A method to assess the economic impacts of forest biomass use on ecosystem services in a National Park
The aim of the paper is to develop a method to assess the effect of forest biomass use for energy on ecosystem services (ES). Such method has been in the GRASS GIS environment, by creating an Decision Support System (DSS) called r.green.biomassfor. The method has been tested in the Triglav National...
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Published in | Biomass & bioenergy Vol. 98; pp. 252 - 263 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Abstract | The aim of the paper is to develop a method to assess the effect of forest biomass use for energy on ecosystem services (ES). Such method has been in the GRASS GIS environment, by creating an Decision Support System (DSS) called r.green.biomassfor. The method has been tested in the Triglav National Park in Slovenia. The potential forest biomass was estimated with r.green.biomassfor DSS taking into account the effects of forest biomass harvesting on ES in terms of economic value. The economic value of each ecosystem service to society has been estimated using different economic evaluation methods and were spatially located with a Geographical Information System (GIS) application. Then, a semi-structured questionnaire was administered face-to-face to the experts in order to understand the effects of forest biomass harvesting on the ES at local level. Finally, the results of the questionnaire survey were elaborated to obtain indicators useful to assess the economic gain or loss on the benefits provided by ES based on the results of r.green.biomassfor DSS.
•Strategies for the improvement of forest biomass supply in the protected areas must consider impacts on ecosystem services.•Our proposed Decision Support System has a flexible structure that can be applied from local to national scale.•The economic evaluation of ecosystem services is a key aspect in spatial planning.•The experts’ opinions are important in impact assessment of forest bioenergy use on ecosystem services at local level.•In the development of a Decision Support System for forest planning the socio-economic variables must be included. |
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AbstractList | The aim of the paper is to develop a method to assess the effect of forest biomass use for energy on ecosystem services (ES). Such method has been in the GRASS GIS environment, by creating an Decision Support System (DSS) called r.green.biomassfor. The method has been tested in the Triglav National Park in Slovenia. The potential forest biomass was estimated with r.green.biomassfor DSS taking into account the effects of forest biomass harvesting on ES in terms of economic value. The economic value of each ecosystem service to society has been estimated using different economic evaluation methods and were spatially located with a Geographical Information System (GIS) application. Then, a semi-structured questionnaire was administered face-to-face to the experts in order to understand the effects of forest biomass harvesting on the ES at local level. Finally, the results of the questionnaire survey were elaborated to obtain indicators useful to assess the economic gain or loss on the benefits provided by ES based on the results of r.green.biomassfor DSS.
•Strategies for the improvement of forest biomass supply in the protected areas must consider impacts on ecosystem services.•Our proposed Decision Support System has a flexible structure that can be applied from local to national scale.•The economic evaluation of ecosystem services is a key aspect in spatial planning.•The experts’ opinions are important in impact assessment of forest bioenergy use on ecosystem services at local level.•In the development of a Decision Support System for forest planning the socio-economic variables must be included. |
Author | Garegnani, Giulia Geri, Francesco Vettorato, Daniele Poljanec, Aleš Paletto, Alessandro Grilli, Gianluca Ciolli, Marco Sacchelli, Sandro |
Author_xml | – sequence: 1 givenname: Gianluca orcidid: 0000-0002-2082-4475 surname: Grilli fullname: Grilli, Gianluca email: gianluca.grilli@eurac.edu organization: EURAC Research - Institute of Renewable Energy, Drususallee 1, 39100 Bolzano, Italy – sequence: 2 givenname: Marco surname: Ciolli fullname: Ciolli, Marco organization: Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123 Trento, Italy – sequence: 3 givenname: Giulia surname: Garegnani fullname: Garegnani, Giulia organization: EURAC Research - Institute of Renewable Energy, Drususallee 1, 39100 Bolzano, Italy – sequence: 4 givenname: Francesco surname: Geri fullname: Geri, Francesco organization: Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123 Trento, Italy – sequence: 5 givenname: Sandro surname: Sacchelli fullname: Sacchelli, Sandro organization: EURAC Research - Institute of Renewable Energy, Drususallee 1, 39100 Bolzano, Italy – sequence: 6 givenname: Aleš surname: Poljanec fullname: Poljanec, Aleš organization: Slovenia Forest Service, Večna pot 2, SI-1000 Ljubljana and University of Ljubljana, Biotechnical Faculty, Department for Forestry and Renewable Forest Resources, SI-1000 Ljubljana, Slovenia – sequence: 7 givenname: Daniele orcidid: 0000-0002-5482-1723 surname: Vettorato fullname: Vettorato, Daniele organization: EURAC Research - Institute of Renewable Energy, Drususallee 1, 39100 Bolzano, Italy – sequence: 8 givenname: Alessandro surname: Paletto fullname: Paletto, Alessandro organization: Council for Agricultural Research and Economics - Forest Monitoring and Planning Unit (CREA-MPF), p.zza Nicolini 6, 38123 Trento Italy |
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CitedBy_id | crossref_primary_10_1016_j_ecoser_2021_101262 crossref_primary_10_3986_GV93101 crossref_primary_10_3390_su11236586 crossref_primary_10_1016_j_scitotenv_2023_169248 crossref_primary_10_1080_10549811_2020_1723645 crossref_primary_10_1016_j_erss_2019_04_015 crossref_primary_10_1016_j_rser_2022_112268 crossref_primary_10_3390_f15060919 crossref_primary_10_1016_j_forpol_2018_04_011 crossref_primary_10_1016_j_ecolecon_2018_08_021 crossref_primary_10_3390_fire4040095 crossref_primary_10_3389_fevo_2023_1261265 crossref_primary_10_1016_j_forpol_2019_102039 crossref_primary_10_1505_146554822835224865 crossref_primary_10_17221_5_2021_JFS |
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Keywords | Ecosystem services Economic value Experts Protected area Forest biomass Decision support system (DSS) |
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SubjectTerms | Decision support system (DSS) Economic value Ecosystem services Experts Forest biomass Protected area |
Title | A method to assess the economic impacts of forest biomass use on ecosystem services in a National Park |
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