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Productivity of Fagus sylvatica under climate change – A Bayesian analysis of risk and uncertainty using the model 3-PG

Augustynczik, Andrey L.D., Hartig, Florian, Minunno, Francesco, Kahle, Hans-Peter, Diaconu, Daniela, Hanewinkel, Marc and Yousefpour, Rasoul (2017) Productivity of Fagus sylvatica under climate change – A Bayesian analysis of risk and uncertainty using the model 3-PG. Forest Ecology and Management 401, pp. 192-206.

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Other URL: http://doi.org/10.1016/j.foreco.2017.06.061


Abstract

To assess the long-term impacts of forest management interventions under climate change, process based models, which allow to predict transient dynamics under environmental change, are arguably the most suitable tools available. A challenge for using these models for management decisions, however, is their higher parametric uncertainty, which propagates to predictions and thus into the decision ...

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Item type:Article
Date:2017
Institutions:Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften
Identification Number:
ValueType
10.1016/j.foreco.2017.06.061DOI
Keywords:TREE SPECIES COMPOSITION; ROBUST DECISION-MAKING; FOREST GROWTH-MODEL; CARBON STORAGE; EUCALYPTUS PLANTATIONS; MANAGEMENT; EUROPE; CALIBRATION; DYNAMICS; BIOMASS; Uncertainty; Risk; Forest management; Bayesian calibration; European beech
Dewey Decimal Classification:500 Science > 580 Botanical sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:39759
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