TY - JOUR A1 - Morris, E. Kathryn A1 - Caruso, Tancredi A1 - Buscot, Francois A1 - Fischer, Markus A1 - Hancock, Christine A1 - Maier, Tanja S. A1 - Meiners, Torsten A1 - Müller, Caroline A1 - Obermaier, Elisabeth A1 - Prati, Daniel A1 - Socher, Stephanie A. A1 - Sonnemann, Ilja A1 - Wäschke, Nicola A1 - Wubet, Tesfaye A1 - Wurst, Susanne A1 - Rillig, Matthias C. T1 - Choosing and using diversity indices: insights for ecological applications from the German Biodiversity Exploratories JF - Ecology and Evolution N2 - Biodiversity, a multidimensional property of natural systems, is difficult to quantify partly because of the multitude of indices proposed for this purpose. Indices aim to describe general properties of communities that allow us to compare different regions, taxa, and trophic levels. Therefore, they are of fundamental importance for environmental monitoring and conservation, although there is no consensus about which indices are more appropriate and informative. We tested several common diversity indices in a range of simple to complex statistical analyses in order to determine whether some were better suited for certain analyses than others. We used data collected around the focal plant Plantago lanceolata on 60 temperate grassland plots embedded in an agricultural landscape to explore relationships between the common diversity indices of species richness (S), Shannon's diversity (H'), Simpson's diversity (D-1), Simpson's dominance (D-2), Simpson's evenness (E), and Berger-Parker dominance (BP). We calculated each of these indices for herbaceous plants, arbuscular mycorrhizal fungi, aboveground arthropods, belowground insect larvae, and P.lanceolata molecular and chemical diversity. Including these trait-based measures of diversity allowed us to test whether or not they behaved similarly to the better studied species diversity. We used path analysis to determine whether compound indices detected more relationships between diversities of different organisms and traits than more basic indices. In the path models, more paths were significant when using H', even though all models except that with E were equally reliable. This demonstrates that while common diversity indices may appear interchangeable in simple analyses, when considering complex interactions, the choice of index can profoundly alter the interpretation of results. Data mining in order to identify the index producing the most significant results should be avoided, but simultaneously considering analyses using multiple indices can provide greater insight into the interactions in a system. KW - molecular diversity KW - plant diversity KW - plantago lanceolata KW - shannon index KW - simpson's index KW - arbuscular mycorrhizal fungi KW - Hill's powers KW - chemical diversity KW - Berger-Parker KW - arthropods Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-115462 SN - 2045-7758 VL - 4 IS - 18 ER -