Gansfort, Birgit; Traunspurger, Walter: Environmental factors and river network position allow prediction of benthic community assemblies: A model of nematode metacommunities. In: Scientific Reports. Jg.9 H. 1. 2019
Inhalt
- Sampling sites.
- Sample processing.
- Variable selection.
- Calculation of a sediment-quality-based index.
- Nematode community.
- Figure 1 Map of the sampling sites (black points) within the Elbe (left) and Rhine (right) river systems.
- Table 1 Summary statistics of the physical, ecotoxicological, and spatial variables and of the elements from 115 samples from the Elbe river system and 59 samples from the Rhine river system.
- Boosted regression tree (BRT) analysis.
- Using the Elbe model to predict the Rhine data.
- Ethical approval.
- Results
- Figure 2 NMDS plots of nematode presence/absence (a) and abundance (b) data from 115 Elbe (triangles) and 59 Rhine (circles) samples.
- Table 2 Ten most common nematode species of the 115 Elbe and 59 Rhine samples numbers in parenthesis means species that are not within the ten most common of the respective river system.
- Discussion
- Figure 3 The relative influences of several predictors on nematode community similarities based on (a) presence/absence data and (b) abundance data determined using boosted regression tree models.
- Species sorting as a key driver of nematode metacommunity structure.
- Shifts in the role of predictors for p/a vs abundance data.
- Watercourse distance is more important than Euclidean distance.
- Applicability of the model to the Rhine river system.
- Conclusion
- Acknowledgements