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de Araújo WS, Bergamini LL, Almeida-Neto M. Global effects of land-use intensity and exotic plants on the structure and phylogenetic signal of plant-herbivore networks. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173949. [PMID: 38876343 DOI: 10.1016/j.scitotenv.2024.173949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/23/2024] [Accepted: 06/10/2024] [Indexed: 06/16/2024]
Abstract
Interactions between plants and herbivorous insects are often phylogenetically structured, with closely related insect species using similar sets of species or lineages of plants, while phylogenetically closer plants tend to share high proportions of their herbivore insect species. Notably, these phylogenetic constraints in plant-herbivore interactions tend to be more pronounced among internal plant-feeding herbivores (i.e., endophages) than among external feeders (i.e., exophages). In the context of growing human-induced habitat conversion and the global proliferation of exotic species, it is crucial to understand how ecological networks respond to land-use intensification and the increasing presence of exotic plants. In this study, we analyzed plant-herbivore network data from various locations of the World to ascertain the degree to which land-use intensity and the prevalence of exotic plants induce predictable changes in their network topology - measured by levels of nestedness and modularity - and phylogenetic structures. Additionally, we investigated whether the intimacy of plant-herbivore interactions, contrasting endophagous with exophagous networks, modulate changes in network structure. Our findings reveal that most plant-herbivore networks are characterized by significant phylogenetic and topological structures. However, neither these structures did not show consistent changes in response to increased levels of land-use intensify. On the other hand, for the networks composed of endophagous herbivores, the level of nestedness was higher in the presence of a high proportion of exotic plants. Additionally, for networks of exophagous herbivores, we observed an increase in the phylogenetic structure of interactions due to exotic host dominance. These results underscore the differential impacts of exotic species and land-use intensity on the phylogenetic and topological structures of plant-herbivore networks.
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Affiliation(s)
- Walter Santos de Araújo
- Departamento de Biologia Geral, Centro de Ciências Biológicas e da Saúde, Universidade Estadual de Montes Claros, Montes Claros, MG 39401-089, Brazil..
| | - Leonardo Lima Bergamini
- Centro de Estudos Ambientais do Cerrado, Instituto Brasileiro de Geografia e Estatística, Reserva Ecológica do IBGE, Brasília, DF 70312-970, Brazil
| | - Mário Almeida-Neto
- Departamento de Ecologia, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, GO 74001-970, Brazil
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2
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Wang X, Fu X, Shi M, Xue C, Yang J, Zhao Z, Li S, Tu T. Multiple interaction networks reveal that Lepidoptera larvae and adults prefer various host plants for diet and pollination. Integr Zool 2024; 19:763-776. [PMID: 37427545 DOI: 10.1111/1749-4877.12745] [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] [Indexed: 07/11/2023]
Abstract
Plant-Lepidoptera interactions are often studied using the pollination or herbivore networks only. Lepidoptera species are involved in two types of plant-insect interactions because they are herbivores as larvae and pollinators as adults. The study of entangled networks is critical, since the interaction of different networks can affect the overall network and community stability. Here, we studied the interaction of plants and Lepidoptera on the Yongxing Island, South China Sea. A plant-lepidopteran pollination network and a plant-lepidopteran herbivore network were built by using data from flower-pollinator and leaf-herbivore interactions. We then combined the two networks into a single network. We measured plant composition similarity within each sub-network and across sub-networks for Lepidoptera species. Our findings indicate that the plant-Lepidoptera pollination network and the herbivory network share significant proportions of Lepidoptera but small proportions of plant assemblages. The pollination network had higher nestedness and connectance than the herbivore network. Agrius convolvuli was the most specialized species, while Zizina otis had the highest species strength in the pollination network. Most Lepidoptera species were highly specialized in the herbivore network and their importance positively correlated across the two networks. Furthermore, there was no dietary composition similarity between the two networks for most Lepidoptera species. Our findings highlight the visible structural difference between the pollination and the herbivore networks. Adult Lepidoptera selects different plants for oviposition and feeding, a strategy that may benefit their reproduction and survival by sustaining adequate resources for their two life stages and the diversity of both plants and insects in oceanic island communities.
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Affiliation(s)
- Xiangping Wang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, The Chinese Academy of Sciences, Guangzhou, Guangdong, China
- South China National Botanical Garden, Guangzhou, China
| | - Xiao Fu
- Ningxia Yunwu Mountain National Natural Reserve, Guyuan, China
| | - Miaomiao Shi
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, The Chinese Academy of Sciences, Guangzhou, Guangdong, China
- South China National Botanical Garden, Guangzhou, China
| | - Chunquan Xue
- Guangdong Forestry Survey and Planning Institute, Guangzhou, China
| | - Jiazhi Yang
- Guangdong Forestry Survey and Planning Institute, Guangzhou, China
| | - Zhongtao Zhao
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, The Chinese Academy of Sciences, Guangzhou, Guangdong, China
- South China National Botanical Garden, Guangzhou, China
| | - Shijin Li
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, The Chinese Academy of Sciences, Guangzhou, Guangdong, China
- South China National Botanical Garden, Guangzhou, China
| | - Tieyao Tu
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, The Chinese Academy of Sciences, Guangzhou, Guangdong, China
- South China National Botanical Garden, Guangzhou, China
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3
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Zhao J, Li Y, Wang X, Li M, Yu W, Chen J, Zhang L. Parasite-host network analysis provides insights into the evolution of two mistletoe lineages (Loranthaceae and Santalaceae). PLANT DIVERSITY 2023; 45:702-711. [PMID: 38197012 PMCID: PMC10772182 DOI: 10.1016/j.pld.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/20/2023] [Accepted: 03/26/2023] [Indexed: 01/11/2024]
Abstract
Mistletoes are ecologically important parasitic plants, with > 1600 species from five lineages worldwide. Mistletoe lineages exhibit distinct patterns of species diversification and host specificity, however, the mechanisms underlying these differences are poorly understood. In this study, we analysed a comprehensive parasite-host network, including 280 host species from 60 families and 22 mistletoe species from two lineages (Santalaceae and Loranthaceae) in Xishuangbanna, located in a biodiversity hotspot of tropical Asia. We identified the factors that predict the infection strength of mistletoes. We also detected host specificity and the phylogenetic signal of mistletoes and their hosts. We found that this interaction network could be largely explained by a model based on the relative abundance of species. Host infection was positively correlated with diameter at breast height and tree coverage, but negatively correlated with wood density. Overall, closely related mistletoe species tend to interact more often with similar hosts. However, the two lineages showed a significantly different network pattern. Rates of host generality were higher in Loranthaceae than in Santalaceae, although neither lineage showed phylogenetic signal for host generality. This study demonstrates that the neutral interaction hypothesis provides suitable predictions of the mistletoe-host interaction network, and mistletoe species show significant phylogenetic signals for their hosts. Our findings also indicate that high species diversification in Loranthaceae may be explained by high rates of host generality and the evolutionary history shared by Loranthaceae species with diverse host plants in the tropics.
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Affiliation(s)
- Jin Zhao
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, Yunnan, China
- Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, Ministry of Education, China Three Gorges University, Yichang 443002, Hubei, China
| | - Yuanjie Li
- Graduate School of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xuanni Wang
- Linnaeus Labs Technology Co., Ltd, Wuyuan 333200, Jiangxi, China
| | - Manru Li
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, Yunnan, China
- Graduate School of the Chinese Academy of Sciences, Beijing 100049, China
| | - Wenbin Yu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, Yunnan, China
| | - Jin Chen
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, Yunnan, China
| | - Ling Zhang
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, Yunnan, China
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4
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Tripathi R, Reza A, Mertel A, Su G, Calabrese JM. A network-based approach to identifying correlations between phylogeny, morphological traits and occurrence of fish species in US river basins. PLoS One 2023; 18:e0287482. [PMID: 37352314 PMCID: PMC10289417 DOI: 10.1371/journal.pone.0287482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 06/06/2023] [Indexed: 06/25/2023] Open
Abstract
The complex network framework has been successfully used to model interactions between entities in Complex Systems in the Biological Sciences such as Proteomics, Genomics, Neuroscience, and Ecology. Networks of organisms at different spatial scales and in different ecosystems have provided insights into community assembly patterns and emergent properties of ecological systems. In the present work, we investigate two questions pertaining to fish species assembly rules in US river basins, a) if morphologically similar fish species also tend to be phylogenetically closer, and b) to what extent are co-occurring species that are phylogenetically close also morphologically similar? For the first question, we construct a network of Hydrologic Unit Code 8 (HUC8) regions as nodes with interaction strengths (edges) governed by the number of common species. For each of the modules of this network, which are found to be geographically separated, there is differential yet significant evidence that phylogenetic distance predicts morphological distance. For the second question, we construct and analyze nearest neighbor directed networks of species based on their morphological distances and phylogenetic distances. Through module detection on these networks and comparing the module-level mean phylogenetic distance and mean morphological distance with the number of basins of common occurrence of species in modules, we find that both phylogeny and morphology of species have significant roles in governing species co-occurrence, i.e. phylogenetically and morphologically distant species tend to co-exist more. In addition, between the two quantities (morphological distance and phylogentic distance), we find that morphological distance is a stronger determinant of species co-occurrences.
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Affiliation(s)
- Richa Tripathi
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany
| | - Amit Reza
- Nikhef, Amsterdam, The Netherlands
- Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University, CC Utrecht, The Netherlands
| | - Adam Mertel
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany
| | - Guohuan Su
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany
| | - Justin M. Calabrese
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany
- Dept. of Ecological Modelling, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
- Dept. of Biology, University of Maryland, College Park, MD, United States of America
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5
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Krasnov BR, Shenbrot GI, Khokhlova IS. Phylogenetic signals in flea-host interaction networks from four biogeographic realms: differences between interactors and the effects of environmental factors. Int J Parasitol 2022; 52:475-484. [DOI: 10.1016/j.ijpara.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/19/2022] [Accepted: 04/20/2022] [Indexed: 11/05/2022]
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6
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Manca F, Mulà C, Gustafsson C, Mauri A, Roslin T, Thomas DN, Benedetti-Cecchi L, Norkko A, Strona G. Unveiling the complexity and ecological function of aquatic macrophyte-animal networks in coastal ecosystems. Biol Rev Camb Philos Soc 2022; 97:1306-1324. [PMID: 35174616 PMCID: PMC9544924 DOI: 10.1111/brv.12842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 02/09/2022] [Accepted: 02/09/2022] [Indexed: 11/30/2022]
Abstract
Network theory offers innovative tools to explore the complex ecological mechanisms regulating species associations and interactions. Although interest in ecological networks has grown steadily during the last two decades, the application of network approaches has been unequally distributed across different study systems: while some kinds of interactions (e.g. plant-pollinator and host-parasite) have been extensively investigated, others remain relatively unexplored. Among the latter, aquatic macrophyte-animal associations in coastal environments have been largely neglected, despite their major role in littoral ecosystems. The ubiquity of macrophyte systems, their accessibility and multi-faceted ecological, economical and societal importance make macrophyte-animal systems an ideal subject for ecological network science. In fact, macrophyte-animal networks offer an aquatic counterpart to terrestrial plant-animal networks. In this review, we show how the application of network analysis to aquatic macrophyte-animal associations has the potential to broaden our understanding of how coastal ecosystems function. Network analysis can also provide a key to understanding how such ecosystems will respond to on-going and future threats from anthropogenic disturbance and environmental change. For this, we: (i) identify key issues that have limited the application of network theory and modelling to aquatic animal-macrophyte associations; (ii) illustrate through examples based on empirical data how network analysis can offer new insights on the complexity and functioning of coastal ecosystems; and (iii) provide suggestions for how to design future studies and establish this new research line into network ecology.
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Affiliation(s)
- Federica Manca
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, PO Box 65 Viikinkaari 1, Helsinki, 00014, Finland
| | - Clelia Mulà
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, PO Box 65 Viikinkaari 1, Helsinki, 00014, Finland
| | - Camilla Gustafsson
- Tvärminne Zoological Station, University of Helsinki, J.A. Palménin tie 260, Hanko, 10900, Finland
| | - Achille Mauri
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, PO Box 65 Viikinkaari 1, Helsinki, 00014, Finland
| | - Tomas Roslin
- Department of Ecology, Swedish University of Agricultural Sciences, Ulls väg 16, Uppsala, 756 51, Sweden.,Spatial Foodweb Ecology Group, Department of Agricultural Sciences, University of Helsinki, PO Box 27 Latokartanonkaari 5, Helsinki, 00014, Finland
| | - David N Thomas
- Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, University of Helsinki, PO Box 65 Viikinkaari 1, Helsinki, 00014, Finland
| | | | - Alf Norkko
- Tvärminne Zoological Station, University of Helsinki, J.A. Palménin tie 260, Hanko, 10900, Finland.,Baltic Sea Centre, Stockholm University, Svante Arrhenius väg 20 F, Stockholm, 106 91, Sweden
| | - Giovanni Strona
- Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, PO Box 65 Viikinkaari 1, Helsinki, 00014, Finland.,Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, University of Helsinki, PO Box 65 Viikinkaari 1, Helsinki, 00014, Finland
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7
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Yan C. Nestedness interacts with subnetwork structures and interconnection patterns to affect community dynamics in ecological multilayer networks. J Anim Ecol 2022; 91:738-751. [DOI: 10.1111/1365-2656.13665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 01/03/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Chuan Yan
- State Key Laboratory of Grassland Agro‐ecosystems Institute of Innovation Ecology & College of Life Sciences Lanzhou University Lanzhou 730000 China
- Yuzhong Mountain Ecosystems Observation and Research Station Lanzhou University Lanzhou 730000 China
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8
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Maliet O, Loeuille N, Morlon H. An individual-based model for the eco-evolutionary emergence of bipartite interaction networks. Ecol Lett 2020; 23:1623-1634. [PMID: 32885919 DOI: 10.1111/ele.13592] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 03/31/2020] [Accepted: 07/22/2020] [Indexed: 02/04/2023]
Abstract
How ecological interaction networks emerge on evolutionary time scales remains unclear. Here we build an individual-based eco-evolutionary model for the emergence of mutualistic, antagonistic and neutral bipartite interaction networks. Exploring networks evolved under these scenarios, we find three main results. First, antagonistic interactions tend to foster species and trait diversity, while mutualistic interactions reduce diversity. Second, antagonistic interactors evolve higher specialisation, which results in networks that are often more modular than neutral ones; resource species in these networks often display phylogenetic conservatism in interaction partners. Third, mutualistic interactions lead to networks that are more nested than neutral ones, with low phylogenetic conservatism in interaction partners. These results tend to match overall empirical trends, demonstrating that structures of empirical networks that have most often been explained by ecological processes can result from an evolutionary emergence. Our model contributes to the ongoing effort of better integrating ecological interactions and macroevolution.
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Affiliation(s)
- Odile Maliet
- Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Research University, Paris, 75005, France
| | - Nicolas Loeuille
- Sorbonne Université, UPEC, CNRS, IRD, INRA, Institut d'Ecologie et des Sciences de l'Environnement, IEES, Paris, F-75005, France
| | - Hélène Morlon
- Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Research University, Paris, 75005, France
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9
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Cirtwill AR, Dalla Riva GV, Baker NJ, Ohlsson M, Norström I, Wohlfarth IM, Thia JA, Stouffer DB. Related plants tend to share pollinators and herbivores, but strength of phylogenetic signal varies among plant families. THE NEW PHYTOLOGIST 2020; 226:909-920. [PMID: 31917859 DOI: 10.1111/nph.16420] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/13/2019] [Indexed: 06/10/2023]
Abstract
Related plants are often hypothesized to interact with similar sets of pollinators and herbivores, but this idea has only mixed empirical support. This may be because plant families vary in their tendency to share interaction partners. We quantify overlap of interaction partners for all pairs of plants in 59 pollination and 11 herbivory networks based on the numbers of shared and unshared interaction partners (thereby capturing both proportional and absolute overlap). We test for relationships between phylogenetic distance and partner overlap within each network; whether these relationships varied with the composition of the plant community; and whether well-represented plant families showed different relationships. Across all networks, more closely related plants tended to have greater overlap. The strength of this relationship within a network was unrelated to the composition of the network's plant component, but, when considered separately, different plant families showed different relationships between phylogenetic distance and overlap of interaction partners. The variety of relationships between phylogenetic distance and partner overlap in different plant families probably reflects a comparable variety of ecological and evolutionary processes. Considering factors affecting particular species-rich groups within a community could be the key to understanding the distribution of interactions at the network level.
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Affiliation(s)
- Alyssa R Cirtwill
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
| | - Giulio V Dalla Riva
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
- Biomathematics Research Centre, School of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
| | - Nick J Baker
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
| | - Mikael Ohlsson
- Department of Physics, Chemistry, and Biology (IFM), Linköping University, 581 83, Linköping, Sweden
| | - Isabelle Norström
- Department of Physics, Chemistry, and Biology (IFM), Linköping University, 581 83, Linköping, Sweden
| | - Inger-Marie Wohlfarth
- Department of Physics, Chemistry, and Biology (IFM), Linköping University, 581 83, Linköping, Sweden
| | - Joshua A Thia
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
| | - Daniel B Stouffer
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
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10
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Ceron K, Oliveira‐Santos LGR, Souza CS, Mesquita DO, Caldas FLS, Araujo AC, Santana DJ. Global patterns in anuran–prey networks: structure mediated by latitude. OIKOS 2019. [DOI: 10.1111/oik.06621] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Karoline Ceron
- Programa de Pós Graduação em Ecologia e Conservação, Inst. de Biociências, Univ. Federal de Mato Grosso do Sul, Cidade Universitária CEP 79002‐970 Campo Grande Mato Grosso do Sul Brazil
| | | | - Camila S. Souza
- Programa de Pós Graduação em Ecologia e Conservação, Inst. de Biociências, Univ. Federal de Mato Grosso do Sul, Cidade Universitária CEP 79002‐970 Campo Grande Mato Grosso do Sul Brazil
- Campus Centro Politécnico, Depto de Botânica, Univ. Federal do Paraná Curitiba Paraná Brazil
| | - Daniel O. Mesquita
- Depto de Sistemática e Ecologia, Univ. Federal da Paraíba, Cidade Universitária João Pessoa Paraíba Brazil
| | | | - Andréa C. Araujo
- Inst. de Biociências, Univ. Federal de Mato Grosso do Sul, Cidade Universitária Campo Grande Mato Grosso do Sul Brazil
| | - Diego J. Santana
- Inst. de Biociências, Univ. Federal de Mato Grosso do Sul, Cidade Universitária Campo Grande Mato Grosso do Sul Brazil
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11
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Hutchinson MC, Cagua EF, Stouffer DB. Cophylogenetic signal is detectable in pollination interactions across ecological scales. Ecology 2017; 98:2640-2652. [DOI: 10.1002/ecy.1955] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 04/03/2017] [Accepted: 07/12/2017] [Indexed: 11/09/2022]
Affiliation(s)
- Matthew C. Hutchinson
- Center for Integrative Ecology; School of Biological Sciences; University of Canterbury; Private Bag 4800 Christchurch New Zealand
- Department of Ecology and Evolutionary Biology; Princeton University; 106A Guyot Hall Princeton New Jersey 08540 USA
| | - Edgar Fernando Cagua
- Center for Integrative Ecology; School of Biological Sciences; University of Canterbury; Private Bag 4800 Christchurch New Zealand
| | - Daniel B. Stouffer
- Center for Integrative Ecology; School of Biological Sciences; University of Canterbury; Private Bag 4800 Christchurch New Zealand
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12
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Charlery de la Masselière M, Ravigné V, Facon B, Lefeuvre P, Massol F, Quilici S, Duyck PF. Changes in phytophagous insect host ranges following the invasion of their community: Long-term data for fruit flies. Ecol Evol 2017; 7:5181-5190. [PMID: 28770058 PMCID: PMC5528217 DOI: 10.1002/ece3.2968] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 03/03/2017] [Accepted: 03/16/2017] [Indexed: 01/16/2023] Open
Abstract
The invasion of an established community by new species can trigger changes in community structure. Invasions often occur in phytophagous insect communities, the dynamics of which are driven by the structure of the host assemblage and the presence of competitors. In this study, we investigated how a community established through successive invasions changed over time, taking the last invasion as the reference. The community included four generalist and four specialist species of Tephritidae fruit flies. We analyzed a long‐term database recording observed numbers of flies per fruit for each species on 36 host plants, over 18 years, from 1991 to 2009. Community structure before the last invasion by Bactrocera zonata in 2000 was described in relation to host plant phylogeny and resource availability. Changes in the host range of each species after the arrival of B. zonata were then documented by calculating diversity indices. The flies in the community occupied three types of niches defined on the basis of plant phylogeny (generalists, Solanaceae specialist, and Cucurbitaceae specialists). After the arrival of B. zonata, no change in the host range of specialist species was observed. However, the host ranges of two generalist species, Ceratitis quilicii and Ceratitis capitata, tended to shrink, as shown by the decreases in species richness and host plant α‐diversity. Our study shows increased host specialization by generalist phytophagous insects in the field following the arrival of an invasive species sharing part of their resources. These findings could be used to improve predictions of new interactions between invaders and recipient communities.
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Affiliation(s)
| | | | - Benoît Facon
- UMR CBGP INRA Montferrier-sur-Lez France.,UMR PVBMT INRA Saint-Pierre Réunion France
| | | | - François Massol
- CNRS UMR 8198 - Evo-Eco-Paleo Univ. Lille SPICI group Lille France
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13
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Chen L, Zheng Y, Gao C, Mi XC, Ma KP, Wubet T, Guo LD. Phylogenetic relatedness explains highly interconnected and nested symbiotic networks of woody plants and arbuscular mycorrhizal fungi in a Chinese subtropical forest. Mol Ecol 2017; 26:2563-2575. [DOI: 10.1111/mec.14061] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 01/05/2017] [Accepted: 02/06/2017] [Indexed: 01/06/2023]
Affiliation(s)
- Liang Chen
- State Key Laboratory of Mycology; Institute of Microbiology; Chinese Academy of Sciences; Beijing 100101 China
- College of Life Sciences; University of Chinese Academy of Sciences; Beijing 100049 China
| | - Yong Zheng
- State Key Laboratory of Mycology; Institute of Microbiology; Chinese Academy of Sciences; Beijing 100101 China
| | - Cheng Gao
- State Key Laboratory of Mycology; Institute of Microbiology; Chinese Academy of Sciences; Beijing 100101 China
| | - Xiang-Cheng Mi
- State Key Laboratory of Vegetation and Environmental Change; Institute of Botany; Chinese Academy of Sciences; Beijing 100093 China
| | - Ke-Ping Ma
- State Key Laboratory of Vegetation and Environmental Change; Institute of Botany; Chinese Academy of Sciences; Beijing 100093 China
| | - Tesfaye Wubet
- Department of Soil Ecology; UFZ - Helmholtz Centre for Environmental Research; 06120 Halle (Saale) Germany
- The German Centre for Integrative Biodiversity Research (iDiv); University Leipzig; 04103 Leipzig Germany
| | - Liang-Dong Guo
- State Key Laboratory of Mycology; Institute of Microbiology; Chinese Academy of Sciences; Beijing 100101 China
- College of Life Sciences; University of Chinese Academy of Sciences; Beijing 100049 China
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14
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Abstract
Species co-occurrence in ecological communities is thought to be influenced by multiple ecological and evolutionary processes, especially colonization and competition. However, effects of other interspecific interactions and evolutionary relationships are less explored. We examined evolutionary histories of community members and roles of mutualistic and parasitic interactions (Müllerian and Batesian mimicry, respectively) in the assembly of mimetic butterfly communities called mimicry rings in tropical forests of the Western Ghats, India. We found that Müllerian mimics were phylogenetically clustered, sharing aposematic signals due to common ancestry. On the other hand, Batesian mimics joined mimicry rings through convergent evolution and random phylogenetic assembly. Since the Western Ghats are a habitat island, we compared species diversity and composition in its mimicry rings with those of habitat mainland to test effects of biogeographic connectivity. The Western Ghats consisted of fewer mimicry rings and an overall smaller number of aposematic species and mimics compared to habitat mainland. The depauperate mimicry rings in the Western Ghats could have resulted from stochastic processes, reflecting their long temporal and spatial isolation and trickling colonization by the mimetic butterfly communities. These results highlight how evolutionary history, biogeographic isolation, and stochastic colonization influence the evolutionary assembly and diversity of ecological communities.
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Geslin B, Gauzens B, Baude M, Dajoz I, Fontaine C, Henry M, Ropars L, Rollin O, Thébault E, Vereecken N. Massively Introduced Managed Species and Their Consequences for Plant–Pollinator Interactions. ADV ECOL RES 2017. [DOI: 10.1016/bs.aecr.2016.10.007] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Bergamini LL, Lewinsohn TM, Jorge LR, Almeida-Neto M. Manifold influences of phylogenetic structure on a plant-herbivore network. OIKOS 2016. [DOI: 10.1111/oik.03567] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Leonardo Lima Bergamini
- Depto de Ecologia; Univ. Federal de Goiás; Goiânia Goiás Brazil
- Programa de Pós-Graduação em Ecologia e Evolução; Univ. Federal de Goiás; Goiânia Goiás Brazil
| | | | - Leonardo R. Jorge
- Depto de Biologia Animal; Univ. Estadual de Campinas; Campinas SP Brazil
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Augustyn WJ, Anderson B, Ellis AG. Experimental evidence for fundamental, and not realized, niche partitioning in a plant-herbivore community interaction network. J Anim Ecol 2016; 85:994-1003. [DOI: 10.1111/1365-2656.12536] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 04/04/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Willem J. Augustyn
- Department of Botany and Zoology; University of Stellenbosch; Private Bag X1 Matieland 7602 South Africa
| | - Bruce Anderson
- Department of Botany and Zoology; University of Stellenbosch; Private Bag X1 Matieland 7602 South Africa
| | - Allan G. Ellis
- Department of Botany and Zoology; University of Stellenbosch; Private Bag X1 Matieland 7602 South Africa
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Affiliation(s)
- Guadalupe Peralta
- Instituto Argentino de Investigaciones de las Zonas Áridas CONICET CC 507 5500 Mendoza Argentina
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Roslin T, Majaneva S. The use of DNA barcodes in food web construction-terrestrial and aquatic ecologists unite! Genome 2016; 59:603-28. [PMID: 27484156 DOI: 10.1139/gen-2015-0229] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
By depicting who eats whom, food webs offer descriptions of how groupings in nature (typically species or populations) are linked to each other. For asking questions on how food webs are built and work, we need descriptions of food webs at different levels of resolution. DNA techniques provide opportunities for highly resolved webs. In this paper, we offer an exposé of how DNA-based techniques, and DNA barcodes in particular, have recently been used to construct food web structure in both terrestrial and aquatic systems. We highlight how such techniques can be applied to simultaneously improve the taxonomic resolution of the nodes of the web (i.e., the species), and the links between them (i.e., who eats whom). We end by proposing how DNA barcodes and DNA information may allow new approaches to the construction of larger interaction webs, and overcome some hurdles to achieving adequate sample size. Most importantly, we propose that the joint adoption and development of these techniques may serve to unite approaches to food web studies in aquatic and terrestrial systems-revealing the extent to which food webs in these environments are structured similarly to or differently from each other, and how they are linked by dispersal.
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Affiliation(s)
- Tomas Roslin
- a Department of Ecology, Swedish University of Agricultural Sciences, Box 7044, 750 07 Uppsala, Sweden.,b Spatial Foodweb Ecology Group, Department of Agricultural Sciences, PO Box 27, (Latokartanonkaari 5), FI-00014 University of Helsinki, Finland
| | - Sanna Majaneva
- c Centre for Ecology and Evolution in Microbial model Systems (EEMiS), Department of Biology and Environmental Science, Linnaeus University, 39182 Kalmar, Sweden
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