Detailed information for reference 17307

 Hooper, J.N.A., J.A. Kennedy, and R.J Quinn (2002) Biodiversity ‘hotspots’, patterns of richness and endemism, and taxonomic affinities of tropical Australian sponges (Porifera). Biodiversity and Conservation 11: 851–885.

 

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Reference ID 17307
Reference type journalarticle
Authors Hooper, J.N.A.
Kennedy, J.A.
Quinn, R.J
Publication Year (for display) 2002
Publication Year (for sorting) 2002
Title Biodiversity ‘hotspots’, patterns of richness and endemism, and taxonomic affinities of tropical Australian sponges (Porifera)
Secondary Title Biodiversity and Conservation
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Volume 11
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Pages 851–885
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Abstract
‘Hotspots’ of biodiversity (taxonomic richness, endemism, taxonomic affinities between communities) at small (a), medium (b) and larger (g) scales of diversity were examined for marine sponge populations throughout tropical and subtropical Australia, with the faunas of Vanuatu, Palau and Thailand used as outgroups for comparison. Spatial and numerical (ordination) models and hierarchic classifications delineated 37 b and 13 g scale faunas from 1343 investigated localities using a pool of 2324 species. The Australian taxonomic literature was ignored completely to avoid the many still unresolved taxonomic problems and to allow equal treatment of collecting localities. Richness and endemism varied considerably between marine areas, for species and genera at all spatial scales, with gradients strongly corroborated by hierarchic taxonomic relationships between faunas. Richness and endemism were equally effective indicators of biodiversity ‘hotspots’, whereas species-level vs. genuslevel data produced differing patterns, with the latter substantially underestimating biodiversity and marine area relationships, and consequently a poor ‘surrogate’ for species data. Patterns of taxa shared between adjacent areas were more informative than richness and endemism data alone, as they more accurately reflect the processes in these areas. Latitudinal gradients in sponge diversity were not evident, whereas various environmental factors were prominent at a scales and biogeographic factors were prominent at b and g scales of diversity. An example of a small (a) scale diversity fauna revealed substantial spatial heterogeneity (mean of 41 spp/ locality, 33% apparently endemic, and a total fauna of 226 spp) containing few ubiquitous species (40% or 78 spp), with adjacent reefs having relatively low faunal similarity (mean 33%). Faunas at the medium (b) scale of diversity were less heterogeneous (mean 127 spp/ region, 27% apparently endemic to a particular region, with a total fauna of 2324 spp), containing a significantly larger dataset (829 spp) found in .1 region to assess taxonomic affinities. At the larger (g) scale of diversity faunas were far more heterogeneous (mean 263 spp/ region, 47% apparently endemic to a particular region) containing a smaller dataset (only 588 spp or 26% of the fauna with .1 species / region) to assess taxonomic affinities. Consequently, sponge faunas at the a and g scales of diversity are ineffective and inappropriate as biodiversity models, respectively, with g scale diversity also less relevant as a practical tool for marine resource management and marine area conservation.
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Last Changed Wed Dec 5 10:57:42 2012