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Habitat network assessment of forest bioenergy options using the landscape simulator LandSim – A case study of Kronoberg, southern Sweden

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Listed:
  • Pang, Xi
  • Mörtberg, Ulla
  • Sallnäs, Ola
  • Trubins, Renats
  • Nordström, Eva-Maria
  • Böttcher, Hannes

Abstract

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.

Suggested Citation

  • Pang, Xi & Mörtberg, Ulla & Sallnäs, Ola & Trubins, Renats & Nordström, Eva-Maria & Böttcher, Hannes, 2017. "Habitat network assessment of forest bioenergy options using the landscape simulator LandSim – A case study of Kronoberg, southern Sweden," Ecological Modelling, Elsevier, vol. 345(C), pages 99-112.
    • Handle: RePEc:eee:ecomod:v:345:y:2017:i:c:p:99-112
    DOI: 10.1016/j.ecolmodel.2016.12.006
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    References listed on IDEAS

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    3. Ulla Mörtberg & Andreas Zetterberg & Berit Balfors, 2012. "Urban Landscapes In Transition, Lessons From Integrating Biodiversity And Habitat Modelling In Planning," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-31.
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    Cited by:

    1. Yang Yang & Yanru Zhou & Zhe Feng & Kening Wu, 2022. "Making the Case for Parks: Construction of an Ecological Network of Urban Parks Based on Birds," Land, MDPI, vol. 11(8), pages 1-19, July.
    2. Trubins, Renats & Jonsson, Ragnar & Wallin, Ida & Sallnäs, Ola, 2019. "Explicating behavioral assumptions in forest scenario modelling – the behavioral matrix approach," Forest Policy and Economics, Elsevier, vol. 103(C), pages 70-78.
    3. Ulla Mörtberg & Xi-Lillian Pang & Rimgaudas Treinys & Renats Trubins & Gintautas Mozgeris, 2021. "Sustainability Assessment of Intensified Forestry—Forest Bioenergy versus Forest Biodiversity Targeting Forest Birds," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    4. Pang, Xi & Nordström, Eva-Maria & Böttcher, Hannes & Trubins, Renats & Mörtberg, Ulla, 2017. "Trade-offs and synergies among ecosystem services under different forest management scenarios – The LEcA tool," Ecosystem Services, Elsevier, vol. 28(PA), pages 67-79.
    5. Yanjie Zhang & Wei Song, 2020. "Identify Ecological Corridors and Build Potential Ecological Networks in Response to Recent Land Cover Changes in Xinjiang, China," Sustainability, MDPI, vol. 12(21), pages 1-23, October.

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