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dc.contributor.authorJiménez, Juan J.-
dc.contributor.authorDecaëns, Thibaud-
dc.contributor.authorLavelle, Patrick-
dc.contributor.authorRossi, Jean-Pierre-
dc.date.accessioned2015-01-16T08:43:58Z-
dc.date.available2015-01-16T08:43:58Z-
dc.date.issued2014-12-05-
dc.identifier.citationBMC Ecology 14: 26 (2014)es_ES
dc.identifier.issn1472-6785-
dc.identifier.urihttp://hdl.handle.net/10261/109422-
dc.description.abstract[Background] Studying the drivers and determinants of species, population and community spatial patterns is central to ecology. The observed structure of community assemblages is the result of deterministic abiotic (environmental constraints) and biotic factors (positive and negative species interactions), as well as stochastic colonization events (historical contingency). We analyzed the role of multi-scale spatial component of soil environmental variability in structuring earthworm assemblages in a gallery forest from the Colombian “Llanos”. We aimed to disentangle the spatial scales at which species assemblages are structured and determine whether these scales matched those expressed by soil environmental variables. We also tested the hypothesis of the “single tree effect” by exploring the spatial relationships between root-related variables and soil nutrient and physical variables in structuring earthworm assemblages. Multivariate ordination techniques and spatially explicit tools were used, namely cross-correlograms, Principal Coordinates of Neighbor Matrices (PCNM) and variation partitioning analyses.es_ES
dc.description.abstract[Results] The relationship between the spatial organization of earthworm assemblages and soil environmental parameters revealed explicitly multi-scale responses. The soil environmental variables that explained nested population structures across the multi-spatial scale gradient differed for earthworms and assemblages at the very-fine- (<10 m) to medium-scale (10–20 m). The root traits were correlated with areas of high soil nutrient contents at a depth of 0–5 cm. Information on the scales of PCNM variables was obtained using variogram modeling. Based on the size of the plot, the PCNM variables were arbitrarily allocated to medium (>30 m), fine (10–20 m) and very fine scales (<10 m). Variation partitioning analysis revealed that the soil environmental variability explained from less than 1% to as much as 48% of the observed earthworm spatial variation.-
dc.description.abstract[Conclusions] A large proportion of the spatial variation did not depend on the soil environmental variability for certain species. This finding could indicate the influence of contagious biotic interactions, stochastic factors, or unmeasured relevant soil environmental variables.-
dc.description.sponsorshipThis study was financed by the DIVERSITAS program and CIAT (Soils Unit). We are particularly grateful for the useful comments provided by R. J. Thomas and I. Rao and for the continuous support of soil ecology studies by E. Amézquita. We also gratefully acknowledge the help provided by field and lab research assistants at CIAT. We thank Dr. J. Perry at Rothamsted for kindly providing SADIE software and the ARAID foundation for support to the first author. We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI). Finally, we are grateful for the insightful comments and valuable suggestions provided by two reviewers, which improved an early version of the manuscript.-
dc.language.isoenges_ES
dc.publisherBioMed Centrales_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.titleDissecting the multi-scale spatial relationship of earthworm assemblages with soil environmental variabilityes_ES
dc.typeArtículoes_ES
dc.identifier.doi10.1186/s12898-014-0026-4-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1186/s12898-014-0026-4es_ES
dc.identifier.e-issn1472-6785-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0es_ES
dc.contributor.funderCSIC - Unidad de Recursos de Información Científica para la Investigación (URICI)-
dc.relation.csices_ES
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