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Updated: Jun 26, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Using Social Networks and Model Simulations of Social Disruption to Identify Alternative Translocation Strategies for
Enzo M R Reyes1, Adam N H Smith2, Christian Sevilla3
1Ecology and Conservation Lab, School of Natural and Computational Sciences, Massey University, Private Bag 102-904 North Shore Mail Centre, Auckland 0632, New Zealand.
Abstract:
(1) The importance of social structure and dominance hierarchies in cooperative-breeding species is well-documented, yet the inclusion of these processes in conservation translocation planning remains limited. Here, we empirically measured the social networks of three populations of the endangered Floreana Mockingbird, then used model simulations of different translocation scenarios to test the effects of social disruption on the social networks. (2) We used social network analysis and Exponential Random Graph Models (ERGMs) to characterise dominance hierarchies, group structure, and the consequences of selectively removing individuals from family groups. (3) Dominance hierarchies were strongly transitive, with age emerging as the primary determinant of dominance relationships. Simulated removals demonstrated that the loss of individuals occupying different network positions produced variable levels of social disruption. (4) Although age is the principal driver of antagonistic interactions, network properties such as high betweenness centrality and the presence of a broker (individuals that occupy a strategic position) are also critical considerations for translocation design. Incorporating social network structure into management strategies can minimise group disruption and enhance the success of conservation translocations for endangered cooperative breeders.
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