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Will the demand for forest bioenergy feedstock be met?: Linking forest simulation with energy scenarios for Lithuania
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management. (Environmental Management and Assessment)ORCID iD: 0000-0001-6417-4497
Show others and affiliations
(English)Manuscript (preprint) (Other academic)
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
URN: urn:nbn:se:kth:diva-214957OAI: oai:DiVA.org:kth-214957DiVA: diva2:1144499
Funder
EU, Horizon 2020StandUp
Note

QC 20171012

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-10-23Bibliographically 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. 61 p.
Series
TRITA-SEED-PHD, 2017:02
Keyword
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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CiteExportLink to record
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