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Using classification trees to predict forest structure types from LiDAR data / Chiara Torresan in Annals of forest research, vol 59 n° 2 (July - December 2016)  

Public [article]  inAnnals of forest research > vol 59 n° 2 (July - December 2016) . - pp Titre : Using classification trees to predict forest structure types from LiDAR data Type de document : Article/Communication Auteurs : Chiara Torresan, Auteur ; Piermaria Corona, Auteur ; Gianfranco Scrinzi, Auteur ; Joan Valls Marsal, Auteur Année de publication : 2016 Article en page(s) : pp Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] centroïde [Termes IGN] classification non dirigée [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] hauteur des arbres [Termes IGN] structure d'un peuplement forestier [Termes IGN] surface terrière Numéro de notice : A2016-908 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.15287/afr.2016.423 En ligne : http://dx.doi.org/10.15287/afr.2016.423 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83077 [article]

Forest vegetation in western Romania in relation to climate variables: Does community composition reflect modelled tree species distribution? / S. Heinrichs in Annals of forest research, vol 59 n° 2 (July - December 2016)  

Public [article]  inAnnals of forest research > vol 59 n° 2 (July - December 2016) . - pp 219 - 236 Titre : Forest vegetation in western Romania in relation to climate variables: Does community composition reflect modelled tree species distribution? Type de document : Article/Communication Auteurs : S. Heinrichs, Auteur ; Helge Walentowski, Auteur ; E. Bergmeier, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 219 - 236 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique [Termes IGN] composition floristique [Termes IGN] Europe centrale [Termes IGN] Fagus sylvatica [Termes IGN] forêt thermophile [Termes IGN] phytosociologie [Termes IGN] Quercus sessiliflora [Termes IGN] Roumanie [Termes IGN] unité phytosociologique [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) European beech (Fagus sylvatica L.) is the prevailing tree species of mesic forests in Central Europe. Increasing summer temperatures and decreasing precipitation, as climate change scenarios predict, may, however, negatively influence beech growth and induce a shift to more thermophilous forest communities. Temperatures as expected in the future for western Central Europe are currently found in parts of western Romania. In light of this climate analogy we investigated forest vegetation as an indicator for future vegetation changes in five regions of western Romania representing a climatic gradient. We related species composition to climate variables and examined if tree and understorey species composition respond similarly to the climatic gradient. We further analysed if tree species occurrences correspond with their modelled distance to the rear niche edge. We found evidence for climatic effects on vegetation composition among regions as well as within deciduous and pine forests, respectively. This underlines that vegetation composition is a useful indicator for environmental change. Tree and understorey species compositions were closely linked showing that community-based characterization of forest stands can provide additional information on tree species suitability along environmental gradients. Both, vegetation composition and a climatic marginality index demonstrate the rear niche edge occurrence of beech in the studied sites of Romania and can predict the site suitability for different tree species. While vegetation surveys indicate Quercus petraea to be associated to moderately mesic forests, the marginality index suggested an inner niche position of sessile oak along the climatic gradient. Phytosociological relevés that differentiate between subspecies (or microspecies) of sessile oak with differing habitat requirements should be considered to complement national forest inventories and species distribution maps when modelling rear distribution edges. We conclude that climate driven forest vegetation composition in western Romania is a suitable analogon and may indicate future forest development in western Central Europe. Numéro de notice : A2016--094 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.15287/afr.2016.692 En ligne : http://doi.org/10.15287/afr.2016.692 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84646 [article]

Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods / X. Tang in Annals of forest research, vol 59 n° 2 (July - December 2016)  

Public [article]  inAnnals of forest research > vol 59 n° 2 (July - December 2016) . - pp 269 - 280 Titre : Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods Type de document : Article/Communication Auteurs : X. Tang, Auteur ; L. Fehrmann, Auteur ; Fengying Guan, Auteur ; David I. Forrester, Auteur ; R. Guisasola, Auteur ; C. Kleinn, Auteur Année de publication : 2016 Article en page(s) : pp 269 - 280 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies (genre) [Termes IGN] biomasse forestière [Termes IGN] Chine [Termes IGN] estimation statistique [Termes IGN] feuillu [Termes IGN] inventaire forestier étranger (données) [Termes IGN] puits de carbone [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) Several comparative studies have reported that there can be great discrepancies between different methods used to estimate forest biomass. With the development of carbon markets, an accurate estimation at the regional scale (i.e. county level) is becoming increasingly important for local government. In this study, we applied five methodologies [continuous biomass expansion factor (CBEF) approach, mean biomass density (MB) approach, mean biomass expansion factor (MBEF) approach, national continuous biomass expansion factors (NCBEF) proposed by Fang et al (2002), standard IPCC approach] to estimate the total biomass for Shitai County, China. The CBEF is generally considered to provide the most realistic estimates in term of regional biomass because CBEF reflects the change of BEF to stand density, stand age and site conditions. The forests of the whole county were divided into four forest types, namely Chinese fir plantations (CF), hardwood broadleaved forests (HB), softwood–broadleaved forests (SB) and mason pine forests (MP) according to the local forest management inventory of 2004. Generally, the MBEF approach overestimated forest biomass while the IPCC approach underestimated forest biomass for all forest types when CBEF derived biomass was used as a control. The MB approach provided the most similar biomass estimates for all forest types and could be an alternative approach when a CBEF equation is lacking in the study area. The total biomass derived from MBEF was highest at 1.44×107 t, followed by 1.32 ×107 t from CBEF, 1.31 ×107 t from NCBEF, 1.25 ×107 t from MB and 1.16 ×107 t from IPCC. Our results facilitate method selection for regional forest biomass estimation and provide statistical evidence for local government planning to enter the potential carbon market. Numéro de notice : A2016--095 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.15287/afr.2016.574 En ligne : http://doi.org/10.15287/afr.2016.574 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84647 [article]