Détail de l'auteur
Auteur Lara Climaco de Melo |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
The effect of stumpage prices on large-area forest growth forecasts based on socio-ecological models / Mathieu Fortin in Forestry, an international journal of forest research, vol 92 n° 3 (July 2019)
[article]
Titre : The effect of stumpage prices on large-area forest growth forecasts based on socio-ecological models Type de document : Article/Communication Auteurs : Mathieu Fortin, Auteur ; Jean-Baptiste Pichancourt, Auteur ; Lara Climaco de Melo, Auteur ; Antoine Colin , Auteur ; Sylvain Caurla, Auteur Année de publication : 2019 Projets : 2-Pas d'info accessible - article non ouvert / Article en page(s) : pp 339 - 356 Note générale : bibliographie
pas d'info sur le projetLangues : Anglais (eng) Descripteur : [Termes IGN] coupe (sylviculture)
[Termes IGN] croissance des arbres
[Termes IGN] tarif de cubage
[Termes IGN] volume en bois
[Vedettes matières IGN] Economie forestièreRésumé : (auteur) Forest ecosystems are typical examples of socio-ecological systems. However, in terms of modelling, the social aspect has been given far less attention than the ecological aspect. In this study, we modelled the impact of economic and social factors on the occurrence of harvesting. This harvest model was then integrated into an individual-based model of forest growth designed for large-area forecasts. The resulting socio-ecological model was then used to produce volume predictions for two regions of France. Among the economic factors, the annual stumpage prices in interaction with the species proved to be a significant predictor of harvest occurrence. Simulating different stumpage price evolutions made it possible to predict supply curves for the two regions. Projections until 2060 showed that increases in stumpage prices will be detrimental to standing volumes in both regions. Integrating the demand for wood products into such socio-ecological models in forestry would be a major improvement. Numéro de notice : A2019-639 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpz016 Date de publication en ligne : 31/03/2019 En ligne : https://doi.org/10.1093/forestry/cpz016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95563
in Forestry, an international journal of forest research > vol 92 n° 3 (July 2019) . - pp 339 - 356[article]