A comparison and evaluation of some phytosociological techniques

Moore, J. J.; Fitzsimons, Stephen; Lambe, E.; White, Jon A.

doi:10.1007/bf01965526

Cited by 80 publications

(31 citation statements)

References 21 publications

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“…The floristic and phytosociological surveys were essential for the analysis of species diversity in each area and also to assess the potential of the environmental technology used in accelerating the succession process. Many authors emphasize the importance of these surveys for the restoration of degraded areas (Moore et al 1970;Wikum and Shanholtz 1978;Lamb 1998 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 5.00 0.00 0.00 ----0.00 0.00 0.00 5.00 ----Solidago chilensis Meyen 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Sonchus asper (L.) Hill 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00…”

Section: Resultsmentioning

confidence: 99%

Management of the environmental restoration of degraded areas

Araujo

Dziedzic

Maranho

2014

Braz. arch. biol. technol.

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Section: Resultsmentioning

confidence: 99%

Management of the environmental restoration of degraded areas

Araujo

Dziedzic

Maranho

2014

Braz. arch. biol. technol.

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“…This is true of the Qe~ka-Roemer program (12eska & Roemer 1971, see also Hartigan 1972) as well as most other numerical classificatian methods. One exception to this generalisation is the PHYTO program of Moore et al (1970).…”

Section: Models and Methodsmentioning

confidence: 95%

“…Williams ' et al (1966) speculations on the relationships between traditional tabular sorting and numerical classification have been revised recently by (;egka & Roemer (1971) and Moore, Fitzsimmons, Lambe & White (1970). C~e~ka and Roemer emphasized the symmetry of treatment of stands and species in the traditional methods which contrasts with the distinction commonly made in numerical studies between normal (stand grouping) analyses and inverse (species grouping) analyse~.…”

Section: Models and Methodsmentioning

confidence: 96%

Numerical methods for the establishment of associations

Dale

Webb

1975

Plant Ecol

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“…The traditional phytosociological approach is preferential sampling (BRAUN-BLANQUET 1964, MOORE et al 1970, PODANI 1984, KENKEL et al 1989, KENT & COKER 1992. It starts with the quick screening of vegetation variability in the landscape or in the particular locality, during which vegetation types are delimited in a researcher's mind.…”

Section: Preferential Samplingmentioning

confidence: 99%

“…If there was no spatial autocorrelation (LEGENDRE 1993, KOENIG 1999, LEGENDRE et al 2002, RICOTTA 2007 and periodical vegetation patterns (in case of systematic sampling; KENT & COKER 1992), independent data could really be sampled this way. However, even if statistical independence was achieved, it would not be enough, because it does not guarantee ecological representativeness of the data (MOORE et al 1970), which is the basic condition necessary for obtaining ecologically relevant results.…”

Section: Simple Random Sampling and Systematic Samplingmentioning

confidence: 99%

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

et al. 2007

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Abstract:Most of the historical phytosociological data on vegetation composition have been sampled preferentially and thus belong to those ecological data that do not fulfill the statistical assumption of independence of observations, necessary for valid statistical testing and inference. Nevertheless, phytosociological data have been recently used for various ecological meta-analyses, especially in studies of large-scale vegetation patterns. For this reason, we focus on the comparison of preferential sampling with other sampling designs that have been recommended as more convenient alternatives from the point of view of statistical theory. We discuss that while simple random sampling, systematic sampling and stratified random sampling better meet some of the statistical assumptions, preferential sampling yields data sets that cover a broader range of vegetation variability. Moreover, today's large phytosociological databases provide huge amounts of vegetation data with unrivalled geographic extent and density. We conclude that in the near future ecologists will not be able to replace the preferentially sampled phytosociological data in large-scale studies. At the same time, phytosociological databases have to be complemented with relevés of vegetation composed mostly of common and generalist species, which are under-represented in historical data. Stratified random sampling seems to be a suitable tool for doing this. Nevertheless, a methodology and input data for stratification have to be developed to make stratified random sampling an ecologically more relevant and practical method.

show abstract

A comparison and evaluation of some phytosociological techniques

Cited by 80 publications

References 21 publications

Management of the environmental restoration of degraded areas

Management of the environmental restoration of degraded areas

Numerical methods for the establishment of associations

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

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