A hierarchical set of models for species response analysis

Journal of Vegetation Science - Tập 4 Số 1 - Trang 37-46 - 1993
Jef Huisman1,2, Han Olff3,1,2,4, L. F. M. Fresco1,2
1Laboratory of Plant Ecology, University of Groningen, P.O. Box 14, 9750 AA Haren, The Netherlands
2Tel. +31 50 632221
3CABO-DLO, P.O. Box 14, 6700 AA Wageningen, The Netherlands
4Tel. +31 8370 75916

Tóm tắt

AbstractVariation 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.

Từ khóa


Tài liệu tham khảo

Anon, 1988, SAS Language Guide for Personal Computers.

Anon, 1990, SPSS Advanced Statistics User's Guide (4. 0).

10.1007/BF00055297

10.1007/BF00118379

10.1016/B978-0-12-294452-9.50015-1

10.1007/BF00039976

10.1007/978-94-009-2255-6

Bazzaz F. A., 1987, Colonization, Succession and Stability, 245

10.1093/biomet/76.4.633

Box G. E. P., 1976, Time series analysis, forecasting and control.

10.1017/S0021859600012971

Chatfield C., 1989, The Analysis of Time Series: An Introduction.

10.2307/2532039

10.1007/BF00031856

10.2307/1935386

10.1007/BF00038697

10.1016/0304-3770(90)90078-Y

Dixon W. J., 1985, BMDP Statistical Software.

10.1111/j.1752-1688.1988.tb00901.x

Fresco L. F. M., 1991, VEGROW: Processing of Vegetation Data. Shorthand manual v. 4.0.

10.2307/1934231

10.1007/BF02189207

Huribert S. H., 1984, Pseudoreplication and the design of ecological field experiments, Ecol. Monogr., 54, 187, 10.2307/1942661

Jongman R. H. G., 1987, Data Analysis in Community and Landscape Ecology.

10.1515/9780691209418

10.1007/978-1-4615-7358-6

10.1137/0111030

10.1007/978-1-4899-3242-6

Miller R. G., 1986, Beyond ANOVA, Basics of Applied Statistics.

10.1007/BF00317420

Olff H.1992b.On the mechanisms of vegetation succession.Ph.D. Thesis University of Groningen.

10.1007/BF00045634

10.2307/2404224

10.1098/rspa.1948.0037

10.2307/1936378

Schat H.1982.On the ecology of some Dutch dune slack plants.Ph.D. thesis Free University Amsterdam.

10.2307/2260075

Sokal R. R., 1981, Biometry.

10.2307/1930392

10.1007/978-3-642-48850-4_10

10.1007/BF00032121

Braak C. J. F., 1988, A theory of gradient analysis, Adv. Ecol. Res., 18, 272

10.1007/BF00032126

10.1007/BF00118403

Meijden R., 1990, Heukels' Flora van Nederland.

Tooren B. F., 1983, Succession and fluctuation in the vegetation of a Dutch beach plain, Vegetatio, 53, 139, 10.1007/BF00044897

10.2307/2257337

10.2307/3236170

Thông tin
Thông tin xuất bản

Journal of Vegetation Science

Tập 4 Số 1

37-46

Thông tin tác giả