Abstract
In this paper we examine the impact of runnelling on the vegetation of a salt marsh. Runnelling is a form of habitat modification used for mosquito control in Australia. Defining the states of the system through unsupervised clustering of vegetation records using the minimum message length principle, 11 states (or classes) were identified. The runnelled sites have a greater diversity of states present than the unrunnelled ones. The states at each time for each site were then used to develop transition matrices. From these, two different pathways were identified, indicating the patterns of change. The method of showing changes relied on pictures that represent average species size and density. Both the two main pathways of change started with the dominant grass (Sporobolus). One led to a reduction in Sporobolous and ended in bare ground; the other included changes involving variation in the size and density of a mix of Sporobolus and Sarcocornia. The effects can be interpreted in terms of the increased access of seawater to the marsh resulting in an extension of the lower marsh. We note, however, that this methodology does not distinguish between changes of state within a single process and changes associated with a change in the actual processes operating.
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Abbreviations
- MML:
-
minimum message length
References
Adam, P., N. C. Wilson and B. Huntley. 1988. The phytosociology of coastal saltmarsh vegetation in New South Wales. Wetlands (Australia) 7: 35–84.
Anand, M. and L. Orlóci. 1995. On the notion of system complexity and its definitions in ecology. Western Journal of Graduate Research. 5: 71–83.
Anand, M and L. Orlóci. 1996. Complexity in plant communities: the notion and quantification. J. theoret. Biol. 179: 179–186.
Boulton, D. M. and C. S. Wallace. 1970. A program for numerical classification. Comput. J. 13: 63–69.
Chapman, H., P. E. R. Dale and B. H. Kay. 1998. A method for assessing the effects of runnelling on salt-marsh grapsid crab populations. J. Amer. Mosquito Assoc. 14: 61–68.
Dale, M. B. 2000. Mt Glorious revisited: secondary succession in subtropical rainforest. Community Ecol. 1:181–193.
Dale, M. B. 2001a. Functional synonyms and environmental homologues: an empirical approach to guild delimitation. Community Ecol. 2:67–79.
Dale, M. B. 2001b. Minimum message length clustering, environmental heterogeneity and the variable Poisson model. Community Ecol. 2:171–180.
Dale, M. B., L. Salmina and L. Mucina. 2001. Minimum message length clustering: an explication and some applications to vegetation data. Community Ecol. 2:231–247.
Dale, P. E. R., K. Hulsman and A. L. Chandica. 1986. Classification of reflectance on colour infra red aerial photographs and subtropical salt marsh vegetation types. International J. Remote Sensing 7: 1783–1788.
Dale, P. E. R. 2001. Wetlands of conservation significance: mosquito borne disease and its control. Arbovirus Research in Australia 8: 102–108.
Dale, P. E. R. and K. Hulsman. 1988. To identify impacts in variable systems using anomalous changes: a salt marsh example. Vegetatio 75: 27–35.
Dale, P. E. R., P. T. Dale, K. Hulsman and B. H. Kay. 1993. Runnelling to control saltmarsh mosquitoes: long-term efficacy and environmental impacts. J. Amer. Mosquito Control Assoc. 9: 174–181.
Dale, P. E. R., A. L. Chandica and M. Evans. 1996. Using image subtraction and classification to evaluate change in subtropical intertidal wetlands. International J. Remote Sensing 17: 703–719.
Edgoose, T. and L. Allison. 1999. MML Markov classification of sequential data. Statistics and Computing 9:269–278.
Edwards, R. T. and D. Dowe, 1998. Single factor analysis in MML mixture modelling. Lecture Notes in Art. Intell 1394 Springer, pp. 96–109.
Hulsman, K., P. E. R. Dale and B. H. Kay. 1989. The runnelling method of habitat modification: an environment focussed tool for salt marsh management. J. Amer. Mosquito Control Assoc. 5: 226–234.
Kolmogorov, A. N. 1965. Three approaches to the quantitative description of information. Prob. Inform. Transmission 1:4–7 (translation).
Kullback, S., M. Kupperman and H. H. Ku. 1962. Test for contingency tables and Markov chains. Technometrics 4: 573–608.
Liebovitch, L. S. 1995. Ion channel kinetics. In: P. M. Iannaccane and M. K. Khokha (eds.), Fractal Geometry in Biological Systems: an analytical approach. CRC Press, London, pp. 31–56.
Orlóci, L., M. Anand and X. He. 1993. Markov chain: a realistic model for temporal coenosere? Biom. Praxim. 33: 7–26.
Wallace, C. S. 1996. MML Inference of predictive trees, graphs and nets. In: A. Gammerman (ed.), Computational Learning and Probabilistic Reasoning. John Wiley. NY. pp. 43–66.
Wallace C. S. 1998. Intrinsic classification of spatially-correlated data. Comput. J. 41: 602–611.
Wallace, C. S. and D. L. Dowe. 1993. MML estimation of the von Mises concentration parameter. Technical Report TR 93/193. Dept. Computer Science, Monash University, Clayton 3168, Victoria, Australia.
Wallace, C. S. and D. L. Dowe. 2000. MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions. Statistics and Computing 10: 73–83.
Wallace, C. S. and P. R. Freeman. 1987. Estimation and inference by compact coding. J. Royal Statist. Soc. B 49:240–252.
Wildi, O. and M. Schiitz. 2000: Reconstruction of a long-term recovery process from pasture to forest. Community Ecol. 1: 25–32.
Williams, W. T., G. N. Lance, L. J. Webb, J. G. Tracey and M. B. Dale. 1969. Studies in the numerical analysis of complex rain forest communities III. The analysis of successional data. J. Ecol. 57:515–53.
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Dale, P.E.R., Dale, M.B. Optimal classification to describe environmental change: pictures from the exposition. COMMUNITY ECOLOGY 3, 19–29 (2002). https://doi.org/10.1556/ComEc.3.2002.1.3
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DOI: https://doi.org/10.1556/ComEc.3.2002.1.3