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Article alert: Ecological assembly rules in plant communities—approaches, patterns and prospects 01.03.2012 |
Biological Reviews (2012) 87: 111–127. doi: 10.1111/j.1469-185X.2011.00187.x Götzenberger, L., de Bello, F., Bråthen, K. A., Davison, J., Dubuis, A., Guisan, A., Lepš, J., Lindborg, R., Moora, M., Pärtel, M., Pellissier, L., Pottier, J., Vittoz, P., Zobel, K. and Zobel, MUnderstanding how communities of living organisms assemble has been a central question in ecology since the early days of the discipline. Disentangling the different processes involved in community assembly is not only interesting in itself but also crucial for an understanding of how communities will behave under future environmental scenarios. The traditional concept of assembly rules reflects the notion that species do not co-occur randomly but are restricted in their co-occurrence by interspecific competition. This concept can be redefined in a more general framework where the co-occurrence of species is a product of chance, historical patterns of speciation and migration, dispersal, abiotic environmental factors, and biotic interactions, with none of these processes being mutually exclusive.
Here we present a survey and meta-analyses of 59 papers that compare observed patterns in plant communities with null models simulating random patterns of species assembly. According to the type of data under study and the different methods that are applied to detect community assembly, we distinguish four main types of approach in the published literature: species co-occurrence, niche limitation, guild proportionality and limiting similarity.
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05.03.2022
New paper published: Sampling and modelling rare species: Conceptual guidelines for the neglected majority
Jeliazkov, A., Gavish, Y., Marsh, C. J., Geschke, J., Brummitt, N., Rocchini, D., Haase, P.,...
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06.12.2020
New paper published: A GIS-based policy support tool to determine national responsibilities and priorities for biodiversity conservation
Lin YP, Schmeller DS, Ding TS, Wang YC, Lien WY, Henle K, Klenke RA (2020) A GIS-based polic...
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