Centre de documentation
scientifique

An overview of existing and promising technologies for national forest monitoring / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)  

Public [article]  inAnnals of Forest Science > vol 72 n° 6 (September 2015) . - pp 779 - 788 Titre : An overview of existing and promising technologies for national forest monitoring Type de document : Article/Communication Auteurs : Matieu Henry, Auteur ; Maxime Réjou-Méchain, Auteur ; Miguel Cifuentes Jara, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 779 - 788 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] évolution technologique [Termes IGN] surveillance forestière [Vedettes matières IGN] Inventaire forestier Résumé : (auteur) [introduction] [...] During the last decades, the amount of information collected during forest inventories has thus grown rapidly and has, in turn, improved our ability to survey and manage many services such as biodiversity, carbon sequestration, or recreation. However, national forest monitoring approaches remain very heterogeneous from one country to another, and many national systems have still not taken the full advantage of newly operational technologies, despite an increasing availability of free, or at least less costly, data. This is probably because the use of these technologies to assess forest structural properties is, for the most part, used by only a few specialists and is largely confined to the research sector. The objective of this paper is to raise awareness by presenting, in a comprehensible way, some existing and promising technologies for supporting national forest monitoring. Numéro de notice : A2015-411 Affiliation des auteurs : non IGN Thématique : FORET/SOCIETE NUMERIQUE Nature : Article DOI : 10.1007/s13595-015-0463-z Date de publication en ligne : 20/03/2015 En ligne : https://doi.org/10.1007/s13595-015-0463-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76899 [article]

Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)  

Public [article]  inAnnals of Forest Science > vol 72 n° 6 (September 2015) . - pp 769 - 777 Titre : Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty Type de document : Article/Communication Auteurs : Matieu Henry, Auteur ; Miguel Cifuentes Jara, Auteur ; Maxime Réjou-Méchain, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 769 - 777 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes IGN] arbre (flore) [Termes IGN] biomasse [Termes IGN] disponibilité des données [Termes IGN] estimation statistique [Termes IGN] incertitude des données [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] inventaire forestier national (données France) [Termes IGN] masse végétale [Termes IGN] sylviculture [Termes IGN] volume (grandeur) Résumé : (auteur) Key message : Three options are proposed to improve the accuracy of national forest biomass estimates and decrease the uncertainty related to tree model selection depending on available data and national contexts. Introduction : Different tree volume and biomass equations result in different estimates. At national scale, differences of estimates can be important while they constitute the basis to guide policies and measures, particularly in the context of climate change mitigation. Method : Few countries have developed national tree volume and biomass equation databases and have explored its potential to decrease uncertainty of volume and biomasttags estimates. With the launch of the GlobAllomeTree webplatform, most countries in the world could have access to country-specific databases. The aim of this article is to recommend approaches for assessing tree and forest volume and biomass at national level with the lowest uncertainty. The article highlights the crucial need to link allometric equation development with national forest inventory planning efforts. Results : Models must represent the tree population considered. Data availability; technical, financial, and human capacities; and biophysical context, among other factors, will influence the calculation process. Conclusion : Three options are proposed to improve accuracy of national forest assessment depending on identified contexts. Further improvements could be obtained through improved forest stratification and additional non-destructive field campaigns. Numéro de notice : A2015-410 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article DOI : 10.1007/s13595-015-0465-x Date de publication en ligne : 20/03/2015 En ligne : https://doi.org/10.1007/s13595-015-0465-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76898 [article]