Publication: A guide to analyzing biodiversity experiments
A guide to analyzing biodiversity experiments
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Schmid, B., Baruffol, M., Wang, Z., & Niklaus, P. A. (2017). A guide to analyzing biodiversity experiments. Journal of Plant Ecology, 10, 91–110. https://doi.org/10.1093/jpe/rtw107
Abstract
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Abstract
Aims: The aim of this guide is to provide practical help for ecologists who analyze data from biodiversity–ecosystem functioning experiments. Our approach differs from others in the use of least squares-based linear models (LMs) together with restricted maximum likelihood-based mixed models (MMs) for the analysis of hierarchical data. An original data set containing diameter and height of young trees grown in monocultures, 2- or 4-species mixtures under ambient light or shade is used as an example. Methods: Starting with a simple LM,
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- Baruffol, Martin
- Wang, Zhiheng
- Niklaus, Pascal A
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Schmid, B., Baruffol, M., Wang, Z., & Niklaus, P. A. (2017). A guide to analyzing biodiversity experiments. Journal of Plant Ecology, 10, 91–110. https://doi.org/10.1093/jpe/rtw107
