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

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

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.

• Jezik: Angleški jezik
• Ključne besede: robust optimization, multi-objective decision-making, long-term forest composition, forest stand type
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: BF - Biotehniška fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Recenzirani rokopis
• Datum objave: 01.01.2022
• Leto izida: 2022
• Št. strani: 11 str.
• Številčenje: part 3, art. 159393
• PID: 20.500.12556/RUL-142411
• UDK: 630*22
• ISSN pri članku: 1879-1026
• DOI: 10.1016/j.scitotenv.2022.159393
• COBISS.SI-ID: 128328451
• Datum objave v RUL: 07.11.2022

Gradivo je del revije

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

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: robustna optimizacija, večciljno odločanje, gozdni sestoji

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P4-0059-2020
• Naslov: Gozd, gozdarstvo in obnovljivi gozdni viri