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Báo cáo khoa học: "Forecasting wood resources on the basis of national forest inventory data. Application to Pinus pinaster Ait. in southwestern France"
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Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp quốc tế đề tài: Forecasting wood resources on the basis of national forest inventory data. Application to Pinus pinaster Ait. in southwestern France. | Ann. For. Sci. 58 2001 785-802 INRA EDP Sciences 2001 785 Original article Forecasting wood resources on the basis of national forest inventory data. Application to Pinus pinaster Ait. in southwestern France Raúl Salas-González1 2 Francois Houllier3 Bernard Lemoine4 and Gérome Pignard5 1 Instituto de Ecología Universidad Nacional Autónoma de Mexico Ap. Postal 70-275 04510 Mexico D.F. 2 Escola Superior Agrária de Coimbra Departamento Florestal Instituto Politécnico de Coimbra Bencanta 03040 Coimbra Portugal 3 CIRAD Unite mixte de recherches CIRAD-INRA Modélisation des plantes AMAP Campus international de Baillarguet. TA 40 E 34398 Montpellier Cedex 5 France 4INRA. Unite de recherches forestieres BP 45. Gazinet Pierroton 55610 Cestas France 5Inventaire Forestier National Place des Arcades BP 1 34970 Maurin-Lattes France Received 29 March 1999 accepted 7 May 2001 Abstract - The objective of this paper is to propose a method for simulating and predicting the evolution of wood resources in the Landes de Gascogne region. Lemoine s growth and yield model has been successfully utilized to predict future timber resources from existing data collected in two successive surveys 1977 and 1988 conducted by the National Forest Inventory NFI . Lemoine s model was calibrated by analysing the error in estimation of stand features between the NFI plots and experimental plots originally used to built Lemoine s model. The proposed corrected term is based on the best linear unbiased predictor of the error. The calibrated model exhibited a better accuracy than the original model version. We suggest that coupling the calibrated Lemoine s model with NFI data is a useful method for predicting timber resources at a regional level. wood resource national forest inventory growth model model calibration maritime pine Résumé - Prediction des ressources futures en bois à partir des données d inventaire forestier national. Application au massif de pin maritime Pinuspinaster des Landes de Gascogne.