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Braak Braak, Looman Looman (1986)
Weighted averaging, logistic regression and the Gaussian response modelVegetatio, 65
Olff Olff, Bakker Bakker, Fresco Fresco (1988)
The effect of fluctuations in tidal inundation frequency on a salt‐marsh vegetationVegetatio, 78
C. Chatfield (1990)
The Analysis of Time Series: An Introduction
(1987)
Succession and fluctuation
A. Watt (1960)
Population Changes in Acidiphilous Grass-Heath in Breckland, 1936-57Journal of Ecology, 48
Cramer Cramer, Hytteborn Hytteborn (1987)
The separation of fluctuation and long‐term change in vegetation dynamics of a rising sea shoreVegetatio, 69
H. Penman (1948)
Natural evaporation from open water, bare soil and grassProceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 193
Maarel Maarel (1981)
Fluctuations in a coastal dune grassland due to fluctuations in rainfall: experimental evidence.Vegetatio, 47
A. El-Shaarawi, E. Damsleth (1988)
Parametric and nonparametric tests for dependent dataJournal of The American Water Resources Association, 24
Gordon Conway, N. Glass, Jerome Wilcox (1970)
Fitting Nonlinear Models to Biological Data by Marquardt's AlgorithmEcology, 51
Tooren Tooren, Schat Schat, Borg Borg (1983)
Succession and fluctuation in the vegetation of a Dutch beach plainVegetatio, 53
Collins Collins, Bradford Bradford, Sims Sims (1987)
Succession and fluctuation mArtemisia dominated grasslandVegetatio, 73
Austin Austin (1981)
Permanent quadrats: An interface for theory and practiceVegetatio, 46
Austin Austin (1976)
On non‐linear species response models in ordinationVegetatio, 33
Gauch Gauch, Whittaker Whittaker (1972)
Coenocline simulationEcology, 53
T. Yee, N. Mitchell (1991)
Generalized additive models in plant ecologyJournal of Vegetation Science, 2
C. Braak (1992)
Permutation Versus Bootstrap Significance Tests in Multiple Regression and Anova
(1987)
Experimental studies on the evolution of niche in successional plant populations
R. Cashen (1947)
The influence of rainfall on the yield and botanical composition of permanent grass at RothamstedThe Journal of Agricultural Science, 37
M. Talbot, H. Biswell, A. Hormay (1939)
Fluctuations in the Annual Vegetation of CaliforniaEcology, 20
G. Box, G. Jenkins (1971)
Time series analysis, forecasting and control
J. Leeuw, H. Olff, J. Bakker (1990)
Year-to-year variation in peak above-ground biomass of six salt-marsh angiosperm communities as related to rainfall deficit and inundation frequency.Aquatic Botany, 36
D. Marquardt (1963)
An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of The Society for Industrial and Applied Mathematics, 11
M. Hill, R. Jongman, C. Braak, O. Tongeren (1987)
Data analysis in community and landscape ecologyJournal of Animal Science
P. White, G. Likens (1990)
Long-Term Studies in Ecology: Approaches and AlternativesBioScience
A. Snow, S. Vince (1984)
Plant zonation in an Alaskan salt marsh. II: An experimental study of the role of edaphic conditionsJournal of Ecology, 72
Austin Austin, Cunningham Cunningham, Fleming Fleming (1984)
New approaches to direct gradient analysis using environmental scalars and statistical curve‐fitting proceduresVegetatio, 55
J. Besag, P. Clifford (1989)
Generalized Monte Carlo significance testsBiometrika, 76
J. Bakker (1989)
Nature Management by Grazing and CuttingJournal of Applied Ecology, 27
M. Austin (1990)
Community theory and competition in vegetation.
R. Hunt, J. Hope-Simpson, J. Snape (1985)
Growth of the dune wintergreen (Pyrola rotundifolia ssp.maritima) at Braunton Burrows in relation to weather factorsInternational Journal of Biometeorology, 29
El‐Shaarawi El‐Shaarawi, Damsleth Damsleth (1988)
Parametric and nonparametric tests for dependent dataWater Res. Bull., 24
P. Blight, C. Chatfield (1990)
The Analysis of Time Series: An Introduction, 4th edn.Applied statistics, 39
P. Clifford, S. Richardson, D. Hémon (1989)
Assessing the significance of the correlation between two spatial processes.Biometrics, 45 1
(1992)
Effects of light and nutrient availability on dry matter and N allocation in six successional grassland species: Testing for resource ratio effects
Rupert Miller (1987)
Beyond ANOVA, basics of applied statistics
H. Olff, J. Bakker (1991)
Long-Term Dynamics of Standing Crop and Species Composition after the Cessation of Fertilizer Application to Mown GrasslandJournal of Applied Ecology, 28
Braak Braak, Prentice Prentice (1988)
A theory of gradient analysisAdv. Ecol. Res., 18
Dam Dam, Dobben Dobben, Braak Braak, Wit Wit (1986)
Air pollution as a possible cause for the decline of some phanerogamic species in The NetherlandsVegetatio, 65
R. Levins (1968)
Evolution in Changing Environments
M. Pitt, H. Heady (1978)
Responses of Annual Vegetation to Temperature and Rainfall Patterns in Northern CaliforniaEcology, 59
W. Dixon, Morton Brown (1983)
BMDP statistical software
S. Hurlbert (1984)
Pseudoreplication and the Design of Ecological Field ExperimentsEcological Monographs, 54
(1988)
A theory of gradient
H. Olff (1992)
On the mechanisms of vegetation succession
Variation in the abundance of species in space and/or time can be caused by a wide range of underlying processes. Before such causes can be analysed we need simple mathematical models which can describe the observed response patterns. For this purpose a hierarchical set of models is presented. These models are applicable to positive data with an upper bound, like relative frequencies and percentages. The models are fitted to the observations by means of logistic and non‐linear regression techniques. Working with models of increasing complexity allows us to choose for the simplest possible model which sufficiently explains the observed pattern. The models are particularly suited for description of responses in time or over major environmental gradients. Deviations from these temporal or spatial trends may be statistically ascribed to, for example, climatic fluctuations or small‐scale spatial heterogeneity. The applicability of this approach is illustrated by examples from recent research. A combination of simple, descriptive models like those presented in this paper and causal models as developed by several others, is advocated as a powerful tool towards a fuller understanding of the dynamics and patterns of vegetational change.
Journal of Vegetation Science – Wiley
Published: Feb 1, 1993
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