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 inPloS one Vol. 6; no. 10; p. e25891
Main Authors Dalsgaard, Bo, Magård, Else, Fjeldså, Jon, Martín González, Ana M., Rahbek, Carsten, Olesen, Jens M., Ollerton, Jeff, Alarcón, Ruben, Cardoso Araujo, Andrea, Cotton, Peter A., Lara, Carlos, Machado, Caio Graco, Sazima, Ivan, Sazima, Marlies, Timmermann, Allan, Watts, Stella, Sandel, Brody, Sutherland, William J., Svenning, Jens-Christian
Format Journal Article
LanguageEnglish
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.
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
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– 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
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  surname: Dalsgaard
  fullname: Dalsgaard, Bo
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  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
Copyright_xml – notice: COPYRIGHT 2011 Public Library of Science
– notice: 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.
– notice: Dalsgaard et al. 2011
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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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