Multi-scale sampling boosts inferences from beta diversity patterns in coastal forests of South Africa

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dc.contributor.author Olivier, Pieter Ignatius
dc.contributor.author Van Aarde, Rudi J.
dc.date.accessioned 2015-07-31T12:45:20Z
dc.date.available 2015-07-31T12:45:20Z
dc.date.issued 2014-07
dc.description.abstract AIM : We used a hierarchical fractal-based sampling design to test how sampling scale influences i) beta diversity and ii) inferences on the modelled contribution of niche- versus dispersal-based assembly processes in structuring tree and bird assemblages. Location Coastal forest fragments, South Africa METHODS : We surveyed 103 tree and 267 bird points within eight forest fragments and partitioned beta diversity (βsor) into its turnover (βsim) and nestedness (βnes) components. We evaluated how sampling at fine, intermediate and coarse scales influenced beta diversity components and compared how tree and bird beta diversity respond to sampling grain variation. We then explored the relative contributions of niche- and dispersal based assembly processes in explaining spatial turnover as a function of sampling grain and/or study taxon by using multiple regression modelling on distance matrices and variance partitioning. RESULTS : Beta diversity (βsor) of trees and birds was mainly explained by spatial turnover (βsim) at all sampling scales. For both taxonomic groups, βsor and βsim decreased as sampling scale increased. Beta diversity differed among trees and birds at fine, but not at coarse sampling scales. Dispersalbased assembly processes were the best predictors of community assembly at fine scales, whereas niche-based assembly processes were the best predictors at coarse scales. Most of the variation in tree community composition was, however, explained at fine scales (by dispersal-based assembly processes), while most of the variation in bird community composition was explained at coarse scales (by niche-based assembly processes). MAIN CONCLUSIONS : Our study shows that inferences from beta diversity are scale dependent. By matching the grain of the data with the grain at which predictor variables and associated processes are likely to operate, multi-scale sampling approaches can improve biodiversity conservation and should be part of incentives directed at ecological sensible conservation plans. en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.sponsorship National Research Foundation, South African Department of Trade and Industry and Richards Bay Minerals. en_ZA
dc.description.uri http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2699 en_ZA
dc.identifier.citation Olivier, PI & Van Aarde, RJ 2014, 'Multi-scale sampling boosts inferences from beta diversity patterns in coastal forests of South Africa', Journal of Biogeography, vol. 41, no. 7, pp. 1428-1439. en_ZA
dc.identifier.issn 0305-0270 (print)
dc.identifier.issn 1365-2699 (online)
dc.identifier.other 10.1111/jbi.12303
dc.identifier.uri http://hdl.handle.net/2263/49210
dc.language.iso en en_ZA
dc.publisher Wiley en_ZA
dc.rights © John Wiley and Sons Ltd. This is the pre-peer reviewed version of the following article : Multi-scale sampling boosts inferences from beta diversity patterns in coastal forests of South Africa, Journal of Biogeography, vol. 41, no. 7, pp. 1428-1439, 2014. doi :10.1111/jbi.12303. The definite version is available at : http://onlinelibrary.wiley.comjournal/10.1111/(ISSN)1365-2699. en_ZA
dc.subject Conservation en_ZA
dc.subject Dispersal-based assembly en_ZA
dc.subject Dispersal limitation en_ZA
dc.subject Fractal sampling en_ZA
dc.subject Fragmentation en_ZA
dc.subject Nestedness en_ZA
dc.subject Niche-based assembly en_ZA
dc.subject Sørensen’s dissimilarity en_ZA
dc.subject Sampling scale en_ZA
dc.subject Spatial turnover en_ZA
dc.title Multi-scale sampling boosts inferences from beta diversity patterns in coastal forests of South Africa en_ZA
dc.type Postprint Article en_ZA


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