0000000000501566

AUTHOR

Urs-beat Brändli

showing 4 related works from this author

Long-term impacts of increased timber harvests on ecosystem services and biodiversity: A scenario study based on national forest inventory data

2020

Abstract The transition to a climate-neutral economy is expected to increase future timber demands and endanger the multifunctionality of forests. National scenario analyses are needed to determine long-term forest management impacts and support forest policy making in defining guidelines for the sustainable provision of forests’ ecosystem services and biodiversity (ESB). Using national forestry inventory data, the forest management model MASSIMO and a model to estimate harvesting costs, we simulated forest development in Switzerland under five politically relevant timber harvesting scenarios until 2106 (business as usual and four increased timber mobilisation scenarios). Model results were…

Global and Planetary ChangeDecision support systemEcologyNatural resource economicsGeography Planning and DevelopmentLoggingForest managementBiodiversityManagement Monitoring Policy and LawCarbon sequestrationAgricultural and Biological Sciences (miscellaneous)Ecosystem servicesBusinessProtection forestStock (geology)Nature and Landscape ConservationEcosystem Services
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Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis

2020

Abstract Background Scenario analyses that evaluate management effects on the long-term provision and sustainability of forest ecosystem services and biodiversity (ESB) also need to account for disturbances. The objectives of this study were to reveal potential trade-offs and synergies between ESB provision and disturbance predisposition at the scale of a whole country. Methods The empirical scenario model MASSIMO was used to simulate forest development and management from years 2016 to 2106 on 5086 sample plots of the Swiss National Forest Inventory (NFI). We included a business-as-usual (BAU) scenario and four scenarios of increased timber harvesting. Model output was evaluated with indic…

0106 biological sciencesBark beetle010504 meteorology & atmospheric sciencesBiodiversitykestävä metsätalous010603 evolutionary biology01 natural sciencesScenario analysisEcosystem servicesvaltakunnan metsien inventointihäiriötEmpirical modellcsh:QH540-549.5Forest ecologyEcosystem servicesempirical modelEcosystemScenario analysisforest inventoryEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape ConservationdisturbanceEcologybiologyAgroforestrymetsänkäsittelyLoggingmetsäsuunnitteluForestryDisturbancescenario analysisskenaariotbiology.organism_classificationekosysteemipalvelutSustainabilityEnvironmental sciencelcsh:Ecologymallit (mallintaminen)ecosystem servicesForest inventoryForest Ecosystems
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Long-term impacts of increased timber harvests on ecosystem services and biodiversity : A scenario study based on national forest inventory data

2020

The transition to a climate-neutral economy is expected to increase future timber demands and endanger the multifunctionality of forests. National scenario analyses are needed to determine long-term forest management impacts and support forest policy making in defining guidelines for the sustainable provision of forests’ ecosystem services and biodiversity (ESB). Using national forestry inventory data, the forest management model MASSIMO and a model to estimate harvesting costs, we simulated forest development in Switzerland under five politically relevant timber harvesting scenarios until 2106 (business as usual and four increased timber mobilisation scenarios). Model results were analysed…

decision supportmetsäpolitiikkamonimuuttujamenetelmätmulti-criteria analysispäätöksentekoforest managementbiodiversity conservationprotection foresthiilensidontametsänhoitocarbon sequestrationbiodiversiteetti
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Additional file 1 of Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis

2020

Additional file 1: Supplementary material.

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