Classification of Natural and Semi‐natural Vegetation
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[1] Ladislav Mucina,et al. European vegetation survey: current state of some national programmes. , 1993 .
[2] János Podani. Comparison of Fuzzy Classifications , 1991 .
[3] E. Maarel,et al. The Braun-Blanquet Approach , 1978 .
[4] J. Schaminée,et al. TURBOVEG, a comprehensive data base management system for vegetation data , 2001 .
[5] Stephan Hennekens,et al. Assignment of relevés to pre-defined classes by supervised clustering of plant communities using a new composite index , 2008 .
[6] D. W. Goodall,et al. Sample Similarity and Species Correlation , 1978 .
[7] M. Chytrý,et al. Statistical determination of diagnostic species for site groups of unequal size , 2006 .
[8] D. Faith,et al. Compositional dissimilarity as a robust measure of ecological distance , 1987, Vegetatio.
[9] János Podani,et al. Detecting indicator species: Some extensions of the IndVal measure , 2010 .
[10] Z. Hubálek. COEFFICIENTS OF ASSOCIATION AND SIMILARITY, BASED ON BINARY (PRESENCE‐ABSENCE) DATA: AN EVALUATION , 1982 .
[11] W. T. Williams,et al. Multivariate Methods in Plant Ecology: V. Similarity Analyses and Information-Analysis , 1966 .
[12] M. O. Hill,et al. TWINSPAN: a FORTRAN program of arranging multivariate data in an ordered two way table by classification of individual and attributes , 1979 .
[13] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[14] László Orlóci,et al. An Agglomerative Method for Classification of Plant Communities , 1967 .
[15] Martin Kent,et al. Vegetation Description and Data Analysis: A Practical Approach , 2011 .
[16] J. Wilson. Species presence/absence sometimes represents a plant community as well as species abundances do, or better , 2012 .
[17] William H. McWilliams,et al. Forest Inventory and Analysis Database of the United States of America (FIA) , 2012 .
[18] Robert H. Whittaker,et al. Classification of natural communities , 2008, The Botanical Review.
[19] Jaroslav Moravec,et al. International Code of Phytosociological Nomenclature. 3rd edition , 2000 .
[20] E. W. Beals,et al. Bray-curtis ordination: an effective strategy for analysis of multivariate ecological data , 1984 .
[21] R. Sokal,et al. Principles of numerical taxonomy , 1965 .
[22] K. R. W. Brewer,et al. The use of gradient directed transects or gradsects in natural resource surveys , 1985 .
[23] Milan Chytrý,et al. Plot sizes used for phytosociological sampling of European vegetation , 2003 .
[24] J. Lambert,et al. Investigations into the Properties of Quantitative Vegetational Data: II. Further Data Type Comparisons , 1976 .
[25] Nick Spencer,et al. SPECIAL FEATURE: ECOINFORMATICS Veg-X - an exchange standard for plot-based vegetation data , 2011 .
[26] Panayotis Dimopoulos,et al. A new algorithm for the determination of differential taxa , 2009 .
[27] Bruce McCune,et al. Improving community analysis with the Beals smoothing function , 1994 .
[28] Daniel P. Faith,et al. Compositional dissimilarity as a robust measure of ecological distance , 1987, Vegetatio.
[29] L. Hubert,et al. A general statistical framework for assessing categorical clustering in free recall. , 1976 .
[30] László Orlóci,et al. Analysis of concentration and detection of underlying factors in structured tables , 1979, Vegetatio.
[31] E. van der Maarel,et al. Transformation of cover-abundance values in phytosociology and its effects on community similarity , 1979, Vegetatio.
[32] Leo A. Goodman,et al. Corrigenda: Measures of Association for Cross Classifications , 1957 .
[33] Jason D. Fridley,et al. CONNECTING FINE‐ AND BROAD‐SCALE SPECIES–AREA RELATIONSHIPS OF SOUTHEASTERN U.S. FLORA , 2005 .
[34] R. Whittaker,et al. Structure, pattern, and diversity of a mallee community in New South Wales , 1979, Vegetatio.
[35] D. Moss,et al. The Diversity of European Vegetation: an overview of phytosociological alliances and their relationships to EUNIS habitats , 2002 .
[36] Milan Chytrý,et al. Determination of diagnostic species with statistical fidelity measures , 2002 .
[37] Xavier Font,et al. The management of vegetation classifications with fuzzy clustering , 2010 .
[38] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[39] T. M. Smith,et al. A new model for the continuum concept , 1989 .
[40] R. W. Becking. The zürich-montpellier school of phytosociology , 1957, The Botanical Review.
[41] J. T. Curtis,et al. An Ordination of the Upland Forest Communities of Southern Wisconsin , 1957 .
[42] M. Austin,et al. A new model for the continuum concept , 1989, Vegetatio.
[43] D. H. Knight,et al. Aims and Methods of Vegetation Ecology , 1974 .
[44] William A. Bechtold,et al. The enhanced forest inventory and analysis program - national sampling design and estimation procedures , 2005 .
[45] Transformation of cover-abundance values for appropriate numerical treatment – Alternatives to the proposals by Podani , 2007 .
[46] F. Oliva,et al. Assessing species diagnostic value in large data sets: A comparison between phi-coefficient and Ochiai index , 2008 .
[47] J. Ludwig,et al. Statistical ecology: a primer on methods & computing , 1988 .
[48] Jörg Ewald,et al. A critique for phytosociology , 2003 .
[49] Frank van der Meulen,et al. Optimum-transformation of plant species cover-abundance values , 1989, Vegetatio.
[50] Jean-Claude Gégout,et al. The right relevé in the right vegetation unit: a new typicality index to reproduce expert judgement with an automatic classification programme , 2012 .
[51] H. E. Brogden. A new coefficient: Application to biserial correlation and to estimation of selective efficiency , 1949, Psychometrika.
[52] 鈴木 時夫. ○植生研究の問題と方法(Aufgaben und Methoden der Vegetationskunde) ELLENBERG, H. 1956,Heinrich Walter. Einfuhrung in die phytologie IV. 1 Teil. ss. 136. Eugen Ulmer, Stuttgart, \1030 , 1958 .
[53] B. McCune,et al. Analysis of Ecological Communities , 2002 .
[54] Wim A. Ozinga,et al. Use of the ecological information system SynBioSys for the analysis of large datasets , 2007 .
[55] R. Bailey. Ecoregions of the United States , 2009 .
[56] D. Goodall. Objective methods for the classification of vegetation. II. Fidelity and indicator value , 1953 .
[57] Helge Bruelheide,et al. Towards unification of national vegetation classifications: A comparison of two methods for analysis of large data sets , 2000 .
[58] Albert E. Radford,et al. Manual of the Vascular Flora of the Carolinas , 1970 .
[59] Robert D. Pfister,et al. Classifying Forest Habitat Types Based on Potential Climax Vegetation , 1980 .
[60] Claire Waterton. From Field to Fantasy , 2002 .
[61] Shawn Bowers,et al. The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere , 2006 .
[62] M. Chytrý,et al. Bias in vegetation databases? A comparison of stratified-random and preferential sampling. , 2011 .
[63] G. N. Lance,et al. A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems , 1967, Comput. J..
[64] Attila Lengyel,et al. Heterogeneity‐constrained random resampling of phytosociological databases , 2011 .
[65] F. James Rohlf,et al. Biometry: The Principles and Practice of Statistics in Biological Research , 1969 .
[66] János Podani. Simulation of Random Dendrograms and Comparison Tests: Some Comments , 2000, J. Classif..
[67] Maurice K. Wong,et al. Algorithm AS136: A k-means clustering algorithm. , 1979 .
[68] Don Faber-Langendoen,et al. VegBank – a permanent, open-access archive for vegetation-plot data , 2012 .
[69] H. Wehrden,et al. Surveying Southern Mongolia: application of multivariate classification methods in drylands with low diversity and long floristic gradients , 2011 .
[70] P. Legendre,et al. SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACH , 1997 .
[71] M. B. Dale,et al. The Use of Statistics in Phytosociology , 1964 .
[72] János Podani,et al. Multivariate exploratory analysis of ordinal data in ecology: Pitfalls, problems and solutions , 2005 .
[73] Ladislav Mucina,et al. Classification of vegetation: past, present and future , 1997 .
[74] Ben Collen,et al. Establishing IUCN Red List Criteria for Threatened Ecosystems , 2010, Conservation biology : the journal of the Society for Conservation Biology.
[75] Nico M. Franz,et al. 5 On the Use of Taxonomic Concepts in Support of Biodiversity Research and Taxonomy , 2006 .
[76] Ladislav Mucina,et al. Common data standards for recording relevés in field survey for vegetation classification. , 2000 .
[77] Miguel Equihua,et al. Fuzzy clustering of ecological data. , 1990 .
[78] Helge Bruelheide,et al. Arranging phytosociological tables by species‐relevé groups , 1994 .
[79] Milan Chytrý,et al. Stratified resampling of phytosociological databases: some strategies for obtaining more representative data sets for classification studies , 2005 .
[80] Ken Aho,et al. Using geometric and non-geometric internal evaluators to compare eight vegetation classification methods , 2008 .
[81] Jan Lepš,et al. Multivariate Analysis of Ecological Data using CANOCO , 2003 .
[82] Q. Wheeler. The New Taxonomy , 2008 .
[83] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[84] R. Whittaker. Vegetation of the Siskiyou Mountains, Oregon and California , 1960 .
[85] W. Willner,et al. Effects of different fidelity measures and contexts on the determination of diagnostic species , 2009 .
[86] Xavier Font,et al. Numerical reproduction of traditional classifications and automatic vegetation identification. , 2009 .
[87] P. White,et al. A Flexible, Multipurpose Method for Recording Vegetation Composition and Structure , 1998 .
[88] Milan Chytrý,et al. Sampling design in large-scale vegetation studies: Do not sacrifice ecological thinking to statistical purism! , 2007, Folia Geobotanica.
[89] Milan Chytrý,et al. Supervised classification of plant communities with artificial neural networks , 2005 .
[90] J. Dengler,et al. A flexible multi-scale approach for standardised recording of plant species richness patterns , 2009 .
[91] J. T. Curtis,et al. The Vegetation of Wisconsin , 1962 .
[92] Don Faber-Langendoen,et al. Standards for associations and alliances of the U.S. National Vegetation Classification , 2009 .
[93] Milan Chytrý,et al. Modified TWINSPAN classification in which the hierarchy respects cluster heterogeneity , 2009 .
[94] P. White,et al. The distance decay of similarity in biogeography and ecology , 1999 .
[95] H. Gleason,et al. The individualistic concept of the plant association , 1939 .
[96] Mike P. Austin,et al. Vegetation survey design for conservation: Gradsect sampling of forests in North-eastern New South Wales , 1989 .
[97] J. Oldeland,et al. The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science , 2011 .
[98] C. Woodcock,et al. Theory and methods for accuracy assessment of thematic maps using fuzzy sets , 1994 .
[99] Florian Jansen,et al. Plant names in vegetation databases – a neglected source of bias , 2010 .
[100] Miquel De Cáceres,et al. Improving indicator species analysis by combining groups of sites , 2010 .
[101] Miquel De Cáceres,et al. Towards consistency in vegetation classification , 2012 .
[102] J. Podani,et al. A general strategy for the simultaneous classification of variables and objects in ecological data tables , 1991 .
[103] Ladislav Mucina,et al. European Vegetation Survey: update on progress , 1995 .
[104] Bernard L. Kovalchik,et al. Forest habitat types of Montana. , 1977 .
[105] Zoltán Botta-Dukát,et al. OptimClass: Using species‐to‐cluster fidelity to determine the optimal partition in classification of ecological communities , 2010 .
[106] T. Stohlgren,et al. A Modified-Whittaker nested vegetation sampling method , 1995, Vegetatio.
[107] J. S. Rodwell,et al. Vegetation-plot data and databases in Europe: an overview , 2008 .
[108] O. Wildi. Data Analysis in Vegetation Ecology , 2010 .
[109] Zoltán Botta-Dukát,et al. Determination of diagnostic species with statistical fidelity measures , 2002 .
[110] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[111] Helge Bruelheide,et al. A new measure of fidelity and its application to defining species groups , 2000 .
[112] J. Dengler,et al. Species constancy depends on plot size – a problem for vegetation classification and how it can be solved , 2009 .