A visual analytics framework for conservation planning optimization

Rui Zhang, Yafeng Lu, Katherine Adams, Jorge A. Sefair, Haley Mellin, Miguel A. Acevedo, Ross Maciejewski

Research output: Contribution to journalArticlepeer-review

Abstract

Approximately 15% of global land is currently in some state of protection. Recent conservation research suggests the need for a drastic increase of protected lands by 2050. In order to reach this target, an additional 35% of lands need to be conserved or restored in a cost-effective and time-efficient manner in order to support the resiliency of our planet and its climate. While many individuals and foundations continue raising much-needed funding for the environment, the development of conservation portfolios is a complex multi-dimensional task. Agencies have limited resources for investing in new conservation areas and have differing priorities for conservation in terms of species, land cover, human activities, etc. We present an interactive conservation portfolio development system that combines visualization, multicriteria analysis, optimization, and decision making that enables conservation planners and scientists to efficiently construct, compare, and modify conservation portfolios under multiple constraints.

Original languageEnglish (US)
Article number105178
JournalEnvironmental Modelling and Software
Volume145
DOIs
StatePublished - Nov 2021

Keywords

  • Conservation planning
  • Decision support systems
  • Discrete optimization
  • Geographic visualization
  • Visual analytics

ASJC Scopus subject areas

  • Software
  • Environmental Engineering
  • Ecological Modeling

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