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

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

doi:10.1371/journal.pone.0230495

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

2020
By Cheng, Samantha H. ; McKinnon, Madeleine C. ; Masuda, Yuta J. ; ...
Source: PLOS ONE, 15, 3, e0230495

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PLOS ONE
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Cheng, Samantha H. ; McKinnon, Madeleine C. ; Masuda, Yuta J. ; Garside, Ruth ; Jones, Kelly W. ; ... More +

Cheng, Samantha H. ; McKinnon, Madeleine C. ; Masuda, Yuta J. ; Garside, Ruth ; Jones, Kelly W. ; Miller, Daniel C. ; Pullin, Andrew S. ; Sutherland, William J. ; Augustin, Caitlin ; Gill, David A. ; Wongbusarakum, Supin ; Wilkie, David Less -
NOAA Program & Office:

JIMAR (Joint Institute for Marine and Atmospheric Research) ; NMFS (National Marine Fisheries Service) ; PIFSC (Pacific Islands Fisheries Science Center)

JIMAR (Joint Institute for Marine and Atmospheric Research) ; NMFS (National Marine Fisheries Service) ; PIFSC (Pacific Islands Fisheries Science Center) Less -
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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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Conservation
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PLOS ONE, 15, 3, e0230495
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https://doi.org/10.1371/journal.pone.0230495
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urn:sha256:2d35e698e23916163e55a411f6dfd787b49b4a13c2964c9ac6a7462e25c194d9
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Strengthen causal models for better conservation outcomes for human well-being

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