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International Journal of Ecology
Volume 2015, Article ID 787925, 6 pages
Research Article

System Behaviour Charts Inform an Understanding of Biodiversity Recovery

1Durrell Institute for Conservation and Ecology, University of Kent, Canterbury CT2 7NZ, UK
2Durrell Conservation Academy, Durrell Wildlife Conservation Trust, Trinity, Jersey, Channel Islands, UK

Received 14 July 2015; Accepted 8 October 2015

Academic Editor: Béla Tóthmérész

Copyright © 2015 Simon A. Black. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Simon A. Black, “The Challenges and Relevance of Exploring the Genetics of North Africa’s “Barbary Lion” and the Conservation of Putative Descendants in Captivity,” International Journal of Evolutionary Biology, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Emmanuel Andrew Sweke, Julius Michael Assam, Abdillahi Ismail Chande, Athanasio Stephano Mbonde, Magnus Mosha, and Abel Mtui, “Comparing the Performance of Protected and Unprotected Areas in Conserving Freshwater Fish Abundance and Biodiversity in Lake Tanganyika, Tanzania,” International Journal of Ecology, vol. 2016, pp. 1–7, 2016. View at Publisher · View at Google Scholar
  • Emily Stebbings, Jamieson Copsey, Vikash Tatayah, Simon A. Black, Nicolas Zuël, and Christelle Ferriere, “Applying Systems Thinking and Logic Models to Evaluate Effectiveness in Wildlife Conservation,” Open Journal of Leadership, vol. 05, no. 03, pp. 70–83, 2016. View at Publisher · View at Google Scholar
  • Francesco Rovero, and Jorge Ahumada, “The Tropical Ecology, Assessment and Monitoring (TEAM) Network: An early warning system for tropical rain forests,” Science of The Total Environment, vol. 574, pp. 914–923, 2017. View at Publisher · View at Google Scholar