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- W1532129172 abstract "Assessing change of vegetation as a multistate system is a central issue in vegetation ecology. Time is another attribute in a sample such that no specific treatment would be indicated. Time series theory is a specialized field of science and this chapter addresses one example out of many specific methods, measuring temporal autocorrelation. All remaining topics then concern temporal change of high-dimensional vegetation data for which the buzzword ‘succession’ is popular in plant ecology. The chapter presents a model process capable of reproducing simple cases of multivariate patterns of change. The functioning and use of Markov models for vegetation surveys is explained. Next, it focuses on principle of space-for-time substitution in the univariate case, and gives an example of a really successful application such as The Swiss National Park succession. Finally, the chapter demonstrates typical patterns using pollen of tree species of the Soppensee profile from Lotter." @default.
- W1532129172 created "2016-06-24" @default.
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- W1532129172 date "2013-03-31" @default.
- W1532129172 modified "2023-09-23" @default.
- W1532129172 title "Vegetation Change in Time" @default.
- W1532129172 doi "https://doi.org/10.1002/9781118562543.ch9" @default.
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