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Disentangling facilitation and seed dispersal from environmental heterogeneity as mechanisms generating associations between savanna plants

  • Question: How can we disentangle facilitation and seed dispersal from environmental heterogeneity as mechanisms causing spatial associations of plant species? Location: Semi-arid savanna in the Kimberley Thorn Bushveld, South Africa. Methods: We developed a two-step protocol for the statistical differentiation of association-promoting mechanisms in plants based on the Acacia erioloba-Grewia flava association. Individuals of the savanna shrub G. flava and the tree A. erioloba were mapped on four study plots. Disentangling the mechanism causing the association of G. flava and A. erioloba involved tests of three spatial and one non-spatial null model. The spatial null models include homogeneous and heterogeneous Poisson processes for spatial randomness based on the bivariate spatial point patterns of the four plots. With the non-spatial analysis, we determined the relationship between the canopy diameter of A. erioloba trees and presence or absence of G. flava shrubs in the tree understorey to find whether shrub presence requires aQuestion: How can we disentangle facilitation and seed dispersal from environmental heterogeneity as mechanisms causing spatial associations of plant species? Location: Semi-arid savanna in the Kimberley Thorn Bushveld, South Africa. Methods: We developed a two-step protocol for the statistical differentiation of association-promoting mechanisms in plants based on the Acacia erioloba-Grewia flava association. Individuals of the savanna shrub G. flava and the tree A. erioloba were mapped on four study plots. Disentangling the mechanism causing the association of G. flava and A. erioloba involved tests of three spatial and one non-spatial null model. The spatial null models include homogeneous and heterogeneous Poisson processes for spatial randomness based on the bivariate spatial point patterns of the four plots. With the non-spatial analysis, we determined the relationship between the canopy diameter of A. erioloba trees and presence or absence of G. flava shrubs in the tree understorey to find whether shrub presence requires a minimum tree canopy diameter. Results: We first showed a significant positive spatial association of the two species. Thereafter, the non-spatial analysis supported an exclusion of environmental heterogeneity as the sole cause of this positive association. We found a minimum tree size under which no G. flava shrubs occurred. Conclusions: Our two-step analysis showed that it is unlikely that heterogeneous environmental conditions caused the spatial association of A. erioloba and G. flava. Instead, this association may have been caused by seed dispersal and/or facilitation (e.g. caused by hydraulic lift and/or nitrogen fixation by the host tree).zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Jana Schleicher, Katrin M. MeyerORCiDGND, Kerstin WiegandORCiDGND, Frank Martin SchurrGND, David Ward
DOI:https://doi.org/10.1111/j.1654-1103.2011.01310.x
ISSN:1100-9233
Titel des übergeordneten Werks (Englisch):Journal of vegetation science
Verlag:Wiley-Blackwell
Verlagsort:Malden
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2011
Erscheinungsjahr:2011
Datum der Freischaltung:26.03.2017
Freies Schlagwort / Tag:Acacia erioloba; Grewia flava; Plant interactions; Spatial association; Wiegand-Moloney O-ring statistics
Band:22
Ausgabe:6
Seitenanzahl:11
Erste Seite:1038
Letzte Seite:1048
Fördernde Institution:Deutsche Forschungsgemeinschaft (DFG); International Max-Planck Research School; A.F.W. Schimper Foundation; Studienstiftung des deutschen Volkes; National Research Foundation (South Africa)
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer Review:Referiert
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