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Utilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National / Sophie Georges (2017)
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Titre : Utilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National Type de document : Mémoire Auteurs : Sophie Georges, Auteur Editeur : Toulouse : Université de Toulouse 2 Jean Jaurès Année de publication : 2017 Autre Editeur : Toulouse : Institut National Polytechnique de Toulouse INPT Importance : 90 p. Format : 21 x 30 cm Note générale : bibliographie
Master 2 Géomatique, ScIences Géomatiques en environneMent et Aménagement (SIGMA)Langues : Français (fre) Descripteur : [Termes IGN] Alsace (France administrative)
[Termes IGN] analyse comparative
[Termes IGN] analyse de données
[Termes IGN] analyse de variance
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] BD forêt
[Termes IGN] chaîne de traitement
[Termes IGN] dalle
[Termes IGN] diamètre des arbres
[Termes IGN] échantillonnage (statistique)
[Termes IGN] échantillonnage de données
[Termes IGN] essence d'arbre
[Termes IGN] estimation statistique
[Termes IGN] feuillu
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] Inventaire Forestier National (organisme France)
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] modèle numérique de sursol
[Termes IGN] modèle numérique de terrain
[Termes IGN] peuplement forestier
[Termes IGN] photo-interprétation
[Termes IGN] Pinophyta
[Termes IGN] post-stratification de données
[Termes IGN] R (langage)
[Termes IGN] stratification de données
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) L’Inventaire Forestier National fournit des données de références concernant la forêt française depuis 1960. La méthode actuellement utilisée repose sur des points d’échantillonnage tirés au sort sur tout le territoire et photo-interprétés, puis pour certains visités, et sur un traitement des données par post-stratification. Celle-ci a jusqu’à présent toujours utilisé les mêmes informations, mais pourrait exploiter d’autres données disponibles, en particulier des modèles de hauteur. À partir de modèles numériques de terrain et d’élévation disponibles pour la région Alsace, un modèle numérique de « hauteur dominante » en huit classes de hauteur a été élaboré pour les forêts alsaciennes. La méthode mise en place vise à une automatisation maximale de ce travail grâce au logiciel R. Ce modèle, ainsi qu’une cartographie simplifiée des essences, ont servi de base à la mise en place de nouvelles stratifications des données sur la période 2010-2014. Celles-ci ont été comparées à la stratification de référence de l’inventaire sans ventilation des données ; puis les stratifications les plus intéressantes, qui se sont avérées être les plus simples, ont été comparées en ventilant les données par différents critères. La stratification par essences regroupées a amélioré les estimations pour les classes de peuplement, l’opposition feuillus / conifères et des essences fréquentes. La stratification par classes de hauteur est plus intéressante pour les classes de diamètre des arbres et la difficulté d’exploitation. Elles n’améliorent par contre pas les résultats par type de propriété forestière ou pour d’autres essences. Note de contenu : 1- L'inventaire des ressources forestières en France
2- La méthode d'inventaire de l'IFN depuis 2004
3- Utilisation de modèles de hauteur en stratification : données et méthodes
4- Résultats : comparaison entre les stratifications créées et la référence
5- Discussion
6- Conclusion généraleNuméro de notice : 24598 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Mémoire masters divers Organisme de stage : SIFE (IGN) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92171 Documents numériques
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Utilisation d’un modèle numérique... - pdf auteurAdobe Acrobat PDFDynamics of fungal community composition, decomposition and resulting deadwood properties in logs of Fagus sylvatica, Picea abies and Pinus sylvestris / Tobias Arnstadt in Forest ecology and management, vol 382 (15 December 2016)
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Titre : Dynamics of fungal community composition, decomposition and resulting deadwood properties in logs of Fagus sylvatica, Picea abies and Pinus sylvestris Type de document : Article/Communication Auteurs : Tobias Arnstadt, Auteur ; Björn Hoppe, Auteur ; Harald Kellner, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 129 - 142 Langues : Anglais (eng) Descripteur : [Termes IGN] Allemagne
[Termes IGN] bois mort
[Termes IGN] Fagus sylvatica
[Termes IGN] Fungi
[Termes IGN] habitat d'espèce
[Termes IGN] habitat forestier
[Termes IGN] lignine
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] richesse floristique
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) In forest ecosystems, deadwood is an important component that provides habitat and contributes to nutrient cycles, as well as to carbon and water storage. The change of wood constituents, nutrients and microbial species richness in the field over the whole time of decomposition has only rarely been studied, in particular not in relation to oxidative enzyme activities (mediating lignin degradation) and different forest management regimes.
To describe wood decomposition, we selected coarse woody debris (CWD) in form of 197 logs of Fagus sylvatica, Picea abies and Pinus sylvestris in forests with different management regimes across three regions in Germany. They were sampled and analyzed for wood density, water content, wood constituents (Klason and acid-soluble lignin, organic extractives, water-soluble lignin fragments), carbon, nitrogen and metals (Al, Ca, Cu, K, Mg, Mn and Zn). Furthermore, the activities of oxidative enzymes like laccase, manganese peroxidase, and general peroxidase were measured. Since filamentous fungi (Basidiomycota, Ascomycota) are the major biological agents of wood decomposition, fungal species richness based on sporocarps and molecular fingerprints was recorded.
Higher forest management intensity had a negative effect on deadwood volume and in consequence on fungal species richness (sporocarps), but hardly to other analyzed variables. Furthermore, there were significant differences between the tree species for the concentrations of wood constituents and most nutrients as well as the activities of oxidative enzymes, although their course during decomposition was mostly similar among the tree species. We found that molecular species richness increased with the period of decomposition in contrast to the number of fruiting species, which was highest in the intermediate stage of decomposition. Both types of species richness increased with increasing volume of the CWD logs. Regarding the entire period of decomposition, white-rot fungi (WRF), based on identification of sporocarps, were the most abundant group of wood-decaying fungi in all three tree species. This corresponds well with the overall presence of laccase and peroxidases and the concomitant substantial loss of lignin, which points to the importance of these enzymes in deadwood decomposition. We found a continuous decomposition and decline of volume-related concentrations in wood constituents and nutrients with time of decomposition. Contrary to volume-related concentrations, the concentrations related to dry mass frequently increased.Numéro de notice : A2016-765 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1016/j.foreco.2016.10.004 En ligne : http://dx.doi.org/10.1016/j.foreco.2016.10.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82401
in Forest ecology and management > vol 382 (15 December 2016) . - pp 129 - 142[article]Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest / Iurii Shendryk in Remote sensing of environment, vol 187 (15 December 2016)
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Titre : Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest Type de document : Article/Communication Auteurs : Iurii Shendryk, Auteur ; Mark Broich, Auteur ; Mirela G. Tulbure, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 202 - 217 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Australie
[Termes IGN] classification orientée objet
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] dépérissement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Eucalyptus (genre)
[Termes IGN] Eucalyptus camaldulensis
[Termes IGN] inondation
[Termes IGN] spectrométrieRésumé : (auteur) Declining forest health can affect crucial ecosystem functions, such as carbon storage in biomass and soils, the regulation of water regimes, the modulation of regional climate and conservation of biodiversity. Airborne laser scanning (ALS) and imaging spectroscopy (IS) are two potentially complementary remote sensing technologies capable of characterizing and monitoring regional forest health. However, the combined use of ALS and IS data to classify the health of individual trees has not yet been assessed. In this study we propose a new approach utilizing ALS and IS combined to characterize the health of individual trees. Firstly, we applied a recently developed bottom-up individual tree delineation algorithm across a structurally complex floodplain eucalypt forest that has experienced episodes of severe dieback over the past six decades. We further calculated ALS and IS indices for delineated tree crowns and used them as predictor variables in machine learning models. We trained and evaluated an object-oriented random forest classifier against field-measured tree crown dieback and transparency ratios, as indicators of eucalypt tree health and crown density, respectively. Our results showed that dieback levels of individual trees can be classified using ALS and IS with an overall accuracy of 81% and a kappa score of 0.66, while the classification of tree crown transparency levels had an overall accuracy of 70% and a kappa score of 0.5. Returned pulse width, intensity and density related ALS indices were the most important predictors in the tree health classification, as they accounted for > 40% of the variance in the data. At the forest level in terms of dieback, 81.5% of correctly delineated trees were classified as healthy, 12.3% as declining and 6.2% as dying or dead. Dieback occurred primarily in areas that were flooded Numéro de notice : A2016-767 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2016.10.014 En ligne : http://dx.doi.org/10.1016/j.rse.2016.10.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82411
in Remote sensing of environment > vol 187 (15 December 2016) . - pp 202 - 217[article]Self-thinning in four pine species : an evaluation of potential climate impacts / Pau Brunet-Navarro in Annals of Forest Science, vol 73 n° 4 (December 2016)
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Titre : Self-thinning in four pine species : an evaluation of potential climate impacts Type de document : Article/Communication Auteurs : Pau Brunet-Navarro, Auteur ; Frank J. Sterck, Auteur ; Jordi Vayreda, Auteur ; Jordi Martinez-Vilalta, Auteur ; Godefridus M.J. Mohren, Auteur Année de publication : 2016 Article en page(s) : pp 1025 - 1034 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] auto-éclaircie
[Termes IGN] Catalogne (Espagne)
[Termes IGN] changement climatique
[Termes IGN] diamètre des arbres
[Termes IGN] Pinus halepensis
[Termes IGN] Pinus mugo subsp. uncinata
[Termes IGN] Pinus nigra
[Termes IGN] Pinus sylvestris
[Termes IGN] variabilité
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (Auteur) Self-thinning lines are species- and climate-specific, and they should be used when assessing the capacity of different forest stands to increase biomass/carbon storage.
Context : The capacity of forests to store carbon can help to mitigate the effects of atmospheric CO2 rise and climate change. The self-thinning relationship (average size measure ∼ stand density) has been used to identify the potential capacity of biomass storage at a given density and to evaluate the effect of stand management on stored carbon. Here, a study that shows how the self-thinning line varies with species and climate is presented.
Aims : Our main objective is thus testing whether species identity and climate affect the self-thinning line and therefore the potential amount of carbon stored in living biomass.
Methods : The Ecological and Forest Inventory of Catalonia was used to calculate the self-thinning lines of four common coniferous species in Catalonia, NE Iberian Peninsula (Pinus halepensis, Pinus nigra, Pinus sylvestris and Pinus uncinata). Quadratic mean diameter at breast height was chosen as the average size measure. The self-thinning lines were used to predict the potential diameter at a given density and study the effect of environmental variability.
Results : Species-specific self-thinning lines were obtained. The self-thinning exponent was consistent with the predicted values of −3/2 and −4/3 for mass-based scaling for all species except P. sylvestris. Species identity and climatic variability within species affected self-thinning line parameters.
Conclusion : Self-thinning lines are species-specific and are affected by climatic conditions. These relationships can be used to refine predictions of the capacity of different forest stands to increase biomass/carbon storage.Numéro de notice : A2016--013 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1007/s13595-016-0585-y En ligne : http://dx.doi.org/10.1007/s13595-016-0585-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83859
in Annals of Forest Science > vol 73 n° 4 (December 2016) . - pp 1025 - 1034[article]Tree diversity effect on dominant height in temperate forest / Patrick Vallet in Forest ecology and management, vol 381 (1 December 2016)
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Titre : Tree diversity effect on dominant height in temperate forest Type de document : Article/Communication Auteurs : Patrick Vallet, Auteur ; Thomas Pérot, Auteur Année de publication : 2016 Article en page(s) : pp 106 - 114 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies alba
[Termes IGN] biodiversité végétale
[Termes IGN] Fagus sylvatica
[Termes IGN] forêt tempérée
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] peuplement forestier
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] Quercus sessiliflora
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) For forest ecosystems, studies dealing with diversity-productivity relationships are often based on diameter increment observations. Studying how height growth is affected by species interactions can provide new insights on this issue. We studied the mixture effect on dominant height growth in order to answer two questions. Do species interactions in mixed forest modify the dominant height growth of species? Does the diversity effect on diameter found in previous studies correspond to actual overyielding, or rather to an effect on allocation of growth between diameter and height?
We used the French National Forest Inventory (NFI) data to model the mixture effect on dominant height. We included biophysical factors in the models to compare the dominant height of mixed and monospecific stands, all other parameters being equal. We studied five target species – Quercus petraea (Matt.) Liebl., Fagus sylvatica L., Picea abies (L.) Karst., Abies alba Mill., and Pinus sylvestris L. – in association with sixteen other species.
Mixture effects on dominant height were weak, though often significant. They were either positive or negative according to species association. We showed that mixture effect on dominant height corresponds to a leveling process between species: the taller one limits its growth while the smaller one’s growth increases. Furthermore, most of the time, mixture effects on dominant height are in the same direction as those found on diameter, though with a lower magnitude. Our results confirm that tree diversity results in overyielding rather than in a different allocation of volume between the parts of the tree.Numéro de notice : A2016-703 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1016/j.foreco.2016.09.024 En ligne : http://dx.doi.org/10.1016/j.foreco.2016.09.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82072
in Forest ecology and management > vol 381 (1 December 2016) . - pp 106 - 114[article]Measure of temporal variation of P-Band radar cross section and temporal coherence of a temperate tree / Clément Albinet in IEEE Transactions on geoscience and remote sensing, vol 54 n° 11 (November 2016)
PermalinkQuantifying early-seral forest composition with remote sensing / Rayma A Cooley in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 11 (November 2016)
PermalinkNatural regeneration of Pinus pinaster and Eucalyptus globulus from plantation into adjacent natural habitats / Patricia Fernandes in Forest ecology and management, vol 378 (15 October 2016)
PermalinkAccuracy of tree geometric parameters depending on the LiDAR data density / Edyta Hadas in European journal of remote sensing, vol 49 n° 1 (2016)
PermalinkAutomatic segment-level tree species recognition using high resolution aerial winter imagery / Anton Kuzmin in European journal of remote sensing, vol 49 n° 1 (2016)
PermalinkL’écocomplexe de Païolive en Ardèche méridionale (France) : un pic de biodiversité du hotspot méditerranéen / Patrick Blandin in Ecologia mediterranea, vol 42 n° 2 (2016)
PermalinkEvaluating EO1-Hyperion capability for mapping conifer and broadleaved forests / Nicola Puletti in European journal of remote sensing, vol 49 n° 1 (2016)
PermalinkInfluence of tree species complexity on discrimination performance of vegetation indices / Azadeh Ghiyamat in European journal of remote sensing, vol 49 n° 1 (2016)
PermalinkDead wood availability in managed Swedish forests – Policy outcomes and implications for biodiversity / Bengt Gunnar Jonsson in Forest ecology and management, vol 376 (15 September 2016)
PermalinkEstimating forest species abundance through linear unmixing of CHRIS/PROBA imagery / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
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