New paper: "optimLanduse: A package for multiobjective land-cover composition optimization under uncertainty"
How to simultaneously combat biodiversity loss and maintain ecosystem functioning while improving human welfare remains an open question. Optimization approaches have proven helpful in revealing the trade-offs between multiple functions and goals provided by land-cover configurations. The "R package optim- Landuse" provides tools for easy and systematic applications of the robust multiobjective land cover.
The package includes tools to determine the land-cover composition that best balances the multiple functions a landscape can provide, and tools for understanding and visualizing the reasoning behind these compromises. A tutorial based on a published dataset guides users through the application and highlights possible use cases.
This paper is involved in the research carried out under the ONEforest project at the University of Goettingen.
Check the scientific publication here.
