Adaptive Governance to Manage Human Mobility and Natural Resource Stress

Ali, Saleem H., Clifford, Martin, Kniveton, Dominic, Zickgraf, Caroline and Ayeb-Karlsson, Sonja, "Adaptive Governance to Manage Human Mobility and Natural Resource Stress" in Elements in Earth System Governance (Cambridge: Cambridge University Press, 2022), n/a-n/a.

Document type:
Book Chapter

  • Author Ali, Saleem H.
    Clifford, Martin
    Kniveton, Dominic
    Zickgraf, Caroline
    Ayeb-Karlsson, Sonja
    Chapter Title Adaptive Governance to Manage Human Mobility and Natural Resource Stress
    Book Title Elements in Earth System Governance
    Publication Date 2022
    Place of Publication Cambridge
    Publisher Cambridge University Press
    Start page n/a
    End page n/a
    Language eng
    Abstract Connections between resources and migration operate as a complex adaptive system rather than being premised in linear, causal mechanisms. The systems thinking advocated within this Element increases the inclusion of socio-psychological, financial, demographic, environmental and political dimensions that mediate resource-(im)mobility pathways. The Earth Systems Governance paradigm provides a way to manage global migration flows more effectively, allowing for consideration of networks and interdependencies in addition to its inherent adaptiveness. Resource rushes, hydropower displacement, and climate-induced retreat from coastal areas are all examples of circumstances linking resources and human mobility. Movement can also ameliorate environmental conditions and hence close monitoring of impacts and policies which harness benefits of migration is advocated. Green remittance bonds, and land tenure policies favoring better arable resource usage are key ingredients of a more systems-oriented approach to managing mobility. The Global Compact on Migration offers an opportunity to operationalize such adaptive governance approaches in the Anthropocene.
    Copyright Holder The Authors
    Copyright Year 2022
    Copyright type Creative commons
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 323 Abstract Views  -  Detailed Statistics
    Created: Sat, 07 Jan 2023, 01:29:43 JST by Aarti Basnyat on behalf of UNU EHS