Sampling design in large-scale vegetation studies: Do not sacrifice ecological thinking to statistical purism!

Folia Geobotanica

Volumn 42, Issue 2, 2007, Pages 199-208

  Roleček, Jan ^a   Chytrý, Milan ^a   Hájek, Michal ^a,b   Lvončík, Samuel ^a   Tichý, Lubomír ^a  

^a MASARYK UNIVERSITY   (Czech Republic)

^b INSTITUTE OF BOTANY   (Czech Republic)

Author keywords

Ecological methodology; Large scale vegetation patterns; Macroecology; Phytosociology; Spatial scale; Statistical testing; Vegetation databases

Indexed keywords

MACROECOLOGY; PHYTOSOCIOLOGY; SAMPLING; STATISTICAL ANALYSIS; VEGETATION;

EID: 34347327238     PISSN: 12119520     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02893886     Document Type: Article

References (48)

1. AUSTIN M.P. & HEYLIGERS P.C. (1989): Vegetation survey design for conservation: Gradsect sampling of forests in Northeast New South Wales. Biol. Conservation 50: 13-32.
2. BLACKBURN T.M. & GASTON K.J. (2003): Macroecology. Concepts and consequences. Cambridge University Press, Cambridge.
3. BOTTA-DUKÁT Z., CHYTRÝ M., HÁJKOVÁ P. & HAVLOVÁ M. (2005): Vegetation of lowland wet meadows along a climatic continentality gradient in Central Europe. Preslia 77: 89-111.
4. BRAUN-BLANQUET J. (1964): Pflanzensoziologie. Grundzüge der Vegetationskunde. Ed. 3. Springer, Wien.
5. BREIMAN L. (2001): Statistical modelling: The two cultures. Statist. Sci. 16: 199-231.
6. BREIMAN L., FRIEDMAN J.H., OLSHEN R.A. & STONE C.G. (1984): Classification and regression trees. Wadsworth International Group, Belmont.
7. BROWP J. H. (1999): Macroecology: progress and prospect. Oikos 87: 3-14.
8. BUNCE R.G.H., BARR C.J., CLARKE R.T., HOWARD D.C. & LANE A.M.J. (1996): Land classification for strategic ecological survey. J. Environm. Managem. 47: 37-60.
9. CHYTRÝ M. (2001): Phytosociological data give biased estimates of species richness. J. Veg. Sci. 12: 439-444.
10. CHYTRÝ M., PYŠEK P., TICHÝ, L., KNOLLOVÁ I. & DANIHELKA J. (2005): Invasions by alien plants iA the Czech Republic: a quantitative assessment across habitats. Preslia 77: 339-354.
11. CHYTRÝ M., & RAFAJOVÁ M. (2003): Czech National Phytosociological Database: Basic statistics of the available vegetation-plot data. Preslia 75: 1-15.
12. CHYTRÝ M., TICHÝ L. & ROLEČEK J. (2003 : Local and regional patterns of species richness in Central European vegetation types along the pH/calcium gradient. Folia Geobot. 38: 429-442.
13. COCHRAN W.G. (1977): Sampling techniques. Ed. 3. Wiley, New York.
14. EWALD J. (2003): A critique for phytosociology. J. Veg. Sci. 14: 291-296.
15. FANELLI G., BLANCO M.P., CAZZAGON P., D'ANGELI D., DE CORSO S., DE SANCTIS M., GIOIA P., RAMELLO A., RINIERI G., SERAFINI SAULI A., TESCAROLLO P., TESTI A. & PIGNATTI S. (2005): Remote sensing in phytosociology: The map of vegetation of the Provincia of Rome. Ann. Bot. (Rome), Nuova Ser. 5: 171-181.
16. GOEDICKEMEIER I., WILDI O. & KIENAST F. (1997): Sampling for vegetation survey: Some properties of a GIS-based stratification compared to other statistical sampling methods. Coenoses 12: 43-50.
17. GRABHERR G., REITER K. & WILLNER W. (2003): Towards objectivity in vegetation classification: The example of the Austrian forests. Pl. Ecol. 169: 21-34.
18. HAILA Y. & MARGULES C.R. (1996): Survey research in conservation biology. Ecography 19: 323-331.
19. HÁJEK M. & HÁJKOVÁ P. (2004): Environmental determinants of variation in Czech Calthion wet meadows: A synthesis of phytosociological data. Phytocoenologia 34: 33-54.
20. HENNEKENS S.M. & SCHAMIN_ACEE J.H.J. (2001): TURBOVEG, a comprehensive data base management system for vegetation data. J. Veg. Sci. 12: 589-591.
21. HIRZEL A. & GUISAN A. (2002): Which is the optimal sampling strategy for habitat suitability modelling. Ecol. Modelling 157: 331-341.
22. HOLEKSA J. & WOZNIAK G. (2005): Biased vegetation patterns and detection of vegetation changes using phytosociological databases. A case study in the forests of the Babia Góra National Park (the West Carpathians, Poland). Phytocoenologia 35: 1-18.
23. KENKEL N.C., JUHÁSZ-NAGY P. & PODANI J. (1989): On sampling procedures in population and community ecology. Vegetatio 83: 195-207.
24. KENT M. & COKER P. (1992): Vegetation description and analysis. A practical approach. CRC Press, Boca Raton.
25. KNOLLOVÁ I., CHYTRÝ M., TICHÝ L. & HÁJEK O. (2005): Stratified resampling of phytosociological databases: Some strategies for obtaining more representative data sets for classification studies. J. Veg. Sci. 16: 479-486.
26. KOENIG W.D. (1999): Spatial autocorrelation of ecological phenomena. Trends Ecol. Evol. 14: 22-26.
27. LÁJER K. (2007): Statistical tests as inappropriate tools for data analysis performed on non-random samples of plant communities. Folia Geobot. 42: 115-122.
28. LEGENDRE P. (1993): Spatial autocorrelation: Trouble or new paradigm? Ecology 74: 1659-1673.
29. LEGENDRE P., DALE M.R.T., FORTIN M.J., GUREVITCH J., HOHN M. & MYERS D. (2002): The consequences of spatial structure for the design and analysis of ecological field surveys. Ecography 25: 601-615.
30. LEGENDRE P. & LEGENDRE L. (1998): Numerical ecology. Ed. 2. Elsevier, Amsterdam.
31. LOSOSOVÁ Z., CHYTRÝ, M., CIMALOVÁ Š., OTÝPKOVÁ Z., PYŠEK P. & TICHÝ L. (2006): Classification of weed vegetation of arable land in the Czech Republic and Slovakia. Folia Geobot. 41: 259-273.
32. LVONĆÍK S. (2006): Lesni vegetace Slezské pahorkatiny a Ostravské pánve (Forest vegetation of the Slezká Uplands and Ostrava Basin). Diploma thesis, Masaryk University, Brno.
33. MARGULES C.R. & AUSTIN M.P. (1994): Biological models for monitoring species decline: The construction and use of data bases. Philos. Trans. R. Soc. London B 344: 69-75.
34. MOHLER C.L. (1983): Effect of sampling pattern on estimation of species distributions along gradients. Vegetation 54: 97-102.
35. MOORE J.J., FITZSIMONS P., LAMBE E. & WHITE J. (1970): A comparison and evaluation of some phytosociological techniques. Vegetatio 20: 1-20.
36. ØKLAND R.H. (2007): Wise use of statistical tools in ecological field studies. Folia Geobot. 42: 123-140.
37. PODANI J. (1984): Spatial processes in the analysis of vegetation. Theory and review. Acta Bot. Hung. 30: 75-118.
38. POPPER K.R. (1990): The logic of scientific discovery. Ed. 14. Unwin Hyman, London.
39. PYŠEK P., JAROŠÍK V., CHYTRÝ M., KROPÁČ Z., TICHÝ L. & WILD J. (2005): Alien plants in temperate weed communities: Prehistoric and recent invaders occupy different habitats. Ecology 86: 772-785.
40. RICOTTA C. (2007): Random sampling does not exclude spatial dependence: The importance of neutral models for ecological hypothesis testing. Folia Geobot. 42: 153-160.
41. RIPLEY B.D. (1996): Pattern recognition and neural networks. Cambridge University Press, Cambridge.
42. SCHMIDTLEIN S. & SASSIN J. (2004): Mapping of continuous floristic gradients in grasslands using hyperspectral imagery. Remote Sensing Environm. 92: 126-138.
43. SMART S.M., CLARKE R.T., VAN DE POLL H.M., ROBERTSON E.J., SHIELD E.R., BUNCE R.G.H. & MASKELL L.C. (2003): National-scale vegetation change across Britain; an analysis of sample-based surveillance data from the Countryside Surveys of 1990 and 1998. J. Environm. Managem. 67: 239-254.
44. STOHLGREN T.J., COUGHENOUR M.B., CHONG G.W., BINKLEY D., KALKHAN M.A., SCHELL L.D., BUCKLEY D.J. & BERRY J.K. (1997): Landscape analysis of plant diversity. Landscape Ecol. 12: 155-170.
45. TER BRAAK C.J.F. & ŠMILAUER P. (2002): CANOCO reference manual and CanoDraw for Windows user's guide. Software for Canonical Community Ordination (version 4.5). Biometris, Wageningen & České Budějovice.
46. VAPNIK V. (1998): Statistical learning theory. Wiley, New York.
47. WESSELS K.J., VAN JAARSVELD A.S., GRIMBEEK J.D. & VAN DER LINDE M.J. (1998): An evaluation of the gradsect biological survey method. Biodivers. & Conservation 7: 1093-1121.
48. WESTHOFF V. & VAN DER MAAREL E. (1978): The Braun-Blanquet approach. In: WHITTAKER R.H. (ed.), Classification of plant communities, W. Junk, The Hague, pp. 287-399.