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Strengths and vulnerabilities of Australian networks for conservation of threatened birds

  • Tim Q. Holmes (a1), Brian W. Head (a2), Hugh P. Possingham (a1) and Stephen T. Garnett (a3)

We analysed the supportive social networks associated with the conservation of six threatened Australian bird taxa, in one of the first network analyses of threatened species conservation programmes. Each example showed contrasting vulnerabilities. The Alligator Rivers yellow chat Epthianura crocea tunneyi had the smallest social network and no real action was supported. For the Capricorn yellow chat Epthianura crocea macgregori the network was centred on one knowledgeable and committed actor. The orange-bellied parrot Neophema chrysogaster had a strongly connected recovery team but gaps in the overall network could limit communication. The recovery teams for the swift parrot Lathamus discolor and Baudin's black-cockatoo Calyptorhynchus baudinii had strong links among most stakeholders but had weak ties to the timber industry and orchardists, respectively, limiting their capacity to manage threatening processes. Carnaby's black cockatoo Calyptorhynchus latirostris seemed to have the most effective social network of any of the taxa studied but may be vulnerable to skill shortages. In each case the network analysis pointed to gaps that could be filled to enhance the conservation effort, and highlighted the importance of recovery teams. The research suggests that formal network analysis could assist in the design of more effective support mechanisms for the conservation of threatened species.

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S.M. Alexander , D. Armitage & A. Charles (2015) Social networks and transitions to co-management in Jamaican marine reserves and small-scale fisheries. Global Environmental Change, 35, 213225.

Ö. Bodin & B.I. Crona (2009) The role of social networks in natural resource governance: what relational patterns make a difference? Global Environmental Change, 19, 366374.

M.C. Bottrill , J.C. Walsh , J.E.M. Watson , L.N. Joseph , A. Ortega-Argueta & H.P. Possingham (2011) Does recovery planning improve the status of threatened species? Biological Conservation, 144, 15951601.

N.A. Campbell & D.A. Saunders (1976) Morphological variation in the white-tailed black cockatoo, Calyptorhynchus baudinii, in Western Australia: a multivariate approach. Australian Journal of Zoology, 24, 589595.

J. Chilvers & J. Evans (2009) Understanding networks at the science–policy interface. Geoforum, 40, 355362.

J.H. Fowler & N.A. Christakis (2008) Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study. British Medical Journal, 337, a2338.

J. Holland (2007) Tools for Institutional, Political, and Social Analysis of Policy Reform: A Sourcebook for Development Practitioners. The World Bank, Washington, DC, USA.

P. Jepson , M. Marua & M. Buckingham (2011) What is a conservation actor? Conservation and Society, 9, 229235.

A. Keast (1958) The relationship between seasonal movements and the development of geographic variation in the Australian Chats, (Epthianura Gould and Ashbyia North (Passeres: Muscicapidae, Malurinae)). Australian Journal of Zoology, 6, 5368.

G. Kossinets (2006) Effects of missing data in social networks. Social Networks, 28, 247268.

A. Lukasiewicz , P. Davidson , G.J. Syme & K.H. Bowmer (2013) How the social construction of the environment affects people's reactions to water policy. Australasian Journal of Environmental Management, 20, 179192.

M. Mills , J.G. Álvarez-Romero , K. Vance-Borland , P. Cohen , R.L. Pressey , A.M. Guerrero & H. Ernstson (2014) Linking regional planning and local action: towards using social network analysis in systematic conservation planning. Biological Conservation, 169, 613.

E. Otte & R. Rousseau (2002) Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28, 441453.

C. Prell , K. Hubacek & M. Reed (2009) Stakeholder analysis and social network analysis in natural resource management. Society & Natural Resources, 22, 501518.

M.S. Reed , A. Graves , N. Dandy , H. Posthumus , K. Hubacek , J. Morris (2009) Who's in and why? A typology of stakeholder analysis methods for natural resource management. Journal of Environmental Management, 90, 19331949.

D.A. Saunders (1979) The availability of tree hollows for use as nest sites by white-tailed black cockatoos. Wildlife Research, 6, 205216.

J. Scott (2011) Social network analysis: developments, advances, and prospects. SOCNET, 1, 2126.

D. Stojanovic , M.H. Webb , R. Alderman , L.L. Porfirio & R. Heinsohn (2014) Discovery of a novel predator reveals extreme but highly variable mortality for an endangered migratory bird. Diversity and Distributions, 20, 12001207.

G. Stoker (1998) Governance as theory: five propositions. International Social Science Journal, 50, 1728.

S. Wasserman & K. Faust (1994) Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge, UK.

T. Wey , D.T. Blumstein , W. Shen & F. Jordán (2008) Social network analysis of animal behaviour: a promising tool for the study of sociality. Animal Behaviour, 75, 333344.

E. Woodward (2008) Social networking for Aboriginal land management in remote northern Australia. Australasian Journal of Environmental Management, 15, 241252.

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