Effects of plot size on the ordination of vegetation samples

OTÝPKOVÁ, Zdenka and Milan CHYTRÝ. Effects of plot size on the ordination of vegetation samples. Journal of Vegetation Science. Uppsala: Opulus Press, 2006, vol. 17, No 4, p. 465-472. ISSN 110-9233.

Basic information

• Original name: Effects of plot size on the ordination of vegetation samples
• Name in Czech: Vliv velikosti plochy na ordinaci vegetačních snímků
• Authors: OTÝPKOVÁ, Zdenka (203 Czech Republic) and Milan CHYTRÝ (203 Czech Republic, guarantor).
• Edition: Journal of Vegetation Science, Uppsala, Opulus Press, 2006, 110-9233.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10600 1.6 Biological sciences
• Country of publisher: Sweden
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• RIV identification code: RIV/00216224:14310/06:00016145
• Organization unit: Faculty of Science
• UT WoS: 000241092700007
• Keywords in English: Beta-diversity; Cover-abundance data; Data set heterogeneity; Detrended Correspondence Analysis; Plant community; Presence/absence data; Principal Components Analysis
• Tags: beta-diversity, Cover-abundance data, Data set heterogeneity, detrended correspondence analysis, Plant community, Presence/absence data, Principal Components Analysis
• Tags: International impact, Reviewed

Abstract

Questions: Do ordination patterns differ when based on vegetation samples recorded in plots of different size? If so, how large is the effect of plot size relative to the effects of data set heterogeneity and of using presence/absence or cover-abundance data? Can we combine plots of different size in a single ordination? Methods: Two homogeneous and two heterogeneous data sets were sampled in Czech forests and grasslands. Coverabundances of plant species were recorded in series of five or six nested quadrats of increasing size (forest 49-961 m2; grassland 1-49 m2). Separate ordinations were computed for plots of each size for each data set, using either species presences/absences or cover-abundances recorded on an ordinal scale. Ordination patterns were compared with Procrustean analysis. Also, ordinations of data sets jointly containing plots of different size were calculated; effects of plot size were evaluated using a Monte Carlo test in constrained ordination. Results: The results were consistent between forest and grassland data sets. In homogeneous data sets, the effect of presence/ absence vs. cover-abundance was similar to, or larger than, the effect of plot size; for presence/absence data the differences between ordinations of differently sized plots were smaller than for cover-abundance data. In heterogeneous data sets, the effect of plot size was larger than the effect of presenceabsence vs. cover-abundance. The plots of smaller size (< 100 m2 in forests, < 4 m2 in grasslands) yielded the most deviating ordination patterns. Joint ordinations of differently sized plots mostly did not yield patterns that would be artifacts of different plot size, except for plots from the homogeneous data sets that differed in size by a factor of four or higher. Conclusions: Variation in plot size does influence ordination patterns. Smaller plots tend to produce less stable ordination patterns, especially in data sets with low beta-diversity and species cover-abundances. Data sets containing samples from plots of different sizes can be used for ordination if they represent vegetation with large beta-diversity. However, if data sets are homogeneous, i.e. with low beta-diversity, the differences in plot sizes should not be very large, in order to avoid the danger of plot size differences distorting the real vegetation differentiation in ordination patterns.

Abstract (in Czech)

Questions: Do ordination patterns differ when based on vegetation samples recorded in plots of different size? If so, how large is the effect of plot size relative to the effects of data set heterogeneity and of using presence/absence or cover-abundance data? Can we combine plots of different size in a single ordination? Methods: Two homogeneous and two heterogeneous data sets were sampled in Czech forests and grasslands. Coverabundances of plant species were recorded in series of five or six nested quadrats of increasing size (forest 49-961 m2; grassland 1-49 m2). Separate ordinations were computed for plots of each size for each data set, using either species presences/absences or cover-abundances recorded on an ordinal scale. Ordination patterns were compared with Procrustean analysis. Also, ordinations of data sets jointly containing plots of different size were calculated; effects of plot size were evaluated using a Monte Carlo test in constrained ordination. Results: The results were consistent between forest and grassland data sets. In homogeneous data sets, the effect of presence/ absence vs. cover-abundance was similar to, or larger than, the effect of plot size; for presence/absence data the differences between ordinations of differently sized plots were smaller than for cover-abundance data. In heterogeneous data sets, the effect of plot size was larger than the effect of presenceabsence vs. cover-abundance. The plots of smaller size (< 100 m2 in forests, < 4 m2 in grasslands) yielded the most deviating ordination patterns. Joint ordinations of differently sized plots mostly did not yield patterns that would be artifacts of different plot size, except for plots from the homogeneous data sets that differed in size by a factor of four or higher. Conclusions: Variation in plot size does influence ordination patterns. Smaller plots tend to produce less stable ordination patterns, especially in data sets with low beta-diversity and species cover-abundances. Data sets containing samples from plots of different sizes can be used for ordination if they represent vegetation with large beta-diversity. However, if data sets are homogeneous, i.e. with low beta-diversity, the differences in plot sizes should not be very large, in order to avoid the danger of plot size differences distorting the real vegetation differentiation in ordination patterns.

Links

• GA206/05/0020, research and development project: Name: Vegetace České republiky: formalizovaná typizace, monografie a expertní systém

Investor: Czech Science Foundation, Vegetation of the Czech Republic: formalized typology, monograph and expert system

• MSM0021622416, plan (intention): Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase

Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time