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Coarse Woody Debris Management with Ambiguous Chance Constrained Robust Optimization

Institute of Forest Management, TUM School of Life Sciences Weihenstephan, Technische Universität München, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
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Forests 2019, 10(6), 504; https://doi.org/10.3390/f10060504
Received: 7 May 2019 / Revised: 24 May 2019 / Accepted: 6 June 2019 / Published: 13 June 2019
(This article belongs to the Section Forest Economics and Human Dimensions)
Coarse woody debris (deadwood) serves as a dwelling space for many rare species, and is therefore a most important factor to ensure diversity in forest ecosystems. However, wood from forest ecosystems is also needed for construction and heating. Therefore, a forest enterprise has to simultaneously incorporate the provision of suitable habitats, as well as the production of wood into their long-term management plans. If the owner wants to fulfil such multiple objectives in an effective way, the providing of ecosystem services can be included in economic planning. Applying computer aided robust optimization techniques, we optimized the provision of deadwood for two exemplary enterprises in East Bavaria, Germany. The results show that high amounts of deadwood provision can cause severe opportunity costs for the forest owner. These costs highly depend on the tree species, the sorting strategy and the time horizon, in which the deadwood objective is reached. Low deadwood targets up to 5 m 3 h a 1 can be provided most cost-effectively with crown material, while higher targets (20 m 3 h a 1 and more) are better achieved with heavy timber grades or the provision of total trees. The novelty of our research is the inclusion of deadwood targets in a risk-considering optimization tool on enterprise level. Instead of calculating the economic loss of commercially not-used timber assortments we show a way of deriving the impact of such decisions at stand level on the economic performance of the whole forest enterprise. We were able to derive optimized opportunity costs. These costs can be used as guidelines for necessary incentives to encourage forest owners to incorporate the provision of deadwood into their management. View Full-Text
Keywords: deadwood management; exponential decay functions; robust optimization; stochastic optimization; risk integration; expected uncertainty deadwood management; exponential decay functions; robust optimization; stochastic optimization; risk integration; expected uncertainty
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Härtl, F.; Knoke, T. Coarse Woody Debris Management with Ambiguous Chance Constrained Robust Optimization. Forests 2019, 10, 504.

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