Literature DB >> 28648805

Animal Social Network Theory Can Help Wildlife Conservation.

Lysanne Snijders1, Daniel T Blumstein2, Christina R Stanley3, Daniel W Franks4.   

Abstract

Many animals preferentially associate with certain other individuals. This social structuring can influence how populations respond to changes to their environment, thus making network analysis a promising technique for understanding, predicting, and potentially manipulating population dynamics. Various network statistics can correlate with individual fitness components and key population-level processes, yet the logical role and formal application of animal social network theory for conservation and management have not been well articulated. We outline how understanding of direct and indirect relationships between animals can be profitably applied by wildlife managers and conservationists. By doing so, we aim to stimulate the development and implementation of practical tools for wildlife conservation and management and to inspire novel behavioral research in this field.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  animal social network analysis; behavior-based management; conservation biology; social connectivity; wildlife management

Mesh:

Year:  2017        PMID: 28648805     DOI: 10.1016/j.tree.2017.05.005

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  21 in total

1.  Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation.

Authors:  Jakob Bro-Jørgensen; Daniel W Franks; Kristine Meise
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-29       Impact factor: 6.237

Review 2.  Direct and indirect effects of chemical contaminants on the behaviour, ecology and evolution of wildlife.

Authors:  Minna Saaristo; Tomas Brodin; Sigal Balshine; Michael G Bertram; Bryan W Brooks; Sean M Ehlman; Erin S McCallum; Andrew Sih; Josefin Sundin; Bob B M Wong; Kathryn E Arnold
Journal:  Proc Biol Sci       Date:  2018-08-22       Impact factor: 5.349

3.  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

4.  Understanding Temporal Social Dynamics in Zoo Animal Management: An Elephant Case Study.

Authors:  Ellen Williams; Samantha Bremner-Harrison; Carol Hall; Anne Carter
Journal:  Animals (Basel)       Date:  2020-05-19       Impact factor: 2.752

5.  Intermediary organisations in collaborative environmental governance: evidence of the EU-funded LIFE sub-programme for the environment (LIFE-ENV).

Authors:  Elena Pisani; Elena Andriollo; Mauro Masiero; Laura Secco
Journal:  Heliyon       Date:  2020-07-16

6.  Alarm communication networks as a driver of community structure in African savannah herbivores.

Authors:  Kristine Meise; Daniel W Franks; Jakob Bro-Jørgensen
Journal:  Ecol Lett       Date:  2019-11-27       Impact factor: 9.492

7.  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

8.  An interaction mechanism for the maintenance of fission-fusion dynamics under different individual densities.

Authors:  David Bierbach; Stefan Krause; Pawel Romanczuk; Juliane Lukas; Lenin Arias-Rodriguez; Jens Krause
Journal:  PeerJ       Date:  2020-05-14       Impact factor: 2.984

9.  Habitat use and social mixing between groups of resident and augmented bighorn sheep.

Authors:  Rusty W Robinson; Jericho C Whiting; Justin M Shannon; Daniel D Olson; Jerran T Flinders; Tom S Smith; R Terry Bowyer
Journal:  Sci Rep       Date:  2019-10-18       Impact factor: 4.379

10.  Decrease in social cohesion in a colonial seabird under a perturbation regime.

Authors:  M Genovart; O Gimenez; A Bertolero; R Choquet; D Oro; R Pradel
Journal:  Sci Rep       Date:  2020-10-30       Impact factor: 4.379

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