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Reproductive correlation and mean-variance scaling of reproductive output for a forest model
Ford Ballantyne1, Andrew J Kerkhoff
1Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA. fballantyne@ucsd.edu
Abstract:
We analyse the mean-variance scaling of reproductive output for a previously published forest model. The model relates individual reproductive effort and pollen limitation to the degree of synchrony in reproduction throughout a forest. We show that the exponent of Taylor's power law reflects the degree of synchrony of reproduction because it indicates the covariance of reproductive behavior. Further, we are able to relate the three components of masting, individual variability, population variability and synchrony in reproductive output, using Taylor's power law. Therefore Taylor's power law can be used as a synoptic index of masting.
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