1
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Pichon B, Gounand I, Donnet S, Kéfi S. The interplay of facilitation and competition drives the emergence of multistability in dryland plant communities. Ecology 2024; 105:e4369. [PMID: 38955486 DOI: 10.1002/ecy.4369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 04/10/2024] [Accepted: 05/17/2024] [Indexed: 07/04/2024]
Abstract
Within communities, species are wrapped in a set of feedbacks with each other and with their environment. When such feedbacks are strong enough they can generate alternative stable states. So far, research on alternative stable states has mostly focused on systems with a small number of species and a limited diversity of interaction types. Here, we analyze a spatial model of plant community dynamics in stressed ecosystems such as drylands, where each species is characterized by a strategy, and the different species interact through facilitation and competition for space and resources, such as water. We identify three different types of multistability emerging from the interplay of competition and facilitation. Under low-stress levels, plant communities organize in small groups of coexisting species, maintained by space, competition and facilitation ("cliques"). Under higher stress levels, positive feedback from facilitation lead to the dominance of a single facilitating species ("mutual exclusion states"). At the highest stress levels, the single facilitating species left in the system coexists with the desert state. By linking community ecology and alternative stable states theory using a spatial plant community model for stressed ecosystems, our study contributes to highlight the importance of positive feedback loops for the stability of ecological communities.
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Affiliation(s)
- Benoît Pichon
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Isabelle Gounand
- Sorbonne Université, CNRS, UPEC, IRD, INRA, Institut d'écologie et des sciences de l'environnement, iEES, Paris, France
| | - Sophie Donnet
- UMR MIA-Paris, AgroParisTech, INRA, Université Paris-Saclay, Paris, France
| | - Sonia Kéfi
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
- Santa Fe Institute, Santa Fe, New Mexico, USA
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2
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Dopson M, Emary C. The persistence of bipartite ecological communities with Lotka-Volterra dynamics. J Math Biol 2024; 89:24. [PMID: 38955850 PMCID: PMC11219392 DOI: 10.1007/s00285-024-02120-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 06/05/2024] [Accepted: 06/13/2024] [Indexed: 07/04/2024]
Abstract
The assembly and persistence of ecological communities can be understood as the result of the interaction and migration of species. Here we study a single community subject to migration from a species pool in which inter-specific interactions are organised according to a bipartite network. Considering the dynamics of species abundances to be governed by generalised Lotka-Volterra equations, we extend work on unipartite networks to we derive exact results for the phase diagram of this model. Focusing on antagonistic interactions, we describe factors that influence the persistence of the two guilds, locate transitions to multiple-attractor and unbounded phases, as well as identifying a region of parameter space in which consumers are essentially absent in the local community.
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Affiliation(s)
- Matt Dopson
- School of Mathematics, Statistics and Physics, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK.
| | - Clive Emary
- School of Mathematics, Statistics and Physics, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK
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3
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Aguadé-Gorgorió G, Arnoldi JF, Barbier M, Kéfi S. A taxonomy of multiple stable states in complex ecological communities. Ecol Lett 2024; 27:e14413. [PMID: 38584579 DOI: 10.1111/ele.14413] [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: 10/23/2023] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 04/09/2024]
Abstract
Natural systems are built from multiple interconnected units, making their dynamics, functioning and fragility notoriously hard to predict. A fragility scenario of particular relevance concerns so-called regime shifts: abrupt transitions from healthy to degraded ecosystem states. An explanation for these shifts is that they arise as transitions between alternative stable states, a process that is well-understood in few-species models. However, how multistability upscales with system complexity remains a debated question. Here, we identify that four different multistability regimes generically emerge in models of species-rich communities and other archetypical complex biological systems assuming random interactions. Across the studied models, each regime consistently emerges under a specific interaction scheme and leaves a distinct set of fingerprints in terms of the number of observed states, their species richness and their response to perturbations. Our results help clarify the conditions and types of multistability that can be expected to occur in complex ecological communities.
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Affiliation(s)
| | - Jean-François Arnoldi
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier University, Moulis, France
| | - Matthieu Barbier
- PHIM Plant Health Institute, University of Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Sonia Kéfi
- ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France
- France Santa Fe Institute, Santa Fe, New Mexico, USA
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4
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Mintrone C, Rindi L, Benedetti-Cecchi L. Stabilizing effects of spatially heterogeneous disturbance via reduced spatial synchrony on a rocky shore community. Ecology 2024; 105:e4246. [PMID: 38286517 DOI: 10.1002/ecy.4246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/24/2023] [Accepted: 12/05/2023] [Indexed: 01/31/2024]
Abstract
Understanding how synchronous species fluctuations affect community stability is a main research topic in ecology. Yet experimental studies evaluating how changes in disturbance regimes affect the synchrony and stability of populations and communities remain rare. We hypothesized that spatially heterogeneous disturbances of moderate intensity would promote metacommunity stability by decreasing the spatial synchrony of species fluctuations. To test this hypothesis, we exposed rocky shore communities of algae and invertebrates to homogeneous and gradient-like spatial patterns of disturbance at two levels of intensity for 4 years and used synchrony networks to characterize community responses to these disturbances. The gradient-like disturbance at low intensity enhanced spatial β diversity compared to the other treatments and produced the most heterogeneous and least synchronized network, which was also the most stable in terms of population and community fluctuations. In contrast, homogeneous disturbance destabilized the community, enhancing spatial synchronization. Intense disturbances always reduced spatial β diversity, indicating that strong perturbations could destabilize communities via biotic homogenization regardless of their spatial structure. Our findings corroborated theoretical predictions, emphasizing the importance of spatially heterogeneous disturbances in promoting stability by amplifying asynchronous spatial and temporal fluctuations in population and community abundance. In contrast to other networks, synchrony networks are vulnerable to the removal of most peripheral nodes, which are less synchronized, but may contribute more to stability than other nodes by dampening large fluctuations in species abundance. Our findings suggest that climate change and direct anthropogenic disturbance can compromise the stability of ecological communities through combined effects on diversity and synchrony, as well as further affecting ecosystems through habitat loss.
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Affiliation(s)
- Caterina Mintrone
- Department of Biology, University of Pisa, Pisa, Italy
- CoNISMa, Rome, Italy
| | - Luca Rindi
- Department of Biology, University of Pisa, Pisa, Italy
- CoNISMa, Rome, Italy
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5
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Botella C, Gaüzère P, O'Connor L, Ohlmann M, Renaud J, Dou Y, Graham CH, Verburg PH, Maiorano L, Thuiller W. Land-use intensity influences European tetrapod food webs. GLOBAL CHANGE BIOLOGY 2024; 30:e17167. [PMID: 38348640 DOI: 10.1111/gcb.17167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/29/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024]
Abstract
Land use intensification favours particular trophic groups which can induce architectural changes in food webs. These changes can impact ecosystem functions, services, stability and resilience. However, the imprint of land management intensity on food-web architecture has rarely been characterized across large spatial extent and various land uses. We investigated the influence of land management intensity on six facets of food-web architecture, namely apex and basal species proportions, connectance, omnivory, trophic chain lengths and compartmentalization, for 67,051 European terrestrial vertebrate communities. We also assessed the dependency of this influence of intensification on land use and climate. In addition to more commonly considered climatic factors, the architecture of food webs was notably influenced by land use and management intensity. Intensification tended to strongly lower the proportion of apex predators consistently across contexts. In general, intensification also tended to lower proportions of basal species, favoured mesopredators, decreased food webs compartmentalization whereas it increased their connectance. However, the response of food webs to intensification was different for some contexts. Intensification sharply decreased connectance in Mediterranean and Alpine settlements, and it increased basal tetrapod proportions and compartmentalization in Mediterranean forest and Atlantic croplands. Besides, intensive urbanization especially favoured longer trophic chains and lower omnivory. By favouring mesopredators in most contexts, intensification could undermine basal tetrapods, the cascading effects of which need to be assessed. Our results support the importance of protecting top predators where possible and raise questions about the long-term stability of food webs in the face of human-induced pressures.
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Affiliation(s)
- Christophe Botella
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - Pierre Gaüzère
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Louise O'Connor
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Marc Ohlmann
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Julien Renaud
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Yue Dou
- Department of Natural Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands
- Institute for Environmental Studies, VU University Amsterdam, The Netherlands
| | | | - Peter H Verburg
- Institute for Environmental Studies, VU University Amsterdam, The Netherlands
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Luigi Maiorano
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Roma, Italy
| | - Wilfried Thuiller
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
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6
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Domínguez-García V, Kéfi S. The structure and robustness of ecological networks with two interaction types. PLoS Comput Biol 2024; 20:e1011770. [PMID: 38241353 PMCID: PMC10830016 DOI: 10.1371/journal.pcbi.1011770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 01/31/2024] [Accepted: 12/18/2023] [Indexed: 01/21/2024] Open
Abstract
Until recently, most ecological network analyses investigating the effects of species' declines and extinctions have focused on a single type of interaction (e.g. feeding). In nature, however, diverse interactions co-occur, each of them forming a layer of a 'multilayer' network. Data including information on multiple interaction types has recently started to emerge, giving us the opportunity to have a first glance at possible commonalities in the structure of these networks. We studied the structural features of 44 tripartite ecological networks from the literature, each composed of two layers of interactions (e.g. herbivory and pollination), and investigated their robustness to species losses. Considering two interactions simultaneously, we found that the robustness of the whole community is a combination of the robustness of the two ecological networks composing it. The way in which the layers of interactions are connected to each other affects the interdependence of their robustness. In many networks, this interdependence is low, suggesting that restoration efforts would not automatically propagate through the whole community. Our results highlight the importance of considering multiple interactions simultaneously to better gauge the robustness of ecological communities to species loss and to more reliably identify key species that are important for the persistence of ecological communities.
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Affiliation(s)
- Virginia Domínguez-García
- ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France
- Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Sonia Kéfi
- ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France
- Santa Fe Institute, Santa Fe, New Mexico, United States of America
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7
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Encinas-Viso F, Bovill J, Albrecht DE, Florez-Fernandez J, Lessard B, Lumbers J, Rodriguez J, Schmidt-Lebuhn A, Zwick A, Milla L. Pollen DNA metabarcoding reveals cryptic diversity and high spatial turnover in alpine plant-pollinator networks. Mol Ecol 2023; 32:6377-6393. [PMID: 36065738 DOI: 10.1111/mec.16682] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 08/18/2022] [Accepted: 08/30/2022] [Indexed: 11/29/2022]
Abstract
Alpine plant-pollinator communities play an important role in the functioning of alpine ecosystems, which are highly threatened by climate change. However, we still have a poor understanding of how environmental factors and spatiotemporal variability shape these communities. Here, we investigate what drives structure and beta diversity in a plant-pollinator metacommunity from the Australian alpine region using two approaches: pollen DNA metabarcoding (MB) and observations. Individual pollinators often carry pollen from multiple plant species, and therefore we expected MB to reveal a more diverse and complex network structure. We used two gene regions (ITS2 and trnL) to identify plant species present in the pollen loads of 154 insect pollinator specimens from three alpine habitats and construct MB networks, and compared them to networks based on observations alone. We compared species and interaction turnover across space for both types of networks, and evaluated their differences for plant phylogenetic diversity and beta diversity. We found significant structural differences between the two types of networks; notably, MB networks were much less specialized but more diverse than observation networks, with MB detecting many cryptic plant species. Both approaches revealed that alpine pollination networks are very generalized, but we estimated a high spatial turnover of plant species (0.79) and interaction rewiring (0.6) as well as high plant phylogenetic diversity (0.68) driven by habitat differences based on the larger diversity of plant species and species interactions detected with MB. Overall, our findings show that habitat and microclimatic heterogeneity drives diversity and fine-scale spatial turnover of alpine plant-pollinator networks.
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Affiliation(s)
- Francisco Encinas-Viso
- Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia
| | - Jessica Bovill
- Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia
| | - David E Albrecht
- Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia
| | - Jaime Florez-Fernandez
- Australian National Insect Collection, Australian Capital Territory, Canberra, Australia
| | - Bryan Lessard
- Australian National Insect Collection, Australian Capital Territory, Canberra, Australia
| | - James Lumbers
- Australian National Insect Collection, Australian Capital Territory, Canberra, Australia
| | - Juanita Rodriguez
- Australian National Insect Collection, Australian Capital Territory, Canberra, Australia
| | - Alexander Schmidt-Lebuhn
- Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia
| | - Andreas Zwick
- Australian National Insect Collection, Australian Capital Territory, Canberra, Australia
| | - Liz Milla
- Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia
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8
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Wang S, Paul S, De Boeck P. Joint Latent Space Model for Social Networks with Multivariate Attributes. PSYCHOMETRIKA 2023; 88:1197-1227. [PMID: 37615903 DOI: 10.1007/s11336-023-09926-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Indexed: 08/25/2023]
Abstract
In social, behavioral and economic sciences, researchers are interested in modeling a social network among a group of individuals, along with their attributes. The attributes can be responses to survey questionnaires and are often high dimensional. We propose a joint latent space model (JLSM) that summarizes information from the social network and the multivariate attributes in a person-attribute joint latent space. We develop a variational Bayesian expectation-maximization estimation algorithm to estimate the attribute and person locations in the joint latent space. This methodology allows for effective integration, informative visualization and prediction of social networks and attributes. Using JLSM, we explore the French financial elites based on their social networks and their career, political views and social status. We observe a division in the social circles of the French elites in accordance with the differences in their attributes. We analyze user networks and behaviors in multimodal social media systems like YouTube. A R package "jlsm" is developed to fit the models proposed in this paper and is publicly available from the CRAN repository https://cran.r-project.org/web/packages/jlsm/jlsm.pdf .
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Affiliation(s)
- Selena Wang
- Department of Biostatistics, Yale University, New Haven, USA.
| | - Subhadeep Paul
- Department of Statistics, The Ohio State University, Columbus, USA
| | - Paul De Boeck
- Department of Statistics, The Ohio State University, Columbus, USA
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9
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Navarrete SA, Ávila-Thieme MI, Valencia D, Génin A, Gelcich S. Monitoring the fabric of nature: using allometric trophic network models and observations to assess policy effects on biodiversity. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220189. [PMID: 37246381 PMCID: PMC10225859 DOI: 10.1098/rstb.2022.0189] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/07/2023] [Indexed: 05/30/2023] Open
Abstract
Species diversity underpins all ecosystem services that support life. Despite this recognition and the great advances in detecting biodiversity, exactly how many and which species co-occur and interact, directly or indirectly in any ecosystem is unknown. Biodiversity accounts are incomplete; taxonomically, size, habitat, mobility or rarity biased. In the ocean, the provisioning of fish, invertebrates and algae is a fundamental ecosystem service. This extracted biomass depends on a myriad of microscopic and macroscopic organisms that make up the fabric of nature and which are affected by management actions. Monitoring them all and attributing changes to management policies is daunting. Here we propose that dynamic quantitative models of species interactions can be used to link management policy and compliance with complex ecological networks. This allows managers to qualitatively identify 'interaction-indicator' species, which are highly impacted by management policies through propagation of complex ecological interactions. We ground the approach in intertidal kelp harvesting in Chile and fishers' compliance with policies. Results allow us to identify sets of species that respond to management policy and/or compliance, but which are often not included in standardized monitoring. The proposed approach aids in the design of biodiversity programmes that attempt to connect management with biodiversity change. This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
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Affiliation(s)
- Sergio A. Navarrete
- Estación Costera de Investigaciones Marinas, Las Cruces, Departamento de Ecología, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
- Instituto Milenio en Socio-Ecología Costera (SECOS) and Center for Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
- Millenium Nucleus for Ecology and Conservation of Temperate Mesophotic Reef Ecosystems (NUTME), Pontificia Universidad Católica de Chile, Santiago 8331150, Chile and Center COPAS-COASTAL, Universidad de Concepción, Concepción 4070386, Chile
| | - M. Isidora Ávila-Thieme
- Instituto Milenio en Socio-Ecología Costera (SECOS) and Center for Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
- Departamento de Ecología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
- Advanced Conservation Strategies, Midway, UT 84049, USA
| | - Daniel Valencia
- Estación Costera de Investigaciones Marinas, Las Cruces, Departamento de Ecología, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Alexandre Génin
- Estación Costera de Investigaciones Marinas, Las Cruces, Departamento de Ecología, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
- Copernicus Institute of Sustainable Development, Utrecht University, PO Box 80115, 3508 TC Utrecht, The Netherlands
| | - Stefan Gelcich
- Instituto Milenio en Socio-Ecología Costera (SECOS) and Center for Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
- Departamento de Ecología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
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10
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Kumar T, Sethuraman R, Mitra S, Ravindran B, Narayanan M. MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication. PLoS Comput Biol 2023; 19:e1011022. [PMID: 37093889 PMCID: PMC10159362 DOI: 10.1371/journal.pcbi.1011022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 05/04/2023] [Accepted: 03/12/2023] [Indexed: 04/25/2023] Open
Abstract
With the evolution of multicellularity, communication among cells in different tissues and organs became pivotal to life. Molecular basis of such communication has long been studied, but genome-wide screens for genes and other biomolecules mediating tissue-tissue signaling are lacking. To systematically identify inter-tissue mediators, we present a novel computational approach MultiCens (Multilayer/Multi-tissue network Centrality measures). Unlike single-layer network methods, MultiCens can distinguish within- vs. across-layer connectivity to quantify the "influence" of any gene in a tissue on a query set of genes of interest in another tissue. MultiCens enjoys theoretical guarantees on convergence and decomposability, and performs well on synthetic benchmarks. On human multi-tissue datasets, MultiCens predicts known and novel genes linked to hormones. MultiCens further reveals shifts in gene network architecture among four brain regions in Alzheimer's disease. MultiCens-prioritized hypotheses from these two diverse applications, and potential future ones like "Multi-tissue-expanded Gene Ontology" analysis, can enable whole-body yet molecular-level systems investigations in humans.
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Affiliation(s)
- Tarun Kumar
- Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India
- The Centre for Integrative Biology and Systems medicinE (IBSE), IIT Madras, Chennai, India
- Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai, India
| | | | - Sanga Mitra
- Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India
| | - Balaraman Ravindran
- Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India
- The Centre for Integrative Biology and Systems medicinE (IBSE), IIT Madras, Chennai, India
- Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai, India
| | - Manikandan Narayanan
- Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India
- The Centre for Integrative Biology and Systems medicinE (IBSE), IIT Madras, Chennai, India
- Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai, India
- Multiscale Digital Neuroanatomy (MDN), IIT Madras, Chennai, India
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11
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González C. Evolution of the concept of ecological integrity and its study through networks. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2022.110224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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12
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Predicting cascading extinctions and efficient restoration strategies in plant-pollinator networks via generalized positive feedback loops. Sci Rep 2023; 13:902. [PMID: 36650198 PMCID: PMC9845316 DOI: 10.1038/s41598-023-27525-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 01/03/2023] [Indexed: 01/18/2023] Open
Abstract
The extinction of a species in a plant-pollinator mutualistic community can cause cascading effects and lead to major biodiversity loss. The ecologically important task of predicting the severity of the cascading effects is made challenging by the complex network of interactions among the species. In this work, we analyze an ensemble of models of communities of plant and pollinator species. These models describe the mutualistic inter-species interactions by Boolean threshold functions. We show that identifying generalized positive feedback loops can help pinpoint the species whose extinction leads to catastrophic and substantial damage to the whole community. We compare these results with the damage percentage caused by the loss of species identified as important by previously studied structural measures and show that positive feedback loops and the information gained from them can identify certain crucial species that the other measures fail to find. We also suggest mitigation measures for two specific purposes: (1) prevent the damage to the community by protecting a subset of the species, and (2) restore the community after the damage by restoring a subset of species. Our analyses indicate that the generalized positive feedback loops predict the most efficient strategies to achieve these purposes. The correct identification of species in each category has important implications for conservation efforts and developing community management strategies.
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13
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Kéfi S, Saade C, Berlow EL, Cabral JS, Fronhofer EA. Scaling up our understanding of tipping points. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210386. [PMID: 35757874 PMCID: PMC9234815 DOI: 10.1098/rstb.2021.0386] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/01/2022] [Indexed: 11/12/2022] Open
Abstract
Anthropogenic activities are increasingly affecting ecosystems across the globe. Meanwhile, empirical and theoretical evidence suggest that natural systems can exhibit abrupt collapses in response to incremental increases in the stressors, sometimes with dramatic ecological and economic consequences. These catastrophic shifts are faster and larger than expected from the changes in the stressors and happen once a tipping point is crossed. The primary mechanisms that drive ecosystem responses to perturbations lie in their architecture of relationships, i.e. how species interact with each other and with the physical environment and the spatial structure of the environment. Nonetheless, existing theoretical work on catastrophic shifts has so far largely focused on relatively simple systems that have either few species and/or no spatial structure. This work has laid a critical foundation for understanding how abrupt responses to incremental stressors are possible, but it remains difficult to predict (let alone manage) where or when they are most likely to occur in more complex real-world settings. Here, we discuss how scaling up our investigations of catastrophic shifts from simple to more complex-species rich and spatially structured-systems could contribute to expanding our understanding of how nature works and improve our ability to anticipate the effects of global change on ecological systems. This article is part of the theme issue 'Ecological complexity and the biosphere: the next 30 years'.
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Affiliation(s)
- Sonia Kéfi
- ISEM, CNRS, University of Montpellier, IRD, EPHE, Montpellier, France
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
| | - Camille Saade
- ISEM, CNRS, University of Montpellier, IRD, EPHE, Montpellier, France
| | | | - Juliano S. Cabral
- Ecosystem Modeling Group, Center for Computational and Theoretical Biology, University of Würzburg, Würzburg, Germany
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14
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Emary C, Malchow AK. Stability-instability transition in tripartite merged ecological networks. J Math Biol 2022; 85:20. [PMID: 35960362 PMCID: PMC9374642 DOI: 10.1007/s00285-022-01783-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/07/2022] [Accepted: 07/05/2022] [Indexed: 11/25/2022]
Abstract
Although ecological networks are typically constructed based on a single type of interaction, e.g. trophic interactions in a food web, a more complete picture of ecosystem composition and functioning arises from merging networks of multiple interaction types. In this work, we consider tripartite networks constructed by merging two bipartite networks, one mutualistic and one antagonistic. Taking the interactions within each sub-network to be distributed randomly, we consider the stability of the dynamics of the network based on the spectrum of its community matrix. In the asymptotic limit of a large number of species, we show that the spectrum undergoes an eigenvalue phase transition, which leads to an abrupt destabilisation of the network as the ratio of mutualists to antagonists is increased. We also derive results that show how this transition is manifest in networks of finite size, as well as when disorder is introduced in the segregation of the two interaction types. Our random-matrix results will serve as a baseline for understanding the behaviour of merged networks with more realistic structures and/or more detailed dynamics.
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Affiliation(s)
- Clive Emary
- School of Mathematics, Statistics and Physics, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK.
| | - Anne-Kathleen Malchow
- Institute for Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany
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Funes M, Saravia LA, Cordone G, Iribarne OO, Galván DE. Network analysis suggests changes in food web stability produced by bottom trawl fishery in Patagonia. Sci Rep 2022; 12:10876. [PMID: 35760984 PMCID: PMC9237026 DOI: 10.1038/s41598-022-14363-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 06/06/2022] [Indexed: 11/30/2022] Open
Abstract
Demersal fisheries are one of the top anthropic stressors in marine environments. In the long term, some species are more vulnerable to fishery impacts than others, which can lead to permanent changes on the food web. The trophic relationships between predator and prey constitute the food web and it represents a network of the energy channels in an ecosystem. In turn, the network structure influences ecosystem diversity and stability. The first aim of this study was to describe for the first time the food web of the San Jorge Gulf (Patagonia Argentina) with high resolution, i.e. to the species level when information is available. The San Jorge Gulf was subject to intense fisheries thus our second aim is to analyse the food web structure with and without fishery to evaluate if the bottom-trawl industrial fishery altered the network structure and stability. We used several network metrics like: mean trophic level, omnivory, modularity and quasi-sign stability. We included these metrics because they are related to stability and can be evaluated using predator diets that can weight the links between predators and prey. The network presented 165 species organized in almost five trophic levels. The inclusion of a fishery node adds 69 new trophic links. All weighted and unweighted metrics showed differences between the two networks, reflecting a decrease in stability when fishery was included in the system. Thus, our results suggested a probable change of state of the system. The observed changes in species abundances since the fishery was established, could represent the state change predicted by network analysis. Our results suggests that changes in the stability of food webs can be used to evaluate the impacts of human activity on ecosystems.
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Affiliation(s)
- Manuela Funes
- Instituto de Investigaciones Marinas y Costeras (IIMyC-CONICET), Rodriguez Peña 4046 Nivel 1, B7602GSD, Mar del Plata, Buenos Aires, Argentina
| | - Leonardo A Saravia
- Centro Austral de Investigaciones Científicas del Consejo Nacional de Investigaciones Científicas y Técnicas (CADIC-CONICET), Bernardo Houssay 200, V9410CAB, Ushuaia, Tierra del Fuego, Argentina. .,Instituto de Ciencias, Universidad Nacional de General Sarmiento, J.M. Gutierrez 1159 (1613), Los Polvorines, Buenos Aires, Argentina.
| | - Georgina Cordone
- Centro para el Estudio de Sistemas Marinos-Consejo Nacional de Investigaciones Científicas y Técnicas (CESIMAR-CONICET), Bv. Almirante Brown 2915, U9120ACV, Puerto Madryn, Chubut, Argentina
| | - Oscar O Iribarne
- Instituto de Investigaciones Marinas y Costeras (IIMyC-CONICET), Rodriguez Peña 4046 Nivel 1, B7602GSD, Mar del Plata, Buenos Aires, Argentina
| | - David E Galván
- Centro para el Estudio de Sistemas Marinos-Consejo Nacional de Investigaciones Científicas y Técnicas (CESIMAR-CONICET), Bv. Almirante Brown 2915, U9120ACV, Puerto Madryn, Chubut, Argentina
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16
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Wood SLR, Martins KT, Dumais-Lalonde V, Tanguy O, Maure F, St-Denis A, Rayfield B, Martin AE, Gonzalez A. Missing Interactions: The Current State of Multispecies Connectivity Analysis. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.830822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Designing effective habitat and protected area networks, which sustain species-rich communities is a critical conservation challenge. Recent decades have witnessed the emergence of new computational methods for analyzing and prioritizing the connectivity needs of multiple species. We argue that the goal of prioritizing habitat for multispecies connectivity should be focused on long-term persistence of a set of species in a landscape or seascape. Here we present a review of the literature based on 77 papers published between 2010 and 2020, in which we assess the current state and recent advances in multispecies connectivity analysis in terrestrial ecosystems. We summarize the four most employed analytical methods, compare their data requirements, and provide an overview of studies comparing results from multiple methods. We explicitly look at approaches for integrating multiple species considerations into reserve design and identify novel approaches being developed to overcome computational and theoretical challenges posed by multispecies connectivity analyses. There is a lack of common metrics for multispecies connectivity. We suggest the index of metapopulation capacity as one metric by which to assess and compare the effectiveness of proposed network designs. We conclude that, while advances have been made over the past decade, the field remains nascent by its ability to integrate multiple species interactions into analytical approaches to connectivity. Furthermore, the field is hampered its ability to provide robust connectivity assessments for lack of a clear definition and goal for multispecies connectivity conservation.
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17
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Rodriguez ID, Marina TI, Schloss IR, Saravia LA. Marine food webs are more complex but less stable in sub-Antarctic (Beagle Channel, Argentina) than in Antarctic (Potter Cove, Antarctic Peninsula) regions. MARINE ENVIRONMENTAL RESEARCH 2022; 174:105561. [PMID: 35026725 DOI: 10.1016/j.marenvres.2022.105561] [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: 06/14/2021] [Revised: 10/26/2021] [Accepted: 01/05/2022] [Indexed: 06/14/2023]
Abstract
Food web structure plays an important role in determining ecosystem stability against perturbations. High-latitude marine ecosystems are being affected by environmental stressors and biological invasions. In the West Antarctic Peninsula these transformations are mainly driven by climate change, while in the sub-Antarctic region by anthropogenic activities. Understanding the differences between these areas is necessary to monitor the changes that are expected to occur in the upcoming decades. Here, we compared the structure and stability of Antarctic (Potter Cove) and sub-Antarctic (Beagle Channel) marine food webs. We compiled species trophic interactions (predator-prey) and calculated complexity, structure and stability metrics. Even if both food webs presented the same connectance, we found important differences between them. The Beagle Channel food web is more complex, but less stable and sensitive to the loss of its most connected species, while the Potter Cove food web presented lower complexity and greater stability against perturbations.
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Affiliation(s)
- Iara Diamela Rodriguez
- Biology and Bioinformatics Area, Instituto de Ciencias (ICI), Universidad Nacional de General Sarmiento (UNGS), Juan María Gutiérrez 1150, CP 1613, Los Polvorines, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Tomás I Marina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Laboratorio de Oceanografía Biológica, Centro Austral de Investigaciones Científicas (CADIC-CONICET), Bernardo Houssay 200, CP 9410, Ushuaia, Argentina
| | - Irene Ruth Schloss
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Laboratorio de Oceanografía Biológica, Centro Austral de Investigaciones Científicas (CADIC-CONICET), Bernardo Houssay 200, CP 9410, Ushuaia, Argentina; Instituto Antártico Argentino (IAA), Av. 25 de Mayo 1147, CP 1650, San Martín, Buenos Aires, Argentina
| | - Leonardo Ariel Saravia
- Biology and Bioinformatics Area, Instituto de Ciencias (ICI), Universidad Nacional de General Sarmiento (UNGS), Juan María Gutiérrez 1150, CP 1613, Los Polvorines, Buenos Aires, Argentina.
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18
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Yan C. Nestedness interacts with subnetwork structures and interconnection patterns to affect community dynamics in ecological multilayer networks. J Anim Ecol 2022; 91:738-751. [DOI: 10.1111/1365-2656.13665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 01/03/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Chuan Yan
- State Key Laboratory of Grassland Agro‐ecosystems Institute of Innovation Ecology & College of Life Sciences Lanzhou University Lanzhou 730000 China
- Yuzhong Mountain Ecosystems Observation and Research Station Lanzhou University Lanzhou 730000 China
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19
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Fatemi Nasrollahi FS, Gómez Tejeda Zañudo J, Campbell C, Albert R. Relationships among generalized positive feedback loops determine possible community outcomes in plant-pollinator interaction networks. Phys Rev E 2021; 104:054304. [PMID: 34942827 DOI: 10.1103/physreve.104.054304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 10/15/2021] [Indexed: 11/07/2022]
Abstract
Attractors in Boolean network models representing complex systems such as ecological communities correspond to long-term outcomes (e.g., stable communities) in such systems. As a result, identifying efficient methods to find and characterize these attractors allows for a better understanding of the diversity of possible outcomes. Here we analyze networks that model mutualistic communities of plant and pollinator species governed by Boolean threshold functions. We propose a novel attractor identification method based on generalized positive feedback loops and their functional relationships in such networks. We show that these relationships determine the mechanisms by which groups of stable positive feedback loops collectively trap the system in specific regions of the state space and lead to attractors. Put into the ecological context, we show how survival units-small groups of species in which species can maintain a specific survival state-and their relationships determine the final community outcomes in plant-pollinator networks. We find a remarkable diversity of community outcomes: up to an average of 43 attractors possible for networks with 100 species. This diversity is due to the multiplicity of survival units (up to 34) and stable subcommunities (up to 14). The timing of species influx or outflux does not affect the number of attractors, but it may influence their basins of attraction.
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Affiliation(s)
| | | | | | - Réka Albert
- Department of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.,Department of Biology, The Pennsylvania State University, University Park, Pennsylvania 16801, USA
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20
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Botella C, Dray S, Matias C, Miele V, Thuiller W. An appraisal of graph embeddings for comparing trophic network architectures. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13738] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Christophe Botella
- Laboratoire d'Ecologie Alpine Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LECA Grenoble France
| | - Stéphane Dray
- Université de Lyon Lyon France
- Laboratoire de Biométrie et Biologie Évolutive Université Lyon 1 CNRS UMR5558 Villeurbanne France
| | - Catherine Matias
- Laboratoire de Probabilités, Statistique et Modélisation Centre National de la Recherche Scientifique Sorbonne Université Université de Paris Paris France
| | - Vincent Miele
- Université de Lyon Lyon France
- Laboratoire de Biométrie et Biologie Évolutive Université Lyon 1 CNRS UMR5558 Villeurbanne France
| | - Wilfried Thuiller
- Laboratoire d'Ecologie Alpine Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LECA Grenoble France
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21
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Interaction networks between solitary hymenopterans and their natural enemies in different restoration areas. JOURNAL OF TROPICAL ECOLOGY 2021. [DOI: 10.1017/s0266467421000419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractThe diversity of species and their interactions have been positively related with environmental complexity. Therefore, highly anthropized environments have their integrity under serious threat. These effects may last for years compromising the dynamics of natural communities, such as antagonistic and mutualistic interactions, including host-natural enemy interactions. To investigate these effects, trap nest methodology was used to assess the diversity of solitary bees, wasps and their natural enemies in three fragmented environments with different degree of anthropic perturbation, composed of a Eucalyptus plantation (considered here as higher perturbation), a Cerrado area (medium perturbation) and a Riparian forest (lesser perturbation). Then, host-natural enemies associations were analysed to verify the size, specialization degree and modularity of interaction network. The gradient from highest to lowest degree of anthropic perturbation was evidenced in the species diversity index, the size of the interaction network and the specialization indexes of the host-natural enemy network. The environment with Eucalyptus plantation showed higher values of diversity of natural enemies, greater number of species in the interaction network, lesser degree of specialization in the interaction and lesser modularity, than Cerrado and Riparian forest environments, respectively. The low degree of nestedness and lack of significance of this index to all sampled areas are indicative of a specialized pattern of networks. The results corroborate the notion that human impact may affect interaction networks, this being an important tool for checking the degree of anthropic alteration.
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22
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Spaak JW, Godoy O, De Laender F. Mapping species niche and fitness differences for communities with multiple interaction types. OIKOS 2021. [DOI: 10.1111/oik.08362] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Jürg W. Spaak
- Univ. of Namur, Inst. of Life‐Earth‐Environment, Namur Center for Complex Systems Namur Rue de Bruxelles Belgium
| | - Oscar Godoy
- Depto de Biología, Inst. Universitario de Investigación Marina (INMAR), Univ. de Cádiz Puerto Real Spain
| | - Frederik De Laender
- Univ. of Namur, Inst. of Life‐Earth‐Environment, Namur Center for Complex Systems Namur Rue de Bruxelles Belgium
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23
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Nonaka E, Kuparinen A. A modified niche model for generating food webs with stage-structured consumers: The stabilizing effects of life-history stages on complex food webs. Ecol Evol 2021; 11:4101-4125. [PMID: 33976797 PMCID: PMC8093700 DOI: 10.1002/ece3.7309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 01/31/2021] [Indexed: 11/11/2022] Open
Abstract
Almost all organisms grow in size during their lifetime and switch diets, trophic positions, and interacting partners as they grow. Such ontogenetic development introduces life-history stages and flows of biomass between the stages through growth and reproduction. However, current research on complex food webs rarely considers life-history stages. The few previously proposed methods do not take full advantage of the existing food web structural models that can produce realistic food web topologies.We extended the niche model developed by Williams and Martinez (Nature, 2000, 404, 180-183) to generate food webs that included trophic species with a life-history stage structure. Our method aggregated trophic species based on niche overlap to form a life-history structured population; therefore, it largely preserved the topological structure of food webs generated by the niche model. We applied the theory of allometric predator-prey body mass ratio and parameterized an allometric bioenergetic model augmented with biomass flow between stages via growth and reproduction to study the effects of a stage structure on the stability of food webs.When life-history stages were linked via growth and reproduction, more food webs persisted, and persisting food webs tended to retain more trophic species. Topological differences between persisting linked and unlinked food webs were small to modest. The slopes of biomass spectra were lower, and weak interaction links were more prevalent in the linked food webs than the unlinked ones, suggesting that a life-history stage structure promotes characteristics that can enhance stability of complex food webs.Our results suggest a positive relationship between the complexity and stability of complex food webs. A life-history stage structure in food webs may play important roles in dynamics of and diversity in food webs.
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Affiliation(s)
- Etsuko Nonaka
- Department of Biological and Environmental SciencesUniversity of JyväskyläJyväskyläFinland
| | - Anna Kuparinen
- Department of Biological and Environmental SciencesUniversity of JyväskyläJyväskyläFinland
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24
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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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25
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Thom D, Taylor AR, Seidl R, Thuiller W, Wang J, Robideau M, Keeton WS. Forest structure, not climate, is the primary driver of functional diversity in northeastern North America. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 762:143070. [PMID: 33127131 PMCID: PMC7612768 DOI: 10.1016/j.scitotenv.2020.143070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/10/2020] [Accepted: 10/10/2020] [Indexed: 06/11/2023]
Abstract
Functional diversity (FD), represented by plant traits, is fundamentally linked to an ecosystem's capacity to respond to environmental change. Yet, little is known about the spatial distribution of FD and its drivers. These knowledge gaps prevent the development of FD-based forest management approaches to increase the trait diversity insurance (i.e., the response diversity) against future environmental fluctuations and disturbances. Our study helps fill these knowledge gaps by (i) mapping the current FD distribution, (ii) and analyzing FD drivers across northeastern North America. Following the stress-dominance hypothesis, we expected a strong environmental filtering effect on FD. Moreover, we expected abundant species to determine the bulk of FD distributions as suggested by the mass-ratio hypothesis. We combined a literature and database review of 44 traits for 43 tree species with terrestrial inventory data of 48,426 plots spanning an environmental gradient from northern boreal to temperate biomes. We evaluated the statistical influence of 25 covariates related to forest structure, climate, topography, soils, and stewardship on FD by employing an ensemble approach consisting of 90 non-parametric models. Temperate forests and the boreal-temperate ecotone east and northeast of the Great Lakes were identified as FD hotspots. Environmental filtering by climate was of secondary importance, with forest structure explaining most of the FD distribution of tree species in northeastern North America. Thus, our study provides only partial support for the stress-dominance hypothesis. Species abundance weightings altered trait diversity distributions and drivers only marginally, supporting the mass-ratio hypothesis. Our results suggest that forest management could increase FD without requiring knowledge of functional ecology by fostering stand structural complexity instead. Further, mixing species from different functional groups identified in this study can enhance the trait diversity insurance of forests to an uncertain future.
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Affiliation(s)
- Dominik Thom
- Rubenstein School of Environment and Natural Resources, University of Vermont, 81 Carrigan Drive, Burlington, VT 05405, USA; Gund Institute for Environment, University of Vermont, 617 Main Street, Burlington, VT 05405, USA; Institute of Silviculture, Department of Forest- and Soil Sciences, University of Natural Resources and Life Sciences (BOKU) Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria; Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany.
| | - Anthony R Taylor
- Atlantic Forestry Centre, Canadian Forest Service, Natural Resources Canada, 1350 Regent Street, P.O. Box 4000, Fredericton, NB E3B 5P7, Canada
| | - Rupert Seidl
- Institute of Silviculture, Department of Forest- and Soil Sciences, University of Natural Resources and Life Sciences (BOKU) Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria; Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany; Berchtesgaden National Park, Doktorberg 6, 83471 Berchtesgaden, Germany
| | - Wilfried Thuiller
- Université Grenoble Alpes, CNRS, Université Savoie-Mont-Blanc, LECA, Laboratoire d'Ecologie Alpine, F-38000 Grenoble, France
| | - Jiejie Wang
- Atlantic Forestry Centre, Canadian Forest Service, Natural Resources Canada, 1350 Regent Street, P.O. Box 4000, Fredericton, NB E3B 5P7, Canada
| | - Mary Robideau
- Rubenstein School of Environment and Natural Resources, University of Vermont, 81 Carrigan Drive, Burlington, VT 05405, USA
| | - William S Keeton
- Rubenstein School of Environment and Natural Resources, University of Vermont, 81 Carrigan Drive, Burlington, VT 05405, USA; Gund Institute for Environment, University of Vermont, 617 Main Street, Burlington, VT 05405, USA
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26
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Forster D, Qu Z, Pitsch G, Bruni EP, Kammerlander B, Pröschold T, Sonntag B, Posch T, Stoeck T. Lake Ecosystem Robustness and Resilience Inferred from a Climate-Stressed Protistan Plankton Network. Microorganisms 2021; 9:microorganisms9030549. [PMID: 33800927 PMCID: PMC8001626 DOI: 10.3390/microorganisms9030549] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/17/2021] [Accepted: 03/01/2021] [Indexed: 11/23/2022] Open
Abstract
Network analyses of biological communities allow for identifying potential consequences of climate change on the resilience of ecosystems and their robustness to resist stressors. Using DNA metabarcoding datasets from a three-year-sampling (73 samples), we constructed the protistan plankton co-occurrence network of Lake Zurich, a model lake ecosystem subjected to climate change. Despite several documentations of dramatic lake warming in Lake Zurich, our study provides an unprecedented perspective by linking changes in biotic association patterns to climate stress. Water temperature belonged to the strongest environmental parameters splitting the data into two distinct seasonal networks (October–April; May–September). The expected ecological niche of phytoplankton, weakened through nutrient depletion because of permanent thermal stratification and through parasitic fungi, was occupied by the cyanobacterium Planktothrix rubescens and mixotrophic nanoflagellates. Instead of phytoplankton, bacteria and nanoflagellates were the main prey organisms associated with key predators (ciliates), which contrasts traditional views of biological associations in lake plankton. In a species extinction scenario, the warm season network emerged as more vulnerable than the cold season network, indicating a time-lagged effect of warmer winter temperatures on the communities. We conclude that climate stressors compromise lake ecosystem robustness and resilience through species replacement, richness differences, and succession as indicated by key network properties.
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Affiliation(s)
- Dominik Forster
- Department of Ecology, University of Kaiserslautern, D-67633 Kaiserslautern, Germany; (D.F.); (Z.Q.)
| | - Zhishuai Qu
- Department of Ecology, University of Kaiserslautern, D-67633 Kaiserslautern, Germany; (D.F.); (Z.Q.)
| | - Gianna Pitsch
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, CH-8802 Zurich, Switzerland; (G.P.); (E.P.B.); (T.P.)
| | - Estelle P. Bruni
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, CH-8802 Zurich, Switzerland; (G.P.); (E.P.B.); (T.P.)
- Laboratory of Soil Biodiversity, University of Neuchâtel, CH-2000 Neuchâtel, Switzerland
| | - Barbara Kammerlander
- Research Department for Limnology, University of Innsbruck, A-5310 Mondsee, Austria; (B.K.); (T.P.); (B.S.)
| | - Thomas Pröschold
- Research Department for Limnology, University of Innsbruck, A-5310 Mondsee, Austria; (B.K.); (T.P.); (B.S.)
| | - Bettina Sonntag
- Research Department for Limnology, University of Innsbruck, A-5310 Mondsee, Austria; (B.K.); (T.P.); (B.S.)
| | - Thomas Posch
- Limnological Station, Department of Plant and Microbial Biology, University of Zurich, CH-8802 Zurich, Switzerland; (G.P.); (E.P.B.); (T.P.)
| | - Thorsten Stoeck
- Department of Ecology, University of Kaiserslautern, D-67633 Kaiserslautern, Germany; (D.F.); (Z.Q.)
- Correspondence: ; Tel.: +49-631-205-2502; Fax: +49-631-2051-32496
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28
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Robroek BJM, Martí M, Svensson BH, Dumont MG, Veraart AJ, Jassey VEJ. Rewiring of peatland plant–microbe networks outpaces species turnover. OIKOS 2021. [DOI: 10.1111/oik.07635] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Bjorn J. M. Robroek
- Aquatic Ecology and Environmental Biology, Inst. for Water and Wetland Research, Faculty of Science, Radboud Univ. Nijmegen Nijmegen the Netherlands
| | - Magalí Martí
- Thematic Studies – Environmental Change, Linköping Univ. Linköping Sweden
| | - Bo H. Svensson
- Thematic Studies – Environmental Change, Linköping Univ. Linköping Sweden
| | - Marc G. Dumont
- School of Biological Sciences, Faculty of Environmental and Life Sciences, Univ. of Southampton Southampton UK
| | - Annelies J. Veraart
- Aquatic Ecology and Environmental Biology, Inst. for Water and Wetland Research, Faculty of Science, Radboud Univ. Nijmegen Nijmegen the Netherlands
| | - Vincent E. J. Jassey
- Laboratoire d'Ecologie Fonctionnelle et Environnement, Univ. de Toulouse, CNRS Toulouse Cedex France
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29
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Balfour NJ, Shackleton K, Arscott NA, Roll-Baldwin K, Bracuti A, Toselli G, Ratnieks FLW. Energetic efficiency of foraging mediates bee niche partitioning. Ecology 2021; 102:e03285. [PMID: 33462847 DOI: 10.1002/ecy.3285] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 12/08/2020] [Accepted: 01/11/2021] [Indexed: 11/11/2022]
Abstract
Revitalizing our understanding of species distributions and assembly in community ecology requires greater use of functional (physiological) approaches based on quantifiable factors such as energetics. Here, we explore niche partitioning between bumble and honey bees by comparing a measure of within-patch foraging efficiency, the ratio of flower visitation rate (proportional to energy gain) to body mass (energy cost). This explained a remarkable 74% of the variation in the proportions of bumble to honey bees across 22 plant species and was confirmed using detailed energy calculations. Bumble bees visited flowers at a greater rate (realizing greater energy benefits) than honey bees, but were heavier (incurring greater energy costs) and predominated only on plant species where their benefit : cost ratio was higher than for honey bees. Importantly, the competition between honey bees and bumble bees had no consistent winner, thus highlighting the importance of plant diversity to the coexistence of competing bees. By contrast, tongue : corolla-tube-length ratio explained only 7% of the variation (non-significant). Our results confirm the importance of energetics in understanding community ecology and bee foraging niche and highlight the energetic tightrope navigated by foraging bees, since approximately half the nectar energy gained was expended in its collection.
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Affiliation(s)
| | - Kyle Shackleton
- School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK
| | - Natalie A Arscott
- School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK
| | | | - Anthony Bracuti
- School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK
| | - Gioelle Toselli
- School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK
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30
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Alteration of coastal productivity and artisanal fisheries interact to affect a marine food web. Sci Rep 2021; 11:1765. [PMID: 33469119 PMCID: PMC7815714 DOI: 10.1038/s41598-021-81392-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 12/29/2020] [Indexed: 01/29/2023] Open
Abstract
Top-down and bottom-up forces determine ecosystem function and dynamics. Fisheries as a top-down force can shorten and destabilize food webs, while effects driven by climate change can alter the bottom-up forces of primary productivity. We assessed the response of a highly-resolved intertidal food web to these two global change drivers, using network analysis and bioenergetic modelling. We quantified the relative importance of artisanal fisheries as another predator species, and evaluated the independent and combined effects of fisheries and changes in plankton productivity on food web dynamics. The food web was robust to the loss of all harvested species but sensitive to the decline in plankton productivity. Interestingly, fisheries dampened the negative impacts of decreasing plankton productivity on non-harvested species by reducing the predation pressure of harvested consumers on non-harvested resources, and reducing the interspecific competition between harvested and non-harvested basal species. In contrast, the decline in plankton productivity increased the sensitivity of harvested species to fishing by reducing the total productivity of the food web. Our results show that strategies for new scenarios caused by climate change are needed to protect marine ecosystems and the wellbeing of local communities dependent on their resources.
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31
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Gray C, Ma A, McLaughlin O, Petit S, Woodward G, Bohan DA. Ecological plasticity governs ecosystem services in multilayer networks. Commun Biol 2021; 4:75. [PMID: 33462363 PMCID: PMC7813848 DOI: 10.1038/s42003-020-01547-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/30/2020] [Indexed: 11/16/2022] Open
Abstract
Agriculture is under pressure to achieve sustainable development goals for biodiversity and ecosystem services. Services in agro-ecosystems are typically driven by key species, and changes in the community composition and species abundance can have multifaceted effects. Assessment of individual services overlooks co-variance between different, but related, services coupled by a common group of species. This partial view ignores how effects propagate through an ecosystem. We conduct an analysis of 374 agricultural multilayer networks of two related services of weed seed regulation and gastropod mollusc predation delivered by carabid beetles. We found that weed seed regulation increased with the herbivore predation interaction frequency, computed from the network of trophic links between carabids and weed seeds in the herbivore layer. Weed seed regulation and herbivore interaction frequencies declined as the interaction frequencies between carabids and molluscs in the carnivore layer increased. This suggests that carabids can switch to gastropod predation with community change, and that link turnover rewires the herbivore and carnivore network layers affecting seed regulation. Our study reveals that ecosystem services are governed by ecological plasticity in structurally complex, multi-layer networks. Sustainable management therefore needs to go beyond the autecological approaches to ecosystem services that predominate, particularly in agriculture.
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Affiliation(s)
- Clare Gray
- Queen Mary University of London, School of Biological and Chemical Sciences, Mile End Road, London, E1 4NS, UK
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK
| | - Athen Ma
- Queen Mary University of London, School of Electronic Engineering and Computer Science, Mile End Road, London, E1 4NS, UK
| | - Orla McLaughlin
- Agroécologie, AgroSup Dijon, INRAe, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France
| | - Sandrine Petit
- Agroécologie, AgroSup Dijon, INRAe, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France
| | - Guy Woodward
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, Berkshire, SL5 7PY, UK
| | - David A Bohan
- Agroécologie, AgroSup Dijon, INRAe, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
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32
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Kawatsu K, Ushio M, van Veen FJF, Kondoh M. Are networks of trophic interactions sufficient for understanding the dynamics of multi-trophic communities? Analysis of a tri-trophic insect food-web time-series. Ecol Lett 2021; 24:543-552. [PMID: 33439500 DOI: 10.1111/ele.13672] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/24/2020] [Accepted: 12/04/2020] [Indexed: 01/24/2023]
Abstract
Resource-consumer interactions are considered a major driving force of population and community dynamics. However, species also interact in many non-trophic and indirect ways and it is currently not known to what extent the dynamic coupling of species corresponds to the distribution of trophic links. Here, using a 10-year data set of monthly observations of a 40-species tri-trophic insect community and nonlinear time series analysis, we compare the occurrence and strengths of both the trophic and dynamic interactions in the insect community. The matching between observed trophic and dynamic interactions provides evidence that population dynamic interactions reflect resource-consumer interactions in the many-species community. However, the presence of a trophic interaction does not always correspond to a detectable dynamic interaction especially for top-down effects. Moreover a considerable proportion of dynamic interactions are not attributable to direct trophic interactions, suggesting the unignorable role of non-trophic and indirect interactions as co-drivers of community dynamics.
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Affiliation(s)
- Kazutaka Kawatsu
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
| | - Masayuki Ushio
- Hakubi Center, Kyoto University, Kyoto, Japan.,Center for Ecological Research, Kyoto University, Otsu, Japan
| | - F J Frank van Veen
- Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Michio Kondoh
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
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33
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Bar-Hen A, Barbillon P, Donnet S. Block models for generalized multipartite networks: Applications in ecology and ethnobiology. STAT MODEL 2020. [DOI: 10.1177/1471082x20963254] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Generalized multipartite networks consist in the joint observation of several networks implying some common pre-specified groups of individuals. Such complex networks arise commonly in social sciences, biology, ecology, etc. We propose a flexible probabilistic model named Multipartite Block Model (MBM) able to unravel the topology of multipartite networks by identifying clusters (blocks) of nodes sharing the same patterns of connectivity across the collection of networks they are involved in. The model parameters are estimated through a variational version of the Expectation–Maximization algorithm. The numbers of blocks are chosen using an Integrated Completed Likelihood criterion specifically designed for our model. A simulation study illustrates the robustness of the inference strategy. Finally, two datasets respectively issued from ecology and ethnobiology are analyzed with the MBM in order to illustrate its flexibility and its relevance for the analysis of real datasets. The inference procedure is implemented in an R -package GREMLIN , available on Github ( https://github.com/Demiperimetre/GREMLINhttps://github.com/Demiperimetre/GREMLIN ).
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Affiliation(s)
| | - Pierre Barbillon
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA-Paris, 75005, Paris, France
| | - Sophie Donnet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA-Paris, 75005, Paris, France
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34
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Hervías-Parejo S, Tur C, Heleno R, Nogales M, Timóteo S, Traveset A. Species functional traits and abundance as drivers of multiplex ecological networks: first empirical quantification of inter-layer edge weights. Proc Biol Sci 2020; 287:20202127. [PMID: 33234084 DOI: 10.1098/rspb.2020.2127] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Many vertebrate species act as both plant pollinators and seed-dispersers, thus interconnecting these processes, particularly on islands. Ecological multilayer networks are a powerful tool to explore interdependencies between processes; however, quantifying the links between species engaging in different types of interactions (i.e. inter-layer edges) remains a great challenge. Here, we empirically measured inter-layer edge weights by quantifying the role of individually marked birds as both pollinators and seed-dispersers of Galápagos plant species over an entire year. Although most species (80%) engaged in both functions, we show that only a small proportion of individuals actually linked the two processes, highlighting the need to further consider intra-specific variability in individuals' functional roles. Furthermore, we found a high variation among species in linking both processes, i.e. some species contribute more than others to the modular organization of the multilayer network. Small and abundant species are particularly important for the cohesion of pollinator seed-dispersal networks, demonstrating the interplay between species traits and neutral processes structuring natural communities.
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Affiliation(s)
- S Hervías-Parejo
- Oceanography and Global Change Department. C/ Miquel Marqués 21, Institut Mediterrani d'Estudis Avançats IMEDEA (CSIC-UIB), E07190-Esporles, Mallorca, Balearic Islands, Spain
| | - C Tur
- Oceanography and Global Change Department. C/ Miquel Marqués 21, Institut Mediterrani d'Estudis Avançats IMEDEA (CSIC-UIB), E07190-Esporles, Mallorca, Balearic Islands, Spain
| | - R Heleno
- Department of Life Sciences, University of Coimbra, Centre for Functional Ecology, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal
| | - M Nogales
- Instituto de Productos Naturales y Agrobiologia (IPNA-CSIC), Island Ecology and Evolution Research Group. C/Astrofísico Fco. Sánchez 3, 38206 La Laguna, Tenerife, Canaries, Spain
| | - S Timóteo
- Department of Life Sciences, University of Coimbra, Centre for Functional Ecology, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal
| | - A Traveset
- Oceanography and Global Change Department. C/ Miquel Marqués 21, Institut Mediterrani d'Estudis Avançats IMEDEA (CSIC-UIB), E07190-Esporles, Mallorca, Balearic Islands, Spain
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35
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Meyer JM, Leempoel K, Losapio G, Hadly EA. Molecular Ecological Network Analyses: An Effective Conservation Tool for the Assessment of Biodiversity, Trophic Interactions, and Community Structure. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.588430] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
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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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Puche E, Jordán F, Rodrigo MA, Rojo C. Non‐trophic key players in aquatic ecosystems: a mesocosm experiment. OIKOS 2020. [DOI: 10.1111/oik.07476] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Eric Puche
- Cavanilles Inst. of Biodiversity and Evolutionary Biology, Univ. of Valencia Spain
| | - Ferenc Jordán
- Balaton Limnological Inst., Centre for Ecological Research, Tihany, Hungary, and Evolutionary Systems Research Group, Centre for Ecological Research Tihany Hungary
| | - María A. Rodrigo
- Cavanilles Inst. of Biodiversity and Evolutionary Biology, Univ. of Valencia Spain
| | - Carmen Rojo
- Cavanilles Inst. of Biodiversity and Evolutionary Biology, Univ. of Valencia Spain
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38
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Lurgi M, Galiana N, Broitman BR, Kéfi S, Wieters EA, Navarrete SA. Geographical variation of multiplex ecological networks in marine intertidal communities. Ecology 2020; 101:e03165. [PMID: 32798321 DOI: 10.1002/ecy.3165] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 06/19/2020] [Accepted: 06/29/2020] [Indexed: 11/11/2022]
Abstract
Understanding the drivers of geographical variation in species distributions, and the resulting community structure, constitutes one of the grandest challenges in ecology. Geographical patterns of species richness and composition have been relatively well studied. Less is known about how the entire set of trophic and non-trophic ecological interactions, and the complex networks that they create by gluing species together in complex communities, change across geographical extents. Here, we compiled data of species composition and three types of ecological interactions occurring between species in rocky intertidal communities across a large spatial extent (~970 km of shoreline) of central Chile, and analyzed the geographical variability in these multiplex networks (i.e., comprising several interaction types) of ecological interactions. We calculated nine network summary statistics common across interaction types, and additional network attributes specific to each of the different types of interactions. We then investigated potential environmental drivers of this multivariate network organization. These included variation in sea surface temperature and coastal upwelling, the main drivers of productivity in nearshore waters. Our results suggest that structural properties of multiplex ecological networks are affected by local species richness and modulated by factors influencing productivity and environmental predictability. Our results show that non-trophic negative interactions are more sensitive to spatially structured temporal environmental variation than feeding relationships, with non-trophic positive interactions being the least labile to it. We also show that environmental effects are partly mediated through changes in species richness and partly through direct influences on species interactions, probably associated to changes in environmental predictability and to bottom-up nutrient availability. Our findings highlight the need for a comprehensive picture of ecological interactions and their geographical variability if we are to predict potential effects of environmental changes on ecological communities.
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Affiliation(s)
- Miguel Lurgi
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS-Paul Sabatier University, Moulis, 09200, France.,Department of Biosciences, Swansea University, Singleton Park, Swansea, SA2 8PP, United Kingdom
| | - Núria Galiana
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS-Paul Sabatier University, Moulis, 09200, France
| | - Bernardo R Broitman
- Departamento de Ciencias, Facultad de Artes Liberales & Bioengineering Innovation Center, Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Padre Hurtado 750, Viña del Mar, Chile
| | - Sonia Kéfi
- ISEM, CNRS, IRD, EPHE, Univ. Montpellier, Place Eugène Bataillon, Montpellier, 34095, France
| | - Evie A Wieters
- Estación Costera de Investigaciones Marinas, LINC Global, Center for Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Osvaldo Marín 1672, Las Cruces, V Región, 2690000, Chile
| | - Sergio A Navarrete
- Estación Costera de Investigaciones Marinas, LINC Global, Center for Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Osvaldo Marín 1672, Las Cruces, V Región, 2690000, Chile
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39
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Williams MA, Holland CV, Donohue I. Warming can alter host behavior in a similar manner to infection with behavior-manipulating parasites. Oecologia 2020; 194:65-74. [PMID: 32876762 DOI: 10.1007/s00442-020-04745-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 08/26/2020] [Indexed: 11/29/2022]
Abstract
Parasites are ecologically ubiquitous and, by modifying the physiology and behavior of their host organisms, act as key regulators of the dynamics and stability of ecosystems. It is, however, as yet unclear how parasitic relationships will act to moderate or accelerate the ecological impacts of global climate change. Here, we explore experimentally how the effects of parasites on both the physiology and behavior of their hosts can be moderated by warming, utilising a well-established aquatic host-parasite model system-the ecologically important amphipod Gammarus duebeni and its acanthocephalan parasite Polymorphus minutus. We show that, while only warming affected measured components of host physiology, parasite infection and warming both supressed predator-avoidance behavior of the host independently, yet in a similar manner. Six degrees of warming altered geotactic behaviors to the same extent as infection with behavior-manipulating parasites. These results indicate a novel mechanism by which parasites impact their ecosystems that could be critical to predicting the ecological impacts of warming. Our findings highlight the need for holistic knowledge of interaction networks, incorporating multiple interaction types and behaviors, to predict the effects of both warming and parasitism on the dynamics and stability of ecosystems.
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Affiliation(s)
- Maureen A Williams
- Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Dublin 2, Ireland. .,School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA.
| | - Celia V Holland
- Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Dublin 2, Ireland
| | - Ian Donohue
- Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Dublin 2, Ireland
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40
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Aguilera MA, Valdivia N, Broitman BR, Jenkins SR, Navarrete SA. Novel co-occurrence of functionally redundant consumers induced by range expansion alters community structure. Ecology 2020; 101:e03150. [PMID: 32730670 DOI: 10.1002/ecy.3150] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 06/04/2020] [Accepted: 06/19/2020] [Indexed: 11/06/2022]
Abstract
Ongoing climate change is shifting the geographic distributions of some species, potentially imposing rapid changes in local community structure and ecosystem functioning. Besides changes in population-level interspecific interactions, such range shifts may also cause changes in functional structure within the host assemblages, which can result in losses or gains in ecosystem functions. Because consumer-resource dynamics are central to community regulation, functional reorganization driven by introduction of new consumer species can have large consequences on ecosystem functions. Here we experimentally examine the extent to which the recent poleward range expansion of the intertidal grazer limpet Scurria viridula along the coast of Chile has altered the role of the resident congeneric limpet S. zebrina, and whether the net collective impacts, and functional structure, of the entire herbivore guild have been modified by the introduction of this new member. We examined the functional role of Scurria species in controlling ephemeral algal cover, bare rock availability, and species richness and diversity, and compared the effects in the region of range overlap against their respective "native" abutted ranges. Experiments showed depression of per capita effects of the range-expanded species within the region of overlap, suggesting environmental conditions negatively affect individual performance. In contrast, effects of S. zebrina were commonly invariant at its range edge. When comparing single species versus polycultures, effects on bare rock cover were altered by the presence of the other Scurria species, suggesting competition between Scurria species. Importantly, although the magnitude of S. viridula effects at the range overlap was reduced, its addition to the herbivore guild seems to complement and intensify the role of the guild in reducing green algal cover, species richness and increasing bare space provision. Our study thus highlights that range expansion of an herbivore can modify the functional guild structure in the recipient community. It also highlights the complexity of predicting how functional structure may change in the face of natural or human-induced range expansions. There is a need for more field-based examination of regional functional compensation, complementarity, or inhibition before we can construct a conceptual framework to anticipate the consequences of species range expansions.
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Affiliation(s)
- Moisés A Aguilera
- Departamento de Biología Marina, Facultad de Ciencias del Mar, Universidad Católica del Norte, Larrondo, 1281, Coquimbo, Chile.,Centro de Estudios Avanzados en Zonas Áridas (CEAZA), Ossandón 877, Coquimbo, Chile
| | - Nelson Valdivia
- Instituto de Ciencias Marinas y Limnológicas, Facultad de Ciencias, Universidad Austral de Chile, Campus Isla Teja, Valdivia, 5110236, Chile.,Centro FONDAP de Investigación de Dinámicas de Ecosistemas Marinos de Altas Latitudes (IDEAL), Chile
| | - Bernardo R Broitman
- Departamento de Ciencias Biológicas, Facultad de Artes Liberales, Universidad Adolfo Ibáñez, Viña de Mar, Chile
| | - Stuart R Jenkins
- School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey, LL59 5AB, UK
| | - Sergio A Navarrete
- Estación Costera de Investigaciones Marinas, Las Cruces, Center for Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Casilla 114-D, Santiago, Chile
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41
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Hanteer O, Magnani M. Unspoken Assumptions in Multi-layer Modularity maximization. Sci Rep 2020; 10:11053. [PMID: 32632217 PMCID: PMC7338500 DOI: 10.1038/s41598-020-66956-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 05/17/2020] [Indexed: 01/24/2023] Open
Abstract
A principled approach to recover communities in social networks is to find a clustering of the network nodes into modules (i.e groups of nodes) for which the modularity over the network is maximal. This guarantees partitioning the network nodes into sparsely connected groups of densely connected nodes. A popular extension of modularity has been proposed in the literature so it applies to multi-layer networks, that is, networks that model different types/aspects of interactions among a set of actors. In this extension, a new parameter, the coupling strength ω, has been introduced to couple different copies (i.e nodes) of the same actor with specific weights across different layers. This allows two nodes that refer to the same actor to reward the modularity score with an amount proportional to ω when they appear in the same community. While this extension seems to provide an effective tool to detect communities in multi-layer networks, it is not always clear what kind of communities maximising the generalised modularity can identify in multi-layer networks and whether these communities are inclusive to all possible community structures possible to exist in multi-layer networks. In addition, it has not been thoroughly investigated yet how to interpret ω in real-world scenarios, and whether a proper tuning of ω, if exists, is enough to guarantee an accurate recoverability for different types of multi-layer community structures. In this article, we report the different ways used in the literature to tune ω. We analyse different community structures that can be recovered by maximising the generalised modularity in relation to ω. We propose different models for multi-layer communities in multiplex and time-dependent networks and test if they are recoverable by modularity-maximization community detection methods under any assignment of ω. Our main finding is that only few simple models of multi-layer communities in multiplex and time-dependent networks are recoverable by modularity maximisation methods while more complex models are not accurately recoverable under any assignment of ω.
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Affiliation(s)
| | - Matteo Magnani
- InfoLab, Department of Information Technology, Uppsala University, Uppsala, Sweden.
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42
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Yeakel JD, Pires MM, de Aguiar MAM, O'Donnell JL, Guimarães PR, Gravel D, Gross T. Diverse interactions and ecosystem engineering can stabilize community assembly. Nat Commun 2020; 11:3307. [PMID: 32620766 PMCID: PMC7335095 DOI: 10.1038/s41467-020-17164-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 06/11/2020] [Indexed: 12/02/2022] Open
Abstract
The complexity of an ecological community can be distilled into a network, where diverse interactions connect species in a web of dependencies. Species interact directly with each other and indirectly through environmental effects, however to our knowledge the role of these ecosystem engineers has not been considered in ecological network models. Here we explore the dynamics of ecosystem assembly, where species colonization and extinction depends on the constraints imposed by trophic, service, and engineering dependencies. We show that our assembly model reproduces many key features of ecological systems, such as the role of generalists during assembly, realistic maximum trophic levels, and increased nestedness with mutualistic interactions. We find that ecosystem engineering has large and nonlinear effects on extinction rates. While small numbers of engineers reduce stability by increasing primary extinctions, larger numbers of engineers increase stability by reducing primary extinctions and extinction cascade magnitude. Our results suggest that ecological engineers may enhance community diversity while increasing persistence by facilitating colonization and limiting competitive exclusion.
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Affiliation(s)
- Justin D Yeakel
- University of California Merced, 5200 Lake Road, Merced, CA, 95343, USA.
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, USA.
| | - Mathias M Pires
- Universidade Estadual de Campinas, Cidade Universitária Zeferino Vaz-Barão Geraldo, Campinas, São Paulo, 13083-970, Brazil
| | - Marcus A M de Aguiar
- Universidade Estadual de Campinas, Cidade Universitária Zeferino Vaz-Barão Geraldo, Campinas, São Paulo, 13083-970, Brazil
| | | | - Paulo R Guimarães
- Universidade de São Paulo, Cidade Universitária, São Paulo-State of São Paulo, São Paulo, Brazil
| | - Dominique Gravel
- Universitè de Sherbrooke, 2500 Boulevard de l'Université, Sherbrooke, QC, J1K 2R1, Canada
| | - Thilo Gross
- University of California, Davis, CA, 95616, USA
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Oldenburg, Germany
- Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Ammerländer Heerstrasse 231, 26129, Oldenburg, Germany
- University of Oldenburg, ICBM, 26129, Oldenburg, Germany
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43
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Martinez ND. Allometric Trophic Networks From Individuals to Socio-Ecosystems: Consumer–Resource Theory of the Ecological Elephant in the Room. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00092] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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Gysi DM, Nowick K. Construction, comparison and evolution of networks in life sciences and other disciplines. J R Soc Interface 2020; 17:20190610. [PMID: 32370689 PMCID: PMC7276545 DOI: 10.1098/rsif.2019.0610] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 04/09/2020] [Indexed: 12/12/2022] Open
Abstract
Network approaches have become pervasive in many research fields. They allow for a more comprehensive understanding of complex relationships between entities as well as their group-level properties and dynamics. Many networks change over time, be it within seconds or millions of years, depending on the nature of the network. Our focus will be on comparative network analyses in life sciences, where deciphering temporal network changes is a core interest of molecular, ecological, neuropsychological and evolutionary biologists. Further, we will take a journey through different disciplines, such as social sciences, finance and computational gastronomy, to present commonalities and differences in how networks change and can be analysed. Finally, we envision how borrowing ideas from these disciplines could enrich the future of life science research.
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Affiliation(s)
- Deisy Morselli Gysi
- Department of Computer Science, Interdisciplinary Center of Bioinformatics, University of Leipzig, 04109 Leipzig, Germany
- Swarm Intelligence and Complex Systems Group, Faculty of Mathematics and Computer Science, University of Leipzig, 04109 Leipzig, Germany
- Center for Complex Networks Research, Northeastern University, 177 Huntington Avenue, Boston, MA 02115, USA
| | - Katja Nowick
- Human Biology Group, Institute for Biology, Faculty of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Königin-Luise-Straβe 1-3, 14195 Berlin, Germany
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Hale KRS, Valdovinos FS, Martinez ND. Mutualism increases diversity, stability, and function of multiplex networks that integrate pollinators into food webs. Nat Commun 2020; 11:2182. [PMID: 32358490 PMCID: PMC7195475 DOI: 10.1038/s41467-020-15688-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 03/19/2020] [Indexed: 01/10/2023] Open
Abstract
Ecosystems are composed of complex networks of many species interacting in different ways. While ecologists have long studied food webs of feeding interactions, recent studies increasingly focus on mutualistic networks including plants that exchange food for reproductive services provided by animals such as pollinators. Here, we synthesize both types of consumer-resource interactions to better understand the controversial effects of mutualism on ecosystems at the species, guild, and whole-community levels. We find that consumer-resource mechanisms underlying plant-pollinator mutualisms can increase persistence, productivity, abundance, and temporal stability of both mutualists and non-mutualists in food webs. These effects strongly increase with floral reward productivity and are qualitatively robust to variation in the prevalence of mutualism and pollinators feeding upon resources in addition to rewards. This work advances the ability of mechanistic network theory to synthesize different types of interactions and illustrates how mutualism can enhance the diversity, stability, and function of complex ecosystems.
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Affiliation(s)
- Kayla R S Hale
- Department of Ecology and Evolutionary Biology, University of Michigan, 1105 North University Ave, Biological Sciences Building, Ann Arbor, MI, 48109, USA.
| | - Fernanda S Valdovinos
- Department of Ecology and Evolutionary Biology, University of Michigan, 1105 North University Ave, Biological Sciences Building, Ann Arbor, MI, 48109, USA
- Center for the Study of Complex Systems, University of Michigan, Weiser Hall Suite 700, 500 Church St, Ann Arbor, MI, 48109, USA
| | - Neo D Martinez
- School of Informatics, Computing, and Engineering, Indiana University, Room 302, 919 E. 10th Street, Bloomington, IN, 47408, USA
- Pacific Ecoinformatics and Computational Ecology Lab, Berkeley, CA, 94703, USA
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Miele V, Ramos‐Jiliberto R, Vázquez DP. Core–periphery dynamics in a plant–pollinator network. J Anim Ecol 2020; 89:1670-1677. [DOI: 10.1111/1365-2656.13217] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 02/09/2020] [Indexed: 01/08/2023]
Affiliation(s)
- Vincent Miele
- Laboratoire de Biométrie et Biologie Évolutive Université Lyon 1CNRSUMR5558 Villeurbanne France
| | - Rodrigo Ramos‐Jiliberto
- GEMA Center for Genomics, Ecology & Environment Faculty of Interdisciplinary Studies Universidad Mayor Huechuraba Santiago Chile
| | - Diego P. Vázquez
- Argentine Institute for Dryland Research CONICET Mendoza Argentina
- Freiburg Institute for Advanced Studies University of Freiburg Freiburg im Breisgau Germany
- Faculty of Exact and Natural Sciences National University of Cuyo Mendoza Argentina
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47
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Terry JCD, Lewis OT. Finding missing links in interaction networks. Ecology 2020; 101:e03047. [PMID: 32219855 DOI: 10.1002/ecy.3047] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 02/05/2020] [Accepted: 02/24/2020] [Indexed: 12/22/2022]
Abstract
Documenting which species interact within ecological communities is challenging and labor intensive. As a result, many interactions remain unrecorded, potentially distorting our understanding of network structure and dynamics. We test the utility of four structural models and a new coverage-deficit model for predicting missing links in both simulated and empirical bipartite networks. We find they can perform well, although the predictive power of structural models varies with the underlying network structure. The accuracy of predictions can be improved by ensembling multiple models. Augmenting observed networks with most-likely missing links improves estimates of qualitative network metrics. Tools to identify likely missing links can be simple to implement, allowing the prioritization of research effort and more robust assessment of network properties.
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Affiliation(s)
| | - Owen T Lewis
- Department of Zoology, University of Oxford, Oxford, OX1 3PS, United Kingdom
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48
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Aubier TG, Elias M. Positive and negative interactions jointly determine the structure of Müllerian mimetic communities. OIKOS 2020. [DOI: 10.1111/oik.06789] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Thomas G. Aubier
- Centre d'Ecologie Fonctionnelle et Evolutive, CEFE – UMR 5175 – CNRS, Univ. de Montpellier, EPHE, Univ. Paul Valéry 1919 route de Mende FR‐34293 Montpellier 5 France
- Dept of Evolutionary Biology and Environmental Studies, Univ. of Zurich Zurich Switzerland
| | - Marianne Elias
- Inst. de Systématique, Evolution, Biodiversité, ISYEB ‐ UMR 7205 ‐ Mus. Natl d'Hist. Nat., CNRS, Sorbonne Univ., EPHE, Univ. des Antilles Paris France
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49
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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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50
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Affiliation(s)
- Vincent Miele
- Université de Lyon, F-69000 Lyon, Université Lyon 1, CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France
| | - Catherine Matias
- Laboratoire de Probabilités, Statistique et Modélisation, Centre National de la Recherche Scientifique, Sorbonne Université et Université de Paris, Paris, France
| | - Stéphane Robin
- UMR MIA-Paris, AgroParisTech, INRA, Université Paris-Saclay, Paris, France
| | - Stéphane Dray
- Université de Lyon, F-69000 Lyon, Université Lyon 1, CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, Villeurbanne, France
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