Adaptive management: A tool for conservation practitioners

By N. Salafsky, R. Margoluis, K. Redford. 2001

258 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f91400cfbbe29b5cb32b64101f59ffb8a25d46e3

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Citations in the corpus

Using Bayesian belief networks in adaptive management (2006, background): “Modelling is often not used effectively, which can limit AM teams’ understanding of system structure, relations, and potential responses to management (Walters 1997; Salafsky et al. 2001; Gray 2002).”
Roles of Raptors in a Changing World: From Flagships to Providers of Key Ecosystem Services (2016, methodology): “In relation to adaptive management (Salafsky et al., 2001), the accurate knowledge of the ecology and threats of birds of prey (table 2) in comparison to other taxa has been widely used as a tool for updating the assessment”
Are We Conserving What We Say We Are? Measuring Ecological Integrity within Protected Areas (2003, background): “…progress, to learn through adaptive management, and to hold organizations accountable for conservation has led to a growing skepticism among policymakers and funding agencies about the long-term value of these conservation efforts (Senge 1994, Salafsky and Margoluis 1999a, Salafsky et al. 2001).”
Monitoring and Evaluation in Conservation: a Review of Trends and Approaches (2005, unknown): “Adaptive management is an iterative process that involves the integration of project design, management, and monitoring to systematically examine interventions to adapt and learn (Salafsky et al. 2001).”
Adaptive management of natural resources--framework and issues. (2011, background): “The broader context of learning that recognizes uncertainty about these elements as well as technical uncertainty is sometimes called “double-loop” learning (Argyris and Shon, 1978; Salafsky et al., 2001).”
Improving the Practice of Conservation: a Conceptual Framework and Research Agenda for Conservation Science (2002, background): “Over the past few decades, different fields dealing with complex systems have developed convergent approaches for deciding how to take action in the face of risk and uncertainty (Salafsky et al. 2001).”
Rapid Assessment of Protected Area Management Effectiveness in Four Countries (2003, unknown): “…data and research means that September 2003 / Vol. 53 No. 9 • BioScience 839 protected area staff are unlikely to be able to test their assumptions, adapt their strategies, learn from their mistakes, or share their lessons—the hallmarks of effective, adaptive management (Salafsky et al. 2001).”