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Trade-offs and synergies among ecosystem services under different forest management scenarios: The LEcA tool
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering. International Institute for Applied Systems Analysis (IIASA), Ecosystems Services and Management Program, Laxenburg, Austria. (Environmental Management and Assessment)ORCID iD: 0000-0001-6417-4497
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2017 (English)In: Ecosystem Services, ISSN 2212-0416, E-ISSN 2212-0416, Vol. 28, p. 67-79Article in journal (Refereed) Published
Abstract [en]

Forests provide a multitude of ecosystem services. In Sweden, the goal to replace fossil fuels could induce substantial changes in the current management and use of forests. Therefore, methods and tools are needed to assess synergies and trade-offs between ecosystem services for policy and planning alternatives. The aim of this study was to develop methods for integrated sustainability assessment of forest management strategies for long-term provisioning of various ecosystem services. For this purpose, the Landscape simulation and Ecological Assessment (LEcA) tool was developed to analyse synergies and trade-offs among five ecosystem services: bioenergy feedstock and industrial wood production, forest carbon storage, recreation areas and habitat networks. Forest growth and management were simulated for two scenarios; the EAF-tot scenario dominated by even-aged forestry (EAF), and the CCF-int scenario with a combination of continuous-cover forestry (CCF) and intensified EAF. The results showed trade-offs between industrial wood and bioenergy production on one side and habitat, recreation and carbon storage on the other side. The LEcA tool showed great potential for evaluation of impacts of alternative policies for land zoning and forest management on forest ecosystem services. It can be used to assess the consequences of forest management strategies related to renewable energy and conservation policies.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 28, p. 67-79
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
URN: urn:nbn:se:kth:diva-214955DOI: 10.1016/j.ecoser.2017.10.006ISI: 000417085800006Scopus ID: 2-s2.0-85034037820OAI: oai:DiVA.org:kth-214955DiVA, id: diva2:1144494
Funder
StandUpSwedish Research Council Formas
Note

QC 20171023

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-12-18Bibliographically approved
In thesis
1. Trade-off analysis of forest ecosystem services – A modelling approach
Open this publication in new window or tab >>Trade-off analysis of forest ecosystem services – A modelling approach
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Forest is a resource that is increasingly utilized for multiple purposes. The balance between energy demands and the long-term capacity of ecosystems to support biodiversity and other ecosystem services is crucial. The aim of this project was to increase the knowledge on and to develop methods and tools for trade-offs and synergies analysis among forest ecosystem services based on different forest management policies.

Paper I provides an overview of existing models for integrated energy-environment assessment. A literature review was conducted on assessment models and their ability to integrate energy with environmental aspects. Missing environmental aspects concern land use, landscapes and biodiversity. In Paper II a modelling framework was set up to link a landscape simulator with a habitat network model for integrated assessment of bioenergy feedstock and biodiversity related impacts in Kronoberg County. In Paper III we continued with the same management scenarios, while the analysis was expanded to five ecosystem services by developing the Landscape simulation and Ecological Assessment (LEcA) tool: industrial wood, bioenergy, forest carbon stock, recreation areas and habitat networks. In Paper IV we present two heuristic methods for spatial optimization – simulated annealing (SA) and genetic algorithm (GA) – to find optimal solutions for allocating harvest activities, in order to minimize the impacts on habitat networks. In Paper V, as response to the findings in Paper I, we linked the energy model MESSAGE with our LEcA tool for forest bioenergy demand assessment while applying environmental and transport restrictions, in a study of Lithuania.

We found trade-offs between industrial wood production and bioenergy on one side, and recreation values, biodiversity, and to some extent carbon storage on the other side. The LEcA tool integrated forest simulation and management with assessment of ecosystem services, which is promising for integrated sustainability assessment of forest management policies.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. p. 61
Series
TRITA-SEED-PHD ; 2017:02
Keywords
Forest bioenergy feedstock, Landscape simulation, Forest simulation, Ecosystem services modelling, Integrated sustainability assessment, Spatial optimization, Optimization heuristics
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
urn:nbn:se:kth:diva-216432 (URN)978-91-7729-571-6 (ISBN)
Public defence
2017-11-24, F3, Lindstedtvägen 26, KTH Campus, Stockholm, 13:00 (English)
Opponent
Supervisors
Funder
StandUpSwedish Research Council FormasEU, Horizon 2020
Note

QC 20171023

Available from: 2017-10-23 Created: 2017-10-23 Last updated: 2017-10-24Bibliographically approved

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