By M. P. Austin (auth.), P. Poissonet, F. Romane, M. A. Austin, E. van der Maarel, W. Schmidt (eds.)
Symposium of the operating teams for Succession learn on everlasting plots, and Data-processing in phytosociology of the overseas Society for plants technological know-how, held at Montpellier, France, September 1980.
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Extra info for Vegetation dynamics in grasslans, healthlands and mediterranean ligneous formations: Symposium of the Working Groups for Succession research on permanent plots, and Data-processing in phytosociology of the International Society for Vegetation Science, hel
1980. An exploratory analysis of grassland dynamics: an example of a lawn succession. Vegetatio 43: 87-94. Austin, M. P. & Cunningham, R. , in press. Observational analysis of environmental gradients. Proc. Eco!. Soc. Aust. 30 Bledsoe, 1. J. & van Dyne, G. , 1971. A compartment model simulation of secondary succession. In: B. C. ), Systems analysis and simulation in ecology Vo!. I. Academic Press, New York. Botkin, D. , Janak, J. F. & Wallis . I. R .. 1972. Some ecological consequences of a computer model of forest growth.
In still other cases (u. americana, N. sylvatica), a definite monotone reduction sets in with time, leading to decline or even obliteration of the species. Density changes in the long cycle are less intensive (22%) and affect species in two ways. In convex long cycles (A. rubrum, B. alleghaniensis, F. americana), density rises above expectation at midrange in the time series. In the concave long cycles, such as in F. nigra and U. americana, density falls below expectation at midrange. Invading species (A.
The species exhibit one of two patterns (+-+- or -+-+). To pinpoint the exact causes for the observed trends would require facts not available from the published record. The conclusions drawn thus have to be confined to the statement that the presence of a dominant monotone trend suggests a strong successional affect. If cyclic changes dominated, the conclusion would be: the vegetation reached a steady state at the scale of the cycle. Trend seeking multivariate methods offer definite advantages in time series analysis over the more conventional methods in succession studies.