indicator Species Analysis) (KENT, COKER, 1992). After the refinement of the analysis, cut points were adopted as 0-2, 2-5, 5-10, 10-20 and >100 individuals.…”
Section: Methodsmentioning
confidence: 99%
“…The first substantial critique of the use of indicator species to assess local stand continuity in forests was posed by Nordén & Appelqvist (2001) and Rolstad et al (2002). The critique did not only point to the lack of evidence in previously proposed indicator schemes, but also pointed out that the concept of forest continuity is complex, and not always well defined.…”
Section: Critique and Testing Of Proposed Surrogate Schemesmentioning
confidence: 99%
“…Indicator species are species that represent environmental and biological conditions (Rolstad et al, 2002). Table 3 shows the indicator species with significance level lower than 0.001% (*** P< 0.001).…”
Section: Beta Diversitymentioning
confidence: 99%