Diversity patterns of vegetation systems from the perspective of similarity theory

Plant Biosystems

Volumn 146, Issue 4, 2012, Pages 797-804

  Feoli, E ^a  

^a UNIVERSITY OF TRIESTE   (Italy)

Author keywords

Character set type; crisp diversity; fuzzy diversity; hierarchical diversity profiles; individual plant based diversity; plant community based diversity; similarity theory

Indexed keywords

EID: 84869468985     PISSN: 11263504     EISSN: 17245575     Source Type: Journal    
DOI: 10.1080/11263504.2012.740090     Document Type: Article

References (90)

1. Abeli, T, Barni, E, Siniscalco, C, Amosso, C and Rossi, G. 2012. A cost-effective model for preliminary site evaluation for the reintroduction of a threatened quillwort. Aquat Conserv Mar Freshwater Ecosyst, 22: 66-73.
2. Bartha, S, Merolli, A, Campetella, G and Canullo, R. 2008. Changes of vascular plant diversity along a chronosequence of beech coppice stands, central Apennines, Italy. Plant Biosyst, 142(3): 572-583.
3. Biondi, E, Feoli, E. and Zuccarello, V. 2004. Modelling environmental responses of plant associations: a review of some critical concepts in vegetation study. Crit Rev Plant Sci, 23: 149-156.
4. Boryslawski, Z R and Krusinska, E. 1989. Fuzzy linguistic concept in redescription of vegetation data. Coenoses, 3: 169-173.
5. Botta-Dukat, Z. 2005. Rao's quadratic entropy as a measure of functional diversity based on multiple traits. J Veg Sci, 16: 533-540.
6. Burrascano, S, Rosati, L and Blasi, C. 2009. Plant species diversity in Mediterranean old-growth forests: a case study from central Italy. Plant Biosyst, 143(1): 190-200.
7. Carranza, L, Feoli, E and Ganis, P. 1998. Analysis of vegetation structural diversity by Burnaby's similarity index. Plant Ecol, 138: 77-87.
8. Castellano, G, Marino, P, Raimondo, F M and Spadaro, V. 2012. Sorbus busambarensis (Rosaceae), a new endemic species of Sicily. Plant Biosyst, 146: S336-S342.
9. Clarke, K R and Warwick, R M. 1998. A taxonomic distinctness index and its statistical properties. J Appl Ecol, 35: 523-531.
10. Dale, M B. 1988. Knowing when to stop: cluster concept-concept cluster. Coenoses, 1: 11-31.
11. Dale, M B, Feoli, E and Ganis, P. 1989. Incorporation of information from the taxonomic hierarchy in comparing vegetation types. Taxon, 38: 216-227.
12. del Bello, F, Lepš, J, Lavorel, S and Moretti, M. 2007. Importance of species abundance for assessment of trait composition: an example based on pollinator communities. Community Ecol, 8: 163-170.
13. Ewald, J. 2008. Plant species richness in mountain forests of the Bavarian Alps. Plant Biosyst, 142(3): 594-603.
14. Farina, A. 2000. Landscape ecology in action, Dordrecht: Kluwer Academic Publishers.
15. Feoli, E. 1984a. Some aspects of classification and ordination of vegetation data in perspective. Studia Geobot, 4: 7-21.
16. Feoli, E. 1984b. Is there any correlation between anatomical spaces of vegetation and its sampling space?. Giorn Bot Ital, 118: 98-100.
17. Feoli, E. 2010. Heath species and heathlands of Italy: an analysis of their relationships under the perspective of climate change based on the description of habitats used for the project "Carta della Natura" (Italian Map of Nature). Ecol Quest, 12: 161-170.
18. Feoli, E, Ferro, G and Ganis, P. 2006. Validation of phytosociological classifications based on a fuzzy set approach. Community Ecol, 7: 98-117.
19. Feoli, E, Gallizia Vuerich, L, Ganis, P and Zerihun, Woldu. 2009. A classificatory approach integrating fuzzy set theory and permutation techniques for land cover analysis: a case study on a degrading area of the Rift Valley (Ethiopia). Community Ecol, 10(1): 53-64.
20. Feoli, E and Ganis, P. 1985. Comparison of floristic vegetation types by multiway contingency tables. Abstr Bot, 9: 1-15.
21. Feoli, E, Ganis, P, Venanzoni, R and Zuccarello, V. 2011. Toward a framework of integrated knowledge of terrestrial vegetation system: the role of databases of phytosociological relevés. Plant Biosyst, 145: 74-84.
22. Feoli, E, Ganis, P and Zerihun, Woldu. 1988. Community niche, an effective concept to measure diversity of gradients and hyperspaces. Coenoses, 3: 31-34.
23. Feoli, E. and Lausi, D. 1980. Hierarchical levels in syntaxonomy based on information functions. Vegetatio, 42: 113-115.
24. Feoli E, Orlóci L, editors. 1991. Computer assisted vegetation analysis. Boston: Kluwer
25. Feoli, E and Orlóci, L. 2011. Can similarity theory contribute to the development of a general theory of the plant community?. Community Ecol, 12: 135-141.
26. Feoli, E, Oriolo, G, Patrono, A and Zuccarello, V. 1992. Phytosociology and G.I.S.: conceptual and technical tools to map landscape dynamics. Doc Phytosoc, 14: 65-81.
27. Feoli, E and Scimone, M. 1984. Hierarchical diversity: an application to broad-leaved woods of the Apennines. Giorn Bot Ital, 118: 1-15.
28. Feoli, E and Zuccarello, V. 1986. Ordination based on classification: yet another solution?!. Abstr Bot, 10: 203-219.
29. Goodall, D W. 1986. Classification and ordination: their nature and role in taxonomy and community studies. Coenoses, 1: 3-9.
30. Goodall, D W and Feoli, E. 1988. Application of probabilistic methodsin the analysis of phytosociological data. Coenoses, 3: 1-10.
31. Hill, M O. 1973. Diversity and evenness: a unifying notation and its consequences. Ecology, 54: 427-432.
32. Hillebrand, H and Matthiessen, B. 2009. Biodiversity in a complex world: consolidation and progress in functional biodiversity research. Ecol Lett, 12: 1405-1419.
33. Hurlbert, S H. 1971. The nonconcept of species diversity: a critique and alternative parameters. Ecology, 52: 577-586.
34. Jost, L. 2006. Entropy and diversity. Oikos, 113: 363-375.
35. Jost, L. 2007. Partitioning diversity into independent alpha and beta components. Ecology, 88: 2427-2439.
36. Jost, L. 2010. The relation between evenness and diversity. Diversity, 2: 207-232.
37. Jurasinski, G and Koch, M. 2011. Commentary: do we have a consistent terminology for species diversity? We are on the way. Oecologia, 167: 893-902.
38. Leinster, T and Cobbold, C A. 2012. Measuring diversity: the importance of species similarity. Ecology, 93(3): 477-489.
39. Leps, J. 2005. "Diversity and ecosystem function". In Vegetation ecology, Edited by: van der Maarel, E. 199-237. Oxford, UK: Blackwell.
40. Lonati, M and Siniscalco, C. 2012. A redefinition of geographic boundaries between Festuca paniculata (L.) Schultz & Thell. Associations in the western Alps. Acta Bot Gallica, 159(1): 109-119.
41. Losos, J B. 2011. Convergence, adaptation and constraint. Evolution, 65(7): 1827-1840.
42. Magurran, A E. 1988. Ecological diversity and its measurement, London/Sydney: Croom Helm.
43. Magurran, A E. 2004. Measuring biological diversity, Oxford, UK: Blackwell.
44. Manly, B FJ. 1997. Randomization, bootstrap and Monte Carlo methods in biology., 2nd ed, London, UK: Chapman and Hall.
45. Marchetti, M, Tognetti, R, Lombardi, F, Chiavetta, U, Palumbo, GSellitto, M. 2010. Ecological portrayal of old-growth forests and persistent woodlands in the Cilento and Vallo di Diano National Park (Southern Italy). Plant Biosyst, 144(1): 130-147.
46. Marino, P, Spadaro, V, Castellano, G and Raimondo, F M. 2012. Pyrus ciancioi (Rosaceae), a new species from Sicily. Plant Biosyst, 146(3): 654-657.
47. Mason, N WH, Mouillot, D, Lee, W G and Wilson, J B. 2005. Functional richness, functional evenness and functional divergence: the primary components of functional diversity. Oikos, 111: 112-118.
48. Moreno, C E and Rodríguez, P. 2011. Commentary: do we have a consistent terminology for species diversity? Back to basics and toward a unifying framework. Oecologia, 167: 889-892.
49. Mucina, L and van der Maarel, E. 1989. Twenty years of numerical syntaxonomy. Vegetatio, 81: 1-15.
50. Mueller-Dombois, D and Ellenberg, H. 1974. Aims and methods of vegetation ecology, New York: John Wiley & Sons.
51. Orlóci, L. 1978. Multivariate analysis in vegetation research., 2nd ed, 451The Hague, The Netherlands: Dr W Junk Publishers.
52. Orlóci, L, Anand, M and Pillar, V D. 2002. Biodiversity analysis: issues, concepts, techniques. Community Ecol., 3: 217-236.
53. Orlóci, L, Feoli, E, Lausi, D and Nimis, P L. 1986. Estimation of character structure convergence (divergence) in plant communities: a nested hierarchical model. Coenoses, 1: 11-20.
54. Pavoine, S and Bonsall, M B. 2011. Measuring biodiversity to explain community assembly: a unified approach. Biol Rev, 86: 792-812.
55. Pielou, E C. 1975. Ecological diversity, New York: Wiley.
56. Pillar, V D. 1996. A randomization-based solution for vegetationclassification and homogeneity testing. Coenoses, 11: 29-36.
57. Pillar, V D. 1999. How sharp are classifications?. Ecology, 80: 2508-2516.
58. Pillar, V D, Duarte, L DS, Sosinski, E E and Joner, F. 2009. Discriminating trait-convergence and trait-divergence assembly patterns in ecological community gradients. J Veg Sci, 20: 334-348.
59. Pillar, V D and Orlóci, L. 1993. Character-based vegetation analysis: the theory and an application program, ecological computations (ECS), vol. 5, The Hague: SPB Academic Publishing bv.
60. Pillar, V D and Orlóci., L. 1996. On randomization testing in vegetation science: multifactor comparisons of relevé groups. J Veg Sci, 7: 585-592.
61. Pillar VD, Orlóci L. 2004. Character-based community analysis: the theory and an application program. Available: http://ecoqua.ecologia.ufrgs.br. Accessed Oct 2004 29. 223 pp
62. Podani, J. 1995. Multivariate data analysis in ecology and systematics. A methodological guide to the SYN-TAX 5.0 package, The Hague: SPB Academic Publishing bv.
63. Podani, J. 2000. Introduction to the exploration of multivariate biological data, Leiden, Netherlands: Backhuys.
64. Podani, J and Schmera, D. 2006. On dendrogram-based measures of functional diversity. Oikos, 115: 179-185.
65. Podani, J and Schmera, D. 2007. How should a dendrogram-based measure of functional diversity function? A rejoinder to Petchey and Gaston. Oikos, 116: 1427-1430.
66. Poldini, L, Sburlino, G, Buffa, G and Vidali, M. 2011. Correlations among biodiversity, biomass and other plant community parameters using the phytosociological approach: a case studyfrom the south-eastern Alps. Plant Biosyst, 145(1): 131-140.
67. Pott, R. 2011. Phytosociology: a modern geobotanical method. Plant Biosyst, 145: 9-18.
68. Rao, C R. 1982. Diversity and dissimilarity measurements: a unified approach. Theor Popul Biol, 21: 24-43.
69. Rao, C R. 2010. Quadratic entropy and analysis of diversity. Sankhyā: Ind J Stat, 72-A(1): 70-80.
70. Renyi, A. 1961. "On measure of entropy and information". In The Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability, Univ, Edited by: Neyman, J. 547-561. Berkeley, CA: Calif. Press.
71. Ricotta, C. 2005. Through the jungle of biological diversity. Acta Biotheor, 53: 29-38.
72. Ricotta, C and Szeidl, L. 2006. Towards a unifying approach to diversity measures: bridging the gap between Shannon entropy and Rao's quadratic index. Theor Popul Biol, 70: 237-243.
73. Ricotta, C and Szeidl, L. 2009. Diversity partitioning of Rao's quadratic entropy. Theor Popul Biol, 76: 299-302.
74. Roberts, D W. 1986. Ordination on the basis of fuzzy set theory. Vegetatio, 66: 123-131.
75. Roberts, D W. 2008. Statistical analysis of multidimensional fuzzy set ordinations. Ecology, 89: 1246-1260.
76. Rosati, L, Fipaldini, M, Marignani, M and Blasi, C. 2010. Effects of fragmentation on vascular plant diversity in a Mediterranean forest archipelago. Plant Biosyst, 144(1): 38-46.
77. Rossini, M, Cogliati, S, Meroni, M, Migliavacca, M, Galvagno, MBusetto, L. 2012. Remote sensing-based estimation of gross primary production in subalpine grassland. Biogeosciences, 9: 2565-2584.
78. Sneath, P HA and Sokal, R R. 1973. Numerical taxonomy, San Francisco: Freeman.
79. Troia, A, Raimondo, F M, Castellano, G and Spadaro, V. 2012. Morphological, karyological and taxonomic remarks on Ferulago nodosa (L.) Boiss. (Apiaceae). Plant Biosyst, 146: S328-S335.
80. Tuomisto, H. 2010a. A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity. Ecography, 33: 2-22.
81. Tuomisto, H. 2010b. A consistent terminology for quantifying species diversity? Yes, it does exist. Oecologia, 4: 853-860.
82. Tuomisto, H. 2011. Commentary: do we have a consistent terminology for species diversity? Yes, if we choose to use it. Oecologia, 167: 903-911.
83. Turner, M C. 1990. Spatial and temporal analysis of landscape patterns. Landscape Ecol, 4: 21-30.
84. Turner, M G and Gardner, R H. 1991. Quantitative methods in landscape ecology: an introduction. Ecol Studies, 81: 3-14.
85. van der Maarel, E. 1975. The Braun-Blanquet approach in perspective. Vegetatio, 30: 213-219.
86. Walter, H. 1979. Vegetation of the earth and ecological systems of the geo-biosphere., 2nd ed, New York: Springer Verlag.
87. Whittaker, R H. 1972. Evolution and measurement of species diversity. Taxon, 21: 213-251.
88. Wilkinson, J H. 1965. The algebraic eigenvalue problem, London, UK: Oxford University Press.
89. Wilson, E O. 1992. The diversity of life, 424Cambridge, MA: Harward University Press.
90. Würtz, P and Annila, A. 2008. Roots of diversity relations. J Biophys, 2008: 1-8.