University of Vermont ScholarWorks @ UVM College of Arts and Sciences Faculty Publications College of Arts and Sciences 4-1-2013 Predicting food-web structure with metacommunity models Benjamin Baiser Harvard University Hannah L. Buckley Lincoln University, New Zealand Nicholas J. Gotelli University of Vermont Aaron M. Ellison Harvard University Follow this and additional works at: https://scholarworks.uvm.edu/casfac Part of the Climate Commons Recommended Citation Baiser B, Buckley HL, Gotelli NJ, Ellison AM. Predicting food‐web structure with metacommunity models. Oikos. 2013 Apr;122(4):492-506. This Article is brought to you for free and open access by the College of Arts and Sciences at ScholarWorks @ UVM. It has been accepted for inclusion in College of Arts and Sciences Faculty Publications by an authorized administrator of ScholarWorks @ UVM. For more information, please contact
[email protected]. i t o r ’ Oikos 122: 492–506, 2013 d s E doi: 10.1111/j.1600-0706.2012.00005.x OIKOS © 2012 The Authors. Oikos © 2012 Nordic Society Oikos Subject Editor: Carlos Melian. Accepted 10 July 2012 C h o i c e Predicting food-web structure with metacommunity models Benjamin Baiser, Hannah L. Buckley, Nicholas J. Gotelli and Aaron M. Ellison B. Baiser (
[email protected]) and A. M. Ellison, Harvard Univ., Harvard Forest, 324 N. Main St., Petersham, MA 01366, USA. – H. L. Buckley, Dept of Ecology, PO Box 84, Lincoln Univ., Canterbury, New Zealand. – N. J. Gotelli, Dept of Biology, Univ. of Vermont, Burlington, VT 05405, USA. Metacommunity theory aims to elucidate the relative influence of local and regional-scale processes in generating diversity patterns across the landscape.