Strengthen causal models for better conservation outcomes for human well-being

Peer Reviewed
20 March 2020

Samantha H. Cheng, Madeleine C. McKinnon, Yuta J. Masuda, Ruth Garside, Kelly W. Jones, Daniel C. Miller, Andrew S. Pullin, William J. Sutherland, Caitlin Augustin, David A. Gill, Supin Wongbusarakum, David Wilkie

Understanding how the conservation of nature can lead to improvement in human conditions is a research area with significant growth and attention. Progress towards effective conservation requires understanding mechanisms for achieving impact within complex social-ecological systems. Causal models are useful tools for defining plausible pathways from conservation actions to impacts on nature and people. Evaluating the potential of different strategies for delivering co-benefits for nature and people will require the use and testing of clear causal models that explicitly define the logic and assumptions behind cause and effect relationships

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Cheng, S. H., McKinnon, M. C., Masuda, Y. J., Garside, R., Jones, K. W., Miller, D. C., … Wilkie, D. (2020). Strengthen causal models for better conservation outcomes for human well-being. PLOS ONE, 15(3), e0230495. doi:10.1371/journal.pone.0230495

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Publication | 28 June 2020