4.7 Article

Economic losses from natural disturbances in Norway spruce forests ? A quantification using Monte-Carlo simulations

Journal

ECOLOGICAL ECONOMICS
Volume 185, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecolecon.2021.107046

Keywords

Climatic change; Economic loss; Monte-Carlo simulation; Survival probability; Extreme hazard events; Worst-case analysis

Funding

  1. ERA-Net Sumforest project FOREXCLIM [2816ERA01S]

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This study develops a new methodology to assess the economic impact of natural disturbances, taking into account extreme events and impacts on standing timber. Results show that accounting for extreme events and disturbance impacts on standing timber can lead to economic losses 262%-1218% higher than using common valuation approaches that neglect these aspects.
Changing forest disturbance regimes pose a major challenge for current day forestry. Yet our understanding of the economic impacts of disturbances remains incomplete. Existing valuations of losses from natural disturbances commonly exclude extreme events and neglect impacts on standing timber. Here we develop a new methodology to assess the economic impact of natural disturbances addressing these limitations. We couple an empirical function of forest growth with survival modelling for the example of Norway spruce (Picea abies), using MonteCarlo simulations to quantify the economic losses from natural disturbances. We illustrate the effect of extreme disturbance events by analyzing the lowest (worst) 5% of simulated economic returns. Ranging between ? -2,611 and -34,416 per hectare, disturbance-induced economic losses varied greatly, depending on the valuation approach applied. Accounting for extreme events and disturbance impacts on standing timber resulted in 262?1218% higher losses compared to damages derived with common valuation approaches that neglect these aspects. Furthermore, we demonstrate that refraining from salvage logging after extreme disturbances does not necessarily result in major economic losses for forest owners, indicating a potential cost-effective avenue to improve forest biodiversity. Our approach presents an important step towards quantifying the economic impacts of changing forest disturbance regimes.

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