Literature DB >> 30232156

The ecology of movement and behaviour: a saturated tripartite network for describing animal contacts.

Kezia Manlove1,2, Christina Aiello3,4, Pratha Sah5, Bree Cummins6, Peter J Hudson7, Paul C Cross8.   

Abstract

Ecologists regularly use animal contact networks to describe interactions underlying pathogen transmission, gene flow, and information transfer. However, empirical descriptions of contact often overlook some features of individual movement, and decisions about what kind of network to use in a particular setting are commonly ad hoc Here, we relate individual movement trajectories to contact networks through a tripartite network model of individual, space, and time nodes. Most networks used in animal contact studies (e.g. individual association networks, home range overlap networks, and spatial networks) are simplifications of this tripartite model. The tripartite structure can incorporate a broad suite of alternative ecological metrics like home range sizes and patch occupancy patterns into inferences about contact network metrics such as modularity and degree distribution. We demonstrate the model's utility with two simulation studies using alternative forms of ecological data to constrain the tripartite network's structure and inform expectations about the harder-to-measure metrics related to contact.
© 2018 The Author(s).

Keywords:  Lagrangian movement; contact network; network projection; pathogen transmission; tripartite tagging network

Mesh:

Year:  2018        PMID: 30232156      PMCID: PMC6170809          DOI: 10.1098/rspb.2018.0670

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  22 in total

1.  Infectious disease and group size: more than just a numbers game.

Authors:  Charles L Nunn; Ferenc Jordán; Collin M McCabe; Jennifer L Verdolin; Jennifer H Fewell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-26       Impact factor: 6.237

2.  Susceptible-infected-recovered epidemics in dynamic contact networks.

Authors:  Erik Volz; Lauren Ancel Meyers
Journal:  Proc Biol Sci       Date:  2007-12-07       Impact factor: 5.349

3.  A method for testing association patterns of social animals.

Authors: 
Journal:  Anim Behav       Date:  1998-09       Impact factor: 2.844

4.  Factors contributing to non-randomness in species Co-occurrences on Islands.

Authors:  Michael E Gilpin; Jared M Diamond
Journal:  Oecologia       Date:  1982-01       Impact factor: 3.225

5.  Sampling of temporal networks: Methods and biases.

Authors:  Luis E C Rocha; Naoki Masuda; Petter Holme
Journal:  Phys Rev E       Date:  2017-11-01       Impact factor: 2.529

6.  Refuge sharing network predicts ectoparasite load in a lizard.

Authors:  Stephan T Leu; Peter M Kappeler; C Michael Bull
Journal:  Behav Ecol Sociobiol       Date:  2010-05-21       Impact factor: 2.980

7.  Parasite invasion following host reintroduction: a case study of Yellowstone's wolves.

Authors:  Emily S Almberg; Paul C Cross; Andrew P Dobson; Douglas W Smith; Peter J Hudson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-10-19       Impact factor: 6.237

8.  Consistent individual differences in the social phenotypes of wild great tits, Parus major.

Authors:  L M Aplin; J A Firth; D R Farine; B Voelkl; R A Crates; A Culina; C J Garroway; C A Hinde; L R Kidd; I Psorakis; N D Milligan; R Radersma; B L Verhelst; B C Sheldon
Journal:  Anim Behav       Date:  2015-10       Impact factor: 2.844

9.  Measuring site fidelity and spatial segregation within animal societies.

Authors:  Thomas O Richardson; Luca Giuggioli; Nigel R Franks; Ana B Sendova-Franks
Journal:  Methods Ecol Evol       Date:  2017-03-20       Impact factor: 7.781

10.  A guide to null models for animal social network analysis.

Authors:  Damien R Farine
Journal:  Methods Ecol Evol       Date:  2017-04-12       Impact factor: 7.781

View more
  6 in total

Review 1.  Behavioural ecology and infectious disease: implications for conservation of biodiversity.

Authors:  James Herrera; Charles L Nunn
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-29       Impact factor: 6.237

2.  Social structure defines spatial transmission of African swine fever in wild boar.

Authors:  Kim M Pepin; Andrew Golnar; Tomasz Podgórski
Journal:  J R Soc Interface       Date:  2021-01-20       Impact factor: 4.118

3.  Negative density-dependent parasitism in a group-living carnivore.

Authors:  Gregory F Albery; Chris Newman; Julius Bright Ross; David W MacDonald; Shweta Bansal; Christina Buesching
Journal:  Proc Biol Sci       Date:  2020-12-16       Impact factor: 5.349

4.  Distribution of Node Characteristics in Evolving Tripartite Network.

Authors:  Ladislav Beranek; Radim Remes
Journal:  Entropy (Basel)       Date:  2020-02-25       Impact factor: 2.524

5.  Construct social-behavioral association network to study management impact on waterbirds community ecology using digital video recording cameras.

Authors:  Muhammad Awais Rasool; Xiaobo Zhang; Muhammad Azher Hassan; Tanveer Hussain; Cai Lu; Qing Zeng; Boyong Peng; Li Wen; Guangchun Lei
Journal:  Ecol Evol       Date:  2021-02-01       Impact factor: 2.912

6.  Comparing transmission potential networks based on social network surveys, close contacts and environmental overlap in rural Madagascar.

Authors:  Kayla Kauffman; Courtney S Werner; Georgia Titcomb; Michelle Pender; Jean Yves Rabezara; James P Herrera; Julie Teresa Shapiro; Alma Solis; Voahangy Soarimalala; Pablo Tortosa; Randall Kramer; James Moody; Peter J Mucha; Charles Nunn
Journal:  J R Soc Interface       Date:  2022-01-12       Impact factor: 4.118

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.