Prediction of forest soil nutrient status using vegetation
| Autor: | François Houllier, Jean-Christophe Hervé, Jean-Claude Gégout, Jean-Claude Pierrat |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
0106 biological sciences
2. Zero hunger Ecology Soil nutrients Kernel density estimation Soil science Plant Science 15. Life on land Logistic regression 010603 evolutionary biology 01 natural sciences Floristics Environmental science Soil horizon Indicator value Maxima Saturation (chemistry) 010606 plant biology & botany |
| Zdroj: | Journal of Vegetation Science. 14:55-62 |
| ISSN: | 1654-1103 1100-9233 |
| Popis: | A large number of plots (306) were sampled for floristic data and variables of soil nutrient availability in a wide range of forest conditions in the Vosges mountains (NE France). Half of the data were used to model species presence/absence as a function of nutritional variables using two numerical methods: parametric logistic regression and non-parametric Kernel estimation. Species responses were established for calcium, aluminium, Ca : Al ratio, base saturation, pH and C : N measured in the upper soil horizon. The other half were used to predict these variables with vegetation with three approaches: maximum likelihood, indicator values and ecological groups. More than 80 % of the 122 studied species showed a significant response to one or more nutrition factors. Species often had optima for maxima or minima of the studied values. For each variable, species were more frequent in conditions with good nutrition and/or low toxicity: maximum values were most frequent for Ca, Ca : Al, base saturation... |
| Databáze: | OpenAIRE |
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