The long-term temporal variability and spectral colour of animal populations

By P. Inchausti, J. Halley. 2002

113 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/851e26ad9d8785daa39c93bb6d291b6e4caf876b

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Citations in the corpus

Quantifying temporal variability in population abundances (2006, methodology): “There is general agreement such a metric be unit free and independent of the mean (i.e. measured on a proportional scale) to facilitate comparison (Pimm 1991, Gaston and McArdle 1994, McArdle and Gaston 1995, Inchausti and Halley 2002).”
The evolution of conformist social learning can cause population collapse in realistically variable environments (2009, methodology): “In the standard runs of the model, we chose ω=1 as this is very close to the mean spectral exponent of the 544 series of natural population dynamics studied by Inchausti and Halley (2002).”
On the relation between temporal variability and persistence time in animal populations (2003, unknown): “The analysis of long-term data has shown that the temporal variability of animal populations increases with the length of the survey (Pimm & Redfearn 1988; Pimm 1991; Murdoch 1994; Ariño & Pimm 1995; Cyr 1997; Inchausti & Halley 2001, 2002), though the rate is less than proportional to length.”
SCALE AND HIERARCHY IN MACROEVOLUTION (2007, background): “…even in living systems population variability generally increases over time, regardless of taxa, body sizes, trophic level, latitude or type of population dynamics (see, e.g., Inchausti and Halley 2001, 2002, who analysed 544 natural populations in 123 species over timescales exceeding 30 years).”
Uses and abuses of fractal methodology in ecology (2004, background): “Thus, the analyses of Pimm and others (Pimm & Redfearn 1988; Inchausti & Halley 2002) showing that the variance of population time series increases with observation time, apparently without limit, might seem pathological.”