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Ecological mechanisms explaining interactions within plant-hummingbird networks: morphological matching increases towards lower latitudes.
Sonne, Jesper; Vizentin-Bugoni, Jeferson; Maruyama, Pietro K; Araujo, Andréa C; Chávez-González, Edgar; Coelho, Aline G; Cotton, Peter A; Marín-Gómez, Oscar H; Lara, Carlos; Lasprilla, Liliana R; Machado, Caio G; Maglianesi, Maria A; Malucelli, Tiago S; González, Ana M Martín; Oliveira, Genilda M; Oliveira, Paulo E; Ortiz-Pulido, Raul; Rocca, Márcia A; Rodrigues, Licléia C; Sazima, Ivan; Simmons, Benno I; Tinoco, Boris; Varassin, Isabela G; Vasconcelos, Marcelo F; O'Hara, Bob; Schleuning, Matthias; Rahbek, Carsten; Sazima, Marlies; Dalsgaard, Bo.
Afiliación
  • Sonne J; Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Universitetsparken 15, Copenhagen Ø, Denmark.
  • Vizentin-Bugoni J; Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Universitetsparken 15, Copenhagen Ø, Denmark.
  • Maruyama PK; Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas (Unicamp), Campinas, São Paulo, Brazil.
  • Araujo AC; Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas (Unicamp), Campinas, São Paulo, Brazil.
  • Chávez-González E; Centro de Síntese Ecológica e Conservação, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Coelho AG; Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
  • Cotton PA; Centro de Investigaciones Biologicas, Instituto de Ciencias Basicas e Ingeniería, Universidad Autónoma del Estado de Hidalgo, Km 4.5, Carretera Pachuca-Tulancingo, Mineral de la Reforma, Pachuca, Hidalgo, Mexico.
  • Marín-Gómez OH; Laboratório de Ornitologia, Departamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil.
  • Lara C; Marine Biology and Ecology Research Centre, Plymouth University, Plymouth, UK.
  • Lasprilla LR; Red de Ambiente y Sustentabilidad, Instituto de Ecología, A.C, Carretera antigua a Coatepec 351 El Haya, Xalapa, Veracruz, Mexico.
  • Machado CG; Centro de Investigación en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, Km 10.5 Autopista Tlaxcala-San Martín Texmelucan, San Felipe Ixtacuixtla, Tlaxcala, Mexico.
  • Maglianesi MA; Escuela de Ciencias Biologicas, Grupo de Investigación Biología para la Conservación, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Boyacá, Colombia.
  • Malucelli TS; Laboratório de Ornitologia, Departamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil.
  • González AMM; Vicerrectoría de Investigación, Universidad Estatal a Distancia, San José, Costa Rica.
  • Oliveira GM; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, Frankfurt (Main), Germany.
  • Oliveira PE; Laboratório de Interações e Biologia Reprodutiva, Departamento de Botânica, Centro Politécnico, Curitiba, Paraná, Brazil.
  • Ortiz-Pulido R; Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Universitetsparken 15, Copenhagen Ø, Denmark.
  • Rocca MA; Pacific Ecoinformatics and Computational Ecology Lab, Berkeley, CA, USA.
  • Rodrigues LC; Instituto Federal de Brasília, Campus Samambaia, Brasília, Distrito Federal, Brazil.
  • Sazima I; Instituto de Biologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
  • Simmons BI; Centro de Investigaciones Biologicas, Instituto de Ciencias Basicas e Ingeniería, Universidad Autónoma del Estado de Hidalgo, Km 4.5, Carretera Pachuca-Tulancingo, Mineral de la Reforma, Pachuca, Hidalgo, Mexico.
  • Tinoco B; Centro de Ciências Biológicas e da Saúde, Departamento de Ecologia, Universidade Federal de Sergipe, Avenida Marechal Rondon, s/n, Jardim Rosa Elze, São Cristóvão, Sergipe, Brazil.
  • Varassin IG; Laboratório de Ornitologia, Departamento de Zoologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Vasconcelos MF; Museu de Zoologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil.
  • O'Hara B; Conservation Science Group, Department of Zoology, University of Cambridge, The David Attenborough Building, Pembroke Street, Cambridge, UK.
  • Schleuning M; Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
  • Rahbek C; Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn, UK.
  • Sazima M; Escuela de Biología, Universidad del Azuay, Cuenca, Ecuador.
  • Dalsgaard B; Laboratório de Interações e Biologia Reprodutiva, Departamento de Botânica, Centro Politécnico, Curitiba, Paraná, Brazil.
Proc Biol Sci ; 287(1922): 20192873, 2020 03 11.
Article en En | MEDLINE | ID: mdl-32156208
Interactions between species are influenced by different ecological mechanisms, such as morphological matching, phenological overlap and species abundances. How these mechanisms explain interaction frequencies across environmental gradients remains poorly understood. Consequently, we also know little about the mechanisms that drive the geographical patterns in network structure, such as complementary specialization and modularity. Here, we use data on morphologies, phenologies and abundances to explain interaction frequencies between hummingbirds and plants at a large geographical scale. For 24 quantitative networks sampled throughout the Americas, we found that the tendency of species to interact with morphologically matching partners contributed to specialized and modular network structures. Morphological matching best explained interaction frequencies in networks found closer to the equator and in areas with low-temperature seasonality. When comparing the three ecological mechanisms within networks, we found that both morphological matching and phenological overlap generally outperformed abundances in the explanation of interaction frequencies. Together, these findings provide insights into the ecological mechanisms that underlie geographical patterns in resource specialization. Notably, our results highlight morphological constraints on interactions as a potential explanation for increasing resource specialization towards lower latitudes.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aves / Ecosistema / Polinización Límite: Animals Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aves / Ecosistema / Polinización Límite: Animals Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Dinamarca