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Spatial structure develops early in forest herb populations, controlled by dispersal and life cycle

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Abstract

Fine-scale spatial structure is an essential feature of plant populations, controlling pollination, herbivory, pathogen spread, and resource partitioning. Origins of spatial distribution are often obscure in long-established forests, but successional stands offer insight through their physical and compositional simplicity. We tested the hypothesis that spatial structure in forest herb populations arises through a nucleation process in which colonizing species transition from random to clustered distributions through clonal expansion, seed dispersal, and conformity to environmental gradients. Spatial structure was examined in a chronosequence of 40 s growth stands in southeast Ohio, USA. Herbaceous vegetation was recorded in nested plots to describe the evolution of pattern across multiple scales. Spatial distribution was described as the variance:mean ratio of stem number plot-1, and compared between age classes and functional groups. Environmental influence was assessed as the marginal R2 value of environmental models predicting stem number. Herb species responded individualistically to stand age and environmental gradients, although all were to some degree clustered across age classes. Dispersal-limited, non-clonal, and annual species were most strongly clustered, suggesting the importance of seed dispersal range and population growth rate in determining spatial structure. Spatial distribution was weakly related to environmental variables. Clustered distributions established early in succession and remained stable for at least 80 years. Pattern formation can be interpreted in terms of nucleation, as we hypothesized, but clusters form earlier than expected. The spatial structure of herb populations in deciduous forests appears to be governed by patterns established during colonization; environmental filtering appears to play a minor role.

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Acknowledgements

The authors acknowledge the Philadelphia Botanical Club and the Ohio Center for Ecology and Evolutionary Studies for funding, and the Ohio Department of Natural Resources for site access.

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Authors and Affiliations

Authors

Contributions

MAH and GRM conceived and designed the project; MAH collected and analyzed the data and led the writing of the manuscript. Both authors contributed critically to the drafts and gave final approval for publication.

Corresponding author

Correspondence to Marion A. Holmes.

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The authors declare that they have no conflict of interest.

Additional information

Communicated by Kendi Davies.

Appendices

Appendix 1

See Table 1.

Table 1 Forest herb species selected for spatial analysis at the 2 m scale

Appendix 2

See Fig. 5.

Fig. 5
figure 5

Variance:mean ratio (VMR) at the 1 m plot scale through time for herbaceous species in a chronosequence of post-agricultural forest stands. Values above 1 indicate clustering within sites, values of 1 indicate randomness, and values below 1 indicate a regular distribution. P values obtained through regression of VMR against stand age

Appendix 3

See Fig. 6.

Fig. 6
figure 6

Marginal R2 values for species abundance at the 1 m plot scale through time in a chronosequence of post-agricultural forest stands. Values represent the percentage of variance in abundance predicted by environmental variables; high R2 values indicate strong conformity to environmental gradients

Appendix 4

See Table 2.

Table 2 Individual species compared to environmental variables at the 2 m and 1 m plot scales

Appendix 5

See Table 3.

Table 3 Functional groups compared to environmental variables at the 2 m and 1 m plot scales

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Holmes, M.A., Matlack, G.R. Spatial structure develops early in forest herb populations, controlled by dispersal and life cycle. Oecologia 189, 951–970 (2019). https://doi.org/10.1007/s00442-019-04380-6

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  • DOI: https://doi.org/10.1007/s00442-019-04380-6

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