Model-aided learning for adaptive management of natural resources: an evolutionary design perspective

Research output: Contribution to journalArticleAcademicpeer-review

48 Citations (Scopus)

Abstract

1. Researchers using the adaptive management paradigm consider learning about the behaviour of social-ecological systems as an inherent element of endeavours to improve the provision of ecosystem services. Learning-by-experience about social-ecological systems is a slow process attributable to system complexity. We review recent developments in systems modelling which support learning by creating a salient diversity of management alternatives and by translating science-based results into stakeholder perspectives. 2. Design-oriented learning cycles aimed at developing ecosystem services could be improved using systematic model-based diversification and selection of natural resource management alternatives. 3. Recent advances in spatially explicit computer-based ecological modelling and in visualization of results can effectively support repeated learning cycles. 4. Prioritization and weighing of conservation objectives and ecosystem services should be postponed until after the exploration of the synergies and trade-offs among objectives. 5. Investigating whether this evolutionary design approach can increase adoption of management adjustments and help to avoid lock-in onto unsustainable development trajectories should be part of efforts to understand the way we learn
Original languageEnglish
Pages (from-to)643-650
JournalMethods in Ecology and Evolution
Volume2
Issue number6
DOIs
Publication statusPublished - 2011

Keywords

  • social-ecological systems
  • self-determination theory
  • ecosystem services
  • decision-making
  • nature conservation
  • trade-offs
  • landscape
  • sustainability
  • agriculture
  • quality

Fingerprint Dive into the research topics of 'Model-aided learning for adaptive management of natural resources: an evolutionary design perspective'. Together they form a unique fingerprint.

Cite this