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Community Ecology

, Volume 4, Issue 2, pp 141–156 | Cite as

Quantifying secondary succession: a method for all sites?

  • S. E. BlattEmail author
  • J. A. Janmaat
  • R. Harmsen
Article

Abstract

Quantifying and documenting succession has been a challenge to ecologists for many years. A variety of measures have been generated but do not seem to have been widely adopted. We propose the use of an intuitive and quantifiable measure that is amenable to both model building and hypothesis testing, and apply the method to a long-term, ongoing succession project in southeastern Ontario. We compare our measure with turnover rate (Diamond 1969) and lambda (Shugart and Hett 1973). We found that although these measures can determine when change within the community is occurring, the nature of this change and the resultant composition of the community is not readily gleaned from the measure. Our measure, by grouping plants as either ‘early’ or ‘late’, allows the relative composition of the community to be understood with a single number. The benefit of using an aggregate measure such as ours, is that a variety of questions can be examined, such as ‘when will a community revert to its original composition following fire?’ As an example, we utilized our measure on a post-fire succession data set from northern Montana. The results estimate that sites will take anywhere from 3 to 100 years to return to their pre-fire composition, based on current environmental conditions.

Keywords

Lambda Old-field community Post-fire succession Secondary succession Succession ratio Turnover rate 

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Notes

Acknowledgments

The authors would like to thank the numerous students who assisted in the collection of the data set and A. Crowder and L. Aarssen for consultation regarding the ‘early’ species. Insightful and helpful comments were received from M. Anand and anonymous reviewers who criticised earlier drafts of this manuscript.

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© Akadémiai Kiadó, Budapest 2003

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Dept. of BiologyQueen’s UniversityOntarioCanada
  2. 2.Dept. of EconomicsQueen’s UniversityOntarioCanada
  3. 3.Dept. of EconomicsAcadia UniversityNova ScotiaCanada
  4. 4.6 Wallace PlaceNova ScotiaCanada

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