The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Testing the assumptions of chronosequences in succession
Abstract
Many introductory ecology textbooks illustrate succession, at least in part, by using certain classic studies (e.g. sand dunes, ponds/bogs, glacial till, and old fields) that substituted space for time (chronosequence) in determining the sequences of the succession. Despite past criticisms of this method, there is continued, often uncritical, use of chronosequences in current research on topics besides succession, including temporal changes in biodiversity, productivity, nutrient cycling, etc. To show the problem with chronosequence‐based studies in general, we review evidence from studies that used non‐chronosequence methods (such as long‐term study of permanent plots, palynology, and stand reconstruction) to test the space‐for‐time substitution in four classic succession studies. In several cases, the tests have used the same locations and, in one case, the same plots as those in the original studies. We show that empirical evidence invalidates the chronosequence‐based sequences inferred in these classic studies.
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Cites
Fundamentals of Ecology (1953)
Odum, E. P. (2017) · The Future of Nature · doi:10.12987/9780300188479-022 · Cited by 5,006
Ecology: The Experimental Analysis of Distribution and Abundance
Krebs, C. J. (1973) · Cited by 4,620
Plant succession; an analysis of the development of vegetation,
Clements, F. E. (1916) · Carnegie Institution of Washington eBooks · doi:10.5962/bhl.title.56234 · Cited by 3,255
The Use and Abuse of Vegetational Concepts and Terms
Tansley, A. G. (1935) · Ecology · doi:10.2307/1930070 · Cited by 2,908
Space-for-Time Substitution as an Alternative to Long-Term Studies
Pickett, S. T. A. (1989) · Long-Term Studies in Ecology · doi:10.1007/978-1-4615-7358-6_5 · Cited by 1,451
Egler, F. E. (1954) · Vegetatio · doi:10.1007/bf00275587 · Cited by 1,189
Mechanisms of Primary Succession Following Deglaciation at Glacier Bay, Alaska
Chapin, F. S., Walker, L. R., Fastie, C. L., & Sharman, L. C. (1994) · Ecological Monographs · doi:10.2307/2937039 · Cited by 1,091
Population Ecology: A Unified Study of Animals and Plants
Begon, M., Mortimer, M., & Thompson, D. J. (1996) · Wiley eBooks · doi:10.1002/9781444313765 · Cited by 995
Foredunes and blowouts: initiation, geomorphology and dynamics
Hesp, P. (2002) · Geomorphology · doi:10.1016/s0169-555x(02)00184-8 · Cited by 920
Succession in Wetlands: A Gleasonian Appraoch
van der Valk, A. G. (1981) · Ecology · doi:10.2307/1937737 · Cited by 834
Cited by
The use of chronosequences in studies of ecological succession and soil development
Walker, L. R., Wardle, D. A., Bardgett, R. D., & Clarkson, B. D. (2010) · Journal of Ecology · doi:10.1111/j.1365-2745.2010.01664.x · Cited by 1,267
Carbon accumulation in agricultural soils after afforestation: a meta-analysis
LAGANIÈRE, J., ANGERS, D. A., & PARÉ, D. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01930.x · Cited by 956
Quantifying ecological memory in plant and ecosystem processes
Ogle, K., Barber, J. J., Barron‐Gafford, G. A., Bentley, L. P., Young, J. M., Huxman, T. E., Loik, M. E., & Tissue, D. T. (2015) · Ecology Letters · doi:10.1111/ele.12399 · Cited by 466
Simard, M., Romme, W. H., Griffin, J. M., & Turner, M. G. (2011) · Ecological Monographs · doi:10.1890/10-1176.1 · Cited by 327
STINSON, G., KURZ, W. A., SMYTH, C. E., NEILSON, E. T., DYMOND, C. C., METSARANTA, J. M., BOISVENUE, C., RAMPLEY, G. J., LI, Q., WHITE, T. M., et al. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2010.02369.x · Cited by 299
Metadata
- Authors
- Johnson, E. A., & Miyanishi, K.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2008-03-13
- Volume
- 11
- Issue
- 5
- Pages
- 419-431
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2071908967
- Cited by
- 733
- References
- 83
- FWCI
- 33.48
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
