Détail de l'auteur
Auteur Allan Sims |
Documents disponibles écrits par cet auteur (4)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesGrowing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation / Thomas Gschwantner in Forest ecology and management, vol 505 (February-1 2022)
Titre : Growing stock monitoring by European National Forest Inventories: Historical origins, current methods and harmonisation Type de document : Article/Communication Auteurs : Thomas Gschwantner, Auteur ; Iciar A. Alberdi, Auteur ; Sébastien Bauwens, Auteur ; Susann Bender, Auteur ; Dragan Borota, Auteur ; Michal Bosela, Auteur ; Olivier Bouriaud Année de publication : 2022 Projets : 1-Pas de projet / Article en page(s) : n° 119868 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bois sur pied
[Termes IGN] changement climatique
[Termes IGN] Europe (géographie politique)
[Termes IGN] gestion forestière durable
[Termes IGN] harmonisation des données
[Termes IGN] histoire
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] peuplement forestier
[Termes IGN] ressources forestières
[Termes IGN] volume en bois
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Wood resources have been essential for human welfare throughout history. Also nowadays, the volume of growing stock (GS) is considered one of the most important forest attributes monitored by National Forest Inventories (NFIs) to inform policy decisions and forest management planning. The origins of forest inventories closely relate to times of early wood shortage in Europe causing the need to explore and plan the utilisation of GS in the catchment areas of mines, saltworks and settlements. Over time, forest surveys became more detailed and their scope turned to larger areas, although they were still conceived as stand-wise inventories. In the 1920s, the first sample-based NFIs were introduced in the northern European countries. Since the earliest beginnings, GS monitoring approaches have considerably evolved. Current NFI methods differ due to country-specific conditions, inventory traditions, and information needs. Consequently, GS estimates were lacking international comparability and were therefore subject to recent harmonisation efforts to meet the increasing demand for consistent forest resource information at European level. As primary large-area monitoring programmes in most European countries, NFIs assess a multitude of variables, describing various aspects of sustainable forest management, including for example wood supply, carbon sequestration, and biodiversity. Many of these contemporary subject matters involve considerations about GS and its changes, at different geographic levels and time frames from past to future developments according to scenario simulations. Due to its historical, continued and currently increasing importance, we provide an up-to-date review focussing on large-area GS monitoring where we i) describe the origins and historical development of European NFIs, ii) address the terminology and present GS definitions of NFIs, iii) summarise the current methods of 23 European NFIs including sampling methods, tree measurements, volume models, estimators, uncertainty components, and the use of air- and space-borne data sources, iv) present the recent progress in NFI harmonisation in Europe, and v) provide an outlook under changing climate and forest-based bioeconomy objectives. Numéro de notice : A2022-040 Affiliation des auteurs : LIF+Ext (2020- ) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2021.119868 Date de publication en ligne : 12/12/2021 En ligne : https://doi.org/10.1016/j.foreco.2021.119868 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99386
in Forest ecology and management > vol 505 (February-1 2022) . - n° 119868[article]
Titre : Planning of commercial thinnings using machine learning and airborne Lidar data Type de document : Article/Communication Auteurs : Tauri Arumäe, Auteur ; Mait Lang, Auteur ; Allan Sims, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 206 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] apprentissage automatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] éclaircie (sylviculture)
[Termes IGN] Estonie
[Termes IGN] gestion forestière
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle linéaire
[Termes IGN] planification
[Termes IGN] semis de pointsRésumé : (auteur) The goal of this study was to predict the need for commercial thinning using airborne lidar data (ALS) with random forest (RF) machine learning algorithm. Two test sites (with areas of 14,750 km2 and 12,630 km2) were used with a total of 1053 forest stands from southwestern Estonia and 951 forest stands from southeastern Estonia. The thinnings were predicted based on the ALS measurements in 2019 and 2017. The two most important ALS metrics for predicting the need for thinning were the 95th height percentile and the canopy cover. The prediction accuracy based on validation stands was 93.5% for southwestern Estonia and 85.7% for southeastern Estonia. For comparison, the general linear model prediction accuracy was less for both test sites—92.1% for southwest and 81.8% for southeast. The selected important predictive ALS metrics differed from those used in the RF algorithm. The cross-validation of the thinning necessity models of southeastern and southwestern Estonia showed a dependence on geographic regions. Numéro de notice : A2022-122 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f13020206 Date de publication en ligne : 29/01/2022 En ligne : https://doi.org/10.3390/f13020206 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99674
in Forests > vol 13 n° 2 (February 2022) . - n° 206[article]
Titre : Harmonised projections of future forest resources in Europe Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Ambros Berger, Auteur ; Thomas Gschwantner, Auteur ; Klemens Schadauer, Auteur ; Philippe Lejeune, Auteur ; Jérôme Perin, Auteur ; Radim Adolt, Auteur ; Miroslav Zeman, Auteur ; Vivian Kvist Johannsen, Auteur ; Sebastian Kepfer-Rojas, Auteur ; Allan Sims, Auteur ; Claire Bastick Année de publication : 2019 Projets : DIABOLO / Packalen, Tuula Article en page(s) : n° 79 Note générale : bibliographie
Correction de cet article https://link.springer.com/article/10.1007%2Fs13595-019-0872-5Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse
[Termes IGN] bois sur pied
[Termes IGN] Europe (géographie politique)
[Termes IGN] foresterie
[Termes IGN] gestion forestière durable
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] politique forestière
[Termes IGN] prévision
[Termes IGN] puits de carbone
[Termes IGN] ressources forestières
[Vedettes matières IGN] Economie forestièreRésumé : (auteur) A dataset of forest resource projections in 23 European countries to 2040 has been prepared for forest-related policy analysis and decision-making. Due to applying harmonised definitions, while maintaining country-specific forestry practices, the projections should be usable from national to international levels. The dataset can be accessed at https://doi.org/10.5061/dryad.4t880qh . The associated metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/eng/catalog.search#/metadata/8f93e0d6-b524-43bd-bdb8-621ad5ae6fa9 Numéro de notice : A2019-322 Affiliation des auteurs : IGN+Ext (2012-2019) Autre URL associée : correction de l'article Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-019-0863-6 Date de publication en ligne : 29/07/2019 En ligne : https://doi.org/10.1007/s13595-019-0863-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93299
in Annals of Forest Science > Vol 76 n° 3 (September 2019) . - n° 79[article]
Titre : Overview of methods and tools for evaluating future woody biomass availability in European countries Type de document : Article/Communication Auteurs : Susana Barreiro, Auteur ; Mart-Jan Schelhaas, Auteur ; Gerald Kändler, Auteur ; Clara Antón-Fernández, Auteur ; Antoine Colin Année de publication : 2016 Article en page(s) : pp Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse forestière
[Termes IGN] disponibilité des données
[Termes IGN] Europe (géographie politique)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] modèle de simulation
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Context : Knowledge of realistic and sustainable wood availability in Europe is highly relevant to define climate change mitigation strategies at national and European level, to support the development of realistic targets for increased use of renewable energy sources and of industry wood. Future scenarios at European level highlight a deficit of domestic wood supply compared to wood consumption, and some European countries state they are harvesting above the increment.
Aims : Several country-level studies on wood availability have been performed for international reporting. However, it remains essential to improve the knowledge on the projection methods used across Europe to better evaluate forecasts.
Methods : Analysis was based on descriptions supplied by the national correspondents involved in USEWOOD COST Action (FP1001), and further enriched with additionaldata from international reports that allowed characterisation of the forests in these countries for the same base year.
Results : Methods currently used for projecting wood availability were described for 21 European countries. Projection systems based on National Forest Inventory (NFI) data prevail over methods based on forest management plans. Only a few countries lack nationwide projection tools, still using tools developed for specific areas.
Conclusions : A wide range of NFI-based systems for projecting wood availability exists, being under permanent improvement. The validation of projection forecasts and the inclusion of climate sensitive growth models into these tools are common aims for most countries. Cooperation among countries would result in higher efficiency when developing and improving projection tools and better comparability among them.Numéro de notice : A2016--087 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-016-0564-3 Date de publication en ligne : 17/06/2016 En ligne : http://doi.org/10.1007/s13595-016-0564-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84576
in Annals of Forest Science > vol 73 n° 4 (December 2016) . - pp[article]
