Biotechnical portfolio management of mixed-species forests
Marielle Brunette (),
Arnaud Dragicevic (),
Jonathan Lenglet (),
Alexandra Niedzwiedz,
Vincent Badeau () and
Jean-Luc Dupouey ()
Additional contact information
Arnaud Dragicevic: LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech
Jonathan Lenglet: LERFoB - Laboratoire d'Etudes des Ressources Forêt-Bois - INRA - Institut National de la Recherche Agronomique - AgroParisTech
Vincent Badeau: EEF - Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] - INRA - Institut National de la Recherche Agronomique - UL - Université de Lorraine
Jean-Luc Dupouey: EEF - Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] - INRA - Institut National de la Recherche Agronomique - UL - Université de Lorraine
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Abstract:
Based upon the historical data—obtained from the French National Forest Inventory—on the tree species' productivities, assimilated to be a measure of return on investment, as well as on their variances as sources of risk, we apply the portfolio selection theory in order to optimize the species distributions in France. We thus determine the optimal return-risk combinations of tree species and map them per administrative department. We also estimate the resistance of optimal portfolios using the species' probabilities of presence. Our results show that greater weights in the optimal portfolios match with higher probabilities of presence, implying that foresters have incentives to invest in the most resilient species.
Keywords: Bioeconomics; portfolio management; forest management; climate change; mixed-species forest (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)
Published in Journal of Bioeconomics, 2017, Online first, pp.1-23. ⟨10.1007/s10818-017-9247-x⟩
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Journal Article: Biotechnical portfolio management of mixed-species forests (2017) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01530808
DOI: 10.1007/s10818-017-9247-x
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