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Trade-off analysis of forest ecosystem services – A modelling approach
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management. (Environmental Management and Assessment research group)ORCID iD: 0000-0001-6417-4497
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
Keyword [en]
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: urn:nbn:se:kth:diva-216432ISBN: 978-91-7729-571-6 (print)OAI: oai:DiVA.org:kth-216432DiVA, id: diva2:1151292
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
List of papers
1. Energy models from a strategic environmental assessment perspective in an EU context: What is missing concerning renewables?
Open this publication in new window or tab >>Energy models from a strategic environmental assessment perspective in an EU context: What is missing concerning renewables?
2014 (English)In: Renewable & sustainable energy reviews, ISSN 1364-0321, E-ISSN 1879-0690, Vol. 33, p. 353-362Article in journal (Refereed) Published
Abstract [en]

Climate change and security of energy supply are main sustainability issues today and an energy systems shift towards renewable energy sources is therefore urgent. However, unless environmental impacts of such a shift are carefully taken into account, imposed resource and land use changes may counteract other sustainability goals, such as preserving biodiversity and ecosystem services. Strategic Environmental Assessment (SEA) provides a comprehensive framework for assessment of policies and plans where a full range of environmental issues are addressed. The aim of this article was to find possibilities for comprehensive sustainability assessment among published energy-environment models and the linking of renewable energy analysis to landscape and biodiversity issues through land use concerns. Based on the review of relevant energy, environmental and linking models, a survey on publications and a case study on the EU Energy Roadmap 2050, the results show that existing energy models and research have low concerns on land use, landscapes and biodiversity. Consequently, it would be difficult to provide comprehensive decision support by using only these tools. However, suitable energy models, ecological assessment models and multi-criteria approaches exist with great potential for inter-linking. The development of energy models could thus have new orientations, connecting them to involve renewable energy options with land use, landscape and biodiversity concerns, which could be advanced into powerful SEA tools for integrated policy assessment. This will enable the development of more comprehensive decision support tools for assessing future energy scenarios, integrating main policy concerns when assessing renewable energy options.

Keyword
Energy models, Strategic environmental assessment, Landscape, Land use, Biodiversity, Policy assessment
National Category
Environmental Sciences
Identifiers
urn:nbn:se:kth:diva-138637 (URN)10.1016/j.rser.2014.02.005 (DOI)000335423900033 ()2-s2.0-84897724026 (Scopus ID)
Funder
StandUp
Note

QC 20140610

Available from: 2013-12-20 Created: 2013-12-20 Last updated: 2017-10-23Bibliographically approved
2. Habitat network assessment of forest bioenergy options using the landscape simulator LandSim: A case study of Kronoberg, southern Sweden
Open this publication in new window or tab >>Habitat network assessment of forest bioenergy options using the landscape simulator LandSim: A case study of Kronoberg, southern Sweden
Show others...
2017 (English)In: Ecological Modelling, ISSN 0304-3800, E-ISSN 1872-7026, Vol. 345, p. 99-112Article in journal (Refereed) Published
Abstract [en]

Forest biomass is a renewable resource that is increasingly utilised for bioenergy purposes in Sweden, which along with the extraction of industrial wood may conflict with biodiversity conservation. The aim of this paper is to present a method for integrated sustainability assessment of forest biomass extraction, particularly from bioenergy and biodiversity perspectives. The landscape simulator LandSim was developed and linked with models for the assessment of biomass yields and habitat networks representing prioritised biodiversity components. It was applied in a case study in Kronoberg County in southern Sweden. Forest growth and management were simulated for the period 2010-2110, following two land zoning scenarios, one applying even-aged forest management on all forest land except for protected areas (EAF-tot), and one applying continuous cover forest management on parts of the forest land, combined with protected areas and an intensified even-aged management on the other parts (CCF-int). The EAF-tot scenario implied higher yields of biomass feedstock for bioenergy, the CCF-int scenario only giving 66% of that yield, while the CCF-int scenario performed substantially better when it came to the habitat network indicators, if habitat suitability was ensured. Conclusively, the case study confirmed that the modelling framework of the LEcA tool, linking the landscape simulator LandSim with the biomass yield assessment and the habitat network model can be used for integrating main policy concerns when assessing renewable energy options.

National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
urn:nbn:se:kth:diva-197897 (URN)10.1016/j.ecolmodel.2016.12.006 (DOI)000393248700009 ()
Funder
StandUpSwedish Research Council Formas
Note

QC 20161214

Available from: 2016-12-08 Created: 2016-12-08 Last updated: 2017-10-23Bibliographically approved
3. Trade-offs and synergies among ecosystem services under different forest management scenarios: The LEcA tool
Open this publication in new window or tab >>Trade-offs and synergies among ecosystem services under different forest management scenarios: The LEcA tool
Show others...
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
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
urn:nbn:se:kth:diva-214955 (URN)10.1016/j.ecoser.2017.10.006 (DOI)000417085800006 ()2-s2.0-85034037820 (Scopus ID)
Funder
StandUpSwedish Research Council Formas
Note

QC 20171023

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-12-18Bibliographically approved
4. Non-linear spatial optimization for incorporating habitat networks in forest management planning: A comparison between simulated annealing and genetic algorithm
Open this publication in new window or tab >>Non-linear spatial optimization for incorporating habitat networks in forest management planning: A comparison between simulated annealing and genetic algorithm
(English)Manuscript (preprint) (Other academic)
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
urn:nbn:se:kth:diva-214956 (URN)
Funder
StandUp
Note

QC 20171011

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-10-23Bibliographically approved
5. Will the demand for forest bioenergy feedstock be met?: Linking forest simulation with energy scenarios for Lithuania
Open this publication in new window or tab >>Will the demand for forest bioenergy feedstock be met?: Linking forest simulation with energy scenarios for Lithuania
Show others...
(English)Manuscript (preprint) (Other academic)
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
urn:nbn:se:kth:diva-214957 (URN)
Funder
EU, Horizon 2020StandUp
Note

QC 20171012

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2017-10-23Bibliographically approved

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