A method to determine rates and patterns of variability in ecological communities

• Published in: Oikos Vol. 91; no. 2; pp. 285 - 293
• Main Authors: Collins, Scott L., Micheli, Fiorenza, Hartt, Laura
• Format: Journal Article
• Language: English
• Published: Copenhagen Munksgaard International Publishers 01.11.2000; Munksgaard International Publishers, Ltd; Blackwell
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; Biological and medical sciences; Datasets; Experimental data; Fundamental and applied biological sciences. Psychology; General aspects; General aspects. Techniques; Linear regression; Methods and techniques (sampling, tagging, trapping, modelling...); Modeling; Ordination; Simulations; Species; Synecology; Time series; Vegetation; Biocenosis; Steppe; Old field; Analytical method; Lakes; Euclidean space; Simulation model; Measurement method; Autocorrelation; Time variation; Zooplankton

It is well known that ecological communities are spatially and temporally dynamic. Quantifying temporal variability in ecological communities is challenging, however, especially for time-series data sets of less than 40 measurement intervals. In this paper, we describe a method to quantify temporal...