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  • Articles  (3)
  • Dynamics  (3)
  • Springer  (3)
  • 1975-1979  (3)
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  • Articles  (3)
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  • Springer  (3)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Plant ecology 38 (1978), S. 65-75 
    ISSN: 1573-5052
    Keywords: Dynamics ; Models ; Succession ; Theory ; Vegetation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Ecological succession theory deals with temporal change in biological communities. It consists largely of generalizations based on temporal sequences inferred from spatial ones. The predictive content of the theory is low, since predictions are derived from unconditional trends rather than conditional laws. There exist several conflicting theories purporting to explain successional change, but their empirical vacuousness prevents an assessment on empirical terms. It is argued here that one can nevertheless advocate a theory which accounts for the ubiquity of successional change and explains the most conspicuous characteristics of the successional process, even though it cannot predict the detailed dynamics. Such a theory is derived here from an analysis of adaptive strategies. It is also pointed out that a persistant confusion exists in the ecological literature between what are considered to be the driving forces of successional change, competition and reaction. The former is taken to be an instantaneous type of interaction, whereas the latter has historical (cumulative) aspects. It is not at all obvious whether interactions of the historical type play an important role in driving vegetational change, although it is usually suggested that they do.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Plant ecology 40 (1979), S. 3-14 
    ISSN: 1573-5052
    Keywords: Dynamics ; Markovity ; Models ; Vegetation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary An important problem in the study of successional change is the question whether succession is Markovian, or, in other words, whether a knowledge of past vegetation is necessary in order to predict the future vegetation of a site. One approach to this problem would be to perform perturbation studies on actual vegetation. Since experimental perturbations of most vegetation types are extremely time consuming, however, a test for the importance of historical effects which can be performed on observational data would be preferable. Such a test can be found in the theory of Markov processes. the statistical tests for testing the Markovity assumption and some additional applications of the theory to vegetation dynamics are discussed. Appropriate data, however, are hard to find and the data set used here can only illustrate some other applications of the Markov chain model. One salient conclusion is that, the classical conception to the contrary, ecological succession appears to be highly indeterminate. This clearly calls for a stochastic rather than a deterministic description.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Plant ecology 39 (1979), S. 85-96 
    ISSN: 1573-5052
    Keywords: Dynamics ; Models ; Succession ; Vegetation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Successional change is thought to be at least partially driven by forees originating from within the community, namely by ‘reaction’ and competition. Both processes operate through changes in the environment, but from the literature on the subject it is not clear how they differ. To clarify these issues successiens of model communities are studied. This leads us to conclude that competition represent an instantaneous interaction, whereas reaction has historical aspects since it relies on cumulative changes in the environment. The three models considered-one relying on reaction to cause vegetational change, one relying on competition and differential growth rates, and a hybrid third one-yield very similar predictions: roughly bell-shaped curves displaced along the time axis. This shows that the mere fit of a certain model to successional data may easily be spurious (recently some workers have empirically fitted models identical to one derived here from first principles). The three models do behave radically different under perturbation, however: any model relying completely or partially on historical interactions cannot account for the well known possibility of artificially arresting succession. Even if the importance of historical interactions in succession (i.e. the Markovian character of succession) cannot easily be ascertained, one can nevertheless ask whether historical interactions are at all necessary for the explanation of successional change. It is argued here that succession can be entirely understood in terms of instantaneous interactions, notably competition. The argument rests upon the well known relationship between colonizing and competitive ability, and on the fact, proven here, that stress, defined as expressing itself in severe random fluctuations in the growth parameters, is negatively correlated with competition intensity.
    Type of Medium: Electronic Resource
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