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Cosmo LG, Acquaviva JN, Guimarães PR, Pires MM. Coevolutionary hotspots favour dispersal and fuel biodiversity in mutualistic landscapes under environmental changes. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230133. [PMID: 38913059 DOI: 10.1098/rstb.2023.0133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/03/2024] [Indexed: 06/25/2024] Open
Abstract
Mutualistic interactions are key to sustaining Earth's biodiversity. Yet, we are only beginning to understand how coevolution in mutualistic assemblages can shape the distribution and persistence of species across landscapes. Here, we combine the geographic mosaic theory of coevolution with metacommunity dynamics to understand how geographically structured selection can shape patterns of richness, dispersal, extinction and persistence of mutualistic species. In this model, species may experience strong or weak reciprocal selection imposed by mutualisms within each patch (i.e. hotspots and coldspots, respectively). Using numerical simulations, we show that mutualistic coevolution leads to a concentration of species richness at hotspots. Such an effect occurs because hotspots sustain higher rates of colonization and lower rates of extinction than coldspots, whether the environment changes or not. Importantly, under environmental changes, coldspots fail to sustain a positive colonization-to-extinction balance. Rather, species persistence within coldspots relies on hotspots acting as biodiversity sources and enhancing population dispersal across the landscape. In fact, even a few hotspots in the landscape can fuel the spatial network of dispersal of populations in the metacommunity. Our study highlights that coevolutionary hotspots can act as biodiversity sources, favouring colonization and allowing species to expand their distribution across landscapes even in changing environments. This article is part of the theme issue 'Diversity-dependence of dispersal: interspecific interactions determine spatial dynamics'.
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Affiliation(s)
- Leandro G Cosmo
- Programa de Pós-Graduação em Ecologia, Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo-USP , São Paulo, State of São Paulo, Brazil
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190 , Zurich CH-8057, Switzerland
| | - Julia N Acquaviva
- Instituto de Biologia, Programa de Pós-Graduação em Ecologia, Universidade Estadual de Campinas-UNICAMP , Campinas, State of São Paulo, Brazil
| | - Paulo R Guimarães
- Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo-USP , São Paulo, State of São Paulo, Brazil
| | - Mathias M Pires
- Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas-UNICAMP , Campinas, State of São Paulo, Brazil
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3
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Dorey JB, Fischer EE, Chesshire PR, Nava-Bolaños A, O'Reilly RL, Bossert S, Collins SM, Lichtenberg EM, Tucker EM, Smith-Pardo A, Falcon-Brindis A, Guevara DA, Ribeiro B, de Pedro D, Pickering J, Hung KLJ, Parys KA, McCabe LM, Rogan MS, Minckley RL, Velazco SJE, Griswold T, Zarrillo TA, Jetz W, Sica YV, Orr MC, Guzman LM, Ascher JS, Hughes AC, Cobb NS. A globally synthesised and flagged bee occurrence dataset and cleaning workflow. Sci Data 2023; 10:747. [PMID: 37919303 PMCID: PMC10622554 DOI: 10.1038/s41597-023-02626-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 10/09/2023] [Indexed: 11/04/2023] Open
Abstract
Species occurrence data are foundational for research, conservation, and science communication, but the limited availability and accessibility of reliable data represents a major obstacle, particularly for insects, which face mounting pressures. We present BeeBDC, a new R package, and a global bee occurrence dataset to address this issue. We combined >18.3 million bee occurrence records from multiple public repositories (GBIF, SCAN, iDigBio, USGS, ALA) and smaller datasets, then standardised, flagged, deduplicated, and cleaned the data using the reproducible BeeBDC R-workflow. Specifically, we harmonised species names (following established global taxonomy), country names, and collection dates and, we added record-level flags for a series of potential quality issues. These data are provided in two formats, "cleaned" and "flagged-but-uncleaned". The BeeBDC package with online documentation provides end users the ability to modify filtering parameters to address their research questions. By publishing reproducible R workflows and globally cleaned datasets, we can increase the accessibility and reliability of downstream analyses. This workflow can be implemented for other taxa to support research and conservation.
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Affiliation(s)
- James B Dorey
- College of Science and Engineering, Flinders University, Sturt Rd, Bedford Park, 5042, SA, Australia.
| | - Erica E Fischer
- Centre for the History of Science, Technology, and Medicine, Department of History, King's College London, Strand, WC2R 2LS, London, United Kingdom
| | - Paige R Chesshire
- Department of Biological Sciences, Northern Arizona University, S Beaver St, Flagstaff, 86011, AZ, USA
| | - Angela Nava-Bolaños
- Unidad Multidisciplinaria de Docencia e Investigación, Facultad de Ciencias, Campus Juriquilla, Universidad Nacional Autónoma de México, Boulevard Juriquilla, Jurica La Mesa, Juriquilla, 76230, Querétaro, México
| | - Robert L O'Reilly
- College of Science and Engineering, Flinders University, Sturt Rd, Bedford Park, 5042, SA, Australia
| | - Silas Bossert
- Department of Entomology, Washington State University, Dairy Rd, Pullman, 99164-6382, WA, USA
- Department of Entomology, National Museum of Natural History, Smithsonian Institution, 10th and Constitution Avenue, Washington, 20560, DC, USA
| | - Shannon M Collins
- Department of Biological Sciences and Advanced Environmental Research Institute, University of North Texas, W Mulberry St, Denton, 76201, TX, USA
| | - Elinor M Lichtenberg
- Department of Biological Sciences and Advanced Environmental Research Institute, University of North Texas, W Mulberry St, Denton, 76201, TX, USA
| | - Erika M Tucker
- Biodiversity Outreach Network, W Silver Spruce Ave, Flagstaff, 86001, AZ, USA
| | - Allan Smith-Pardo
- Animal Plant Health Inspection Service (APHIS); Plant Protection and Quarantine (PPQ); Science and Technology (S&T); Pest Identification Technology laboratory (PITL) United States Department of Agriculture (USDA), St. Suite, Sacramento, CA, 95814, USA
| | - Armando Falcon-Brindis
- Department of Entomology, Research and Education Center, University of Kentucky, University Dr, Lexington, KY, 42445, USA
| | - Diego A Guevara
- Departamento de Biología, Universidad Nacionalde Colombia, Bogotá, Cra 45 #268-5, D.C., Colombia
| | - Bruno Ribeiro
- Programa de Pós-graduação em Ecologia e Evolução, Universidade Federal de Goiás, Goiânia, Av, Esperança, 74690-900, GO, Brazil
| | - Diego de Pedro
- Ensenada Center for Scientific Research and Higher Education, Carr. Tijuana-Ensenada, Zona Playitas, 22860, Ensenada, Baja California, Mexico
| | | | - Keng-Lou James Hung
- Oklahoma Biological Survey, University of Oklahoma, Chesapeake St, Norman, 73019, OK, USA
| | - Katherine A Parys
- USDA ARS Pollinator Health in Southern Crop Ecosystems Research Unit, Experiment Station Rd, Stoneville, 38776, MS, USA
| | - Lindsie M McCabe
- USDA-ARS Pollinating Insects-Research Unit, Old Main Hill, Logan, 84322, UT, USA
| | - Matthew S Rogan
- Center for Biodiversity and Global Change, Yale University, Prospect St, New Haven, 06511, CT, USA
- Department of Ecology & Evolutionary Biology, Yale University, Prospect St, New Haven, 06511, CT, USA
| | - Robert L Minckley
- Department of Biology, University of Rochester, Rochester, 14620, NY, USA
| | - Santiago J E Velazco
- Instituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, Argentina
| | - Terry Griswold
- USDA-ARS Pollinating Insects-Research Unit, Old Main Hill, Logan, 84322, UT, USA
| | - Tracy A Zarrillo
- The Connecticut Agricultural Experiment Station, Huntington St, New Haven, 06511, CT, USA
| | - Walter Jetz
- Center for Biodiversity and Global Change, Yale University, Prospect St, New Haven, 06511, CT, USA
- Department of Ecology & Evolutionary Biology, Yale University, Prospect St, New Haven, 06511, CT, USA
| | - Yanina V Sica
- Center for Biodiversity and Global Change, Yale University, Prospect St, New Haven, 06511, CT, USA
- Department of Ecology & Evolutionary Biology, Yale University, Prospect St, New Haven, 06511, CT, USA
| | - Michael C Orr
- Entomologie, Staatliches Museum für Naturkunde Stuttgart, Rosenstein, Stuttgart, 70191, Baden, Württemberg, Germany
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road, Beijing, 100101, China
| | - Laura Melissa Guzman
- Marine and Environmental Biology, Department of Biological Sciences, University of Southern California, Trousdale Pkwy, Los Angeles, 90089-0371, CA, USA
| | - John S Ascher
- Department of Biological Sciences, National University of Singapore, Science Dr, 117558, Singapore, Singapore
| | - Alice C Hughes
- School of Biological Sciences, University of Hong Kong, Pok Fu Lam Rd, Lung Fu Shan, Hong Kong
| | - Neil S Cobb
- Biodiversity Outreach Network, W Silver Spruce Ave, Flagstaff, 86001, AZ, USA
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4
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Dritz S, Nelson RA, Valdovinos FS. The role of intra-guild indirect interactions in assembling plant-pollinator networks. Nat Commun 2023; 14:5797. [PMID: 37723167 PMCID: PMC10507117 DOI: 10.1038/s41467-023-41508-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/06/2023] [Indexed: 09/20/2023] Open
Abstract
Understanding the assembly of plant-pollinator communities has become critical to their conservation given the rise of species invasions, extirpations, and species' range shifts. Over the course of assembly, colonizer establishment produces core interaction patterns, called motifs, which shape the trajectory of assembling network structure. Dynamic assembly models can advance our understanding of this process by linking the transient dynamics of colonizer establishment to long-term network development. In this study, we investigate the role of intra-guild indirect interactions and adaptive foraging in shaping the structure of assembling plant-pollinator networks by developing: 1) an assembly model that includes population dynamics and adaptive foraging, and 2) a motif analysis tracking the intra-guild indirect interactions of colonizing species throughout their establishment. We find that while colonizers leverage indirect competition for shared mutualistic resources to establish, adaptive foraging maintains the persistence of inferior competitors. This produces core motifs in which specialist and generalist species coexist on shared mutualistic resources which leads to the emergence of nested networks. Further, the persistence of specialists develops richer and less connected networks which is consistent with empirical data. Our work contributes new understanding and methods to study the effects of species' intra-guild indirect interactions on community assembly.
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Affiliation(s)
- Sabine Dritz
- Department of Environmental Science and Policy, University of California Davis, 350 East Quad, Davis, CA, 945616, USA.
| | - Rebecca A Nelson
- Department of Environmental Science and Policy, University of California Davis, 350 East Quad, Davis, CA, 945616, USA
| | - Fernanda S Valdovinos
- Department of Environmental Science and Policy, University of California Davis, 350 East Quad, Davis, CA, 945616, USA.
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5
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Li HD, Holyoak M, Xiao Z. Disentangling spatiotemporal dynamics in metacommunities through a species-patch network approach. Ecol Lett 2023; 26:1261-1276. [PMID: 37493107 DOI: 10.1111/ele.14243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/21/2023] [Accepted: 04/23/2023] [Indexed: 07/27/2023]
Abstract
Colonization and extinction at local and regional scales, and gains and losses of patches are important processes in the spatiotemporal dynamics of metacommunities. However, analytical challenges remain in quantifying such spatiotemporal dynamics when species extinction-colonization and patch gain and loss processes act simultaneously. Recent advances in network analysis show great potential in disentangling the roles of colonization, extinction, and patch dynamics in metacommunities. Here, we developed a species-patch network approach to quantify metacommunity dynamics including (i) temporal changes in network structure, and (ii) temporal beta diversity of species-patch links and its components that reflect species extinction-colonization and patch gain and loss. Application of the methods to simulated datasets demonstrated that the approach was informative about metacommunity assembly processes. Based on three empirical datasets, our species-patch network approach provided additional information about metacommunity dynamics through distinguishing the effects of species colonization and extinction at different scales from patch gains and losses and how specific environmental factors related to species-patch network structure. In conclusion, our species-patch network framework provides effective methods for monitoring and revealing long-term metacommunity dynamics by quantifying gains and losses of both species and patches under local and global environmental change.
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Affiliation(s)
- Hai-Dong Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Marcel Holyoak
- Department of Environmental Science and Policy, University of California, Davis, California, USA
| | - Zhishu Xiao
- State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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6
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Cosmo LG, Sales LP, Guimarães PR, Pires MM. Mutualistic coevolution and community diversity favour persistence in metacommunities under environmental changes. Proc Biol Sci 2023; 290:20221909. [PMID: 36629106 PMCID: PMC9832548 DOI: 10.1098/rspb.2022.1909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/02/2022] [Indexed: 01/12/2023] Open
Abstract
Linking local to regional ecological and evolutionary processes is key to understand the response of Earth's biodiversity to environmental changes. Here we integrate evolution and mutualistic coevolution in a model of metacommunity dynamics and use numerical simulations to understand how coevolution can shape species distribution and persistence in landscapes varying in space and time. Our simulations show that coevolution and species richness can synergistically shape distribution patterns by increasing colonization and reducing extinction of populations in metacommunities. Although conflicting selective pressures emerging from mutualisms may increase mismatches with the local environment and the rate of local extinctions, coevolution increases trait matching among mutualists at the landscape scale, counteracting local maladaptation and favouring colonization and range expansions. Our results show that by facilitating colonization, coevolution can also buffer the effects of environmental changes, preventing species extinctions and the collapse of metacommunities. Our findings reveal the mechanisms whereby coevolution can favour persistence under environmental changes and highlight that these positive effects are greater in more diverse systems that retain landscape connectivity.
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Affiliation(s)
- Leandro G. Cosmo
- Programa de Pós-Graduação em Ecologia, Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo - USP, São Paulo, SP, Brazil
| | - Lilian P. Sales
- Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas - UNICAMP, Campinas, SP, Brazil
- Biology Department, Faculty of Arts and Science, Concordia University, Montreal, Canada
| | - Paulo R. Guimarães
- Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo - USP, São Paulo, SP, Brazil
| | - Mathias M. Pires
- Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas - UNICAMP, Campinas, SP, Brazil
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