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‪Vers une composition optimale de la forêt française‪

Une application de la théorie de la sélection de portefeuille aux critères biotechniques
Authors: Brunette, Marielle; Dragicevic, Arnaud; Lenglet, Jonathan; Niedzwiedz, Alexandra;

‪Vers une composition optimale de la forêt française‪

Abstract

L’objectif de cette étude est d’appliquer la théorie de la sélection de portefeuille à la diversité en essences des forêts françaises. Les titres financiers sont ainsi remplacés par les essences forestières. Le portefeuille optimal est celui qui minimise le risque, tout en maintenant la productivité actuelle. L’étude est menée par département et sur 11 essences : épicéa commun (Picea abies), sapin pectiné (Abies alba), pin sylvestre (Pinus sylvestris), pin maritime (Pinus pinaster), mélèze d’Europe (Larix decidua), douglas (Pseudotruga menziesii), chêne pédonculé (Quercus robur), chêne sessile (Quercus petraea), chêne pubescent (Quercus pubescens), chêne vert (Quercus ilex) et hêtre commun (Fagus sylvatica). Les données utilisées proviennent des bases de données de l’Institut de l’information géographique et forestière (IGN). Les sorties du modèle corroborent les recommandations actuelles. À l’échelle nationale, dans la partie méridionale, les auteurs observent une productivité moindre mais aussi une meilleure résistance. À l’inverse, le Nord, actuellement plus productif, est plus sensible aux perturbations. Ces résultats illustrent le fait que certains outils économiques et financiers peuvent être utilisés dans un contexte sylvicole, à des fins d’aide à la décision.

Country
France
Keywords

580, forests, [ QFIN.RM ] Quantitative Finance [q-fin]/Risk Management [q-fin.RM], changement climatique, productivity, [ QFIN.PM ] Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM], [QFIN.PM]Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM], vulnerability, [QFIN.RM]Quantitative Finance [q-fin]/Risk Management [q-fin.RM], gestion de portefeuille, [QFIN.PM] Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM], forêts, productivité, climate change, [QFIN.RM] Quantitative Finance [q-fin]/Risk Management [q-fin.RM], vulnérabilité, portfolio management

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid
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