Interaction rewiring and the rapid turnover of plant-pollinator networks
dc.contributor.author | CaraDonna, Paul J. | |
dc.contributor.author | Petry, William K. | |
dc.contributor.author | Brennan, Ross M. | |
dc.contributor.author | Cunningham, James L. | |
dc.contributor.author | Bronstein, Judith L. | |
dc.contributor.author | Waser, Nickolas M. | |
dc.contributor.author | Sanders, Nathan J. | |
dc.date.accessioned | 2017-04-07T23:02:51Z | |
dc.date.available | 2017-04-07T23:02:51Z | |
dc.date.issued | 2017-03 | |
dc.identifier.citation | Interaction rewiring and the rapid turnover of plant-pollinator networks 2017, 20 (3):385 Ecology Letters | en |
dc.identifier.issn | 1461023X | |
dc.identifier.pmid | 28156041 | |
dc.identifier.doi | 10.1111/ele.12740 | |
dc.identifier.uri | http://hdl.handle.net/10150/623072 | |
dc.description.abstract | Whether species interactions are static or change over time has wide-reaching ecological and evolutionary consequences. However, species interaction networks are typically constructed from temporally aggregated interaction data, thereby implicitly assuming that interactions are fixed. This approach has advanced our understanding of communities, but it obscures the timescale at which interactions form (or dissolve) and the drivers and consequences of such dynamics. We address this knowledge gap by quantifying the within-season turnover of plant-pollinator interactions from weekly censuses across 3years in a subalpine ecosystem. Week-to-week turnover of interactions (1) was high, (2) followed a consistent seasonal progression in all years of study and (3) was dominated by interaction rewiring (the reassembly of interactions among species). Simulation models revealed that species' phenologies and relative abundances constrained both total interaction turnover and rewiring. Our findings reveal the diversity of species interactions that may be missed when the temporal dynamics of networks are ignored. | |
dc.description.sponsorship | NSF [DGE 11-43953, DBI 12-62713]; Danish National Research Foundation; National Science Foundation Dimensions of Biodiversity grant [NSF-1136703] | en |
dc.language.iso | en | en |
dc.publisher | WILEY-BLACKWELL | en |
dc.relation.url | http://doi.wiley.com/10.1111/ele.12740 | en |
dc.rights | © 2017 John Wiley & Sons Ltd/CNRS. | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Adaptive foraging | en |
dc.subject | beta-diversity | en |
dc.subject | community composition | en |
dc.subject | food webs | en |
dc.subject | interaction turnover | en |
dc.subject | mutualism | en |
dc.subject | networks | en |
dc.subject | null models | en |
dc.subject | optimal foraging theory | en |
dc.subject | phenology | en |
dc.title | Interaction rewiring and the rapid turnover of plant-pollinator networks | en |
dc.type | Article | en |
dc.contributor.department | Department of Ecology & Evolutionary Biology, University of Arizona | en |
dc.identifier.journal | Ecology Letters | en |
dc.description.note | 12 month embargo; Version of record online:3 February 2017 | en |
dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en |
dc.eprint.version | Final accepted manuscript | en |
dc.contributor.institution | The Rocky Mountain Biological Laboratory; Crested Butte CO 81224 USA | |
dc.contributor.institution | The Rocky Mountain Biological Laboratory; Crested Butte CO 81224 USA | |
dc.contributor.institution | The Rocky Mountain Biological Laboratory; Crested Butte CO 81224 USA | |
dc.contributor.institution | The Rocky Mountain Biological Laboratory; Crested Butte CO 81224 USA | |
dc.contributor.institution | Department of Ecology & Evolutionary Biology; University of Arizona; Tucson AZ 85721 USA | |
dc.contributor.institution | The Rocky Mountain Biological Laboratory; Crested Butte CO 81224 USA | |
dc.contributor.institution | The Rocky Mountain Biological Laboratory; Crested Butte CO 81224 USA | |
refterms.dateFOA | 2018-02-04T00:00:00Z | |
html.description.abstract | Whether species interactions are static or change over time has wide-reaching ecological and evolutionary consequences. However, species interaction networks are typically constructed from temporally aggregated interaction data, thereby implicitly assuming that interactions are fixed. This approach has advanced our understanding of communities, but it obscures the timescale at which interactions form (or dissolve) and the drivers and consequences of such dynamics. We address this knowledge gap by quantifying the within-season turnover of plant-pollinator interactions from weekly censuses across 3years in a subalpine ecosystem. Week-to-week turnover of interactions (1) was high, (2) followed a consistent seasonal progression in all years of study and (3) was dominated by interaction rewiring (the reassembly of interactions among species). Simulation models revealed that species' phenologies and relative abundances constrained both total interaction turnover and rewiring. Our findings reveal the diversity of species interactions that may be missed when the temporal dynamics of networks are ignored. |