Plant species as predictors of soil pH: Replacing expert judgement with measurements
Question: The use of expert‐based indicator values to estimate abiotic conditions from vegetation is widespread. However, recent research has shown that expert judgement may contain considerable bias and thereby introduces a large amount of uncertainty. Could expert based indicator values be replace...
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| Published in | Journal of vegetation science Vol. 16; no. 4; pp. 461 - 470 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford, UK
Blackwell Publishing Ltd
01.08.2005
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Question:
The use of expert‐based indicator values to estimate abiotic conditions from vegetation is widespread. However, recent research has shown that expert judgement may contain considerable bias and thereby introduces a large amount of uncertainty. Could expert based indicator values be replaced by indicator values based on field measurements?
Location:
Europe.
Methods:
We developed a method to estimate species response based on measured physical data, and a method to predict abiotic conditions from the vegetation composition using these responses. This method was tested for soil pH.
Results:
We were able to estimate the pH response of 556 species of the Dutch flora. Ca. 20% of the responses were, at least, bimodal and many responses had a very wide range. The simplest method (‘raw mean’) yielded the best prediction of pH; the indicator value of a species is the mean of the soil pH values of the sites where it was observed. A list of all raw‐mean estimates per species is given. The predicted pH of a new site is the mean of the indicator values of the present species. The estimated species responses were validated on independent Dutch and European data sets. Older successional stages seem to be predicted better than younger stages.
Conclusions:
Our method performed better than the popular Ellenberg indicator system for the Dutch data set, while being just as easy to use, because it only needs a single value per species. We foresee that, when more data become available, our method has the potential to replace the Ellenberg system. |
|---|---|
| AbstractList | Question:
The use of expert‐based indicator values to estimate abiotic conditions from vegetation is widespread. However, recent research has shown that expert judgement may contain considerable bias and thereby introduces a large amount of uncertainty. Could expert based indicator values be replaced by indicator values based on field measurements?
Location:
Europe.
Methods:
We developed a method to estimate species response based on measured physical data, and a method to predict abiotic conditions from the vegetation composition using these responses. This method was tested for soil pH.
Results:
We were able to estimate the pH response of 556 species of the Dutch flora. Ca. 20% of the responses were, at least, bimodal and many responses had a very wide range. The simplest method (‘raw mean’) yielded the best prediction of pH; the indicator value of a species is the mean of the soil pH values of the sites where it was observed. A list of all raw‐mean estimates per species is given. The predicted pH of a new site is the mean of the indicator values of the present species. The estimated species responses were validated on independent Dutch and European data sets. Older successional stages seem to be predicted better than younger stages.
Conclusions:
Our method performed better than the popular Ellenberg indicator system for the Dutch data set, while being just as easy to use, because it only needs a single value per species. We foresee that, when more data become available, our method has the potential to replace the Ellenberg system. Abstract Question: The use of expert‐based indicator values to estimate abiotic conditions from vegetation is widespread. However, recent research has shown that expert judgement may contain considerable bias and thereby introduces a large amount of uncertainty. Could expert based indicator values be replaced by indicator values based on field measurements? Location: Europe. Methods: We developed a method to estimate species response based on measured physical data, and a method to predict abiotic conditions from the vegetation composition using these responses. This method was tested for soil pH. Results: We were able to estimate the pH response of 556 species of the Dutch flora. Ca. 20% of the responses were, at least, bimodal and many responses had a very wide range. The simplest method (‘raw mean’) yielded the best prediction of pH; the indicator value of a species is the mean of the soil pH values of the sites where it was observed. A list of all raw‐mean estimates per species is given. The predicted pH of a new site is the mean of the indicator values of the present species. The estimated species responses were validated on independent Dutch and European data sets. Older successional stages seem to be predicted better than younger stages. Conclusions: Our method performed better than the popular Ellenberg indicator system for the Dutch data set, while being just as easy to use, because it only needs a single value per species. We foresee that, when more data become available, our method has the potential to replace the Ellenberg system. |
| Author | Van Dobben, Han F. Goedhart, Paul W. Wamelink, G.W. Wieger Berendse, Frank |
| Author_xml | – sequence: 1 givenname: G.W. Wieger surname: Wamelink fullname: Wamelink, G.W. Wieger email: wieger.wamelink@wur.nl organization: Department of Landscape Ecology, Alterra, Droevendaalsesteeg 3a, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 2 givenname: Paul W. surname: Goedhart fullname: Goedhart, Paul W. organization: Biometris, Wageningen UR, P.O. Box 100, 6700 AC Wageningen, The Netherlands – sequence: 3 givenname: Han F. surname: Van Dobben fullname: Van Dobben, Han F. organization: Department of Landscape Ecology, Alterra, Droevendaalsesteeg 3a, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 4 givenname: Frank surname: Berendse fullname: Berendse, Frank organization: Nature Conservation & Plant Ecology Group, Wageningen University, Bornesteeg 69, NL-6708 PD Wageningen, The Netherlands |
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The use of expert‐based indicator values to estimate abiotic conditions from vegetation is widespread. However, recent research has shown that expert... Abstract Question: The use of expert‐based indicator values to estimate abiotic conditions from vegetation is widespread. However, recent research has shown... |
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| SubjectTerms | Ellenberg indicator values Optimum curve Plant species response Prediction method Spline |
| Title | Plant species as predictors of soil pH: Replacing expert judgement with measurements |
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