Predicting population and community dynamics: The type of aggregation matters |
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Authors: | Katrin M. Meyer Katja Schiffers Tamara Münkemüller Martin Schädler Justin M. Calabrese Alberto Basset Marc Breulmann Sabine Duquesne Bert Hidding Andreas Huth Christian Schöb Tess F.J. van de Voorde |
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Affiliation: | 1. Technological Institute for Superhard and Novel Carbon Materials, Troitsk, Moscow 142190, Russia;2. Moscow Institute of Physics and Technology, Moscow Region 141700, Russia;3. Zaporizhzhya National University, Physical Faculty, Zaporizhzhya 69600, Ukraine |
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Abstract: | When investigating complex ecological dynamics at the population or community level, we necessarily need to abstract and aggregate ecological information. The way in which information is aggregated may be crucial for the outcome of the study. In this paper, we suggest that in addition to the traditional spatial, temporal and organizational levels, we need a more flexible framework linking ecological processes, study objects and types of aggregation. We develop such a framework and exemplify the most commonly used types of aggregation and their potential influence on identifiable drivers of community dynamics. We also illustrate strategies to narrow down the range of possible aggregation types for a particular study. With this approach, we hope (i) to clarify the function of aggregation types as related to traditional ecological levels and (ii) to raise the awareness of how important a deliberate way of aggregating ecological information is for a sound and reliable outcome of any empirical or theoretical ecological study. |
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