Literature DB >> 28812678

The multilayer nature of ecological networks.

Shai Pilosof1, Mason A Porter2,3,4, Mercedes Pascual1,5, Sonia Kéfi6.   

Abstract

Although networks provide a powerful approach to study a large variety of ecological systems, their formulation does not typically account for multiple interaction types, interactions that vary in space and time, and interconnected systems such as networks of networks. The emergent field of 'multilayer networks' provides a natural framework for extending analyses of ecological systems to include such multiple layers of complexity, as it specifically allows one to differentiate and model 'intralayer' and 'interlayer' connectivity. The framework provides a set of concepts and tools that can be adapted and applied to ecology, facilitating research on high-dimensional, heterogeneous systems in nature. Here, we formally define ecological multilayer networks based on a review of previous, related approaches; illustrate their application and potential with analyses of existing data; and discuss limitations, challenges, and future applications. The integration of multilayer network theory into ecology offers largely untapped potential to investigate ecological complexity and provide new theoretical and empirical insights into the architecture and dynamics of ecological systems.

Year:  2017        PMID: 28812678     DOI: 10.1038/s41559-017-0101

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  54 in total

1.  A tensor-based framework for studying eigenvector multicentrality in multilayer networks.

Authors:  Mincheng Wu; Shibo He; Yongtao Zhang; Jiming Chen; Youxian Sun; Yang-Yu Liu; Junshan Zhang; H Vincent Poor
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-17       Impact factor: 11.205

2.  Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.

Authors:  G L Chaters; P C D Johnson; S Cleaveland; J Crispell; W A de Glanville; T Doherty; L Matthews; S Mohr; O M Nyasebwa; G Rossi; L C M Salvador; E Swai; R R Kao
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

3.  Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities.

Authors:  Marinka Zitnik; Francis Nguyen; Bo Wang; Jure Leskovec; Anna Goldenberg; Michael M Hoffman
Journal:  Inf Fusion       Date:  2018-09-21       Impact factor: 12.975

Review 4.  Connectivity and complex systems: learning from a multi-disciplinary perspective.

Authors:  Laura Turnbull; Marc-Thorsten Hütt; Andreas A Ioannides; Stuart Kininmonth; Ronald Poeppl; Klement Tockner; Louise J Bracken; Saskia Keesstra; Lichan Liu; Rens Masselink; Anthony J Parsons
Journal:  Appl Netw Sci       Date:  2018-06-18

Review 5.  Primate microbiomes over time: Longitudinal answers to standing questions in microbiome research.

Authors:  Johannes R Björk; Mauna Dasari; Laura Grieneisen; Elizabeth A Archie
Journal:  Am J Primatol       Date:  2019-04-02       Impact factor: 2.371

6.  The use of multilayer network analysis in animal behaviour.

Authors:  Kelly R Finn; Matthew J Silk; Mason A Porter; Noa Pinter-Wollman
Journal:  Anim Behav       Date:  2019-02-05       Impact factor: 2.844

7.  Universal behavior of cascading failures in interdependent networks.

Authors:  Dongli Duan; Changchun Lv; Shubin Si; Zhen Wang; Daqing Li; Jianxi Gao; Shlomo Havlin; H Eugene Stanley; Stefano Boccaletti
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-17       Impact factor: 11.205

8.  Predicting collapse of complex ecological systems: quantifying the stability-complexity continuum.

Authors:  Susanne Pettersson; Van M Savage; Martin Nilsson Jacobi
Journal:  J R Soc Interface       Date:  2020-05-13       Impact factor: 4.118

9.  Ecological multiplex interactions determine the role of species for parasite spread amplification.

Authors:  Massimo Stella; Sanja Selakovic; Alberto Antonioni; Cecilia S Andreazzi
Journal:  Elife       Date:  2018-04-23       Impact factor: 8.140

10.  Effect of Inter-layer Coupling on Multilayer Network Centrality Measures.

Authors:  Tarun Kumar; Manikandan Narayanan; Balaraman Ravindran
Journal:  J Indian Inst Sci       Date:  2019-06
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