Year-to-year changes in unfertilized meadows of great species richness detected by point quadrat analysis

Similar documents
SPECIES COMPOSITION AND STANDING CROP VARIATION IN AN UNFERTILIZED MEADOW AND ITS RELATIONSHIP TO CLIMATIC VARIABILITY DURING SIX YEARS

Effects of mowing and removing litter on reproductive shoot modules of some plant species in abandoned meadows of Monte San Giorgio

Earth s Major Terrerstrial Biomes. *Wetlands (found all over Earth)

Identifying faithful neighbours of rare plants in Britain; an application of the TPP dataset

Oikos. Appendix 1 OIK Conradi, T., Temperton, V. M. and Kollmann, J. 2017: Resource availability determines the importance of nichebased

Chapter 7 Part III: Biomes

Plant responses to climate change in the Negev

Environmental Science: Biomes Test

2018/05/11 13:04 1/2 Dune Meadow Data (Netherlands)

TUNDRA. Column 1 biome name Column 2 biome description Column 3 examples of plant adaptations

Chapter 6. Field Trip to Sandia Mountains.

Assisted colonization of native forbs the use of climate-adjusted provenances. Sue McIntyre

BEC Correlation Old field guide IDFdk1a 91,92 & 93 BGxh2 06 BGxw 06. Site Characteristics. Soils Black chernozems on morainal blanket.

Lecture 24 Plant Ecology

3 Temperate and Polar Zones

remain on the trees all year long) Example: Beaverlodge, Alberta, Canada

Where is the tropical zone? What are three biomes found in the tropical zone?

Bright blue marble floating in space. Biomes & Ecology

PURPOSE... i. Abbreviations... i. 1 Introduction Methods Compliance with Management Plans Results Discussion...

Provisional revision of the MG4 Alopecurus pratensis - Sanguisorba officinalis community Hilary Wallace and Mike Prosser

POPULATION TRENDS FOR TULARE PSEUDOBAHIA AND STRIPED ADOBE LILY

Scale-dependent variation in visual estimates of grassland plant cover

Biomes There are 2 types: Terrestrial Biomes (on land) Aquatic Biomes (in the water)

Plants and arthropods as bio-indicators in vineyard agroecosystem

Estimation of a Plant Density Exercise 4

Weathering and Soil Formation. Chapter 10

Evaluating Wildlife Habitats

Describe how ecosystems recover from a disturbance. Compare succession after a natural disturbance with succession after a human-caused disturbance.

Where is the tropical zone? What are three biomes found in the tropical zone?

Spheres of Life. Ecology. Chapter 52. Impact of Ecology as a Science. Ecology. Biotic Factors Competitors Predators / Parasites Food sources

Environmental Science

Chapter 52 An Introduction to Ecology and the Biosphere

2 Rates of Weathering

Introduction. Ecology is the scientific study of the interactions between organisms and their environment.

Climate Change & Alpine Plants:

Chapter 02 Life on Land. Multiple Choice Questions

Plant Water Stress Frequency and Periodicity in Western North Dakota

Chapter 6 Population and Community Ecology. Thursday, October 19, 17

3rd Six Weeks Pre-Test (Review)

Rangeland and Riparian Habitat Assessment Measuring Plant Density

ENVE203 Environmental Engineering Ecology (Nov 05, 2012)

Species pool distributions along functional trade-offs shape plant productivity diversity relationships: supplementary materials

Climate and Adaptations at the Fullerton Arboretum

UNIT 5: ECOLOGY Chapter 15: The Biosphere

Ecology. Ecology terminology Biomes Succession Energy flow in ecosystems Loss of energy in a food chain

VEGETATION EVA BOEHRINGER

Chapter 52: An Introduction to Ecology and the Biosphere

Lesson 9: California Ecosystem and Geography

Biosphere Biome Ecosystem Community Population Organism

Varying diversity patterns of vascular plants, bryophytes, and lichens at different spatial scales in central European landscapes

Biosphere. All living things, plants, animals, (even you!) are part of the zone of the earth called the biosphere.

What determines: 1) Species distributions? 2) Species diversity? Patterns and processes

Chapter 2 Agro-meteorological Observatory

forest tropical jungle swamp marsh prairie savanna pampas Different Ecosystems (rainforest)

5 MAPPING VEGETATION TYPES IN AN ALPINE AREA USING VEGETATION OBSERVATIONS AND DERIVATIVES OF A DIGITAL ELEVATION MODEL

Weathering. weathering involves breaking rocks without changing. As their roots grow and put pressure on rocks,

SOIL: DEFINITION, FORMATION! & LAYERS"

Conserving the diversity of forage genetic resources in managed grassland in Switzerland results and implementation

Chapter 3 Section 3 World Climate Regions In-Depth Resources: Unit 1

Organism Species Population Community Ecosystem

Supplementary material: Methodological annex

WHAT CAN MAPS TELL US ABOUT THE GEOGRAPHY OF ANCIENT GREECE? MAP TYPE 1: CLIMATE MAPS

Appendix A.8.4 Galway City Transport Project Assessment of Annex I habitats in the Ballygarraun survey area (Perrin, 2014)

Biomes Section 1. Chapter 6: Biomes Section 1: What is a Biome? DAY ONE

Mycorrhizal Fungi. Symbiotic relationship with plants -- form sheath around fine roots and extend hyphae into soil and sometimes into root cells

Chapter 6 Population and Community Ecology

Biosphere Organization

Interactive effects of elevated CO 2, P availability and legume presence on calcareous grassland: results of a glasshouse experiment

Summary of the World s Major Terrestrial Biomes

Fickeisen Plains Cactus (Pediocactus peeblesianus ssp. fickeiseniae)

WHEN CAN YOU SEED FALLOW GROUND IN THE FALL? AN HISTORICAL PERSPECTIVE ON FALL RAIN

Interactions among Land, Water, and Vegetation in Shoreline Arthropod Communities

The map shows ocean currents in the northern Atlantic Ocean. Which location most likely has the warmest climate?

Rocks and Weathering

Analysis of meteorological measurements made over three rainy seasons in Sinazongwe District, Zambia.

Changes in Texas Ecoregions Copy the questions and answers

Our climate system is based on the location of hot and cold air mass regions and the atmospheric circulation created by trade winds and westerlies.

Progress Report Year 2, NAG5-6003: The Dynamics of a Semi-Arid Region in Response to Climate and Water-Use Policy

over the next three weeks could lower this estimate significantly. Near perfect conditions are needed to realize this projected yield.

Fundamentals of THE PHYSICAL ENVIRONMENT. David Briggs, Peter Smithson, Kenneth Addison and Ken Atkinson

Population Ecology and the Distribution of Organisms. Essential Knowledge Objectives 2.D.1 (a-c), 4.A.5 (c), 4.A.6 (e)

Texas Wildland Fire Season Outlook. for. Winter 2009

How does the greenhouse effect maintain the biosphere s temperature range? What are Earth s three main climate zones?

Good Morning! When the bell rings we will be filling out AP Paper work.

A Small Migrating Herd. Mapping Wildlife Distribution 1. Mapping Wildlife Distribution 2. Conservation & Reserve Management

Thompson Nicola Fraser Middle Grasslands

A revision of the Alopecurus pratensis - Sanguisorba officinalis (MG4) grassland community of the NVC 2014

BIO B.4 Ecology You should be able to: Keystone Vocabulary:

Seasonal and Spatial Patterns of Rainfall Trends on the Canadian Prairie

Ecological Succession

Karr J.R. and D.R. Dudley Ecological perspective on water quality goals. Environmental Manager 5:55-68.

How does the physical environment influence communities and ecosystems? Hoodoos in Cappadocia, Turkey

Biomes Section 2. Chapter 6: Biomes Section 2: Forest Biomes DAY ONE

Plant Growth and Development Part I I

Ecosystem classification in the Central Rocky Mountains, Utah

COMMON CORE Lessons & Activities

Ecology for Planting Design - understanding long-term plant performance. (C) Noel Kingsbury 2016

1 What Is Climate? TAKE A LOOK 2. Explain Why do areas near the equator tend to have high temperatures?

Define Ecology. study of the interactions that take place among organisms and their environment

Transcription:

Vegetatio 13: 125-132, 1992.. Hegg (ed.). Succession Research on Permanent Plots in Mountain Areas. 1992 Kluwer Academic Publishers. Printed in Belgium. 125 Year-to-year changes in unfertilized meadows of great species richness detected by point quadrat analysis A. Stampfii Systematisch-Geobotanisches Institut der Universitiit Bern, Altenbergrain 21, CH-313 Bern, Switzerland Keywords: Abandonment, Fluctuation, Mesobrometum, Permanent plot, Succession, Weather Abstract An experimental study site in an unfertilized meadow of great species richness at Negrentino (82 m) in Southern Switzerland has been investigated by successive point quadrat analysis since 1988. Two different managements, traditional mowing and abandonment, were realized on 3 x 6 plots of 2 x 22 cm. On each plot point frequency (sensu Goodall 1952) was sampled at spaces of 1 cm using Fig. I. Study site in June 199.

126 the same 11 x 16 points every year. On all the plots 71 species were recorded within the four year period of 1988-1991. Small spatial differences and vegetational changes in time are interpreted on an ordination diagram of correspondence analysis. Differences between successional and fluctuational changes are recognized already in the early phase. On one plot a peak of phytocyclic fluctuation connected with a mass development of Trifolium repens was observed. Many species show significant year-to-year frequency changes. Taxa positively and negatively affected by abandonment are presented. Management and dry weather conditions in April and May are considered to be the main causes of trends and fluctuations. Nomenclature: for vascular plants: Binz & Heitz (1986), Schul- und Exkursionsflora fiir die Schweiz, Schwabe, Basel; for syntaxa: Ellenberg (1978), Vegetation Mitteleuropas mit den Alpen, Ulmer, Stuttgart. Introduction In Ticino, Southern Switzerland, the area of unfertilized meadows of great species richness has quickly declined within the last forty years because of substantial changes in landuse practices. Whereas farming of meadows in the valleybottom has been intensified by chemical fertilizers, inclined areas in the montane zone have most often been abandoned. As in other parts of temperate Europe, abandonment reduces the species diversity (Bakker 1989). Former meadows have changed into species-poor grasslands dominated by Brachypodium pinnatum, or turned into shrub and woodlands. The main idea of starting a field experiment in one of the few remaining meadows of great species richness where hay-making is still practised, was to observe the early phases of secondary succession. It is the aim of this paper to summarize the results of the first period, 1988-1991. Many more years will be necessary to answer the main questions: - How quickly do the different plant species change, when traditional mowing is stopped? - After what time can the process of secondary succession still be reversed without the loss of many plant species? Study site The study site is located at an elevation of 82 m, close to the old church of San Carlo di Negrentino (Valle di Blenio, Southern Switzerland). It is embedded in a south facing slope of up to 2. Annual rainfall (about 13 mm) is distinctly lower than in surrounding alpine and lnsubrian areas. The grass is cut by local farmers twice a year, around the end of June and in fall. The species composition of the study site reflects features of Mesobromion communities. As the soils are moderately acid, ph= 5.4 (top of soil sample, measured in water), deeply weathered (thickness of A- and B-horizons: 15 cm) and of a rather low nutrient content, there is a high abundance of Festuca tenuifolia and Danthonia decumbens, both indicating poor soils. Nevertheless some species of a slightly manured Trisetion community situated close by are also present. The varying occurrence of big rocks within the soil creates more or less dry micro-environmental conditions. The species density of the meadow is very high, and most of the species appeared to be quite evenly distributed. Areas of up to 5 vascular plant species per square meter can be found. The structure of the meadow in June is rather complex (Stampfli 1991).

127...... cm 2 9 Fig. 2. Experimental design showing a-plots (mown) and b-plots (abandoned). Experimental design and method Enclosed within a fence, the study site consists of 18 plots of 4.4 square meters separated by small pathways (Fig. 1, Fig. 2). A regular experimental design was choosen to prove spatial gradients. Whereas mowing is continued on a-plots using a scythe, b-plots were abandoned after the first analysis in June 1988. So far the point quadrat method has not been widely used for permanent plot studies in meadows of great species richness, probably because of time expense. In this study on year-to-year changes it has been preferred because other methods are less accurate (cover estimates), unsuitable (frequency determination using small quadrats) or even more time-consuming (charting plant locations, biomass measurements of standing crop by species). All the plots include a main area, where frequency sensu Goodall (1952) is sampled using the same 17 6 points at a distance of 1 cm every year (Fig. 3). The sampling equipment including a needle of 3 mm in diameter, an apparatus of high rigidity, a water-level, guide lines and permanent marks for exact needle localization, a greenhouse to protect from wind and rain, as well as further details concerning the method and its accuracy were recently described (Stampfii 1991). lf't... cm 35 15 ~ i r ~ standing crop D 1 15 35 1 I I reproductive shoots. point frequency Fig. 3. Single plot area (covered by greenhouse) including four permanent marks and different sampling areas. 'Standing crop' samples are restricted to mown plots, 'reproductive shoots' refer to sampling of tall grass culms and 'point frequency' samples include 176 points.

128 Sampling was done in the same period every year in the middle of June, beginning on plots la and lb, and terminating on plots 9a and 9b. At this time most species have passed over their flowering optimum and phenological changes in the structure of the meadow have slowed down. To get an idea of the phenological state, the beginning of flowering of Bromus erectus on plot la has been recorded every year. In 199 this was before 1 June, about 1 days earlier than in other years. The point frequency analysis is completed by counting of rare species in spring, density determination of culms of tall grasses and (on mown plots) standing crop measurements before cutting. Standing crop samples consisting of one strip per plot are taken with a small lawn-mower (Fig. 3). In addition to point frequency data only results of standing crop measurements will be used in this paper. Results In this preliminary evaluation of changes occurring on the study site in a first period between 1988-1991, two quick approaches are applied. The first, an ordination of time series of multispecies data to prove spatial differences and temporal trends, was used by van der Maarel (1969) and Austin (1977). This method is only successful for little heterogeneous data sets (Swaine & Greig-Smith 198). The second approach is a simple 'trend analysis' of single taxa. It is based on significant year-to-year changes, which can be determined since the methodical error is quantitatively known (Stampfli 1991). On the 18 plots 71 taxa were recorded by the point quadrat technique within the four years. Nine rare species were not recorded. On a single plot the average of recorded taxa was about 36 per year. Spatial differences and vegetational trends in time All the plots are ordinated by species frequency values using correspondence analysis (CANO- CO, version 2.2 by C. J. F. ter Braak 1988). The data set consists of 72 plots and 71 taxa. The eigenvalues of the first ordination axes are relatively small (A. 1 =.13, A. 2 =.1), suggesting a small heterogeneity within the data set {Ter Braak 1987). On the ordination diagram no clustering can be observed among the plots of 1988 {Fig. 4). The variation along the first axis can be interpreted as a spatial gradient. Whereas the plots located at the bottom of the study site (la,b; 4a,b; 7a,b) are mainly placed to the left, the plots located at the top of the study site (3a,b; 6a,b; 9a,b) are mainly placed to the right in the ordination diagram. The latter seem to be influenced by manure, which was spread close to the study site in former times: Plot 3a, at the extreme right in the ordination diagram, includes species of fertilized meadows (Silene vulgaris and Trifolium repens); Festuca rubra ssp. rubra is most abundant here. Plot 4a, at the extreme left, includes a rock at the soil surf ace and species of unfertilized sites (Sedum sexangulare and Koeleria macrantha); Helianthemum nummularium is most abundant here. Most abandoned plots are progressively shifting in about the same direction along the second ordination axis. Four plots {lb, 3b, 7b, 9b) already show a considerable change after the first year. By 199 a distinct separation between mown and abandoned plots (Sb not included) can be Table I. Taxa positively affected by abandonment (1988-1991) and number of mown (a) and abandoned (b) plots showing positive ( +) and negative ( - ) trends. marks no trend or species laking. Taxa Mown Abandoned + + Brachypodium pinnatum 8 1 7 Agrostis tenuis 6 3 1 8 Anthoxanthum odoratum 3 3 3 s 4 A venula pubescens 9 6 3 Sanguisorba minor 8 7 2 Campanula rotundifolia 2 7 8 1 Trofolium repens 2 7 6 2 Dactylis glomerata 9 7 2

129 ~ N ' 6a \ ' Sa., --~~-~/ It \ 9a axis 1 -, / 4a.,: la / 4b 9b 3b lb 7b Fig. 4. Ordination by correspondence analysis. Time series, 1988-1991, of mown (a) and abandoned plots (b). observed. On plot 8b, where a rock is present at the soil surface, the floristic composition is slightly different and the progression is not as strongly marked. Most of the mown plots reveal minor changes which are differently directed from year to year. On plot 6a, however, where gaps within the sward most evidently increased and the standing crop most evidently decreased, a remarkable trend opposed to changes on abandoned plots can be observed since 1989. On plot 3a mass development of Trifolium repens in 1989 provoked a distinct shifting which was reversed when Trifolium re pens died off during the next two years (see below). Trends of single taxa A change in species frequency within an interval t 1 -t 2 is considered 'significant' when the difference between the frequency value f(tj;' f( 12; exceeds confidence limits of methodical error. As such error is smaller compared to the error of random sampling (Stampfli 1991), the equation valid for random sampling was used for a conservative estimation of the significance of year-to-year changes. Positive and negative trends are determined for all the taxa on every plot by addition of significant positive and negative year-to-year changes (Fig. 5). Positive and negative effects of abandonment (E) are determined for all the taxa by calculation of the difference between number of abandoned B and mown A plots showing positive ( + ) or negative ( - ) trend, by use of the following equation: E = B( + ) - B( - ) - A( + ) + A( - ) Taxa most distinctly affected by abandonment are displayed in Table 1 and Table 2. Many taxa declined on both plots. Taxa showing highest negative decline on mown (and negative decline on abandoned) plots are displayed in Table 3. Anthoxanthum odoratum and Plantago lanceo-

13 f 1 8 [ 6 4 2 1988-+ 91 Fig. 5. Frequency (f) changes of Brachypodiumpinnatum on mown (a) and abandoned (b) plots (1988-1991). Significant positive ( +) and negative ( - ) year-to-year changes are marked. Trends on eight a-plots are negative; no trend on plot 2a. Trends on seven abandoned plots are positive, on plot lb negative; no trend on plot 8b. lata reveal distinct fluctuation peaks in 1989 (Fig. 6a), the same year when Trifolium repens showed a mass development on plot 3a (/ 1988 = 12%,!1989 = 33 %, fi99 = 3 %, /1991=%). No similar peak however was evident on other plots. Discussion By use of ordination differences between succession and fluctuation can be detected already in an early phase. Successional changes are more or less 'uni-directed' and progressive, fluctuational changes are 'multi-directed' and regressive. Most typically regressive change occurred in the case of 'phytocyclic fluctuation' (in the sense of Rabotnov 1974) connected with the mass development of Trifolium repens on plot 3a. Four years however are not enough to decide whether a vegetational change on a single plot is fluctuational or successional. Repeated droughts in successive

131 Table 2. Taxa negatively affected by abandonment (1988-1991) and number of mown (a) and abandoned (b) plots showing positive ( + ) and negative ( - ) trends. marks no trend or species lacking. Taxa Mown Abandoned + + Anthyllis vulneraria 5 4 5 4 Trifolium montanum 8 8 1 Danthonia decumbens 2 7 6 3 Salvia pratensis 9 2 7 a ) Frequency mean 2 8 15 /\ Plantago / \ / \\... 6 1 4 5 ~hox...,... ~:rex 2 ' 1988 1989 19 1991 1988 1989 199 1991 years may also provoke progressive vegetational change on plots highly sensitive to limited water supply (see plot 6a, Fig. 4). Before changes of single taxa can be discussed some methodical remarks must be stated: (1) Point frequency is a quantitative measure related to cover (see Goodall 1952 for errors due to needle diameter). Although a correlation to above ground biomass and number of shoots can be supposed for plants of similar size and shape within certain limits, frequency changes should not be interpreted as changes of biomass and number of shoots in a strict sense. (2) Frequency changes may be a result of changing leave angles caused by different treatments, as was observed for Hypochoeris radicata with horizontally spread b) Number of rainy days 25 in April 25 2 2 15 >lmm in May ~ 1 1........ 15 \ >lmm \... 5 5.. >lcm ' 1988 1989 199 1991 1988 1989 199 1991 Fig. 6. a. Fluctuating taxa, Plantago lanceolata, Anthoxanthum odoratum, and declining taxa, Bromus erectus, Carex vema, on mown plots 1988-1991 (means of frequency values). b. Number of rainy days in April and in May recorded at the nearby SMA-station at Comprovasco, 1988-1991. 'Rainy days' are based on two different sums of diurnal precipitation ( > 1 mm, > 1 cm). Table 3. Taxa negatively affected on mown and abandoned plots (1988-1991) and number of mown (a) and abandoned (b) plots showing positive (+)or negative ( - ) trends. marks no trend or species lacking. Taxa Mown Abandoned + + Bromus erectus 9 9 Festuca tenuifolia 7 2 9 Carex vema 7 2 8 1 Briza media 4 5 6 3 Luzula campestris 4 5 3 6 Lotus comiculatus 4 5 2 7 leaves on mown plots. On abandoned plots the leave position of this species was sometimes almost vertical, thus the chance of contacts with the needle is reduced. Informations about changing architecture of a taxa are an important source for the interpretation of frequency changes. (3) Phenological records may also provide important information to interprete disparate developments on quadrats recorded at different times within the sampling period of about 17 days. 'Peculiar' fluctuation peaks of Agrostis tenuis on plots 9a and 9b in 199

132 are an example of such a phenological effect: A. tenuis is the only grass which usually flowers after the analysis in late June. In 199 however it had opened its panicles already before the ultimate plots were analysed. This resulted in a rise of frequency on the ultimate plots, which is not confirmed by other plots investigated earlier. The disparate behaviour of many taxa on mown and abandoned plots is attributed to abandoning. The increase of Brachypodium pinnatum is considered a result of its competitive vigour. Other species also increased because of their ability to use the improved nutrient and water resources in abandoned plots: Agrostis tenuis, Anthoxanthum odoratum, A venula pubescens, Dactylis glomerata, Trifolium repens, Sanguisorba minor and Campanula rotundifolia. The negative reactions of Anthyllis vulneraria, Trifolium montanum, Danthonia decumbens and Salvia pratensis are attributed to light deficiency caused by litter accumulation. The declining trends of many taxa on mown plots within the four year period 1988-1991 are considered a result of weather conditions for the most part. Optimal conditions are reflected in a relatively high standing crop in 1988 (first plus second cut: 5 ± 8 gm- 2, n = 8). Weather conditions became worse in the following years reflected by a progressively declining standing crop (first plus second cut in 199: 2 ± 75 gm - 2, n= 9). The decline of many taxa is progressive, comparable to the decline of standing crop. As the number of rainy days in May similarly declines, it is suggested that the weather in May is a key factor for the development of these species (e.g. Bromus erectus, Carex verna, Fig. 6). For other species (Plantago lanceolata, Anthoxanthum odoratum) the weather in April seems to be determinative (Fig. 6). The relationship between weather conditions and the behaviour of species in meadows is not yet well known (Bakker 1989, p. 371). Proper correlations between climatic factors and the behaviour of plant species will be possible after more years of successive sampling. Acknowledgements I would like to thank Otto Hegg, my advisor and all the people who contributed to this paper: Fredy Guggisberg, Cathrine Kost, Jonas Luthy, Sonja Hafelfinger, Franziska Hunzinger, Gregor Nyffeler and Hansueli Pestalozzi (field assistance), Curzio Togni (mowing of experimental plots), Vincenzo Barassa (storage of equipment), Heinz Lauffer, Walti Nauer, Carlo Del Siro, Willy Tanner and Antonio Valsangiacomo (technical assistance), Werner Dahler and Klaus Zimmermann (computer consultation), Rachel Meier (computer assistance), Natalie Stadelmann and Astrid Vassella (review of the manuscript). Financial support was given by Schweizerischer Nationalfonds (grant number 31-996.87); Bundesamt filr U mwelt, Wald und Landschaft; Dipartimento dell' Ambiente del cantone Ticino; Lega Svizzera per la protezione della natura, sezione Ticino. References Austin, M. P. 1977. Use of ordination and other multivariate descriptive methods to study succession. Vegetatio 35: 165-175. Bakker, J.P. 1989. Nature management by grazing and cutting. Geobotany 14. Kluwer, Dordrecht. Goodall, D. W. 1952. Some considerations in the use of point quadrats for the analysis of vegetation. Austr. J. Sc. Research (Ser. B: Biol. Sc.) 5: 1-41. Lieth, H. & Ellenberg, H. 1958. Konkurrenz und Zuwanderung von Wiesenpfianzen. Z. Ack. Pfianzenb. 16 (2): 25-223. Rabotnov, T. A. 1974. Differences between fluctuations and successions. In: Knapp, R. (ed.) 1974. Vegetation Dynamics. Handbook of Vegetation science 8. Junk, The Hague, p. 19-24. Stampfii, A. 1991. Accurate determination of vegetational change in meadows by successive point quadrat analysis. Vegetatio 96: 185-194. Swaine, M. D. & Greig-Smith, P. 198. An application of principal components analysis to vegetation change in permanent plots. J. Ecol. 68: 33-41. Ter Braak, C. J. F. 1987. Ordination. In: Jongman, R.H. G., Ter Braak, C. J. F. & Van Tongeren,. F. R. 1987. Data analysis in community and landscape ecology. Pudoc, W ageningen. Van der Maarel, E. 1969. On the use of ordination models in phytosociology. Vegetatio 19: 21-46.