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L’inventaire forestier national pour un suivi permanent, multi-échelles et multi-thématiques de la forêt française et des ressources bois mobilisables / Antoine Colin in Sciences, eaux & territoires, n° 33 (avril 2020)  

Public [article]  inSciences, eaux & territoires > n° 33 (avril 2020) . - pp 58 - 62 Titre : L’inventaire forestier national pour un suivi permanent, multi-échelles et multi-thématiques de la forêt française et des ressources bois mobilisables Type de document : Article/Communication Auteurs : Antoine Colin , Auteur ; Henri E. Cuny , Auteur Année de publication : 2020 Projets : 1-Pas de projet / Article en page(s) : pp 58 - 62 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Termes IGN] bois sur pied [Termes IGN] changement climatique [Termes IGN] coupe (sylviculture) [Termes IGN] effet de serre [Termes IGN] expertise [Termes IGN] forêt [Termes IGN] France (végétation) [Termes IGN] politique forestière [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) Depuis 1908, la surface forestière française a augmenté de 5,1 millions d’hectares, passant de 10,3 à 15,4 millions d’hectares. Le stock de bois sur pied a quant à lui progressé de 950 millions de mètres cube au cours des trente-cinq dernières années. En parallèle, les attentes des acteurs économiques et de la société ont évolué pour répondre à de nouveaux défis : atténuation de l’effet de serre dans le contexte du changement climatique, émergence de la bioéconomie, biodiversité, etc. Pour accompagner ces évolutions sociétales, l’inventaire forestier national s’adapte en continu en s’appuyant de plus en plus sur l’expertise des partenaires de la filière. Numéro de notice : A2020-181 Affiliation des auteurs : IGN (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.14758/SET-REVUE.2020.3.11 date de publication en ligne : 10/04/2020 En ligne : https://doi.org/10.14758/SET-REVUE.2020.3.11 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94952 [article]

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)  

Public [article]  inForestry, an international journal of forest research > vol 92 n° 3 (July 2019) . - pp 339 - 356 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 projet Langues : 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 forestière Résumé : (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 [article]

Economic losses caused by tree species proportions and site type errors in forest management planning / Arto Haara in Silva fennica, vol 53 n° 2 (2019)  

Public [article]  inSilva fennica > vol 53 n° 2 (2019) Titre : Economic losses caused by tree species proportions and site type errors in forest management planning Type de document : Article/Communication Auteurs : Arto Haara, Auteur ; Annika S. Kangas, Auteur ; Sakari Tuominen, Auteur Année de publication : 2019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] coupe (sylviculture) [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] éclaircie (sylviculture) [Termes IGN] erreur [Termes IGN] Finlande [Termes IGN] identification de plantes [Termes IGN] image 3D [Termes IGN] image aérienne [Termes IGN] image spatiale [Termes IGN] incertitude des données [Termes IGN] inventaire forestier étranger (données) [Vedettes matières IGN] Economie forestière Résumé : (auteur) The aim of this study was to estimate economic losses, which are caused by forest inventory errors of tree species proportions and site types. Our study data consisted of ground truth data and four sets of erroneous tree species proportions. They reflect the accuracy of tree species proportions in four remote sensing data sets, namely 1) airborne laser scanning (ALS) with 2D aerial image, 2) 2D aerial image, 3) 3D and 2D aerial image data together and 4) satellite data. Furthermore, our study data consisted of one simulated site type data set. We used the erroneous tree species proportions to optimise the timing of forest harvests and compared that to the true optimum obtained with ground truth data. According to the results, the mean losses of Net Present Value (NPV) because of erroneous tree species proportions at an interest rate of 3% varied from 124.4 € ha–1 to 167.7 € ha–1. The smallest losses were observed using tree species proportions predicted using ALS data and largest using satellite data. In those stands, respectively, in which tree species proportion errors actually caused economic losses, they were 468 € ha–1 on average with tree species proportions based on ALS data. In turn, site type errors caused only small losses. Based on this study, accurate tree species identification seems to be very important with respect to operational forest inventory. Numéro de notice : A2019-378 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.14214/sf.10089 date de publication en ligne : 17/06/2019 En ligne : https://doi.org/10.14214/sf.10089 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93444 [article]

Using LiDAR to develop high-resolution reference models of forest structure and spatial pattern / Haley L. Wiggins in Forest ecology and management, vol 434 (28 February 2019)  

Public [article]  inForest ecology and management > vol 434 (28 February 2019) . - pp 318 - 330 Titre : Using LiDAR to develop high-resolution reference models of forest structure and spatial pattern Type de document : Article/Communication Auteurs : Haley L. Wiggins, Auteur ; Cara R. Nelson, Auteur ; Andrew J. Larson, Auteur ; Hugh D. Safford, Auteur Année de publication : 2019 Article en page(s) : pp 318 - 330 Note générale : bibliography Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse de groupement [Termes IGN] Californie (Etats-Unis) [Termes IGN] caractérisation [Termes IGN] coupe (sylviculture) [Termes IGN] détection d'arbres [Termes IGN] diamètre des arbres [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] hauteur des arbres [Termes IGN] Mexique [Termes IGN] parc naturel national [Termes IGN] restauration écologique [Termes IGN] structure d'un peuplement forestier [Termes IGN] topographie locale Résumé : (auteur) Successful restoration of degraded forest landscapes requires reference models that adequately capture structural heterogeneity at multiple spatial scales and for specific landforms. Despite this need, managers often lack access to reliable reference information, in large part because field-based methods for assessing variation in forest structure are costly and inherently suffer from limited replication and spatial coverage and, therefore, yield limited insights about the ecological structure of reference forests at landscape scales. LiDAR is a cost-effective alternative that can provide high-resolution characterizations of variation in forest structure among landform types. However, managers and researchers have been reluctant to use LiDAR for characterizing structure because of low confidence in its capacity to approximate actual tree distributions. By calculating bias in LiDAR estimates for a range of tree-height cutoffs, we improved LiDAR’s ability to capture structural variability in terms of individual trees. We assessed bias in the processed LiDAR data by comparing datasets of field-measured and LiDAR-detected trees of various height classes in terms of overall number of trees and estimates of structure and spatial pattern in an important contemporary reference forest, the Sierra de San Pedro Martir National Park, Baja California, Mexico. Agreement between LiDAR- and field-based estimates of tree density, as well as estimates of forest structure and spatial pattern, was maximized by removing trees less than 12 m tall. We applied this height cutoff to LiDAR-detected trees of our study landscape, and asked if forest structure and spatial pattern varied across topographic settings. We found that canyons, shallow northerly, and shallow southerly slopes were structurally similar; each had a greater number of all trees, large trees, and large tree clumps than steep southerly slopes and ridges. Steep northerly slopes supported unique structures, with taller trees than ridges and shorter trees than canyons and shallow southerly slopes. Our results show that characterizations of forest structure based on LiDAR-detected trees are reasonably accurate when the focus is narrowed to the overstory. In addition, our finding of strong variation of forest structure and spatial pattern across topographic settings demonstrates the importance of developing reference models at the landscape scale, and highlights the need for replicated sampling among stands and landforms. Methods developed here should be useful to managers interested in using LiDAR to characterize distributions of medium and large overstory trees, particularly for the development of landscape-scale reference models. Numéro de notice : A2019-013 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.12.012 date de publication en ligne : 24/12/2018 En ligne : https://doi.org/10.1016/j.foreco.2018.12.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91616 [article]

A comparison of two methods of data collection for modelling productivity of harvesters: manual time study and follow-up study using on-board-computer stem records / Julia Brewer in Annals of forest research, vol 61 n° 1 (January - June 2018)  

Public [article]  inAnnals of forest research > vol 61 n° 1 (January - June 2018) . - pp 109 - 124 Titre : A comparison of two methods of data collection for modelling productivity of harvesters: manual time study and follow-up study using on-board-computer stem records Type de document : Article/Communication Auteurs : Julia Brewer, Auteur ; Bruce Talbot, Auteur ; Helmer Belbo, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 109 - 124 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative [Termes IGN] coupe (sylviculture) [Termes IGN] diamètre à hauteur de poitrine [Termes IGN] modèle numérique [Termes IGN] Pinus patula [Termes IGN] productivité [Termes IGN] récolte de bois [Vedettes matières IGN] Sylviculture Résumé : (auteur) Productivity of a mechanized P. patula cut-to-length harvesting operation was estimated and modelled using two methods of data collection: manual time study and follow-up study using StanForD stem files. The objective of the study was to compare the productivity models derived using these two methods to test for equivalence. Manual time studies were completed on four different machines and their operators. Two Ponsse Bear harvesters fitted with H8 heads, and two Ponsse Beaver harvesters, fitted with H6 heads, were included. All machines were equipped with Ponsse Opti2 information system. All four operators had approximately 1 year of experience working with their respective machines. The four machines worked in separate four-tree-wide harvesting corridors, and they each harvested 200 trees. Individual tree diameter at breast height (DBH), and height measurements were made manually. Subsequently, data on the trees in each study were extracted from the StanForD stem reports from each of the harvesters. Cycle times in the stem reports were determined based on the difference between consecutive harvest timestamps. The two methods were compared in terms of their abilities to estimate equivalent measures for tree DBH, volume, and productivity. In all four cases, significant differences were found between the DBH and volume measures derived using the two methods. Subsequently, the volume measures from the manual methods were used as the basis for productivity calculations. Results of the productivity comparisons found no significant differences between the models developed from the two methods. These results suggest that equivalent productivity models can be developed in terms of time using either method, however volume discrepancies indicate a need to reconcile bark and volume functions with the high variability experienced in the country. Numéro de notice : A2019-559 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.15287/afr.2018.962 date de publication en ligne : 13/04/2019 En ligne : https://doi.org/10.15287/afr.2018.962 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93343 [article]

Reconstructing forest canopy from the 3D triangulations of airborne laser scanning point data for the visualization and planning of forested landscapes / Jari Vauhkonen in Annals of Forest Science [en ligne], vol 74 n° 1 (March 2017)  

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Post-fire selective thinning of Arbutus unedo L. coppices keeps animal diversity unchanged: the case of ants / Lidia Quevedo in Annals of Forest Science, vol 71 n° 8 (December 2014)  

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La coupe d'abri : une méthode de transformation forestière archaïque ? / Denis Malecot in La Forêt Privée, n° 311 (janvier-février 2010)

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Natural volatiles impair the response of Hylobius abietis adults to synthetic attractants in Norway spruce clear cut areas / Mihai-Leonard Duduman in Annals of forest research, vol 52 n° 1 (January 2009)    

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Hiver 1679/1680 : une remarquable coupe de chênes, un banal délit forestier, une exceptionnelle pièce à conviction / Michel Bartoli in Revue forestière française, vol 59 n° 2 (mars - avril 2007)  

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Les coupes de taillis : des erreurs persistent / Jacky Jaquet in Forêts de France, n° 417 (octobre 1998)

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