Specialization in Plant-Hummingbird Networks Is Associated with Species Richness, Contemporary Precipitation and Quaternary Climate-Change Velocity
Large-scale geographical patterns of biotic specialization and the underlying drivers are poorly understood, but it is widely believed that climate plays an important role in determining specialization. As climate-driven range dynamics should diminish local adaptations and favor generalization, one...
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Published in | PloS one Vol. 6; no. 10; p. e25891 |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
05.10.2011
Public Library of Science (PLoS) |
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Abstract | Large-scale geographical patterns of biotic specialization and the underlying drivers are poorly understood, but it is widely believed that climate plays an important role in determining specialization. As climate-driven range dynamics should diminish local adaptations and favor generalization, one hypothesis is that contemporary biotic specialization is determined by the degree of past climatic instability, primarily Quaternary climate-change velocity. Other prominent hypotheses predict that either contemporary climate or species richness affect biotic specialization. To gain insight into geographical patterns of contemporary biotic specialization and its drivers, we use network analysis to determine the degree of specialization in plant-hummingbird mutualistic networks sampled at 31 localities, spanning a wide range of climate regimes across the Americas. We found greater biotic specialization at lower latitudes, with latitude explaining 20-22% of the spatial variation in plant-hummingbird specialization. Potential drivers of specialization--contemporary climate, Quaternary climate-change velocity, and species richness--had superior explanatory power, together explaining 53-64% of the variation in specialization. Notably, our data provides empirical evidence for the hypothesized roles of species richness, contemporary precipitation and Quaternary climate-change velocity as key predictors of biotic specialization, whereas contemporary temperature and seasonality seem unimportant in determining specialization. These results suggest that both ecological and evolutionary processes at Quaternary time scales can be important in driving large-scale geographical patterns of contemporary biotic specialization, at least for co-evolved systems such as plant-hummingbird networks. |
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AbstractList | Large-scale geographical patterns of biotic specialization and the underlying drivers are poorly understood, but it is widely believed that climate plays an important role in determining specialization. As climate-driven range dynamics should diminish local adaptations and favor generalization, one hypothesis is that contemporary biotic specialization is determined by the degree of past climatic instability, primarily Quaternary climate-change velocity. Other prominent hypotheses predict that either contemporary climate or species richness affect biotic specialization. To gain insight into geographical patterns of contemporary biotic specialization and its drivers, we use network analysis to determine the degree of specialization in plant-hummingbird mutualistic networks sampled at 31 localities, spanning a wide range of climate regimes across the Americas. We found greater biotic specialization at lower latitudes, with latitude explaining 20-22% of the spatial variation in plant-hummingbird specialization. Potential drivers of specialization--contemporary climate, Quaternary climate-change velocity, and species richness--had superior explanatory power, together explaining 53-64% of the variation in specialization. Notably, our data provides empirical evidence for the hypothesized roles of species richness, contemporary precipitation and Quaternary climate-change velocity as key predictors of biotic specialization, whereas contemporary temperature and seasonality seem unimportant in determining specialization. These results suggest that both ecological and evolutionary processes at Quaternary time scales can be important in driving large-scale geographical patterns of contemporary biotic specialization, at least for co-evolved systems such as plant-hummingbird networks. Large-scale geographical patterns of biotic specialization and the underlying drivers are poorly understood, but it is widely believed that climate plays an important role in determining specialization. As climate-driven range dynamics should diminish local adaptations and favor generalization, one hypothesis is that contemporary biotic specialization is determined by the degree of past climatic instability, primarily Quaternary climate-change velocity. Other prominent hypotheses predict that either contemporary climate or species richness affect biotic specialization. To gain insight into geographical patterns of contemporary biotic specialization and its drivers, we use network analysis to determine the degree of specialization in plant-hummingbird mutualistic networks sampled at 31 localities, spanning a wide range of climate regimes across the Americas. We found greater biotic specialization at lower latitudes, with latitude explaining 20-22% of the spatial variation in plant-hummingbird specialization. Potential drivers of specialization--contemporary climate, Quaternary climate-change velocity, and species richness--had superior explanatory power, together explaining 53-64% of the variation in specialization. Notably, our data provides empirical evidence for the hypothesized roles of species richness, contemporary precipitation and Quaternary climate-change velocity as key predictors of biotic specialization, whereas contemporary temperature and seasonality seem unimportant in determining specialization. These results suggest that both ecological and evolutionary processes at Quaternary time scales can be important in driving large-scale geographical patterns of contemporary biotic specialization, at least for co-evolved systems such as plant-hummingbird networks.Large-scale geographical patterns of biotic specialization and the underlying drivers are poorly understood, but it is widely believed that climate plays an important role in determining specialization. As climate-driven range dynamics should diminish local adaptations and favor generalization, one hypothesis is that contemporary biotic specialization is determined by the degree of past climatic instability, primarily Quaternary climate-change velocity. Other prominent hypotheses predict that either contemporary climate or species richness affect biotic specialization. To gain insight into geographical patterns of contemporary biotic specialization and its drivers, we use network analysis to determine the degree of specialization in plant-hummingbird mutualistic networks sampled at 31 localities, spanning a wide range of climate regimes across the Americas. We found greater biotic specialization at lower latitudes, with latitude explaining 20-22% of the spatial variation in plant-hummingbird specialization. Potential drivers of specialization--contemporary climate, Quaternary climate-change velocity, and species richness--had superior explanatory power, together explaining 53-64% of the variation in specialization. Notably, our data provides empirical evidence for the hypothesized roles of species richness, contemporary precipitation and Quaternary climate-change velocity as key predictors of biotic specialization, whereas contemporary temperature and seasonality seem unimportant in determining specialization. These results suggest that both ecological and evolutionary processes at Quaternary time scales can be important in driving large-scale geographical patterns of contemporary biotic specialization, at least for co-evolved systems such as plant-hummingbird networks. |
Audience | Academic |
Author | Ollerton, Jeff Sutherland, William J. Martín González, Ana M. Fjeldså, Jon Timmermann, Allan Cotton, Peter A. Alarcón, Ruben Machado, Caio Graco Sazima, Marlies Sazima, Ivan Watts, Stella Sandel, Brody Svenning, Jens-Christian Lara, Carlos Magård, Else Olesen, Jens M. Dalsgaard, Bo Rahbek, Carsten Cardoso Araujo, Andrea |
AuthorAffiliation | 4 Center for Massive Data Algorithmics, Department of Computer Science, Aarhus University, Aarhus, Denmark 12 Laboratório de Ornitologia, Departamento de Ciências Biólogicas, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil 7 Landscape and Biodiversity Research Group, School of Science and Technology, University of Northampton, Northampton, United Kingdom 2 Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Copenhagen, Denmark 5 Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark Institut Mediterrani d'Estudis Avançats (CSIC/UIB), Spain 1 Conservation Science Group, Department of Zoology, University of Cambridge, Downing Street, Cambridge, United Kingdom 11 Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala, México 15 Laboratory of Pollination Ecology, Institute of Evolution, University of Haifa, Haifa, Israel 9 |
AuthorAffiliation_xml | – name: 1 Conservation Science Group, Department of Zoology, University of Cambridge, Downing Street, Cambridge, United Kingdom – name: 15 Laboratory of Pollination Ecology, Institute of Evolution, University of Haifa, Haifa, Israel – name: 9 Departamento de Biologia, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil – name: 12 Laboratório de Ornitologia, Departamento de Ciências Biólogicas, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil – name: 2 Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Copenhagen, Denmark – name: 8 Biology Program, California State University, Channel Islands, Camarillo, California, United States of America – name: 5 Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark – name: 10 Marine Biology and Ecology Research Centre, University of Plymouth, Plymouth, United Kingdom – name: 14 Departamento de Biologia Vegetal, IB, Universidade Estadual de Campinas, Campinias, Brazil – name: 7 Landscape and Biodiversity Research Group, School of Science and Technology, University of Northampton, Northampton, United Kingdom – name: 3 Department of Bioscience, Aarhus University, Aarhus, Denmark – name: 6 Pacific Ecoinformatics and Computational Ecology Lab, Berkeley, California, United States of America – name: 11 Centro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala, México – name: 13 Museu de Zoologia, IB, Universidade Estadual de Campinas, Campinas, Brazil – name: 4 Center for Massive Data Algorithmics, Department of Computer Science, Aarhus University, Aarhus, Denmark – name: Institut Mediterrani d'Estudis Avançats (CSIC/UIB), Spain |
Author_xml | – sequence: 1 givenname: Bo surname: Dalsgaard fullname: Dalsgaard, Bo – sequence: 2 givenname: Else surname: Magård fullname: Magård, Else – sequence: 3 givenname: Jon surname: Fjeldså fullname: Fjeldså, Jon – sequence: 4 givenname: Ana M. surname: Martín González fullname: Martín González, Ana M. – sequence: 5 givenname: Carsten surname: Rahbek fullname: Rahbek, Carsten – sequence: 6 givenname: Jens M. surname: Olesen fullname: Olesen, Jens M. – sequence: 7 givenname: Jeff surname: Ollerton fullname: Ollerton, Jeff – sequence: 8 givenname: Ruben surname: Alarcón fullname: Alarcón, Ruben – sequence: 9 givenname: Andrea surname: Cardoso Araujo fullname: Cardoso Araujo, Andrea – sequence: 10 givenname: Peter A. surname: Cotton fullname: Cotton, Peter A. – sequence: 11 givenname: Carlos surname: Lara fullname: Lara, Carlos – sequence: 12 givenname: Caio Graco surname: Machado fullname: Machado, Caio Graco – sequence: 13 givenname: Ivan surname: Sazima fullname: Sazima, Ivan – sequence: 14 givenname: Marlies surname: Sazima fullname: Sazima, Marlies – sequence: 15 givenname: Allan surname: Timmermann fullname: Timmermann, Allan – sequence: 16 givenname: Stella surname: Watts fullname: Watts, Stella – sequence: 17 givenname: Brody surname: Sandel fullname: Sandel, Brody – sequence: 18 givenname: William J. surname: Sutherland fullname: Sutherland, William J. – sequence: 19 givenname: Jens-Christian surname: Svenning fullname: Svenning, Jens-Christian |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21998716$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | COPYRIGHT 2011 Public Library of Science 2011 Dalsgaard et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Dalsgaard et al. 2011 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: BD EM JF J.Olesen WS J-CS. Performed the experiments: BD BS J-CS. Analyzed the data: BD BS J-CS. Contributed reagents/materials/analysis tools: BD EM AMG RA ACA PC CL CM IS MS AT SW BS WS J-CS. Wrote the paper: BD EM JF AMG CR J.Olesen J.Ollerton RA ACA PC CL CM IS MS AT SW BS WS J-CS. |
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Snippet | Large-scale geographical patterns of biotic specialization and the underlying drivers are poorly understood, but it is widely believed that climate plays an... |
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SubjectTerms | Adaptation Adaptations Analysis Animals Biodiversity Biology Birds Climate Change Computer science Ecological effects Ecology Ecosystem biology Empirical analysis Evolution Geography Hummingbirds Latitude Macroecology Network analysis Networks Plant evolution Plant reproduction Plants Precipitation Precipitation (Meteorology) Quaternary Quaternary climates Rain Rainfall Seasonal variations Spatial analysis Specialization Species richness Stability Terrestrial ecosystems Topography Trochilidae Velocity Zoology |
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Title | Specialization in Plant-Hummingbird Networks Is Associated with Species Richness, Contemporary Precipitation and Quaternary Climate-Change Velocity |
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