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Martins LP, Garcia-Callejas D, Lai HR, Wootton KL, Tylianakis JM. The propagation of disturbances in ecological networks. Trends Ecol Evol 2024; 39:558-570. [PMID: 38402007 DOI: 10.1016/j.tree.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/17/2023] [Accepted: 01/25/2024] [Indexed: 02/26/2024]
Abstract
Despite the development of network science, we lack clear heuristics for how far different disturbance types propagate within and across species interaction networks. We discuss the mechanisms of disturbance propagation in ecological networks, and propose that disturbances can be categorized into structural, functional, and transmission types according to their spread and effect on network structure and functioning. We describe the properties of species and their interaction networks and metanetworks that determine the indirect, spatial, and temporal extent of propagation. We argue that the sampling scale of ecological studies may have impeded predictions regarding the rate and extent that a disturbance spreads, and discuss directions to help ecologists to move towards a predictive understanding of the propagation of impacts across interacting communities and ecosystems.
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Affiliation(s)
- Lucas P Martins
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand.
| | - David Garcia-Callejas
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand
| | - Hao Ran Lai
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand; Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand
| | - Kate L Wootton
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand
| | - Jason M Tylianakis
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand; Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, Aotearoa New Zealand
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2
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Krasnov BR, Barki G, Khokhlova IS. Dissimilarity in flea and host assemblages and their interaction networks along a spatial distance gradient: different patterns revealed by different network dissimilarity metrics. Oecologia 2024; 205:397-409. [PMID: 38842685 DOI: 10.1007/s00442-024-05578-z] [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: 05/08/2024] [Accepted: 05/29/2024] [Indexed: 06/07/2024]
Abstract
We investigated the distance-decay pattern (an increase in dissimilarity with increasing geographic distance) in regional assemblages of fleas and their small mammalian hosts, as well as their interaction networks, in four biogeographic realms. Dissimilarity of assemblages (βtotal) was partitioned into species richness differences (βrich) and species replacement (βrepl) components. Dissimilarity of networks was assessed using two metrics: (a) whole network dissimilarity (βWN) partitioned into species replacement (βST) and interaction rewiring (βOS) components and (b) D statistics, measuring dissimilarity in the pure structure of the networks, without using information on species identities and calculated for hosts-shared-by-fleas networks (Dh) and fleas-shared-by-hosts networks (Df). We asked whether the distance-decay pattern (a) occurs among interactor assemblages or their interaction networks; (b) depends on the network dissimilarity metric used; and (c) differs between realms. The βtotal and βrepl of flea and host assemblages increased with distance in all realms except for host assemblages in the Afrotropics. βrich for flea and host assemblages increased with distance in the Nearctic only. In networks, βWN and βST demonstrated a distance-decay pattern, whereas βOS was mainly spatially invariant except in the Neotropics. Correlations of Dh or Df and geographic distance were mostly non-significant. We conclude that investigations of dissimilarity in interaction networks should include both types of dissimilarity metrics (those that consider partner identities and those that consider the pure structure of networks). This will allow elucidating the predictability of some facets of network dissimilarity and the unpredictability of other facets.
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Affiliation(s)
- Boris R Krasnov
- Mitrani Department of Desert Ecology, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990, Midreshet Ben-Gurion, Israel.
| | - Goni Barki
- Mitrani Department of Desert Ecology, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990, Midreshet Ben-Gurion, Israel
| | - Irina S Khokhlova
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
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3
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Moisset de Espanés P, Ramos-Jiliberto R. Both local stability and dispersal contribute to metacommunity sensitivity to asynchronous habitat availability. Sci Rep 2024; 14:6273. [PMID: 38491098 PMCID: PMC10943024 DOI: 10.1038/s41598-024-56632-y] [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: 11/07/2023] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
The stability of isolated communities depends on the complexity of their foodwebs. However, it remains unclear how local stability interacts with dispersal in multitrophic metacommunities to shape biodiversity patterns. This lack of understanding is deeper in the more realistic frame of landscapes that exhibit non-trivial and time-varying structures. Therefore, in this study, we aim to evaluate the influence of local stabilizing factors versus dispersal in determining the sensitivity of metacommunity biodiversity to increasing asynchrony of site availability. Additionally, we assess the role of foodweb complexity and landscape structure as modulating factors. To accomplish our goals we developed a model based on random matrices for local communities, which are linked by stochastic dispersal over explicit dynamic landscapes. We ran numerical simulations and computed the effect sizes of foodweb temperature, self-limitation, dispersal ability, and all pairwise combinations, on the sensitivity of biodiversity to landscape asynchrony. In our experiments we explored gradients of species richness, foodweb connectance, number of sites, and landscape modularity. Our results showed that asynchrony among site availability periods reduced α -diversity and increased β -diversity. Asynchrony increased γ -diversity at high dispersal rates. Both local and regional stabilizing factors determined the sensitivity of metacommunities to landscape asynchrony. Local factors were more influential in landscapes with fewer sites and lower modularity, as well as in metacommunities composed of complex foodwebs. This research offers insights into the dynamics of metacommunities in dynamic landscapes, providing valuable knowledge about the interplay between local and regional factors in shaping ecological stability and species persistence.
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Affiliation(s)
- Pablo Moisset de Espanés
- Centro de Biotecnología y Bioingeniería, Universidad de Chile, Av. Beaucheff 851, Santiago, Chile
| | - Rodrigo Ramos-Jiliberto
- GEMA Center for Genomics, Ecology and Environment, Universidad Mayor, Camino La Pirámide 5750, Huechuraba, Santiago, Chile.
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4
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Cazelles K. Isolating interactions from co-occurrences. Nat Ecol Evol 2024; 8:184-185. [PMID: 38012362 DOI: 10.1038/s41559-023-02245-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Affiliation(s)
- Kevin Cazelles
- College of Biological Science, University of Guelph, Guelph, Ontario, Canada.
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5
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Zelnik YR, Galiana N, Barbier M, Loreau M, Galbraith E, Arnoldi JF. How collectively integrated are ecological communities? Ecol Lett 2024; 27:e14358. [PMID: 38288867 DOI: 10.1111/ele.14358] [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: 01/23/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 02/01/2024]
Abstract
Beyond abiotic conditions, do population dynamics mostly depend on a species' direct predators, preys and conspecifics? Or can indirect feedback that ripples across the whole community be equally important? Determining where ecological communities sit on the spectrum between these two characterizations requires a metric able to capture the difference between them. Here we show that the spectral radius of a community's interaction matrix provides such a metric, thus a measure of ecological collectivity, which is accessible from imperfect knowledge of biotic interactions and related to observable signatures. This measure of collectivity integrates existing approaches to complexity, interaction structure and indirect interactions. Our work thus provides an original perspective on the question of to what degree communities are more than loose collections of species or simple interaction motifs and explains when pragmatic reductionist approaches ought to suffice or fail when applied to ecological communities.
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Affiliation(s)
- Yuval R Zelnik
- Department of Crop Production Ecology, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
- Department of Ecology, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden
| | - Nuria Galiana
- Department of Biogeography and Global Change, National Museum of Natural Sciences (CSIC), Madrid, Spain
| | - Matthieu Barbier
- CIRAD, UMR PHIM, Montpellier, France
- PHIM Plant Health Institute, University of Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Michel Loreau
- Theoretical and Experimental Ecology Station, CNRS Moulis, Moulis, France
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Eric Galbraith
- Department of Earth and Planetary Science, McGill University, Montreal, Quebec, Canada
- Institut de Ciència i Tecnologia Ambientals (ICTA-UAB), Universitat Autònoma de Barcelona, Barcelona, Spain
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Cornell CR, Zhang Y, Ning D, Xiao N, Wagle P, Xiao X, Zhou J. Land use conversion increases network complexity and stability of soil microbial communities in a temperate grassland. THE ISME JOURNAL 2023; 17:2210-2220. [PMID: 37833523 PMCID: PMC10689820 DOI: 10.1038/s41396-023-01521-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/29/2023] [Accepted: 09/19/2023] [Indexed: 10/15/2023]
Abstract
Soils harbor highly diverse microbial communities that are critical to soil health, but agriculture has caused extensive land use conversion resulting in negative effects on critical ecosystem processes. However, the responses and adaptations of microbial communities to land use conversion have not yet been understood. Here, we examined the effects of land conversion for long-term crop use on the network complexity and stability of soil microbial communities over 19 months. Despite reduced microbial biodiversity in comparison with native tallgrass prairie, conventionally tilled (CT) cropland significantly increased network complexity such as connectivity, connectance, average clustering coefficient, relative modularity, and the number of species acting at network hubs and connectors as well as resulted in greater temporal variation of complexity indices. Molecular ecological networks under CT cropland became significantly more robust and less vulnerable, overall increasing network stability. The relationship between network complexity and stability was also substantially strengthened due to land use conversion. Lastly, CT cropland decreased the number of relationships between network structure and environmental properties instead being strongly correlated to management disturbances. These results indicate that agricultural disturbance generally increases the complexity and stability of species "interactions", possibly as a trade-off for biodiversity loss to support ecosystem function when faced with frequent agricultural disturbance.
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Affiliation(s)
- Carolyn R Cornell
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA
- Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA
| | - Ya Zhang
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA
| | - Daliang Ning
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA
| | - Naijia Xiao
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA
| | - Pradeep Wagle
- USDA, Agricultural Research Service, Oklahoma and Central Plains Agricultural Research Center, El Reno, OK, USA
| | - Xiangming Xiao
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Jizhong Zhou
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA.
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.
- School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Ok, USA.
- School of Computer Science, University of Oklahoma, Norman, OK, USA.
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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7
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Pérez-Botello AM, Dáttilo W, Simões N. Geographic range size and species morphology determines the organization of sponge host-guest interaction networks across tropical coral reefs. PeerJ 2023; 11:e16381. [PMID: 38025729 PMCID: PMC10680448 DOI: 10.7717/peerj.16381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Sponges are widely spread organisms in the tropical reefs of the American Northwest-Atlantic Ocean, they structure ecosystems and provide services such as shelter, protection from predators, and food sources to a wide diversity of both vertebrates and invertebrates species. The high diversity of sponge-associated fauna can generate complex networks of species interactions over small and large spatial-temporal gradients. One way to start uncovering the organization of the sponge host-guest complex networks is to understand how the accumulated geographic area, the sponge morphology and, sponge taxonomy contributes to the connectivity of sponge species within such networks. This study is a meta-analysis based on previous sponge host-guest literature obtained in 65 scientific publications, yielding a total of 745 host-guest interactions between sponges and their associated fauna across the Caribbean Sea and the Gulf of Mexico. We analyzed the sponge species contribution to network organization in the Northwest Tropical Atlantic coral reefs by using the combination of seven complementary species-level descriptors and related this importance with three main traits, sponge-accumulated geographic area, functional sponge morphology, and sponges' taxonomy bias. In general, we observed that sponges with a widespread distribution and a higher accumulated geographic area had a greater network structural contribution. Similarly, we also found that Cup-like and Massive functional morphologies trend to be shapes with a greater contribution to the interaction network organization compared to the Erect and Crust-like morphos. Lastly, we did not detect a taxonomy bias between interaction network organization and sponges' orders. These results highlight the importance of a specific combination of sponge traits to promote the diversity of association between reef sponges and their guest species.
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Affiliation(s)
- Antar Mijail Pérez-Botello
- Unidad Multidisciplinaria de Docencia e Investigación, Facultad de Ciencias, Universidad Nacional Autónoma de México, Sisal, Yucatán, Mexico
- Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Wesley Dáttilo
- Red de Ecoetología, Instituto de Ecología A.C., Xalapa, Veracruz, Mexico
| | - Nuno Simões
- Unidad Multidisciplinaria de Docencia e Investigación, Facultad de Ciencias, Universidad Nacional Autónoma de México, Sisal, Yucatán, Mexico
- Laboratorio Nacional de Resilencia Costera (LANRESC, CONACYT), Sisal, Yucatan, Mexico
- International Chair for Coastal and Marine Studies in Mexico, Harte Research Institute for Gulf of Mexico Studies, Texas A&M University, Corpus Christi, TX, United States of America
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8
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Cagnolo L, Bernaschini L, Salvo A, Valladares G. Habitat area and edges affect the length of trophic chains in a fragmented forest. J Anim Ecol 2023; 92:2067-2077. [PMID: 37649437 DOI: 10.1111/1365-2656.13998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023]
Abstract
The food chain length represents how much energy reaches different trophic levels in food webs. Environmental changes derived from human activities have the potential to affect chain length. We explore how habitat area and edges affect chain length through: (1) a bottom-up effect of abundance ('pyramid hypothesis'); (2) the truncation of the highest trophic level ('trophic-rank hypothesis'); and (3) changes in species connectivity patterns ('connectivity hypothesis'). We built plant-leaf miner-parasitoid food webs in 19 remnants of a fragmented Chaco forest from central Argentina. On each remnant, we constructed food webs from different locations at the forest interior and edges. For each food web, we registered the abundance of species, the species richness of each trophic level, estimated the connectivity of their networks, and the average food chain length. We used structural equation models to evaluate the direct and indirect effects of habitat area and edge/interior location on food chain length mediated by species richness, abundance and connectivity. We found no direct effects of habitat area on chain length but chains were longer at forest edges than at their interior. The three mechanisms were supported by our results, although they showed different strengths. First, we found that the interior favours a bottom-up abundance effect from herbivores to parasitoids that positively affected chain length; second, we found that the forest area positively affects plant richness, which has a strong effect on the number of resources used by consumers, with a positive effect on chain length. Third, the remnant area and interior position favoured plant richness with a negative effect on the abundance of parasitoids, which had a positive effect on chain length. In general, the strongest effects on chain length were detected through changes in abundance rather than species richness although abundance was less affected by habitat fragmentation. We evaluated for the first time the effects of human-driven habitat fragmentation on the length of trophic chains in highly diverse plant-herbivore-parasitoid networks. Despite the loss of species, small habitat fragments and edges embedded in the agricultural matrix can support interaction networks, making them conservation targets in managed landscapes.
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Affiliation(s)
- Luciano Cagnolo
- Instituto Multidisciplinario de Biologı́a Vegetal, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Cientı́ficas y Técnicas, Córdoba, Argentina
| | - Laura Bernaschini
- Instituto Multidisciplinario de Biologı́a Vegetal, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Cientı́ficas y Técnicas, Córdoba, Argentina
| | - Adriana Salvo
- Instituto Multidisciplinario de Biologı́a Vegetal, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Cientı́ficas y Técnicas, Córdoba, Argentina
| | - Graciela Valladares
- Instituto Multidisciplinario de Biologı́a Vegetal, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Cientı́ficas y Técnicas, Córdoba, Argentina
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Wang M, Wang X, Zhou S, Chen Z, Chen M, Feng S, Li J, Shu W, Cao B. Strong succession in prokaryotic association networks and community assembly mechanisms in an acid mine drainage-impacted riverine ecosystem. WATER RESEARCH 2023; 243:120343. [PMID: 37482007 DOI: 10.1016/j.watres.2023.120343] [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: 06/02/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
Acid mine drainage (AMD) serves as an ideal model system for investigating microbial ecology, interaction, and assembly mechanism in natural environments. While previous studies have explored the structure and function of microbial communities in AMD, the succession patterns of microbial association networks and underlying assembly mechanisms during natural attenuation processes remain elusive. Here, we investigated prokaryotic microbial diversity and community assembly along an AMD-impacted river, from the extremely acidic, heavily polluted headwaters to the nearly neutral downstream sites. Microbial diversity was increased along the river, and microbial community composition shifted from acidophile-dominated to freshwater taxa-dominated communities. The complexity and relative modularity of the microbial networks were also increased, indicating greater network stability during succession. Deterministic processes, including abiotic selection of pH and high contents of sulfur and iron, governed community assembly in the headwaters. Although the stochasticity ratio was increased downstream, manganese content, microbial negative cohesion, and relative modularity played important roles in shaping microbial community structure. Overall, this study provides valuable insights into the ecological processes that govern microbial community succession in AMD-impacted riverine ecosystems. These findings have important implications for in-situ remediation of AMD contamination.
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Affiliation(s)
- Mengmeng Wang
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Xiaonan Wang
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Sining Zhou
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Zifeng Chen
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Mengyun Chen
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Shiwei Feng
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Jintian Li
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Wensheng Shu
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Baichuan Cao
- Institute of Ecological Science and Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou 510631, China.
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10
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Wang P, Li S, Yang X, Si X, Li W, Shu W, Jiang L. Spatial scaling of soil microbial co-occurrence networks in a fragmented landscape. MLIFE 2023; 2:209-215. [PMID: 38817624 PMCID: PMC10989968 DOI: 10.1002/mlf2.12073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/23/2023] [Accepted: 04/02/2023] [Indexed: 06/01/2024]
Abstract
Habitat loss has been a primary threat to biodiversity. However, species do not function in isolation but often associate with each other and form complex networks. Thus, revealing how the network complexity and stability scale with habitat area will give us more insights into the effects of habitat loss on ecosystems. In this study, we explored the relationships between the island area and the network complexity and stability of soil microbes. We found that the complexity and stability of soil microbial co-occurrence networks scale positively with island area, indicating that habitat loss will potentially simplify and destabilize soil microbial networks.
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Affiliation(s)
- Pandeng Wang
- State Key Laboratory of Biocontrol, School of Ecology & School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
- School of Biological SciencesGeorgia Institute of TechnologyAtlantaGeorgiaUSA
| | - Shao‐Peng Li
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental SciencesEast China Normal UniversityShanghaiChina
- Institute of Eco‐Chongming (IEC)ShanghaiChina
| | - Xian Yang
- State Key Laboratory of Biocontrol, School of Ecology & School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
- School of Biological SciencesGeorgia Institute of TechnologyAtlantaGeorgiaUSA
| | - Xingfeng Si
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental SciencesEast China Normal UniversityShanghaiChina
- Institute of Eco‐Chongming (IEC)ShanghaiChina
| | - Wen‐Jun Li
- State Key Laboratory of Biocontrol, School of Ecology & School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina
| | - Wensheng Shu
- School of Life SciencesSouth China Normal UniversityGuangzhouChina
| | - Lin Jiang
- School of Biological SciencesGeorgia Institute of TechnologyAtlantaGeorgiaUSA
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11
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Guo G, Zhao F, Nijs I, Liao J. Colonization-competition dynamics of basal species shape food web complexity in island metacommunities. MARINE LIFE SCIENCE & TECHNOLOGY 2023; 5:169-177. [PMID: 37275541 PMCID: PMC10232389 DOI: 10.1007/s42995-023-00167-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 02/28/2023] [Indexed: 06/07/2023]
Abstract
Exploring how food web complexity emerges and evolves in island ecosystems remains a major challenge in ecology. Food webs assembled from multiple islands are commonly recognized as highly complex trophic networks that are dynamic in both space and time. In the context of global climate change, it remains unclear whether food web complexity will decrease in a monotonic fashion when undergoing habitat destruction (e.g., the inundation of islands due to sea-level rise). Here, we develop a simple yet comprehensive patch-dynamic framework for complex food web metacommunities subject to the competition-colonization tradeoff between basal species. We found that oscillations in food web topological complexity (characterized by species diversity, mean food chain length and the degree of omnivory) emerge along the habitat destruction gradient. This outcome is robust to changing parameters or relaxing the assumption of a strict competitive hierarchy. Having oscillations in food web complexity indicates that small habitat changes could have disproportionate negative effects on species diversity, thus the success of conservation actions should be evaluated not only on changes in biodiversity, but also on system robustness to habitat alteration. Overall, this study provides a parsimonious mechanistic explanation for the emergence of food web complexity in island ecosystems, further enriching our understanding of metacommunity assembly. Supplementary Information The online version contains supplementary material available at 10.1007/s42995-023-00167-0.
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Affiliation(s)
- Guanming Guo
- Ministry of Education’s Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022 China
| | - Fei Zhao
- Ministry of Education’s Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022 China
| | - Ivan Nijs
- Research Group in Plants and Ecosystems, Department of Biology, University of Antwerp, 2610 Wilrijk, Belgium
| | - Jinbao Liao
- Ministry of Education’s Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022 China
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12
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Brimacombe C, Bodner K, Michalska-Smith M, Poisot T, Fortin MJ. Shortcomings of reusing species interaction networks created by different sets of researchers. PLoS Biol 2023; 21:e3002068. [PMID: 37011096 PMCID: PMC10101633 DOI: 10.1371/journal.pbio.3002068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 04/13/2023] [Accepted: 03/07/2023] [Indexed: 04/05/2023] Open
Abstract
Given the requisite cost associated with observing species interactions, ecologists often reuse species interaction networks created by different sets of researchers to test their hypotheses regarding how ecological processes drive network topology. Yet, topological properties identified across these networks may not be sufficiently attributable to ecological processes alone as often assumed. Instead, much of the totality of topological differences between networks-topological heterogeneity-could be due to variations in research designs and approaches that different researchers use to create each species interaction network. To evaluate the degree to which this topological heterogeneity is present in available ecological networks, we first compared the amount of topological heterogeneity across 723 species interaction networks created by different sets of researchers with the amount quantified from non-ecological networks known to be constructed following more consistent approaches. Then, to further test whether the topological heterogeneity was due to differences in study designs, and not only to inherent variation within ecological networks, we compared the amount of topological heterogeneity between species interaction networks created by the same sets of researchers (i.e., networks from the same publication) with the amount quantified between networks that were each from a unique publication source. We found that species interaction networks are highly topologically heterogeneous: while species interaction networks from the same publication are much more topologically similar to each other than interaction networks that are from a unique publication, they still show at least twice as much heterogeneity as any category of non-ecological networks that we tested. Altogether, our findings suggest that extra care is necessary to effectively analyze species interaction networks created by different researchers, perhaps by controlling for the publication source of each network.
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Affiliation(s)
- Chris Brimacombe
- Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Korryn Bodner
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Matthew Michalska-Smith
- Department of Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, Minnesota, United States of America
- Department of Plant Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Timothée Poisot
- Département de Sciences Biologiques, Université de Montréal, Montréal, Québec, Canada
- Centre de la Science de la Biodiversité du Québec, Montréal, Québec, Canada
| | - Marie-Josée Fortin
- Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
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13
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Norberg A, Susi H, Sallinen S, Baran P, Clark NJ, Laine AL. Direct and indirect viral associations predict coexistence in wild plant virus communities. Curr Biol 2023; 33:1665-1676.e4. [PMID: 37019108 DOI: 10.1016/j.cub.2023.03.022] [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: 11/02/2022] [Revised: 01/17/2023] [Accepted: 03/08/2023] [Indexed: 04/07/2023]
Abstract
Viruses are a vastly underestimated component of biodiversity that occur as diverse communities across hierarchical scales from the landscape level to individual hosts. The integration of community ecology with disease biology is a powerful, novel approach that can yield unprecedented insights into the abiotic and biotic drivers of pathogen community assembly. Here, we sampled wild plant populations to characterize and analyze the diversity and co-occurrence structure of within-host virus communities and their predictors. Our results show that these virus communities are characterized by diverse, non-random coinfections. Using a novel graphical network modeling framework, we demonstrate how environmental heterogeneity influences the network of virus taxa and how the virus co-occurrence patterns can be attributed to non-random, direct statistical virus-virus associations. Moreover, we show that environmental heterogeneity changed virus association networks, especially through their indirect effects. Our results highlight a previously underestimated mechanism of how environmental variability can influence disease risks by changing associations between viruses that are conditional on their environment.
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Affiliation(s)
- Anna Norberg
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, 8057 Zürich, Switzerland; Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, 7034 Trondheim, Norway.
| | - Hanna Susi
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65 00014, Helsinki, Finland
| | - Suvi Sallinen
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65 00014, Helsinki, Finland
| | - Pezhman Baran
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65 00014, Helsinki, Finland
| | - Nicholas J Clark
- School of Veterinary Science, Faculty of Science, University of Queensland, Gatton, QL 4343, Australia
| | - Anna-Liisa Laine
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, 8057 Zürich, Switzerland; Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, PO Box 65 00014, Helsinki, Finland
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14
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Araujo ASF, Jia X, Miranda ARL, Pereira APDA, Melo VMM, Rocha SMB, Costa RM, Saraiva TCDS, Mendes LW, Salles JF. Changes in the bacterial rare biosphere after permanent application of composted tannery sludge in a tropical soil. CHEMOSPHERE 2023; 313:137487. [PMID: 36521745 DOI: 10.1016/j.chemosphere.2022.137487] [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: 10/06/2022] [Revised: 11/21/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Composted tannery sludge (CTS) promotes shifts in soil chemical properties, affecting microbial communities. Although the effect of CTS application on the bacterial community has been studied, it is unclear whether this impact discriminates between the dominant and rare species. This present study investigated how the dominant and rare bacterial communities respond over time to different concentrations of CTS application (0, 2.5, 5, 10, and 20 tons/ha) for 180 days. The richness of operational taxonomic units (OTU) was 30-fold higher in the rare than in the dominant biosphere. While some phyla shifted their relative abundance differently in the dominant and rare biosphere, some genera increased their relative abundance under higher CTS concentrations, such as Nocardioides (∼100%), Rubrobacter (∼300%), and Nordella (∼400%). Undominated processes largely governed the dominant biosphere (76.97%), followed by homogeneous (12.51%) and variable (8.03%) selection, and to a lesser extent, the dispersal limitation (2.48%). The rare biosphere was driven by the CTS application as evidenced by the exclusively homogeneous selection (100%). This study showed that the rare biosphere was more sensitive to changes in soil chemical parameters due to CTS application, which evidences the importance explore this portion of the bacterial community for its biotechnological use in contaminated soils.
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Affiliation(s)
| | - Xiu Jia
- Microbial Ecology Cluster, Genomics Research in Ecology and Evolution in Nature (GREEN), Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen 9747AG, the Netherlands
| | | | | | | | | | | | | | - Lucas William Mendes
- Centro de Energia Nuclear na Agricultura, Universidade de Sao Paulo, Piracicaba, SP Brazil
| | - Joana Falcão Salles
- Microbial Ecology Cluster, Genomics Research in Ecology and Evolution in Nature (GREEN), Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen 9747AG, the Netherlands
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15
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Wang M, Wang C, Yu Z, Wang H, Wu C, Masoudi A, Liu J. Fungal diversities and community assembly processes show different biogeographical patterns in forest and grassland soil ecosystems. Front Microbiol 2023; 14:1036905. [PMID: 36819045 PMCID: PMC9928764 DOI: 10.3389/fmicb.2023.1036905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/16/2023] [Indexed: 02/04/2023] Open
Abstract
Soil fungal community has been largely explored by comparing their natural diversity. However, there is a relatively small body of literature concerned with fungal community assembly processes and their co-occurrence network correlations carried out across large spatial-temporal scales with complex environmental gradients in natural ecosystems and different habitats in China. Thus, soil fungal community assembly processes were assessed to predict changes in soil function in 98 different forest and grassland sites from the Sichuan, Hubei, and Hebei Provinces of China using high-throughput sequencing of nuclear ribosomal internal transcribed spacer 2 (ITS-2). The 10 most abundant fungal phyla results showed that Ascomycota was the most abundant phylum in forests from Sichuan province (64.42%) and grassland habitats from Hebei province (53.46%). Moreover, core fungal taxa (487 OTUs) represented 0.35% of total fungal OTUs. We observed higher fungal Shannon diversity and richness (the Chao1 index) from diverse mixed forests of the Sichuan and Hubei Provinces than the mono-cultured forest and grassland habitats in Hebei Province. Although fungal alpha and beta diversities exhibited different biogeographical patterns, the fungal assembly pattern was mostly driven by dispersal limitation than selection in different habitats. Fungal co-occurrence analyses showed that the network was more intense at Saihanba National Forest Park (SNFP, Hebei). In contrast, the co-occurrence network was more complex at boundaries between forests and grasslands at SNFP. Additionally, the highest number of positive (co-presence or co-operative) correlations of fungal genera were inferred from grassland habitat, which led fungal communities to form commensalism relationships compared to forest areas with having higher negative correlations (mutual exclusion or competitive). The generalized additive model (GAM) analysis showed that the association of fungal Shannon diversity and richness indices with geographical coordinates did not follow a general pattern; instead, the fluctuation of these indices was restricted to local geographical coordinates at each sampling location. These results indicated the existence of a site effect on the diversity of fungal communities across our sampling sites. Our observation suggested that higher fungal diversity and richness of fungal taxa in a particular habitat are not necessarily associated with more complex networks.
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16
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Scale of effect matters: Forest cover influences on tropical ant-plant ecological networks. FOOD WEBS 2022. [DOI: 10.1016/j.fooweb.2022.e00256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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17
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Plant-frugivore network simplification under habitat fragmentation leaves a small core of interacting generalists. Commun Biol 2022; 5:1214. [PMID: 36357489 PMCID: PMC9649668 DOI: 10.1038/s42003-022-04198-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 10/31/2022] [Indexed: 11/12/2022] Open
Abstract
Habitat fragmentation impacts seed dispersal processes that are important in maintaining biodiversity and ecosystem functioning. However, it is still unclear how habitat fragmentation affects frugivorous interactions due to the lack of high-quality data on plant-frugivore networks. Here we recorded 10,117 plant-frugivore interactions from 22 reservoir islands and six nearby mainland sites using the technology of arboreal camera trapping to assess the effects of island area and isolation on the diversity, structure, and stability of plant-frugivore networks. We found that network simplification under habitat fragmentation reduces the number of interactions involving specialized species and large-bodied frugivores. Small islands had more connected, less modular, and more nested networks that consisted mainly of small-bodied birds and abundant plants, as well as showed evidence of interaction release (i.e., dietary expansion of frugivores). Our results reveal the importance of preserving large forest remnants to support plant-frugivore interaction diversity and forest functionality. Smaller communities, such as those on islands, under ecological network simplification reduce interactions between specialist organisms.
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18
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Felix GM, Pinheiro RBP, Jorge LR, Lewinsohn TM. A framework for hierarchical compound topologies in species interaction networks. OIKOS 2022. [DOI: 10.1111/oik.09538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Gabriel M. Felix
- Univ. Estadual de Campinas, Depto de Biologia Animal, Inst. de Biologia Campinas Brazil
| | - Rafael B. P. Pinheiro
- Univ. Estadual de Campinas, Depto de Biologia Animal, Inst. de Biologia Campinas Brazil
| | - Leonardo R. Jorge
- Inst. of Entomology, Biology Centre of the Czech Academy of Sciences České Budějovice Czechia
| | - Thomas M. Lewinsohn
- Univ. Estadual de Campinas, Depto de Biologia Animal, Inst. de Biologia Campinas Brazil
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19
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Wyckhuys KAG, Sanchez Garcia FJ, Santos AMC, Canal NA, Furlong MJ, Melo MC, GC YD, Pozsgai G. Island and Mountain Ecosystems as Testbeds for Biological Control in the Anthropocene. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.912628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
For centuries, islands and mountains have incited the interest of naturalists, evolutionary biologists and ecologists. Islands have been the cradle for biogeography and speciation theories, while mountain ranges have informed how population adaptation to thermal floors shapes the distribution of species globally. Islands of varying size and mountains’ altitudinal ranges constitute unique “natural laboratories” where one can investigate the effects of species loss or global warming on ecosystem service delivery. Although invertebrate pollination or seed dispersal processes are steadily being examined, biological control research is lagging. While observations of a wider niche breadth among insect pollinators in small (i.e., species-poor) islands or at high (i.e., colder) altitudes likely also hold for biological control agents, such remains to be examined. In this Perspective piece, we draw on published datasets to show that island size alone does not explain biological control outcomes. Instead, one needs to account for species’ functional traits, habitat heterogeneity, host community make-up, phenology, site history or even anthropogenic forces. Meanwhile, data from mountain ranges show how parasitism rates of Noctuid moths and Tephritid fruit flies exhibit species- and context-dependent shifts with altitude. Nevertheless, future empirical work in mountain settings could clarify the thermal niche space of individual natural enemy taxa and overall thermal resilience of biological control. We further discuss how global databases can be screened, while ecological theories can be tested, and simulation models defined based upon observational or manipulative assays in either system. Doing so can yield unprecedented insights into the fate of biological control in the Anthropocene and inform ways to reinforce this vital ecosystem service under global environmental change scenarios.
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20
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Liu X, Bearup D, Liao J. Metacommunity robustness to invasion in mutualistic and antagonistic networks. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.109949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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21
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Brimacombe C, Bodner K, Fortin MJ. How network size strongly determines trophic specialisation: A technical comment on Luna et al. (2022). Ecol Lett 2022; 25:1914-1916. [PMID: 35610664 DOI: 10.1111/ele.14029] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 04/23/2022] [Accepted: 05/03/2022] [Indexed: 01/02/2023]
Abstract
Luna et al. (2022) concluded that the environment contributes to explaining specialisation in open plant-pollinator networks. When reproducing their study, we instead found that network size alone largely explained the variation in their specialisation metrics. Thus, we question whether empirical network specialisation is driven by the environment.
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Affiliation(s)
- Chris Brimacombe
- Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Korryn Bodner
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Marie-Josée Fortin
- Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
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22
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Liao J, Bearup D, Strona G. A patch-dynamic metacommunity perspective on the persistence of mutualistic and antagonistic bipartite networks. Ecology 2022; 103:e3686. [PMID: 35315055 DOI: 10.1002/ecy.3686] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 12/28/2021] [Accepted: 01/18/2022] [Indexed: 11/06/2022]
Abstract
The structure of interactions between species within a community plays a key role in maintaining biodiversity. Previous studies have found that the effects of these structures might substantially differ depending on interaction type, for example, a highly connected and nested architecture stabilizes mutualistic communities, while the stability of antagonistic communities is enhanced in modular and weakly connected structures. Here we show that, when network dynamics are modelled using a patch-dynamic metacommunity framework, the qualitative differences between antagonistic and mutualistic systems disappear, with nestedness and modularity interacting to promote metacommunity persistence. However, the interactive effects are significantly weaker in antagonistic metacommunities. Our model also predicts an increase in connectance, nestedness and modularity over time in both types of interaction, except in antagonistic networks where nestedness declines. At steady state, we find a strong negative correlation between nestedness and modularity in both mutualistic and antagonistic metacommunities. These predictions are consistent with the structural trends found in a large dataset of real-world antagonistic and mutualistic communities.
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Affiliation(s)
- Jinbao Liao
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Ziyang Road 99, Nanchang, China
| | - Daniel Bearup
- University of Kent, School of Mathematics, Statistics and Actuarial Sciences, Parkwood Road, Canterbury, UK
| | - Giovanni Strona
- Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 4, Finland
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23
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Bauer B, Berti E, Ryser R, Gauzens B, Hirt MR, Rosenbaum B, Digel C, Ott D, Scheu S, Brose U. Biotic filtering by species' interactions constrains food-web variability across spatial and abiotic gradients. Ecol Lett 2022; 25:1225-1236. [PMID: 35286010 DOI: 10.1111/ele.13995] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/24/2021] [Accepted: 02/11/2022] [Indexed: 11/27/2022]
Abstract
Despite intensive research on species dissimilarity patterns across communities (i.e. β-diversity), we still know little about their implications for variation in food-web structures. Our analyses of 50 lake and 48 forest soil communities show that, while species dissimilarity depends on environmental and spatial gradients, these effects are only weakly propagated to the networks. Moreover, our results show that species and food-web dissimilarities are consistently correlated, but that much of the variation in food-web structure across spatial, environmental, and species gradients remains unexplained. Novel food-web assembly models demonstrate the importance of biotic filtering during community assembly by (1) the availability of resources and (2) limiting similarity in species' interactions to avoid strong niche overlap and thus competitive exclusion. This reveals a strong signature of biotic filtering processes during local community assembly, which constrains the variability in structural food-web patterns across local communities despite substantial turnover in species composition.
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Affiliation(s)
- Barbara Bauer
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Zoological Institute and Museum & Institute for Botany and Landscape Ecology, University of Greifswald, Greifswald, Germany
| | - Emilio Berti
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Remo Ryser
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Benoit Gauzens
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Myriam R Hirt
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Benjamin Rosenbaum
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | | | - David Ott
- Institute of Landscape Ecology, University of Münster, Münster, Germany.,Centre for Biodiversity Monitoring, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | - Stefan Scheu
- JFB Institute of Zoology and Anthropology, University of Göttingen, Göttingen, Germany.,Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany
| | - Ulrich Brose
- Institute of Ecology, Friedrich Schiller University Jena, Jena, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
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24
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Ecological network complexity scales with area. Nat Ecol Evol 2022; 6:307-314. [PMID: 35027724 PMCID: PMC7614050 DOI: 10.1038/s41559-021-01644-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 12/01/2021] [Indexed: 01/17/2023]
Abstract
Larger geographical areas contain more species-an observation raised to a law in ecology. Less explored is whether biodiversity changes are accompanied by a modification of interaction networks. We use data from 32 spatial interaction networks from different ecosystems to analyse how network structure changes with area. We find that basic community structure descriptors (number of species, links and links per species) increase with area following a power law. Yet, the distribution of links per species varies little with area, indicating that the fundamental organization of interactions within networks is conserved. Our null model analyses suggest that the spatial scaling of network structure is determined by factors beyond species richness and the number of links. We demonstrate that biodiversity-area relationships can be extended from species counts to higher levels of network complexity. Therefore, the consequences of anthropogenic habitat destruction may extend from species loss to wider simplification of natural communities.
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25
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McLeod A, Leroux SJ, Gravel D, Chu C, Cirtwill AR, Fortin M, Galiana N, Poisot T, Wood SA. Sampling and asymptotic network properties of spatial multi‐trophic networks. OIKOS 2021. [DOI: 10.1111/oik.08650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Anne McLeod
- Dept of Biology, Memorial Univ. of Newfoundland St. John's NL Canada
| | - Shawn J. Leroux
- Dept of Biology, Memorial Univ. of Newfoundland St. John's NL Canada
| | | | - Cindy Chu
- Aquatic Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry Peterborough ON Canada
- Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada Burlington ON Canada
| | | | - Marie‐Josée Fortin
- Dept of Ecology and Evolutionary Biology, Univ. of Toronto Toronto ON Canada
| | - Núria Galiana
- Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ. Moulis France
| | - Timothée Poisot
- Dépt de Sciences Biologiques, Univ. de Montréal Montréal QC Canada
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26
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Zhang G, Wei G, Wei F, Chen Z, He M, Jiao S, Wang Y, Dong L, Chen S. Dispersal Limitation Plays Stronger Role in the Community Assembly of Fungi Relative to Bacteria in Rhizosphere Across the Arable Area of Medicinal Plant. Front Microbiol 2021; 12:713523. [PMID: 34484152 PMCID: PMC8415459 DOI: 10.3389/fmicb.2021.713523] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 07/30/2021] [Indexed: 12/20/2022] Open
Abstract
Understanding the ecological patterns of rhizosphere microbial communities is critical for propelling sustainable agriculture and managing ecosystem functions by exploiting microorganisms. However, this knowledge is still unclear, especially under host-associated large-scale and regarding the comparison between bacteria and fungi. We examined community assembly processes and community characters including environmental thresholds and co-occurrence patterns across the cultivatable area of Panax notoginseng for bacteria and fungi. Both are vital members of the rhizosphere but differ considerably in their life history and dispersal potentiality. Edaphic factors drove the parallel variations of bacterial and fungal communities. Although bacterial and fungal communities exhibited similar biogeographic patterns, the assembly of fungi was more driven by dispersal limitation than selection compared with bacteria. This finding supported the 'size-dispersal' hypothesis. pH and total nitrogen respectively mediated the relative importance of deterministic and stochastic processes in shaping bacterial and fungal communities. In addition, fungal communities exhibited potentially broader environmental thresholds and more modular co-occurrence patterns than bacteria (bacteria: 0.67; fungi: 0.78). These results emphasized the importance of dispersal limitation in structuring rhizosphere microbiota and shaping community features of ecologically distinct microorganisms. This study provides insights into the improved prediction and management of the key functions of rhizosphere microbiota.
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Affiliation(s)
- Guozhuang Zhang
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Guangfei Wei
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fugang Wei
- Wenshan Miaoxiang Notoginseng Technology, Co., Ltd., Wenshan, China
| | - Zhongjian Chen
- Institute of Sanqi Research, Wenshan University, Wenshan, China
| | - Mingjun He
- Hainan Branch Institute of Medicinal Plant, Chinese Academy of Medical Sciences and Peking Union Medical College, Wanning, China
| | - Shuo Jiao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A & F University, Yangling, China
| | - Yong Wang
- Institute of Sanqi Research, Wenshan University, Wenshan, China
| | - Linlin Dong
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shilin Chen
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
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27
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Lu S, Wang Q, Gao M, Zhao C, She Z, Zhao Y, Jin C, Guo L. Effect of aerobic/anoxic duration on the performance, microbial activity and microbial community of sequencing batch biofilm reactor treating synthetic mariculture wastewater. BIORESOURCE TECHNOLOGY 2021; 333:125198. [PMID: 33910119 DOI: 10.1016/j.biortech.2021.125198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 06/12/2023]
Abstract
The effect of aerobic/anoxic duration on the performance, microbial community and enzymatic activity of sequencing batch biofilm reactor (SBBR) were investigated in treating mariculture wastewater. The microbial oxygen uptake rate and nitrifying rate gradually decreased with the aerobic/anoxic duration from 120/210 to 30/300 min, whereas the nitrite reducing rate and nitrate reducing rate had the opposite results. The activities of dehydrogenase, ammonia monooxygenase and nitrite oxidoreductase gradually decreased with the aerobic/anoxic duration from 120/210 to 30/300 min, but the activities of nitrate reductase and nitrite reductase had a gradual increment. The microbial nitrogen removal rates had similar changing trends to their corresponding enzymatic activities at different aerobic/anoxic duration. The variation of aerobic/anoxic duration obviously affected the microbial richness and diversity of SBBR. The co-occurrence, keystone taxa and significant difference of microbial community had some changes with the aerobic/anoxic duration from 120/210 to 30/300 min.
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Affiliation(s)
- Shuailing Lu
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Qingdao 266100, China
| | - Qianzhi Wang
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Mengchun Gao
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.
| | - Changkun Zhao
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Zonglian She
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Yangguo Zhao
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Qingdao 266100, China
| | - Chunji Jin
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Liang Guo
- Key Lab of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
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28
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Galiana N, Barros C, Braga J, Ficetola GF, Maiorano L, Thuiller W, Montoya JM, Lurgi M. The spatial scaling of food web structure across European biogeographical regions. ECOGRAPHY 2021; 44:653-664. [PMID: 36620425 PMCID: PMC7614028 DOI: 10.1111/ecog.05229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The species-area relationship (SAR) is one of the most well-established scaling patterns in ecology. Its implications for understanding how communities change across spatial gradients are numerous, including the effects of habitat loss on biodiversity. However, ecological communities are not mere collections of species. They are the result of interactions between these species forming complex networks that tie them together. Should we aim to grasp the spatial scaling of biodiversity as a whole, it is fundamental to understand the changes in the structure of interaction networks with area. In spite of a few empirical and theoretical studies that address this challenge, we still do not know much about how network structure changes with area, or what are the main environmental drivers of these changes. Here, using the meta-network of potential interactions between all terrestrial vertebrates in Europe (1140 species and 67 201 feeding interactions), we analysed network-area relationships (NARs) that summarize how network properties scale with area. We do this across ten biogeographical regions, which differ in environmental characteristics. We found that the spatial scaling of network complexity strongly varied across biogeographical regions. However, once the variation in SARs was accounted for, differences in the shape of NARs vanished. On the other hand, the proportion of species across trophic levels remained remarkably constant across biogeographical regions and spatial scales, despite the great variation in species richness. Spatial variation in mean annual temperature and habitat clustering were the main environmental determinants of the shape of both SARs and NARs across Europe. Our results suggest new avenues in the exploration of the effects of environmental factors on the spatial scaling of biodiversity. We argue that NARs can provide new insights to analyse and understand ecological communities.
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Affiliation(s)
- Núria Galiana
- Centre for Biodiversity Modelling and Theory, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ., Moulis, France
| | - Ceres Barros
- Univ. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France; Dept of Forest Resources Management, Faculty of Forestry, Univ. of British Columbia, Vancouver, BC, Canada
| | - João Braga
- Univ. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France
| | - Gentile Francesco Ficetola
- Univ. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France; Dept of Environmental Sciences and Policy, Univ. degli Studi di Milano, Via Celoria
| | - Luigi Maiorano
- Dept of Biology and Biotechnologies 'Charles Darwin', Univ. di Roma 'La Sapienza', Roma, Italia
| | - Wilfried Thuiller
- Univ. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France
| | - José M Montoya
- Centre for Biodiversity Modelling and Theory, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ., Moulis, France
| | - Miguel Lurgi
- Centre for Biodiversity Modelling and Theory, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ., Moulis, France; Dept of Biosciences, Swansea Univ., Swansea, UK
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29
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Fortin MJ, Dale MRT, Brimacombe C. Network ecology in dynamic landscapes. Proc Biol Sci 2021; 288:20201889. [PMID: 33906397 PMCID: PMC8080002 DOI: 10.1098/rspb.2020.1889] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 04/01/2021] [Indexed: 12/25/2022] Open
Abstract
Network ecology is an emerging field that allows researchers to conceptualize and analyse ecological networks and their dynamics. Here, we focus on the dynamics of ecological networks in response to environmental changes. Specifically, we formalize how network topologies constrain the dynamics of ecological systems into a unifying framework in network ecology that we refer to as the 'ecological network dynamics framework'. This framework stresses that the interplay between species interaction networks and the spatial layout of habitat patches is key to identifying which network properties (number and weights of nodes and links) and trade-offs among them are needed to maintain species interactions in dynamic landscapes. We conclude that to be functional, ecological networks should be scaled according to species dispersal abilities in response to landscape heterogeneity. Determining how such effective ecological networks change through space and time can help reveal their complex dynamics in a changing world.
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Affiliation(s)
- Marie-Josée Fortin
- Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Mark R. T. Dale
- Ecosystem Science and Management, University of Northern British Columbia, Prince George, British Columbia, Canada
| | - Chris Brimacombe
- Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
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30
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Dallas TA, Jordano P. Species-area and network-area relationships in host-helminth interactions. Proc Biol Sci 2021; 288:20203143. [PMID: 33757356 DOI: 10.1098/rspb.2020.3143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The scaling relationship observed between species richness and the geographical area sampled (i.e. the species-area relationship (SAR)) is a widely recognized macroecological relationship. Recently, this theory has been extended to trophic interactions, suggesting that geographical area may influence the structure of species interaction networks (i.e. network-area relationships (NARs)). Here, we use a global dataset of host-helminth parasite interactions to test existing predictions from macroecological theory. Scaling between single locations to the global host-helminth network by sequentially adding networks together, we find support that geographical area influences species richness and the number of species interactions in host-helminth networks. However, species-area slopes were larger for host species relative to their helminth parasites, counter to theoretical predictions. Lastly, host-helminth network modularity-capturing the tendency of the network to form into separate subcommunities-decreased with increasing area, also counter to theoretical predictions. Reconciling this disconnect between existing theory and observed SAR and NAR will provide insight into the spatial structuring of ecological networks, and help to refine theory to highlight the effects of network type, species distributional overlap, and the specificity of trophic interactions on NARs.
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Affiliation(s)
- Tad A Dallas
- Department of Biological Science, Louisiana State University, Baton Rouge, LA, USA
| | - Pedro Jordano
- Integrative Ecology Group, Estación Biológica de Doñana (EBD-CSIC), Avda. Americo Vespucio, Isla de La Cartuja, 41092 Sevilla, Spain
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31
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Island Colonization and Environmental Sustainability in the Postglacial Mediterranean. SUSTAINABILITY 2021. [DOI: 10.3390/su13063383] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Island environments present challenges to human colonization, but we have a poor understanding of how environmental difference drives heterogeneous patterns of insular settlement. In this paper, we assess which environmental and geographic variables positively or negatively affect the long-term sustainability of human settlement on islands. Using the postglacial Mediterranean basin as a case study, we assess the impact of area, isolation index, species richness, and net primary productivity (NPP) on patterns of island occupation for both hunter-gatherer and agropastoral populations. We find that models involving area most effectively accounts for sustainability in hunter-gatherer island settlement. The agropastoral data are noisier, perhaps due to culturally specific factors responsible for the distribution of the data; nonetheless, we show that area and NPP exert profound influence over sustainability of agropastoral island settlement. We conclude by suggesting that this relates to the capacity of these variables to impact demographic robusticity directly.
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32
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Doré M, Fontaine C, Thébault E. Relative effects of anthropogenic pressures, climate, and sampling design on the structure of pollination networks at the global scale. GLOBAL CHANGE BIOLOGY 2021; 27:1266-1280. [PMID: 33274540 DOI: 10.1111/gcb.15474] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 10/10/2020] [Indexed: 06/12/2023]
Abstract
Pollinators provide crucial ecosystem services that underpin to wild plant reproduction and yields of insect-pollinated crops. Understanding the relative impacts of anthropogenic pressures and climate on the structure of plant-pollinator interaction networks is vital considering ongoing global change and pollinator decline. Our ability to predict the consequences of global change for pollinator assemblages worldwide requires global syntheses, but these analytical approaches may be hindered by variable methods among studies that either invalidate comparisons or mask biological phenomena. Here we conducted a synthetic analysis that assesses the relative impact of anthropogenic pressures and climatic variability, and accounts for heterogeneity in sampling methodology to reveal network responses at the global scale. We analyzed an extensive dataset, comprising 295 networks over 123 locations all over the world, and reporting over 50,000 interactions between flowering plant species and their insect visitors. Our study revealed that anthropogenic pressures correlate with an increase in generalism in pollination networks while pollinator richness and taxonomic composition are more related to climatic variables with an increase in dipteran pollinator richness associated with cooler temperatures. The contrasting response of species richness and generalism of the plant-pollinator networks stresses the importance of considering interaction network structure alongside diversity in ecological monitoring. In addition, differences in sampling design explained more variation than anthropogenic pressures or climate on both pollination networks richness and generalism, highlighting the crucial need to report and incorporate sampling design in macroecological comparative studies of pollination networks. As a whole, our study reveals a potential human impact on pollination networks at a global scale. However, further research is needed to evaluate potential consequences of loss of specialist species and their unique ecological interactions and evolutionary pathways on the ecosystem pollination function at a global scale.
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Affiliation(s)
- Maël Doré
- Institut de Systématique, Evolution, Biodiversité, MNHN-CNRS-Sorbonne Université-EPHE-Université des Antilles, Muséum national d'Histoire naturelle de Paris, Paris, France
- Centre d'Ecologie et des Sciences de la Conservation, UMR 7204 MNHN-CNRS-Sorbonne Université, Muséum national d'Histoire naturelle de Paris, Paris, France
- Sorbonne Université, CNRS, IRD, INRAE, Université Paris Est Créteil, Institute of Ecology and Environmental Sciences of Paris (iEES-Paris), Paris, France
| | - Colin Fontaine
- Centre d'Ecologie et des Sciences de la Conservation, UMR 7204 MNHN-CNRS-Sorbonne Université, Muséum national d'Histoire naturelle de Paris, Paris, France
| | - Elisa Thébault
- Sorbonne Université, CNRS, IRD, INRAE, Université Paris Est Créteil, Institute of Ecology and Environmental Sciences of Paris (iEES-Paris), Paris, France
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33
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Hui C, Richardson DM, Landi P, Minoarivelo HO, Roy HE, Latombe G, Jing X, CaraDonna PJ, Gravel D, Beckage B, Molofsky J. Trait positions for elevated invasiveness in adaptive ecological networks. Biol Invasions 2021. [DOI: 10.1007/s10530-021-02484-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
AbstractOur ability to predict the outcome of invasion declines rapidly as non-native species progress through intertwined ecological barriers to establish and spread in recipient ecosystems. This is largely due to the lack of systemic knowledge on key processes at play as species establish self-sustaining populations within the invaded range. To address this knowledge gap, we present a mathematical model that captures the eco-evolutionary dynamics of native and non-native species interacting within an ecological network. The model is derived from continuous-trait evolutionary game theory (i.e., Adaptive Dynamics) and its associated concept of invasion fitness which depicts dynamic demographic performance that is both trait mediated and density dependent. Our approach allows us to explore how multiple resident and non-native species coevolve to reshape invasion performance, or more precisely invasiveness, over trait space. The model clarifies the role of specific traits in enabling non-native species to occupy realised opportunistic niches. It also elucidates the direction and speed of both ecological and evolutionary dynamics of residing species (natives or non-natives) in the recipient network under different levels of propagule pressure. The versatility of the model is demonstrated using four examples that correspond to the invasion of (i) a horizontal competitive community; (ii) a bipartite mutualistic network; (iii) a bipartite antagonistic network; and (iv) a multi-trophic food web. We identified a cohesive trait strategy that enables the success and establishment of non-native species to possess high invasiveness. Specifically, we find that a non-native species can achieve high levels of invasiveness by possessing traits that overlap with those of its facilitators (and mutualists), which enhances the benefits accrued from positive interactions, and by possessing traits outside the range of those of antagonists, which mitigates the costs accrued from negative interactions. This ‘central-to-reap, edge-to-elude’ trait strategy therefore describes the strategic trait positions of non-native species to invade an ecological network. This model provides a theoretical platform for exploring invasion strategies in complex adaptive ecological networks.
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34
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Chaves CJN, Rossatto DR. Reducing tree density affects interactions between trees and atmospheric
Tillandsia
species (Bromeliaceae). AUSTRAL ECOL 2020. [DOI: 10.1111/aec.12970] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Cleber J. N. Chaves
- Programa de Pós‐graduação em Ecologia e Biodiversidade Instituto de Biociências Universidade Estadual Paulista (UNESP) Rio Claro13506‐900Brazil
- Instituto de Biologia Universidade Estadual de Campinas (UNICAMP) Rio ClaroBrazil
| | - Davi R. Rossatto
- Programa de Pós‐graduação em Ecologia e Biodiversidade Instituto de Biociências Universidade Estadual Paulista (UNESP) Rio Claro13506‐900Brazil
- Departamento de Biologia Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP) Jaboticabal Brazil
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35
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McCann KS, Cazelles K, MacDougall AS, Fussmann GF, Bieg C, Cristescu M, Fryxell JM, Gellner G, Lapointe B, Gonzalez A. Landscape modification and nutrient-driven instability at a distance. Ecol Lett 2020; 24:398-414. [PMID: 33222413 DOI: 10.1111/ele.13644] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/12/2020] [Accepted: 10/13/2020] [Indexed: 11/30/2022]
Abstract
Almost 50 years ago, Michael Rosenzweig pointed out that nutrient addition can destabilise food webs, leading to loss of species and reduced ecosystem function through the paradox of enrichment. Around the same time, David Tilman demonstrated that increased nutrient loading would also be expected to cause competitive exclusion leading to deleterious changes in food web diversity. While both concepts have greatly illuminated general diversity-stability theory, we currently lack a coherent framework to predict how nutrients influence food web stability across a landscape. This is a vitally important gap in our understanding, given mounting evidence of serious ecological disruption arising from anthropogenic displacement of resources and organisms. Here, we combine contemporary theory on food webs and meta-ecosystems to show that nutrient additions are indeed expected to drive loss in stability and function in human-impacted regions. Our models suggest that destabilisation is more likely to be caused by the complete loss of an equilibrium due to edible plant species being competitively excluded. In highly modified landscapes, spatial nutrient transport theory suggests that such instabilities can be amplified over vast distances from the sites of nutrient addition. Consistent with this theoretical synthesis, the empirical frequency of these distant propagating ecosystem imbalances appears to be growing. This synthesis of theory and empirical data suggests that human modification of the Earth is strongly connecting distantly separated ecosystems, causing rapid, expansive and costly nutrient-driven instabilities over vast areas of the planet. Similar to existing food web theory, the corollary to this spatial nutrient theory is that slowing down spatial nutrient pathways can be a potent means of stabilising degraded ecosystems.
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Affiliation(s)
- Kevin S McCann
- University of Guelph, 50 Stone Road, Guelph Ontario, N1G 2W1, Canada
| | - Kevin Cazelles
- University of Guelph, 50 Stone Road, Guelph Ontario, N1G 2W1, Canada.,McGill University, 1205 Dr-Penfield Ave, Montreal, Quebec, H3A 1B1, Canada
| | | | - Gregor F Fussmann
- McGill University, 1205 Dr-Penfield Ave, Montreal, Quebec, H3A 1B1, Canada
| | - Carling Bieg
- University of Guelph, 50 Stone Road, Guelph Ontario, N1G 2W1, Canada
| | - Melania Cristescu
- McGill University, 1205 Dr-Penfield Ave, Montreal, Quebec, H3A 1B1, Canada
| | - John M Fryxell
- University of Guelph, 50 Stone Road, Guelph Ontario, N1G 2W1, Canada
| | - Gabriel Gellner
- University of Guelph, 50 Stone Road, Guelph Ontario, N1G 2W1, Canada
| | - Brian Lapointe
- Harbor Branch Oceanographic Institute, Florida Atlantic University, Fort Pierce, FL, USA
| | - Andrew Gonzalez
- McGill University, 1205 Dr-Penfield Ave, Montreal, Quebec, H3A 1B1, Canada
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36
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Guimarães PR. The Structure of Ecological Networks Across Levels of Organization. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2020. [DOI: 10.1146/annurev-ecolsys-012220-120819] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Interactions connect the units of ecological systems, forming networks. Individual-based networks characterize variation in niches among individuals within populations. These individual-based networks merge with each other, forming species-based networks and food webs that describe the architecture of ecological communities. Networks at broader spatiotemporal scales portray the structure of ecological interactions across landscapes and over macroevolutionary time. Here, I review the patterns observed in ecological networks across multiple levels of biological organization. A fundamental challenge is to understand the amount of interdependence as we move from individual-based networks to species-based networks and beyond. Despite the uneven distribution of studies, regularities in network structure emerge across scales due to the fundamental architectural patterns shared by complex networks and the interplay between traits and numerical effects. I illustrate the integration of these organizational scales by exploring the consequences of the emergence of highly connected species for network structures across scales.
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Affiliation(s)
- Paulo R. Guimarães
- Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, 05508-090, Brazil
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37
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MacDonald AAM, Banville F, Poisot T. Revisiting the Links-Species Scaling Relationship in Food Webs. PATTERNS (NEW YORK, N.Y.) 2020; 1:100079. [PMID: 33205136 PMCID: PMC7660400 DOI: 10.1016/j.patter.2020.100079] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/07/2020] [Accepted: 07/03/2020] [Indexed: 10/26/2022]
Abstract
Predicting the number of interactions among species in a food web is an important task. These trophic interactions underlie many ecological and evolutionary processes, ranging from biomass fluxes, ecosystem stability, resilience to extinction, and resistance against novel species. We investigate and compare several ways to predict the number of interactions in food webs. We conclude that a simple beta-binomial model outperforms other models, with the added desirable property of respecting biological constraints. We show how this simple relationship gives rise to a predicted distribution of several quantities related to link number in food webs, including the scaling of network structure with space and the probability that a network will be stable.
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Affiliation(s)
- Arthur Andrew Meahan MacDonald
- Département de sciences biologiques, Université de Montréal, Montreal, QC H2V 0B3, Canada
- Quebec Centre for Biodiversity Science, Montreal, QC H3A 1B1, Canada
| | - Francis Banville
- Département de sciences biologiques, Université de Montréal, Montreal, QC H2V 0B3, Canada
- Quebec Centre for Biodiversity Science, Montreal, QC H3A 1B1, Canada
| | - Timothée Poisot
- Département de sciences biologiques, Université de Montréal, Montreal, QC H2V 0B3, Canada
- Quebec Centre for Biodiversity Science, Montreal, QC H3A 1B1, Canada
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38
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Thakur MP, Phillips HRP, Brose U, De Vries FT, Lavelle P, Loreau M, Mathieu J, Mulder C, Van der Putten WH, Rillig MC, Wardle DA, Bach EM, Bartz MLC, Bennett JM, Briones MJI, Brown G, Decaëns T, Eisenhauer N, Ferlian O, Guerra CA, König‐Ries B, Orgiazzi A, Ramirez KS, Russell DJ, Rutgers M, Wall DH, Cameron EK. Towards an integrative understanding of soil biodiversity. Biol Rev Camb Philos Soc 2020; 95:350-364. [PMID: 31729831 PMCID: PMC7078968 DOI: 10.1111/brv.12567] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 10/07/2019] [Accepted: 10/11/2019] [Indexed: 12/25/2022]
Abstract
Soil is one of the most biodiverse terrestrial habitats. Yet, we lack an integrative conceptual framework for understanding the patterns and mechanisms driving soil biodiversity. One of the underlying reasons for our poor understanding of soil biodiversity patterns relates to whether key biodiversity theories (historically developed for aboveground and aquatic organisms) are applicable to patterns of soil biodiversity. Here, we present a systematic literature review to investigate whether and how key biodiversity theories (species-energy relationship, theory of island biogeography, metacommunity theory, niche theory and neutral theory) can explain observed patterns of soil biodiversity. We then discuss two spatial compartments nested within soil at which biodiversity theories can be applied to acknowledge the scale-dependent nature of soil biodiversity.
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Affiliation(s)
- Madhav P. Thakur
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenGelderland, The Netherlands
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Leipzig UniversityLeipzigSaxony, Germany
| | - Helen R. P. Phillips
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biodiversity, Friedrich Schiller University JenaJenaThuringia, Germany
| | - Franciska T. De Vries
- School of Earth and Environmental Sciences, The University of ManchesterManchesterNorth West England, UK
| | | | - Michel Loreau
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier UniversityMoulisOccitanie, France
| | - Jerome Mathieu
- Sorbonne Université, CNRS, UPECParisÎle-de-France, France
| | - Christian Mulder
- Department BiologicalGeological and Environmental Sciences, University of CataniaCataniaSicily, Italy
| | - Wim H. Van der Putten
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenGelderland, The Netherlands
- Laboratory of NematologyWageningen UniversityWageningenGelderland, The Netherlands
| | - Matthias C. Rillig
- Freie Universität Berlin, Institute of BiologyBerlinGermany
- Berlin‐Brandenburg Institute of Advanced Biodiversity Research (BBIB)BerlinGermany
| | - David A. Wardle
- Asian School for the Environment, Nanyang Technological UniversitySingaporeSingapore
| | - Elizabeth M. Bach
- Department of Biology and School of Global Environmental SustainabilityColorado State UniversityFort CollinsCOUSA
| | - Marie L. C. Bartz
- Center of Functional Ecology, Department of Life SciencesUniversity of CoimbraCoimbraCentro, Portugal
- Universidade Positivo, Rua Professor Pedro Viriato Parigot de SouzaCuritiba Paraná, Brazil
| | - Joanne M. Bennett
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Martin Luther University Halle‐WittenbergHalle (Saale)Saxony-Anhalt, Germany
| | - Maria J. I. Briones
- Departamento de Ecología y Biología AnimalUniversidad de VigoVigoGalicien, Spain
| | | | - Thibaud Decaëns
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE UMR 5175, CNRS–Université de Montpellier–Université Paul‐Valéry Montpellier–EPHE)MontpellierOccitanie, France
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Leipzig UniversityLeipzigSaxony, Germany
| | - Olga Ferlian
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Leipzig UniversityLeipzigSaxony, Germany
| | - Carlos António Guerra
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Martin Luther University Halle‐WittenbergHalle (Saale)Saxony-Anhalt, Germany
| | - Birgitta König‐Ries
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Computer Science, Friedrich Schiller University JenaJenaThuringia, Germany
| | - Alberto Orgiazzi
- European Commission, Joint Research Centre (JRC), Sustainable Resources DirectorateIspraVareseItaly
| | - Kelly S. Ramirez
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenGelderland, The Netherlands
| | - David J. Russell
- Senckenberg Museum of Natural History GörlitzGoerlitzSaxony, Germany
| | - Michiel Rutgers
- National Institute for Public Health and the EnvironmentBilthovenUtrecht, The Netherlands
| | - Diana H. Wall
- Department of Biology and School of Global Environmental SustainabilityColorado State UniversityFort CollinsCOUSA
| | - Erin K. Cameron
- Faculty of Biological and Environmental SciencesUniversity of HelsinkiHelsinki, Uusimaa, Finland
- Department of Environmental ScienceSaint Mary's UniversityHalifaxNova ScotiaCanada
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39
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Gonzalez A, Germain RM, Srivastava DS, Filotas E, Dee LE, Gravel D, Thompson PL, Isbell F, Wang S, Kéfi S, Montoya J, Zelnik YR, Loreau M. Scaling-up biodiversity-ecosystem functioning research. Ecol Lett 2020; 23:757-776. [PMID: 31997566 PMCID: PMC7497049 DOI: 10.1111/ele.13456] [Citation(s) in RCA: 129] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/18/2019] [Accepted: 12/14/2019] [Indexed: 12/27/2022]
Abstract
A rich body of knowledge links biodiversity to ecosystem functioning (BEF), but it is primarily focused on small scales. We review the current theory and identify six expectations for scale dependence in the BEF relationship: (1) a nonlinear change in the slope of the BEF relationship with spatial scale; (2) a scale‐dependent relationship between ecosystem stability and spatial extent; (3) coexistence within and among sites will result in a positive BEF relationship at larger scales; (4) temporal autocorrelation in environmental variability affects species turnover and thus the change in BEF slope with scale; (5) connectivity in metacommunities generates nonlinear BEF and stability relationships by affecting population synchrony at local and regional scales; (6) spatial scaling in food web structure and diversity will generate scale dependence in ecosystem functioning. We suggest directions for synthesis that combine approaches in metaecosystem and metacommunity ecology and integrate cross‐scale feedbacks. Tests of this theory may combine remote sensing with a generation of networked experiments that assess effects at multiple scales. We also show how anthropogenic land cover change may alter the scaling of the BEF relationship. New research on the role of scale in BEF will guide policy linking the goals of managing biodiversity and ecosystems.
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Affiliation(s)
- Andrew Gonzalez
- Department of Biology, McGill University, 1205 Dr. Penfield Avenue, Montreal, H3A 1B1, Canada
| | - Rachel M Germain
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Diane S Srivastava
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Elise Filotas
- Center for Forest Research, Département Science et Technologie, Université du Québec, 5800 Saint-Denis, Téluq, Montreal, H2S 3L5, Canada
| | - Laura E Dee
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, 80309, USA
| | - Dominique Gravel
- Département de biologie, Université de Sherbrooke, 2500 Boulevard de l'Université, Sherbrooke, J1K 2R1, Canada
| | - Patrick L Thompson
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Forest Isbell
- Department of Ecology, Evolution, and Behavior, University of Minnesota, 1479 Gortner Avenue, St. Paul, MN, 55108, USA
| | - Shaopeng Wang
- Institute of Ecology, College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, 100871, Beijing, China
| | - Sonia Kéfi
- ISEM, CNRS, Univ. Montpellier, IRD, EPHE, Montpellier, France
| | - Jose Montoya
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200, Moulis, France
| | - Yuval R Zelnik
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200, Moulis, France
| | - Michel Loreau
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200, Moulis, France
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Emer C, Jordano P, Pizo MA, Ribeiro MC, Silva FR, Galetti M. Seed dispersal networks in tropical forest fragments: Area effects, remnant species, and interaction diversity. Biotropica 2019. [DOI: 10.1111/btp.12738] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Carine Emer
- Departamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP) Rio Claro Brazil
| | - Pedro Jordano
- Integrative Ecology Group Estación Biológica de Doñana (EBD‐CSIC) Consejo Superior de Investigaciones Científicas Sevilla Spain
| | - Marco A. Pizo
- Departamento de Zoologia Universidade Estadual Paulista (UNESP) Rio Claro Brazil
| | - Milton C. Ribeiro
- Departamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP) Rio Claro Brazil
| | - Fernanda R. Silva
- Instituto de Biologia Universidade de Campinas (UNICAMP) Campinas Brazil
| | - Mauro Galetti
- Departamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP) Rio Claro Brazil
- Department of Biology University of Miami Coral Gables FL USA
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41
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Pichler M, Boreux V, Klein A, Schleuning M, Hartig F. Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks. Methods Ecol Evol 2019. [DOI: 10.1111/2041-210x.13329] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
| | - Virginie Boreux
- Nature Conservation and Landscape Ecology University of Freiburg Freiburg Germany
| | | | - Matthias Schleuning
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Frankfurt (Main) Germany
| | - Florian Hartig
- Theoretical Ecology University of Regensburg Regensburg Germany
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42
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Eisenhauer N, Schielzeth H, Barnes AD, Barry K, Bonn A, Brose U, Bruelheide H, Buchmann N, Buscot F, Ebeling A, Ferlian O, Freschet GT, Giling DP, Hättenschwiler S, Hillebrand H, Hines J, Isbell F, Koller-France E, König-Ries B, de Kroon H, Meyer ST, Milcu A, Müller J, Nock CA, Petermann JS, Roscher C, Scherber C, Scherer-Lorenzen M, Schmid B, Schnitzer SA, Schuldt A, Tscharntke T, Türke M, van Dam NM, van der Plas F, Vogel A, Wagg C, Wardle DA, Weigelt A, Weisser WW, Wirth C, Jochum M. A multitrophic perspective on biodiversity-ecosystem functioning research. ADV ECOL RES 2019; 61:1-54. [PMID: 31908360 PMCID: PMC6944504 DOI: 10.1016/bs.aecr.2019.06.001] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Concern about the functional consequences of unprecedented loss in biodiversity has prompted biodiversity-ecosystem functioning (BEF) research to become one of the most active fields of ecological research in the past 25 years. Hundreds of experiments have manipulated biodiversity as an independent variable and found compelling support that the functioning of ecosystems increases with the diversity of their ecological communities. This research has also identified some of the mechanisms underlying BEF relationships, some context-dependencies of the strength of relationships, as well as implications for various ecosystem services that mankind depends upon. In this paper, we argue that a multitrophic perspective of biotic interactions in random and non-random biodiversity change scenarios is key to advance future BEF research and to address some of its most important remaining challenges. We discuss that the study and the quantification of multitrophic interactions in space and time facilitates scaling up from small-scale biodiversity manipulations and ecosystem function assessments to management-relevant spatial scales across ecosystem boundaries. We specifically consider multitrophic conceptual frameworks to understand and predict the context-dependency of BEF relationships. Moreover, we highlight the importance of the eco-evolutionary underpinnings of multitrophic BEF relationships. We outline that FAIR data (meeting the standards of findability, accessibility, interoperability, and reusability) and reproducible processing will be key to advance this field of research by making it more integrative. Finally, we show how these BEF insights may be implemented for ecosystem management, society, and policy. Given that human well-being critically depends on the multiple services provided by diverse, multitrophic communities, integrating the approaches of evolutionary ecology, community ecology, and ecosystem ecology in future BEF research will be key to refine conservation targets and develop sustainable management strategies.
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Affiliation(s)
- Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Holger Schielzeth
- Department of Population Ecology, Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany
| | - Andrew D Barnes
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Kathryn Barry
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Johannisallee 21-23, 04103 Leipzig, Germany
| | - Aletta Bonn
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- EcoNetLab, Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger-Str. 159, 07743 Jena, Germany
| | - Helge Bruelheide
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology / Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108 Halle (Saale), Germany
| | - Nina Buchmann
- Institute of Agricultural Sciences, ETH Zurich, Universitätstr. 2, 8092 Zurich, Switzerland
| | - François Buscot
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- UFZ - Helmholtz Centre for Environmental Research, Soil Ecology Department, Theodor-Lieser-Straße 4, 06120 Halle Saale, Germany
| | - Anne Ebeling
- Institute of Ecology and Evolution, Friedrich Schiller University Jena, Dornburger Str. 159, 07743 Jena, Germany
| | - Olga Ferlian
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Grégoire T Freschet
- Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 (CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE), 1919 Route de Mende, Montpellier 34293, France
| | - Darren P Giling
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Ecology and Evolution, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
| | - Stephan Hättenschwiler
- Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 (CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE), 1919 Route de Mende, Montpellier 34293, France
| | - Helmut Hillebrand
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute for Chemistry and Biology of Marine Environments [ICBM], Carl-von-Ossietzky University Oldenburg, Schleusenstrasse 1, 26382 Wilhelmshaven, Germany
| | - Jes Hines
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Forest Isbell
- Department of Ecology, Evolution and Behavior, University of Minnesota, 1479 Gortner Avenue, St. Paul, MN 55108, USA
| | - Eva Koller-France
- Karlsruher Institut für Technologie (KIT), Institut für Geographie und Geoökologie, Reinhard-Baumeister-Platz 1, 76131 Karlsruhe, Germany
| | - Birgitta König-Ries
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Computer Science, Friedrich Schiller Universität Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
| | - Hans de Kroon
- Radboud University, Institute for Water and Wetland Research, Animal Ecology and Physiology & Experimental Plant Ecology, PO Box 9100, 6500 GL Nijmegen, The Netherlands
| | - Sebastian T Meyer
- Terrestrial Ecology Research Group, Technical University of Munich, School of Life Sciences Weihenstephan, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
| | - Alexandru Milcu
- Ecotron Européen de Montpellier, Centre National de la Recherche Scientifique (CNRS), Unité Propre de Service 3248, Campus Baillarguet, Montferrier-sur-Lez, France
- Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 (CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE), 1919 Route de Mende, Montpellier 34293, France
| | - Jörg Müller
- Field Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Glashüttenstraße 5, 96181 Rauhenebrach, Germany
- Bavarian Forest National Park, Freyunger Str. 2, 94481 Grafenau, Germany
| | - Charles A Nock
- Geobotany, Faculty of Biology, University of Freiburg, Schaenzlestrasse 1, 79104 Freiburg, Germany
- Department of Renewable Resources, University of Alberta, 751 General Services Building, Edmonton, Canada, T6G 2H1
| | - Jana S Petermann
- Department of Biosciences, University of Salzburg, Hellbrunner Str. 34, 5020 Salzburg, Austria
| | - Christiane Roscher
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- UFZ - Helmholtz Centre for Environmental Research, Department Physiological Diversity, Permoserstrasse 15, 04318 Leipzig, Germany
| | - Christoph Scherber
- Institute of Landscape Ecology, University of Münster, Heisenbergstr. 2, 48149 Münster, Germany
| | - Michael Scherer-Lorenzen
- Geobotany, Faculty of Biology, University of Freiburg, Schaenzlestrasse 1, 79104 Freiburg, Germany
| | - Bernhard Schmid
- Department of Geography, University of Zürich, 190 Winterthurerstrasse, 8057, Zürich, Switzerland
| | | | - Andreas Schuldt
- Forest Nature Conservation, Faculty of Forest Sciences and Forest Ecology, University of Göttingen, Buesgenweg 3, 37077 Goettingen, Germany
| | - Teja Tscharntke
- Agroecology, Dept. of Crop Sciences, University of Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen, Germany
| | - Manfred Türke
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München (HMGU) - German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Nicole M van Dam
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger-Str. 159, 07743 Jena, Germany
| | - Fons van der Plas
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
| | - Anja Vogel
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Ecology and Evolution, Friedrich Schiller University Jena, Dornburger Straße 159, 07743 Jena, Germany
| | - Cameron Wagg
- Fredericton Research and Development Centre, Agriculture and Agri-Food Canada, 850 Lincoln Road, E3B 8B7, Fredericton, Canada
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, 190 Winterthurerstrasse, 8057, Zürich, Switzerland
| | - David A Wardle
- Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Alexandra Weigelt
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Johannisallee 21-23, 04103 Leipzig, Germany
| | - Wolfgang W Weisser
- Terrestrial Ecology Research Group, Technical University of Munich, School of Life Sciences Weihenstephan, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
| | - Christian Wirth
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Johannisallee 21-23, 04103 Leipzig, Germany
| | - Malte Jochum
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany
- Institute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland
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43
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Hackett TD, Sauve AMC, Davies N, Montoya D, Tylianakis JM, Memmott J. Reshaping our understanding of species' roles in landscape-scale networks. Ecol Lett 2019; 22:1367-1377. [PMID: 31207056 DOI: 10.1111/ele.13292] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 11/15/2018] [Accepted: 05/03/2019] [Indexed: 01/13/2023]
Abstract
In network ecology, landscape-scale processes are often overlooked, yet there is increasing evidence that species and interactions spill over between habitats, calling for further study of interhabitat dependencies. Here, we investigate how species connect a mosaic of habitats based on the spatial variation of their mutualistic and antagonistic interactions using two multilayer networks, combining pollination, herbivory and parasitism in the UK and New Zealand. Developing novel methods of network analysis for landscape-scale ecological networks, we discovered that few plant and pollinator species acted as connectors or hubs, both within and among habitats, whereas herbivores and parasitoids typically have more peripheral network roles. Insect species' roles depend on factors other than just the abundance of taxa in the lower trophic level, exemplified by larger Hymenoptera connecting networks of different habitats and insects relying on different resources across different habitats. Our findings provide a broader perspective for landscape-scale management and ecological community conservation.
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Affiliation(s)
- Talya D Hackett
- Life Sciences Building, University of Bristol, Bristol, BS81TQ, UK.,Department of Zoology, University of Oxford, Oxford, OX1 3PS, UK
| | - Alix M C Sauve
- Life Sciences Building, University of Bristol, Bristol, BS81TQ, UK.,Department of Computer Science, University of Bristol, Bristol, BS8 1UB, UK.,Integrative and Theoretical Ecology Group, LabEx COTE, University of Bordeaux, 33615, Pessac, France
| | - Nancy Davies
- Life Sciences Building, University of Bristol, Bristol, BS81TQ, UK
| | - Daniel Montoya
- Life Sciences Building, University of Bristol, Bristol, BS81TQ, UK.,Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200, Moulis, France
| | - Jason M Tylianakis
- Bioprotection Centre and Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private bag 4800, Christchurch, New Zealand
| | - Jane Memmott
- Life Sciences Building, University of Bristol, Bristol, BS81TQ, UK
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44
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Galiana N, Hawkins BA, Montoya JM. The geographical variation of network structure is scale dependent: understanding the biotic specialization of host-parasitoid networks. ECOGRAPHY 2019; 42:1175-1187. [PMID: 31857742 PMCID: PMC6923145 DOI: 10.1111/ecog.03684] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Research on the structure of ecological networks suggests that a number of universal patterns exist. Historically, biotic specialization has been thought to increase towards the Equator. Yet, recent studies have challenged this view showing non-conclusive results. Most studies analysing the geographical variation in biotic specialization focus, however, only on the local scale. Little is known about how the geographical variation of network structure depends on the spatial scale of observation (i.e., from local to regional spatial scales). This should be remedied, as network structure changes as the spatial scale of observation changes, and the magnitude and shape of these changes can elucidate the mechanisms behind the geographical variation in biotic specialization. Here we analyse four facets of biotic specialization in host-parasitoid networks along gradients of climatic constancy, classifying the networks according to their spatial extension (local or regional). Namely, we analyse network connectance, consumer diet overlap, consumer diet breadth, and resource vulnerability at both local and regional scales along the gradients of both current climatic constancy and historical climatic change. While at the regional scale none of the climatic variables are associated to biotic specialization, at the local scale, network connectance, consumer diet overlap, and resource vulnerability decrease with current climatic constancy, whereas consumer generalism increases (i.e., broader diet breadths in tropical areas). Similar patterns are observed along the gradient of historical climatic change. We provide an explanation based on different beta-diversity for consumers and resources across the geographical gradients. Our results show that the geographical gradient of biotic specialization is not universal. It depends on both the facet of biotic specialization and the spatial scale of observation.
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Affiliation(s)
- Núria Galiana
- Ecological Networks and Global Change Group, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier University, Moulis, France
| | - Bradford A. Hawkins
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697 USA
| | - José M. Montoya
- Ecological Networks and Global Change Group, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier University, Moulis, France
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45
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Zelnik YR, Arnoldi J, Loreau M. The three regimes of spatial recovery. Ecology 2019; 100:e02586. [PMID: 30556129 PMCID: PMC6375383 DOI: 10.1002/ecy.2586] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 11/08/2018] [Accepted: 11/08/2018] [Indexed: 01/25/2023]
Abstract
An enduring challenge for ecology is identifying the drivers of ecosystem and population stability. In a spatially explicit context, key features to consider are landscape spatial structure, local interactions, and dispersal. Substantial work has been done on each of these features as a driver of stability, but little is known on the interplay between them. Missing has been a more integrative approach, able to map and identify different dynamical regimes, predicting a system's response to perturbations. Here we first consider a simple scenario, i.e., the recovery of a homogeneous metapopulation from a single localized pulse disturbance. The analysis of this scenario reveals three fundamental recovery regimes: Isolated Regime when dispersal is not significant, Rescue Regime when dispersal mediates recovery, and Mixing Regime when perturbations spread throughout the system. Despite its simplicity, our approach leads to remarkably general predictions. These include the qualitatively different outcomes of various scenarios of habitat fragmentation, the surprising benefits of local extinctions on population persistence at the transition between regimes, and the productivity shifts of metacommunities in a changing environment. This study thus provides context to known results and insight into future directions of research.
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Affiliation(s)
- Yuval R. Zelnik
- Centre for Biodiversity Theory and ModellingTheoretical and Experimental Ecology StationCNRS and Paul Sabatier University09200MoulisFrance
| | | | - Michel Loreau
- Centre for Biodiversity Theory and ModellingTheoretical and Experimental Ecology StationCNRS and Paul Sabatier University09200MoulisFrance
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46
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McGarvey DJ, Veech JA. Modular structure in fish co-occurrence networks: A comparison across spatial scales and grouping methodologies. PLoS One 2018; 13:e0208720. [PMID: 30550572 PMCID: PMC6294383 DOI: 10.1371/journal.pone.0208720] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 11/22/2018] [Indexed: 11/19/2022] Open
Abstract
Network modules are used for diverse purposes, ranging from delineation of biogeographical provinces to the study of biotic interactions. We assess spatial scaling effects on modular structure, using a multi-step process to compare fish co-occurrence networks at three nested scales. We first detect modules with simulated annealing and use spatial clustering tests (interspecific distances among species' range centroids) to determine if modules consist of species with broadly overlapping ranges; strong spatial clustering may reflect environmental filtering, while absence of spatial clustering may reflect positive interspecific relationships (commensalism or mutualism). We then use non-hierarchical, multivariate cluster analysis as an alternative method to identify fish subgroups, we repeat spatial clustering tests for the multivariate clusters, then compare spatial clustering results among modules and clusters. Next, we compare species lists within modules and clusters, and estimate congruence as the proportion of species assigned to the same groups by the two methods. Finally, we use a well-documented nest associate complex (fishes that deposit eggs in the gravel nests of a common host) to assess whether strong within-group associations may, in fact, reflect positive interspecific relationships. At each scale, 2-4 network modules were detected but a consistent relationship between scale and the number of modules was not observed. Significant spatial clustering was detected at all scales for network modules and multivariate clusters but was less prevalent at smaller scales. Congruence between modules and clusters was always < 90% and generally decreased as the number of groups increased. At all scales, the complete nest associate complex was completely preserved within a single network module, but not within a single multivariate cluster. Collectively, our results suggest that network modules are promising tools for studying positive interactions and that smaller scales may be preferable in this research.
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Affiliation(s)
- Daniel J. McGarvey
- Center for Environmental Studies, Virginia Commonwealth University, Richmond, Virginia, United States of America
- * E-mail:
| | - Joseph A. Veech
- Department of Biology, Texas State University, San Marcos, Texas, United States of America
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47
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Zinger L, Taberlet P, Schimann H, Bonin A, Boyer F, De Barba M, Gaucher P, Gielly L, Giguet‐Covex C, Iribar A, Réjou‐Méchain M, Rayé G, Rioux D, Schilling V, Tymen B, Viers J, Zouiten C, Thuiller W, Coissac E, Chave J. Body size determines soil community assembly in a tropical forest. Mol Ecol 2018; 28:528-543. [DOI: 10.1111/mec.14919] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 10/02/2018] [Accepted: 10/14/2018] [Indexed: 01/02/2023]
Affiliation(s)
- Lucie Zinger
- CNRS, IRDUMR 5174 Evolution et Diversité Biologique (EDB)Université Toulouse 3 Paul Sabatier Toulouse France
| | - Pierre Taberlet
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Heidy Schimann
- UMR Ecologie des Forets de Guyane (AgroParisTech, CIRAD, CNRS, Université des Antilles, Université de la Guyane)INRA Kourou France
| | - Aurélie Bonin
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Frédéric Boyer
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Marta De Barba
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Philippe Gaucher
- USR 3456CNRSCentre de recherche de Montabo IRDCNRS‐Guyane Cayenne France
| | - Ludovic Gielly
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | | | - Amaia Iribar
- CNRS, IRDUMR 5174 Evolution et Diversité Biologique (EDB)Université Toulouse 3 Paul Sabatier Toulouse France
| | - Maxime Réjou‐Méchain
- CNRS, IRDUMR 5174 Evolution et Diversité Biologique (EDB)Université Toulouse 3 Paul Sabatier Toulouse France
- UMR AMAP, IRD Montpellier France
| | - Gilles Rayé
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Delphine Rioux
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Vincent Schilling
- CNRS, IRDUMR 5174 Evolution et Diversité Biologique (EDB)Université Toulouse 3 Paul Sabatier Toulouse France
| | - Blaise Tymen
- CNRS, IRDUMR 5174 Evolution et Diversité Biologique (EDB)Université Toulouse 3 Paul Sabatier Toulouse France
| | - Jérôme Viers
- CNRS, IRDUMR 5563 GETUniversité Toulouse 3 Paul Sabatier Toulouse France
| | - Cyril Zouiten
- CNRS, IRDUMR 5563 GETUniversité Toulouse 3 Paul Sabatier Toulouse France
| | - Wilfried Thuiller
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Eric Coissac
- CNRSLaboratoire d'Ecologie Alpine (LECA)Univ. Grenoble Alpes Grenoble France
| | - Jérôme Chave
- CNRS, IRDUMR 5174 Evolution et Diversité Biologique (EDB)Université Toulouse 3 Paul Sabatier Toulouse France
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48
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Guzman LM, Germain RM, Forbes C, Straus S, O'Connor MI, Gravel D, Srivastava DS, Thompson PL. Towards a multi-trophic extension of metacommunity ecology. Ecol Lett 2018; 22:19-33. [PMID: 30370702 DOI: 10.1111/ele.13162] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 07/10/2018] [Accepted: 08/27/2018] [Indexed: 12/24/2022]
Abstract
Metacommunity theory provides an understanding of how spatial processes determine the structure and function of communities at local and regional scales. Although metacommunity theory has considered trophic dynamics in the past, it has been performed idiosyncratically with a wide selection of possible dynamics. Trophic metacommunity theory needs a synthesis of a few influential axis to simplify future predictions and tests. We propose an extension of metacommunity ecology that addresses these shortcomings by incorporating variability among trophic levels in 'spatial use properties'. We define 'spatial use properties' as a set of traits (dispersal, migration, foraging and spatial information processing) that set the spatial and temporal scales of organismal movement, and thus scales of interspecific interactions. Progress towards a synthetic predictive framework can be made by (1) documenting patterns of spatial use properties in natural food webs and (2) using theory and experiments to test how trophic structure in spatial use properties affects metacommunity dynamics.
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Affiliation(s)
- Laura Melissa Guzman
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel M Germain
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
| | - Coreen Forbes
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Samantha Straus
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mary I O'Connor
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Dominique Gravel
- Département de biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Diane S Srivastava
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrick L Thompson
- Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
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49
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Ramirez KS, Geisen S, Morriën E, Snoek BL, van der Putten WH. Network Analyses Can Advance Above-Belowground Ecology. TRENDS IN PLANT SCIENCE 2018; 23:759-768. [PMID: 30072227 DOI: 10.1016/j.tplants.2018.06.009] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 06/05/2018] [Accepted: 06/17/2018] [Indexed: 06/08/2023]
Abstract
An understanding of above-belowground (AG-BG) ecology is important for evaluating how plant interactions with enemies, symbionts, and decomposers affect species diversity and will respond to global changes. However, research questions and experiments often focus on only a limited number of interactions, creating an incomplete picture of how entire communities may be involved in AG-BG community ecology. Therefore, a pressing challenge is to formulate hypotheses of AG-BG interactions when considering communities in their full complexity. Here we discuss how network analyses can be a powerful tool to progress AG-BG research, link across scales from individual to community and ecosystem, visualize community interactions between the two (AG and BG) subsystems, and develop testable hypotheses.
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Affiliation(s)
- Kelly S Ramirez
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, 6700 AB, Wageningen, The Netherlands.
| | - Stefan Geisen
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, 6700 AB, Wageningen, The Netherlands; Laboratory of Nematology, Wageningen University, P.O. Box 8123, 6700 ES, Wageningen, The Netherlands
| | - Elly Morriën
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, 6700 AB, Wageningen, The Netherlands; Institute of Biodiversity and Ecosystem Dynamics, Department of Ecosystem and Landscape Dynamics (IBED-ELD), University of Amsterdam, P.O. Box 94248, 1090 GE Amsterdam, The Netherlands
| | - Basten L Snoek
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, 6700 AB, Wageningen, The Netherlands; Laboratory of Nematology, Wageningen University, P.O. Box 8123, 6700 ES, Wageningen, The Netherlands; Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Wim H van der Putten
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), P.O. Box 50, 6700 AB, Wageningen, The Netherlands; Laboratory of Nematology, Wageningen University, P.O. Box 8123, 6700 ES, Wageningen, The Netherlands
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