Optimizing forest landscape composition for multiple ecosystem services based on uncertain stakeholder preferences

Chreptun, Claudia (author), Ficko, Andrej (author), Gosling, Elizabeth (author), Knoke, Thomas (author)

Determining the desirable composition of a forested landscape and its associated ecosystem services (ES) is challenging because the solutions must reconcile the preferences of various forest stakeholders and account for uncertain data. By combining multi-objective robust optimization with an online survey of forest professionals in Slovenia (n = 130) and forest professionals, forest scientists, nature conservationists and forest owners in Germany (n = 649) about optimal forest landscape composition, we derived compromise portfolios of forest types. These portfolios minimize the trade-offs between five ES (stopping avalanches, carbon storage, recreation, timber production and regulating flows of water), and account for the varying capacity of eight forest types to supply ES. The resulting optimized forest landscape compositions always comprised at least two forest types. In both countries, uneven-aged native deciduous and conifer mixed stands were prominent in the optimized portfolios. In Germany, however, the optimized portfolio also contained exotic species in mixtures, whereas forest stands without active management were notable for several ES in Slovenia. Unmanaged forest stands were also selected in the forest composition optimized for nature conservationists in Germany: the nature conservationists' portfolio diverged strongly from those of the other stakeholders. Our results illustrate that diversified forested landscapes provide multiple ES, but also secure the provision of a single ES when accounting for uncertainty. The optimal forest compositions obtained by multi-objective robust optimization are a starting point for participatory planning approaches to identify the most socially acceptable strategies for adapting forest management to an uncertain future.

• Language: English
• Keywords: robust optimization, multi-objective decision-making, long-term forest composition, forest stand type
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Author Accepted Manuscript
• Publication date: 01.01.2022
• Year: 2022
• Number of pages: 11 str.
• Numbering: part 3, art. 159393
• PID: 20.500.12556/RUL-142411
• UDC: 630*22
• ISSN on article: 1879-1026
• DOI: 10.1016/j.scitotenv.2022.159393
• COBISS.SI-ID: 128328451
• Publication date in RUL: 07.11.2022

Record is a part of a journal

• Title: Science of the total environment
• Publisher: Elsevier
• ISSN: 1879-1026
• COBISS.SI-ID: 23110917

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: robustna optimizacija, večciljno odločanje, gozdni sestoji

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P4-0059-2020
• Name: Gozd, gozdarstvo in obnovljivi gozdni viri