Quantifying secondary succession: a method for all sites?
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.
KeywordsLambda Old-field community Post-fire succession Secondary succession Succession ratio Turnover rate
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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.
- Armstrong, H. and D. Bullock. 2003. Stock grazing in woodland -Part 1. Biotype 24:2–5.Google Scholar
- Blatt, S.E., A.A. Crowder and R. Harmsen. (in press) Patterns of secondary succession in old-field communities in southeastern Ontario. Plant Ecology.Google Scholar
- Crowder, A.A. 1986. The vegetation of the Kingston region. Bluebill 33:37–40. 45.Google Scholar
- Crowder, A. and R. Harmsen. 1998. Notes on forest succession in old fields in Southeastern Ontario: the woody species. Canadian Field Naturalist 112:410–418.Google Scholar
- Frye, R.J. 1978. Structural dynamics of early old-field succession on the New Jersey Piedmont: a comparative approach. Ph.D. Thesis, Rutgers University.Google Scholar
- Geomatics-International. 1995. Management option for old-field sites in southern Ontario. Guidelines and literature review. Technical Report TR-009, Southern Region Science and Technology Transfer Unit.Google Scholar
- Grosshans, R.E. and N.C. Kenkel. 1997. Dynamics of emergent vegetation along natural gradients of water depth and salinity in a prairie marsh: delayed influences of competition. UFS (Delta Marsh) Annual Report 32: 83–93.Google Scholar
- Ihaka, R. and R. Gentleman. 1996. R - A language for data analysis and graphics. Journal of Computational and Graphical Statistics 5:299–314.Google Scholar
- Leps, J. 1987. Vegetation dynamics in early old field succession: a quantitative approach. Vegetatio 72:95–102.Google Scholar
- Margalef, R. 1968. Perspectives in Ecological Theory. University of Chicago Press, Illinois, USA.Google Scholar
- Monte, J.A. 1973. The successional convergence of vegetation from grassland and bare soil on the Piedmont of New Jersey. William L. Hutcheson Memorial Forest Bulletin 3: 3–13.Google Scholar
- Morton, J.K. and J. M. Venn. 1990. A checklist of the flora of Ontario: Vascular plants. University of Waterloo, Waterloo, Ontario.Google Scholar
- Phillips, E.A. 1959. Methods of Vegetation Study. Holt, Rinehart and Winston, New York, New York.Google Scholar
- Stickney, P.F. and R.B. Campbell, Jr. 2000. Data Base for Early Post-fire Succession in Northern Rocky Mountain Forests. General Technical Report RMRS-GTR-61-CD. United States Department of Agriculture - Forest Service - RockyMountain Research Station.Google Scholar
- Zar, J.H. 1984. Biostatistical Analysis. (2nd edition.) Prentice-Hall, Inc., Englewood Cliffs, New Jersey.Google Scholar
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