2010
DOI: 10.1111/j.1365-2699.2010.02352.x
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Tree diversity on islands: assembly rules, passive sampling and the theory of island biogeography

Abstract: Aim Species diversity is distributed heterogeneously through space, for reasons that are poorly understood. We tested three hypotheses to account for spatial variation in coniferous tree species diversity in a temperate island archipelago. The theory of island biogeography (ToIB) predicts that island area affects species diversity both directly (by increasing habitat diversity) and indirectly (by increasing abundances, which in turn reduce extinction rates). The ToIB also predicts that island isolation directl… Show more

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Cited by 18 publications
(23 citation statements)
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“…We therefore used path analysis with correlated causes (a structural equation model) to assess both direct and indirect effects of predictor variables according to an a priori model structure (Grace & Pugesek, , ; Li, ). Path analysis is particularly useful for distinguishing the effects of multiple collinear variables (e.g., habitat diversity and area per se) on multiple response variables (for similar applications, see Kohn & Walsh, ; Triantis, Mylonas, Weiser, Lika, & Vardinoyannis, ; Triantis et al., ; Sfenthourakis & Triantis, ; Burns et al., ). Multigroup path analysis, grouped by small and large island set, permitted comparisons of relationships between the two ranges of island sizes used in SLOSS‐based analyses.…”
Section: Methodsmentioning
confidence: 99%
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“…We therefore used path analysis with correlated causes (a structural equation model) to assess both direct and indirect effects of predictor variables according to an a priori model structure (Grace & Pugesek, , ; Li, ). Path analysis is particularly useful for distinguishing the effects of multiple collinear variables (e.g., habitat diversity and area per se) on multiple response variables (for similar applications, see Kohn & Walsh, ; Triantis, Mylonas, Weiser, Lika, & Vardinoyannis, ; Triantis et al., ; Sfenthourakis & Triantis, ; Burns et al., ). Multigroup path analysis, grouped by small and large island set, permitted comparisons of relationships between the two ranges of island sizes used in SLOSS‐based analyses.…”
Section: Methodsmentioning
confidence: 99%
“…Contrasting with the theory of island biogeography, the habitat amount hypothesis (Fahrig, ) replaces fragment area and isolation with a single predictor of species richness, total habitat area. Not unlike the passive sampling hypothesis, developed in the context of oceanic islands (Connor & McCoy, ), the habitat amount hypothesis uses the sample‐area effect to explain positive species–area relationships across isolated fragments: larger sample areas generally contain more individuals, belonging to more species (Burns, Berg, Bialynicka‐Birula, Kratchmer, & Shortt, ; Fahrig, ). In SLOSS terms, the sample‐area effect specifically predicts that single large and several small fragments will contain equivalent numbers of species when total area is held constant.…”
Section: Introductionmentioning
confidence: 99%
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“…all species are not functionally equivalent, as assumed by neutral models and IBT). Therefore, islands will have fewer observed species than expected based on the total number of individuals that they support (Burns et al, 2010).…”
mentioning
confidence: 94%
“…A variety of hypotheses have been proposed to explain the ISAR. First, the passive sampling hypothesis states that the number of species increases with island area due to large islands randomly sampling more individuals, and thus accumulating more species, from a pool of colonists than small islands (Burns, Berg, Bialynicka‐Birula, Kratchmer, & Shortt, ; Connor & Mccoy, ). Second, the habitat diversity hypothesis is based on the idea that larger islands have greater habitat diversity, which enables a greater range of habitat specialists to exist on an island (Bracewell, Clark, & Johnston, ; Gaston & Blackburn, ; Hortal, Triantis, Meiri, Thebault, & Sfenthourakis, ).…”
Section: Introductionmentioning
confidence: 99%