Reproducibility of species lists, visual cover estimates and frequency methods for recording high‐mountain vegetation

Question: When multiple observers record the same spatial units of alpine vegetation, how much variation is there in the records and what are the consequences of this variation for monitoring schemes to detect changes? Location: One test summit in Switzerland (Alps) and one test summit in Scotland (Cairngorm Mountains). Method: Eight observers used the GLORIA protocols for species composition and visual cover estimates in percentages on large summit sections (>100 m2) and species composition and frequency in nested quadrats (1 m2). Results: The multiple records from the same spatial unit for species composition and species cover showed considerable variation in the two countries. Estimates of pseudo-turnover of composition and coefficients of variation of cover estimates for vascular plant species in 1 m × 1-m quadrats showed less variation than in previously published reports, whereas our results in larger sections were broadly in line with previous reports. In Scotland, estimates for bryophytes and lichens were more variable than for vascular plants. Conclusions: Statistical power calculations indicated that unless large numbers of plots were used, changes in cover or frequency were only likely to be detected for abundant species (exceeding 10% cover) or if relative changes were large (50% or more). Lower variation could be reached with the point method and with larger numbers of small plots. However, as summits often strongly differ from each other, supplementary summits cannot be considered as a way of increasing statistical power without introducing a supplementary component of variance into the analysis and hence into the power calculations.

[1]  Antoine Guisan,et al.  How reliable is the monitoring of permanent vegetation plots? A test with multiple observers , 2007 .

[2]  M. Kéry,et al.  How biased are estimates of extinction probability in revisitation studies? , 2006 .

[3]  F. Richard,et al.  Can we reliably estimate species richness with large plots? an assessment through calibration training , 2009, Plant Ecology.

[4]  S. Nilsson,et al.  Experimental Estimates of Census Efficiency and Pseudoturnover on Islands: Error Trend and Between-Observer Variation when Recording Vascular Plants , 1985 .

[5]  Gian-Reto Walther,et al.  One century of vegetation change on Isla Persa, a nunatak in the Bernina massif in the Swiss Alps , 2008 .

[6]  Hees,et al.  Ocular estimates of understory vegetation structure in a closed Picea glauca/Betula papyrifera forest , 2000 .

[7]  D. Goodall,et al.  Some considerations in the use of point quadrats for the analysis of vegetation. , 1952, Australian journal of scientific research. Ser. B: Biological sciences.

[8]  L. Klimeš,et al.  Scale-dependent variation in visual estimates of grassland plant cover , 2003 .

[9]  D. J. Helm,et al.  Reproducibility of vegetation cover estimates in south-central Alaska forests , 2004 .

[10]  Jan Lepš,et al.  How reliable are our vegetation analyses , 1992 .

[11]  R. Chevalier,et al.  Effects of sampling time, species richness and observer on the exhaustiveness of plant censuses , 2006 .

[12]  A. Guisan,et al.  Assessing alpine plant vulnerability to climate change: a modeling perspective , 2000 .

[13]  James D. Nichols,et al.  Monitoring of biological diversity in space and time , 2001 .

[14]  C. Everson,et al.  A comparison of six methods of botanical analysis in the montane grasslands of Natal , 1987, Vegetatio.

[15]  Otto Wildi,et al.  Statistical Design and Analysis in Long-Term Vegetation Monitoring , 2001 .

[16]  Joy B. Zedler,et al.  Effects of sampling teams and estimation methods on the assessment of plant cover , 2003 .

[17]  Accurate determination of vegetational change in meadows by successive point quadrat analysis , 1991, Vegetatio.

[18]  G. Grabherr,et al.  Long-Term Monitoring of Mountain Peaks in The Alps , 2001 .

[19]  F. Archaux Could we obtain better estimates of plot species richness from multiple‐observer plant censuses? , 2009 .

[20]  W. Scott,et al.  Assessing species misidentification rates through quality assurance of vegetation monitoring , 2003, Plant Ecology.

[21]  G. Grabherr,et al.  Climate effects on mountain plants , 1994, Nature.

[22]  H. Birks,et al.  Recent increases in species richness and shifts in altitudinal distributions of Norwegian mountain plants , 2003 .

[23]  G. Grabherr,et al.  Effects of climate change on mountain ecosystems -- Upward shifting of alpine plants , 1996 .

[24]  Stefan Dullinger,et al.  A regional impact assessment of climate and land‐use change on alpine vegetation , 2003 .

[25]  Marc Kéry,et al.  Monitoring programs need to take into account imperfect species detectability , 2004 .

[26]  Andrew N. Gray,et al.  Repeatability and implementation of a forest vegetation indicator , 2005 .

[27]  Precision in monitoring plant species composition in montane grasslands , 1990, Vegetatio.

[28]  G. Walther,et al.  Trends in the upward shift of alpine plants , 2005 .

[29]  T. Kučera,et al.  Scale‐dependent biases in species counts in a grassland , 2001 .

[30]  G. Grabherr,et al.  Signals of range expansions and contractions of vascular plants in the high Alps: observations (1994–2004) at the GLORIA * master site Schrankogel, Tyrol, Austria , 2007 .

[31]  A. Guisan,et al.  Monitoring Networks for Testing Model-Based Scenarios of Climate Change Impact on Mountain Plant Distribution , 2005 .