Husmann, K.; von Groß, V.; Bödeker, K.; Fuchs, J.; Paul, C. & Knoke, T. (2022): <b>optimLanduse: A package for multiobjective land-cover composition optimization under uncertainty</b>. <i>Methods in Ecology and Evolution</i> <b>Online</b>, 1-10.
Resource Description
Title:
optimLanduse: A package for multiobjective land-cover composition optimization under uncertainty
FOR816dw ID:
1970
Publication Date:
2022-10-28
License and Usage Rights:
Resource Owner(s):
Individual:
Kai Husmann
Contact:
email:
webmaster <at> tropicalmountainforest.org
Individual:
Volker von Groß
Contact:
email:
webmaster <at> tropicalmountainforest.org
Individual:
Kai Bödeker
Contact:
email:
webmaster <at> tropicalmountainforest.org
Individual:
Jasper Fuchs
Contact:
email:
webmaster <at> tropicalmountainforest.org
Individual:
Carola Paul
Contact:
email:
carola.paul <at> tum.de
Center of Life and Food Sciences Weihenstephan
Institute of Forest Management
Technische Universität München
Hans-Carl-von-Carlowitz-Platz 2
85354 Freising
Germany
Individual:
Thomas Knoke
Contact:
email:
knoke <at> forst.tu-muenchen.de
Center of Life and Food Science Weihenstephan
Institute of Forest Management
Technische Universität München
Hans-Carl-von-Carlowitz-Platz 2
85354 Freising
Germany
Abstract:
1. How to simultaneously combat biodiversity loss and maintain ecosystem functioning<br/>
while improving human welfare remains an open question. Optimization<br/>
approaches have proven helpful in revealing the trade-offs<br/>
between multiple<br/>
functions and goals provided by land-cover<br/>
configurations. The R package optim-<br/>
Landuse provides tools for easy and systematic applications of the robust multiobjective<br/>
land-cover<br/>
composition optimization approach of Knoke et al. (2016).<br/>
2. The package includes tools to determine the land-cover<br/>
composition that best<br/>
balances the multiple functions a landscape can provide, and tools for understanding<br/>
and visualizing the reasoning behind these compromises. A tutorial<br/>
based on a published dataset guides users through the application and highlights<br/>
possible use-cases.<br/>
3. Illustrating the consequences of alternative ecosystem functions on the theoretically<br/>
optimal landscape composition provides easily interpretable information<br/>
for landscape modelling and decision-making.<br/>
4. The package opens the approach of Knoke et al. (2016) to the community of<br/>
landscape modellers and planners and provides opportunities for straightforward<br/>
systematic or batch applications.
email:
knoke <at> forst.tu-muenchen.de
Center of Life and Food Science Weihenstephan
Institute of Forest Management
Technische Universität München
Hans-Carl-von-Carlowitz-Platz 2
85354 Freising
Germany
