Offered Papers Theme B: Grassland and the Environment
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Publication Date
2005
Location
Dublin Ireland
Description
Considerable discussion in recent years has focused on the design of competition and biodiversity experiments (Connolly et al., 2001a; Allison, 1999). Few agronomic experiments with >2 plant species have been conducted in greenhouse conditions (Gibson et al, 1999) or in the field (Connolly et al., 2001b). In many experiments the effects of density and initial species size have been confounded. The effects of species richness and evenness also are confounded frequently. The proposed system provides a framework of design and analysis, in which to address questions of function at community level and of structure and competition at the level of species. It provides a set of statistical models that allow the separate assessment of initial overall abundance, species richness, species evenness and environment.
Citation
Connolly, John and Kirwan, L., "A New System for Plant Experiments on Biodiversity or Multi-Species Competition" (2005). IGC Proceedings (1985-2023). 213.
(URL: https://uknowledge.uky.edu/igc/20/themeB/213)
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
A New System for Plant Experiments on Biodiversity or Multi-Species Competition
Dublin Ireland
Considerable discussion in recent years has focused on the design of competition and biodiversity experiments (Connolly et al., 2001a; Allison, 1999). Few agronomic experiments with >2 plant species have been conducted in greenhouse conditions (Gibson et al, 1999) or in the field (Connolly et al., 2001b). In many experiments the effects of density and initial species size have been confounded. The effects of species richness and evenness also are confounded frequently. The proposed system provides a framework of design and analysis, in which to address questions of function at community level and of structure and competition at the level of species. It provides a set of statistical models that allow the separate assessment of initial overall abundance, species richness, species evenness and environment.
