Promoting equity in the use of algorithms for high-seas conservation

[1]  C. Boettiger,et al.  Algorithmic conservation in a changing climate , 2021 .

[2]  B. Halpern,et al.  Protecting the global ocean for biodiversity, food and climate , 2021, Nature.

[3]  E. Sala,et al.  Who is the high seas fishing industry? , 2020 .

[4]  T. White,et al.  Data-driven approach for highlighting priority areas for protection in marine areas beyond national jurisdiction , 2020, Marine Policy.

[5]  Steven M Gray,et al.  Perception and Conflict in Conservation: The Rashomon Effect , 2020 .

[6]  E. Sala,et al.  A global network of marine protected areas for food , 2020, Proceedings of the National Academy of Sciences.

[7]  E. Hviding,et al.  Traditional knowledge and the BBNJ instrument , 2020, Marine Policy.

[8]  Maycira Costa,et al.  Addressing distribution equity in spatial conservation prioritization for small-scale fisheries , 2020, PloS one.

[9]  D. Mcgregor,et al.  Including Indigenous Knowledge Systems in Environmental Assessments: Restructuring the Process , 2019, Global Environmental Politics.

[10]  A. Yool,et al.  Ecological connectivity between the areas beyond national jurisdiction and coastal waters: Safeguarding interests of coastal communities in developing countries , 2019, Marine Policy.

[11]  V. Schatz Incorporation of Indigenous and Local Knowledge in Central Arctic Ocean Fisheries Management , 2019, Arctic Review on Law and Politics.

[12]  Tara L. Teel,et al.  Conservation social science: Understanding and integrating human dimensions to improve conservation , 2018 .