TY - JOUR
T1 - Economic losses from natural disturbances in Norway spruce forests – A quantification using Monte-Carlo simulations
AU - Knoke, Thomas
AU - Gosling, Elizabeth
AU - Thom, Dominik
AU - Chreptun, Claudia
AU - Rammig, Anja
AU - Seidl, Rupert
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/7
Y1 - 2021/7
N2 - 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 Monte-Carlo 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.
AB - 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 Monte-Carlo 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.
KW - Climatic change
KW - Economic loss
KW - Extreme hazard events
KW - Monte-Carlo simulation
KW - Survival probability
KW - Worst-case analysis
UR - https://www.scopus.com/pages/publications/85103321898
U2 - 10.1016/j.ecolecon.2021.107046
DO - 10.1016/j.ecolecon.2021.107046
M3 - Article
AN - SCOPUS:85103321898
SN - 0921-8009
VL - 185
JO - Ecological Economics
JF - Ecological Economics
M1 - 107046
ER -