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Variation partitioning as a tool to distinguish between niche and neutral processes
Abstract
We assess the potential of different forms of variation partitioning to distinguish between environmental control and dispersal limitation in communities structured by combinations of niche and neutral processes. Simulation data reveal interactions between dispersal limitation, environmental control, and the spatial structure of environmental factors in the detected levels of variance fractions. The degree of dispersal limitation contributes to both the pure environmental and pure spatial variance partitions. This undermines the common practice of interpreting these partitions as direct expressions of niche and neutral processes, respectively. Furthermore, the proportion of variation attributed to environmental variation depends not only on the strength of environmental control, but also on the specific spatial configuration of the environmental variable. This has important implications for the interpretation of empirical studies. In particular, use of these analytical techniques to compare processes governing community structure among different study systems is unwarranted, as the results will reflect not only differences in the strength of the processes of interest, but also the influence of the unique spatial arrangement of the environmental variables in each system.
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Cites
Mechanisms of Maintenance of Species Diversity
Chesson, P. (2000) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.31.1.343 · Cited by 6,645
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Zhou, J., & Ning, D. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00002-17 · Cited by 2,773
Amazonia Through Time: Andean Uplift, Climate Change, Landscape Evolution, and Biodiversity
Hoorn, C., Wesselingh, F. P., ter Steege, H., Bermudez, M. A., Mora, A., Sevink, J., Sanmartín, I., Sanchez-Meseguer, A., Anderson, C. L., Figueiredo, J. P., et al. (2010) · Science · doi:10.1126/science.1194585 · Cited by 2,404
Chen, W., Ren, K., Isabwe, A., Chen, H., Liu, M., & Yang, J. (2019) · Microbiome · doi:10.1186/s40168-019-0749-8 · Cited by 804
Myers, J. A., Chase, J. M., Jiménez, I., Jørgensen, P. M., Araujo‐Murakami, A., Paniagua‐Zambrana, N., & Seidel, R. (2013) · Ecology Letters · doi:10.1111/ele.12021 · Cited by 470
Metadata
- Authors
- Smith, T. W., & Lundholm, J. T.
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2010-04-09
- Volume
- 33
- Issue
- 4
- Pages
- 648-655
- ISSN
- 0906-7590 (ISSN-L)
- 1600-0587
- OpenAlex
- W2096315163
- Cited by
- 362
- References
- 1
- FWCI
- 18.87
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.