optimLanduse : A package for multiobjective land‐cover composition optimization under uncertainty

2022 | journal article. A publication with affiliation to the University of Göttingen.

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​optimLanduse : A package for multiobjective land‐cover composition optimization under uncertainty​
Husmann, K. ; Groß, V. C. von ; Bödeker, K. ; Fuchs, J. M. ; Paul, C.   & Knoke, T.​ (2022) 
Methods in Ecology and Evolution13(12) art. 2041-210X.14000​.​ DOI: https://doi.org/10.1111/2041-210X.14000 

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Authors
Husmann, Kai ; Groß, Volker Christian von ; Bödeker, Kai ; Fuchs, Jasper Maximilian ; Paul, Carola ; Knoke, Thomas
Abstract
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 optimLanduse provides tools for easy and systematic applications of the robust multiobjective land‐cover composition optimization approach of Knoke et al. (2016). 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. Illustrating the consequences of alternative ecosystem functions on the theoretically optimal landscape composition provides easily interpretable information for landscape modelling and decision‐making. The package opens the approach of Knoke et al. (2016) to the community of landscape modellers and planners and provides opportunities for straightforward systematic or batch applications.
Issue Date
2022
Journal
Methods in Ecology and Evolution 
Project
ONEforest 
SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien) 
Potential of functional diversity for increasing the disturbance resiliency of forests and forest-based socio-ecological systems (FUNPOTENTIAL) 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Forstökonomie und nachhaltige Landnutzungsplanung 
ISSN
2041-210X
eISSN
2041-210X
Language
English
Sponsor
Bundesamt für Naturschutz http://dx.doi.org/10.13039/501100010415
Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
European Commission http://dx.doi.org/10.13039/501100000780
Fachagentur Nachwachsende Rohstoffe http://dx.doi.org/10.13039/501100010812

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