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Dissecting the multi-scale spatial relationship of earthworm assemblages with soil environmental variability
Juan J Jiménez1, Thibaud Decaëns2, Patrick Lavelle3
1Department of Biodiversity Conservation and Ecosystem Restoration, Pyrenean Institute of Ecology (IPE), Spanish National Research Council (CSIC), Jaca (Huesca), ES-22700, Spain. jjimenez@ipe.csic.es.
Earthworm community structure is shaped by soil conditions across various scales, but biotic interactions and random events also play significant roles. Understanding these multi-scale spatial patterns is key to ecological studies.
Area of Science:
- Ecology
- Soil Science
- Community Ecology
Background:
- Species and community spatial patterns are driven by environmental constraints, species interactions, and colonization events.
- Understanding these drivers is crucial for ecological research.
- This study focuses on earthworm assemblages in a Colombian gallery forest.
Purpose of the Study:
- To analyze the role of multi-scale soil environmental variability in structuring earthworm assemblages.
- To disentangle spatial scales of earthworm assemblage structure and match them with soil environmental variables.
- To test the "single tree effect" on earthworm assemblages by examining root-related and soil variables.
Main Methods:
- Multivariate ordination techniques and spatially explicit tools were employed.
- Methods included cross-correlograms, Principal Coordinates of Neighbor Matrices (PCNM), and variation partitioning analyses.
- Variogram modeling was used to determine the scales of PCNM variables.
Main Results:
- Earthworm assemblages showed multi-scale responses to soil environmental parameters.
- Soil variables explained varying percentages (1-48%) of earthworm spatial variation across scales.
- Root traits correlated with high soil nutrient content at shallow depths (0-5 cm).
Conclusions:
- A significant portion of spatial variation in earthworm communities was not explained by soil environmental factors.
- This unexplained variation may be due to biotic interactions, stochastic processes, or unmeasured environmental variables.
- The findings highlight the complex, multi-faceted nature of ecological community structuring.
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