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Essay on the Study of the Vegetation Process

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References

  • Allen T.F.H. and Starr T.B. 1982. Hierarchy: perspectives for ecological complexity.The University of Chicago Press. 310 p.

    Google Scholar 

  • Anand M. and Orlóci L. 1996. Complexity in plant communities: the notion and quantification. J. theor. Biol. 179: 179-186.

    Article  Google Scholar 

  • Anand M. 1997. The fundamental nature of vegetation dynamics- a chaotic synthesis. COENOSES 12 (2-3): 55-62.

    Google Scholar 

  • Box E.O. 1996. Plant functional types and climate at the global scale. Journal of Vegetation Science 7: 309-320.

    Article  Google Scholar 

  • Braun-Blanquet J. 1932. Plant sociology. The study of plant communities. (Translated by G.D. Fuller and H.S. Conard.) McGraw-Hill, New York and London.

    Google Scholar 

  • Bray J.R. and Curtis J.T. 1957. An ordination of the Upland Forest communities of southern Wisconsin. Ecological Monographs 27: 325-349.

    Article  Google Scholar 

  • Brzeziecki B., Kienast F. and Wildi O. 1993. A simulated map of the potential natural forest vegetation of Switzerland. Journal of Vegetation Science 4: 499-508.

    Article  Google Scholar 

  • Cain S.A. 1944. Foundations of Plant Geography. Harper, New York.

    Google Scholar 

  • Çambel A.B. 1993. Applied Chaos Theory: a Paradigm for Complexity. Academic Press, New York.

    Google Scholar 

  • Clements F.E. 1916. Plant succession. An analysis of the development of vegetation. Carnegie Institute, Washington, Publication 242, Washington D.C.

    Google Scholar 

  • Connell H.J. and Slatyer R.O. 1977. Mechanisms of succession in natural communities and their role in community stability and organisation. American Naturalist 111: 1119-1144.

    Article  Google Scholar 

  • De Patta Pillar V. and Orlóci L. 1991. Fuzzy components in Community Level Comparisions. In: Feoli E. and Orlóci L. Computer assisted vegetation analysis. Kluwer Academic Publishers, Dortrecht: 87-93.

    Google Scholar 

  • Edgington E.S. 1987. Randomization Tests. 2nd ed. Marcel Dekker, New York.

    Google Scholar 

  • Egler, F.E. 1954. Vegetation science concepts. I. Initial floristic composition - a factor in old-field vegetation development. Vegetatio 4: 412-417.

    Article  Google Scholar 

  • Ewald J. 2003. A critique for phytosociology. Journal of Vegetation Science 14: 291-296.

    Article  Google Scholar 

  • Feoli C. and Zuccarello V. 1991. Syntaxonomy: a source for useful fuzzy sets for environmental analysis? In: Feoli E. and Orlóci L. (eds). Computer assisted vegetation analysis, pp. 265-271. Kluwer, Dortrecht.

    Google Scholar 

  • Feoli E. and Orlóci L. 1991. Computer assisted vegetation analysis. Handbook of vegetation science 11. Kluwer Academic Publishers, Dortrecht, Boston, London.

    Google Scholar 

  • Gleason H.A. 1926. The individualistic concept of the plant association. Bulletin of the Torrey Botanical Club 53: 7-26.

    Article  Google Scholar 

  • Gleason H.A. 1939.The individualistic concept of the plant association.Amer. Midl. Nat. 21: 92-110.

    Article  Google Scholar 

  • Gleick J. 1987. Chaos. Making a New Science. Penguin Books, New York.

    Google Scholar 

  • Goodall D.W. 1954. Objective methods for the classification of vegetation. III. An essay in the use of factor analysis. Aust. J. Bot. 2: 304-324.

    Google Scholar 

  • Goodall D.W. 1964. A probabilistic similarity index. Nature 203: 1098.

    Article  Google Scholar 

  • Goodall D.W. 1975. Setting objectives for ecological research. Bull. Ecol. Soc. Aust. 5: 3-8.

    Google Scholar 

  • Green R.H. 1979. Sampling design and statistical methods for environmental biologists. Wiley-Interscience, New York, Chichester, Brisbane, Toronto. 257 p.

    Google Scholar 

  • Greig-Smith P. 1983. Quantitative Plant Ecology. 3rd. Ed. Blackwell Scientific Publications, Oxford. 359 pp.

    Google Scholar 

  • Grime J.P. 1977. Evidence for the existence of three primary strategies in plant and its relevance to ecological and evolutionary theory. Am. Nat. 111: 1169-1194.

    Article  Google Scholar 

  • Groenewoud van H. 1965. Ordination and classification of Swiss and Canadian coniferous forests by various biometric and other methods. Diss. ETH Nr. 3700. Berichthaus Zürich.

    Google Scholar 

  • Guisan A. and Zimmermann N.E. 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135: 147-186.

    Article  Google Scholar 

  • Harper J.L. 1977. The population biology of plants. Academic Press, London.

    Google Scholar 

  • Hubbell S.P. 2001. The unified theory of biodiversity and biogeography: a synopsis of the theory and some challenges ahead. In: Silvertown J. and Antonovics J. (eds.). Integrating ecology and evolution in a spatial context. Blackwell, pp. 393-411.

    Google Scholar 

  • Jongman R.H.G., ter Braak C.J.F. and van Tongeren O.F.R. 1987. Data analysis in community and landscape ecology. Pudoc Wageningen.

    Google Scholar 

  • Kenkel N.C. and Orlóci L. 1986. Applying metric and nonmetric multidimensional scaling to ecological studies: some new results. Ecology 67: 919-928.

    Article  Google Scholar 

  • Kerner A. von Marilaun 1864. Das Pflanzenleben der Donauländer. 2nd ed. by F. Vierhapper, 1929. Univ.-Verlag Wagner, Innsbruck.

    Google Scholar 

  • Kullback S. 1959. Information theory and statistics. New York, Wiley.

    Google Scholar 

  • Landolt E. 1977. Oekologische Zeigerwerte zur Schweizer Flora. Veröff. Geobot. Inst. ETH, Stiftung Rübel 64. 208 p.

    Google Scholar 

  • Lausi D. and Nimis P.L. 1985. The study of convergent evolution in plants and plant communities. A quantitative approach. Abstracta Botanica 9: 67-77.

    Google Scholar 

  • Legendre P. and Legendre L. 1998. Numerical Ecology. 2nd ed. Elsevier, Amsterdam.

    Google Scholar 

  • Legendre P. and Fortin M.-J. 1989. Spatial analysis and ecological modelling. Vegetatio 80: 107-138.

    Article  Google Scholar 

  • Lippe E., De Smitt J.T. and Glenn-Lewin D.C. (1985): Markov models and succession: a test from a heathland in the Netherlands. Journal of Ecology 73: 775-791.

    Article  Google Scholar 

  • Lischke H., Lotter A.F. and Fischlin A. 2002. Untangling a Holocene pollen record with forest model simulations and independent climate data. Ecological Modelling 150: 1-21.

    Article  Google Scholar 

  • Mandelbrot B.B. 1977. Fractals: form, chance and dimension. Freeman, San Francisco.

    Google Scholar 

  • Manel S., Schwartz M.K., Luikart G. and Taberlet P. 2003. Landscape genetics: combining land-scape ecology and population genetics. Trends in Ecology and Evolution 18: 189-197.

    Article  Google Scholar 

  • Margalef R. 1958. Information theory in ecology. General Systems 3: 36-71.

    Google Scholar 

  • Mueller-Dombois D. and Ellenberg H. 1974. Aims and Methods of Vegetation Ecology. John Wiley and Sons, New York Chichester Brisbane Toronto. 547 p.

    Google Scholar 

  • Mueller-Dombois D. 1992. Vegetation of the Wet Windward Slope of Haleakala, Maui, Hawaii. Pacific Science 46, 2: 197-220.

    Google Scholar 

  • Orians G.H. and Solbrig O.T. 1977. Convergent Evolution in Warm Deserts. Dowden, Hutchinson Ross, Stroutdsburg, Pennsylvania.

    Google Scholar 

  • Orlóci L. 1978. Multivariate analysis in vegetation research. 2nd ed. Dr.W. Junk,The Hague. 451 p.

    Google Scholar 

  • Orlóci L. 1991a. CONAPACK: A program for Canonical Analysis of Classification Tables. Ecological Computations Series: Vol. 4. SPB Academic Publishing, The Hague.

    Google Scholar 

  • Orlóci L. 1991b. On character-based plant community analysis: choice, arrangement, comparison. Coenoses 6: 103-107.

    Google Scholar 

  • Orlóci L. 1993. The complexities and scenarios of ecosystem analysis. In: G. P. Patil and C. R. Rao (eds.). Multivariate Environmental Statistics, Elsevier Scientific, New York. pp. 423-432.

    Google Scholar 

  • Orlóci L. 2000. From Order to Causes. A personal view, concerning the principles of syndynamics. http://sites.netscape.net/lorloci

  • Orlóci L. 2001. Prospects and expectations: reflections on a science in change. Community Ecology 2 (2): 187-196.

    Article  Google Scholar 

  • Orlóci L and Orlóci M. 1985. Comparison of communities without the use of species: model and example. Ann. Bot. (Roma) 43: 275-285.

    Google Scholar 

  • Orlóci L. and Pillar de Patta, V. 1989. On sample size optimality in ecosystems survey. Biometrie-Praximetrie 29: 173-184.

    Google Scholar 

  • Orlóci L., Anand M. and He X. 1993. Markov chain: a realistic model for temporal coenosere? Biom. Praxim. 33: 7-26.

    Google Scholar 

  • Orlóci L., Pillar V.D.,Anand M. and Behling H. 2002. Some interesting characteristics of the vege-tation process. Community Ecology 3(2): 125-146.

    Article  Google Scholar 

  • Parker V.T. and Pickett S.T.A. 1998. Historical contingency and multiple scales of dynamics within plant communities. In: Peterson D.L. and Parker V.T. (eds.). Ecological Scale: Theory and Applications. Columbia University Press. pp. 171-191.

    Google Scholar 

  • Peet R.K. and Christensen, N.L. 1980. Succession: a population process. Vegetatio 43: 131-140.

    Article  Google Scholar 

  • Pielou E.C. 1975. Ecological Diversity. Wiley, New York.

    Google Scholar 

  • Pielou E.C. 1984. The interpretation of ecological data. John Wiley and Sons, New York, London, Sidney, Toronto. 263 p.

    Google Scholar 

  • Pillar V. De Patta and Orlóci L. 1991. Fuzzy components in community level comparisions. In: Feoli E. and Orlóci L. Computer assisted vegetation analysis. Kluwer Academic Publishers, Dortrecht: 87-93.

    Google Scholar 

  • Pillar V. De Patta 1993. Character-based community analysis: the theory and an application pro-gram. Ecological Computations Series (ECS). Vol. 5. SPB Academic Publishing bv. The Hague, the Netherlands.

    Google Scholar 

  • Podani J. 1984. Spatial processes in the analysis of vegetation: theory and review. Acta Botanica Hungarica 30: 75-118.

    Google Scholar 

  • Poore M.E.D. 1955. The use of phytosociological methods in ecological investigations. I-III. J. Ecol. 43: 226-244, 245-269, 606-651.

    Article  Google Scholar 

  • Poore M.E.D. 1962. The method of successive approximation in descriptive ecology. Advances in Ecological Research 1: 35-68.

    Article  Google Scholar 

  • Raunkiaer C. 1934.The life forms of plants. Oxford University Press, Oxford. (Translated from the original published in Danish, 1907)

    Google Scholar 

  • Rees M., Condit R, Crawley M., Pacala S. and Tilman D. 2001. Long-Term Studies of Vegetation Dynamics. Science 293: 650-655.

    Article  CAS  PubMed  Google Scholar 

  • Rényi A. 1961. On measureso fo entropy and information. In: J. Neyman (ed.), Proceedings of the4th Berkeley Symposium on Mathematical Statistics and Probability, pp. 547-561. Univeristy of California Press, Berkeley.

    Google Scholar 

  • Roberts D. W. 1986. Ordination on the basis of fuzzy set theory. Vegetatio 66: 123-131.

    Article  Google Scholar 

  • Sampford M.R. 1962. An Introcuction to Sampling Theory with Applications to Agriculture. Oliver and Boyd, Endinburgh.

    Google Scholar 

  • Shannon C.E. 1948. A mathematical theory of communication. Bell System Tech. J. 27: 379-423.

    Google Scholar 

  • Smith T.M., Shugart H.H., Woodward F.I. and Burton, P.J. 1993. Plant Functional Types. In: Solomon A.M. and Shugart H.H. (eds.). Vegetation Dynamics and Global Change, pp. 272-292. Chapman and Hall, London.

    Google Scholar 

  • Tansley A.G. 1920. The classification of vegetation and the concept of development. J. Ecol. 8: 118-148.

    Article  Google Scholar 

  • Tansley A.G. 1935: The use and abuse of vegetational concepts and terms. Ecology 16, 3: 284-307.

    Article  Google Scholar 

  • Tilman D. 1988. Dynamics and Structure of Plant Communities. Princeton, New Jersey.

    Google Scholar 

  • Warming E. 1909. Oecology of plants. An introduction to the study of plant communities. Oxford University Press, London. 422 p.

    Google Scholar 

  • Westhoff V. and van der Maarel E. (1978): The Braun-Blanquet approach. In: Whittaker, R.H. (ed.). Classification of plant communities, pp. 289-399, W. Junk, The Hague.

    Google Scholar 

  • Whittaker R.H. 1978. Direct gradient analysis. In: Whittaker R.H. (ed.). Ordination of Plant Communities. Junk, The Hague: 7-50.

    Google Scholar 

  • Wildi O. and Orlóci L. 1991. Flexible gradient analysis: a note on ideas and an application. In: Feoli E. and Orlóci L. (eds.). Computer assisted vegetation analysis, pp. 265-271. Kluwer, Dortrecht.

    Google Scholar 

  • Wildi O., Feldmeyer-Christe E., Ghosh S. and Zimmermann N.E. 2004. Comments on vegetation monitoring approaches. Community Ecology 5: 1-5.

    Article  Google Scholar 

  • Zimmermann H.J. 1985. Fuzzy set Theory - and its Applications. Kluwer-Nijmhoff Publishing. Dortrecht.

    Google Scholar 

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Wildi, O., Orlóci, L. (2007). Essay on the Study of the Vegetation Process. In: Kienast, F., Wildi, O., Ghosh, S. (eds) A Changing World. Landscape Series, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-4436-6_13

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