Abstract
A central goal of population ecology is understanding mechanisms driving temporal fluctuations in population numbers. Ecologists employ three general approaches to elucidating these mechanisms: recording and analyzing patterns of temporal fluctuations, constructing mathematical models, and performing experiments. When investigating a specific ecological system (or systems) all three approaches should ideally be linked together, because they provide complementary information. However, during the early stages of an investigation, before a limited set of competing hypotheses has been delineated, it may be premature to attempt to design critical experiments. Analysis of time-series data can then be very productive by suggesting possible mechanisms to model and to test with experiments.
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Turchin, P., Ellner, S.P. (2000). Modelling Time-Series Data. In: Perry, J.N., Smith, R.H., Woiwod, I.P., Morse, D.R. (eds) Chaos in Real Data. Population and Community Biology Series, vol 27. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4010-2_2
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DOI: https://doi.org/10.1007/978-94-011-4010-2_2
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