دورية أكاديمية

Sustainability Assessment of Intensified Forestry—Forest Bioenergy versus Forest Biodiversity Targeting Forest Birds

التفاصيل البيبلوغرافية
العنوان: Sustainability Assessment of Intensified Forestry—Forest Bioenergy versus Forest Biodiversity Targeting Forest Birds
المؤلفون: Ulla Mörtberg, Xi-Lillian Pang, Rimgaudas Treinys, Renats Trubins, Gintautas Mozgeris
المصدر: MDPI, Sustainability. 13(5):1-19
سنة النشر: 2021
الوصف: Intensified forestry can be seen as a solution to climate change mitigation and securing energy supply, increasing the production of forest bioenergy feedstock as a substitution for fossil fuels. However, it may come with detrimental impacts on forest biodiversity, especially related to older forests. The aim of this study was to assess the sustainability of intensified forestry from climate-energy and biodiversity perspectives, targeting forest bird species. For this purpose, we applied the Landscape simulation and Ecological Assessment (LEcA) tool to the study area of Lithuania, having high ambitions for renewables and high forest biodiversity. With LEcA, we simulated forest growth and management for 100 years with two forest management strategies: Business As Usual (BAU) and Intensive forestry (INT), the latter with the purpose to fulfil renewable energy goals. With both strategies, the biomass yields increased well above the yields of the reference year, while the biodiversity indicators related to forest bird habitat to different degrees show the opposite, with lower levels than for the reference year. Furthermore, Strategy INT resulted in small-to-no benefits in the long run concerning potential biomass harvesting, while substantially affecting the biodiversity indicators negatively. The model results have the potential to inform policy and forest management planning concerning several sustainability goals simultaneously.
نوع الوثيقة: redif-article
اللغة: English
الإتاحة: https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2789-d510735.html
رقم الأكسشن: edsrep.a.gam.jsusta.v13y2021i5p2789.d510735
قاعدة البيانات: RePEc