Your browser doesn't support javascript.
loading
Niche partitioning due to adaptive foraging reverses effects of nestedness and connectance on pollination network stability.
Valdovinos, Fernanda S; Brosi, Berry J; Briggs, Heather M; Moisset de Espanés, Pablo; Ramos-Jiliberto, Rodrigo; Martinez, Neo D.
Affiliation
  • Valdovinos FS; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA. fevaldovinos@gmail.com.
  • Brosi BJ; Pacific Ecoinformatics and Computational Ecology Lab, 1604 McGee Avenue, Berkeley, CA, 94703, USA. fevaldovinos@gmail.com.
  • Briggs HM; Department of Environmental Sciences, Emory University, Atlanta, GA, 30322, USA.
  • Moisset de Espanés P; Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA.
  • Ramos-Jiliberto R; Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA.
  • Martinez ND; Department of Environmental Studies, University of California, Santa Cruz, CA, 95064, USA.
Ecol Lett ; 19(10): 1277-86, 2016 10.
Article in En | MEDLINE | ID: mdl-27600659
ABSTRACT
Much research debates whether properties of ecological networks such as nestedness and connectance stabilise biological communities while ignoring key behavioural aspects of organisms within these networks. Here, we computationally assess how adaptive foraging (AF) behaviour interacts with network architecture to determine the stability of plant-pollinator networks. We find that AF reverses negative effects of nestedness and positive effects of connectance on the stability of the networks by partitioning the niches among species within guilds. This behaviour enables generalist pollinators to preferentially forage on the most specialised of their plant partners which increases the pollination services to specialist plants and cedes the resources of generalist plants to specialist pollinators. We corroborate these behavioural preferences with intensive field observations of bee foraging. Our results show that incorporating key organismal behaviours with well-known biological mechanisms such as consumer-resource interactions into the analysis of ecological networks may greatly improve our understanding of complex ecosystems.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bees / Adaptation, Physiological / Ecosystem / Pollination / Feeding Behavior Limits: Animals Language: En Journal: Ecol Lett Year: 2016 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bees / Adaptation, Physiological / Ecosystem / Pollination / Feeding Behavior Limits: Animals Language: En Journal: Ecol Lett Year: 2016 Document type: Article Affiliation country: United States