Walter D. Koenig, Johannes M. H. Knops, William J. Carmen, and Ian S. Pearse. 2015. What drives masting? The phenological synchrony hypothesis. Ecology 96:184192. http://dx.doi.org/10.1890/14-0819.1


Supplement

The R source code used to perform the simulation for estimating the effects of potential climate change on future masting behavior of valley oaks (Quercus lobata).
Ecological Archives E096-019-S1.

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Authors
File list (downloads)
Description


Author(s)

Walter D. Koenig
Lab of Ornithology
Cornell University
159 Sapsucker Woods Road
Ithaca, NY 14850
E-mail: wdk4@cornell.edu

Johannes M. H. Knops
School of Biological Sciences
University of Nebraska
348 Manter Hall
Lincoln, Nebraska 68588
E-mail: jknops@unl.edu

William J. Carmen
145 Eldredge Ave.
Mill Valley, CA 94941
E-mail: William.Carmen@comcast.net

Ian S. Pearse
Lab of Ornithology
Cornell University
159 Sapsucker Woods Road
Ithaca, NY 14850
E-mail: ianspearse@gmail.com


File list

Supplement_simulation.R (MD5: d3068d78e5f706fadc360e41f4fc06e3)

Description

Program for simulating the effects of climate change (mean maximum spring temperature) on masting in valley oaks based on the relationships between temperature, phenological synchrony, and the acorn crop.

The program does 100 runs of 33 years, each designed to use the field data from Hastings Reservation, central coastal California. The code includes the relevant data for simulations and plots the estimated coefficient of variation (CV) in the acorn crop (as a percentage) as a function of the mean maximum spring temperature ranging from 16 to 22C. See text of the paper for further details.