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Spatiotemporal variation in the relationship between boreal forest productivity proxies and climate data / Clémentine Ols in Dendrochronologia, vol 58 (December 2019)  

Public [article]  inDendrochronologia > vol 58 (December 2019) . - n° 125648 Titre : Spatiotemporal variation in the relationship between boreal forest productivity proxies and climate data Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Ingvil Kålås, Auteur ; Igor Drobyshev, Auteur ; Lars Söderström, Auteur ; Annika Hofgaard, Auteur Année de publication : 2019 Projets : PREREAL / Ali, Ahmed Adam Article en page(s) : n° 125648 Note générale : bibliographie This work is a product under the NINA’s strategic institute program portfolio and the PREREAL project funded by the Research Council of Norway (grant no.160022/F40 and260400/E10; AH), and part of NordicDendro, a Nordic-Canadian network on forest growth research, supported by Nordic Council of Ministers (grant no.12,262; ID). Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] données météorologiques [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] forêt boréale [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] Norvège [Termes descripteurs IGN] Pinus sylvestris [Termes descripteurs IGN] productivité [Termes descripteurs IGN] puits de carbone [Termes descripteurs IGN] série temporelle [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) The impacts of climate change on high-latitude forest ecosystems are still uncertain. Divergent forest productivity trends have recently been reported both at the local and regional level challenging the projections of boreal tree growth dynamics. The present study investigated (i) the responses of different forest productivity proxies to monthly climate (temperature and precipitation) through space and time; and (ii) the local coherency between these proxies through time at four high-latitude boreal Scots pine sites (coastal and inland) in Norway. Forest productivity proxies consisted of two proxies representing stem growth dynamics (radial and height growth) and one proxy representing canopy dynamics (cumulative May-to-September Normalized Difference Vegetation Index (NDVI)). Between-proxy and climate-proxy correlations were computed over the 1982–2011 period and over two 15-yr sub-periods. Over the entire period, radial growth significantly correlated with current year July temperature, and height growth and cumulative NDVI significantly correlated with previous and current growing season temperatures. Significant climate responses were quite similar across sites, despite some higher sensitivity to non-growing season climate at inland sites. Significant climate-proxy correlations identified over the entire period were temporarily unstable. Local coherency between proxies was generally insignificant. The spatiotemporal instability in climate-proxy correlations observed for all proxies underlines evolving responses to climate and challenges the modelling of forest productivity. The general lack of local coherency between proxies at our four study sites suggests that forest productivity estimations based on a single proxy should be considered with great caution. The combined use of different forest growth metrics may help circumvent uncertainties in capturing responses of forest productivity to climate variability and improve estimations of carbon sequestration by forest ecosystems. Numéro de notice : A2019-618 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.dendro.2019.125648 date de publication en ligne : 06/11/2019 En ligne : https://doi.org/10.1016/j.dendro.2019.125648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95346 [article]

Site and age-dependent responses of Picea abies growth to climate variability / Petr Čermák in European Journal of Forest Research, vol 138 n° 3 (June 2019)  

Public [article]  inEuropean Journal of Forest Research > vol 138 n° 3 (June 2019) . - pp 445 - 460 Titre : Site and age-dependent responses of Picea abies growth to climate variability Type de document : Article/Communication Auteurs : Petr Čermák, Auteur ; Michal Rybníček, Auteur ; Tomas Zid, Auteur ; Non-répertorié, Auteur ; Non-répertorié, Auteur Année de publication : 2019 Article en page(s) : pp 445 - 460 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] dendrochronologie [Termes descripteurs IGN] forêt boréale [Termes descripteurs IGN] Norvège [Termes descripteurs IGN] Picea abies [Termes descripteurs IGN] précipitation [Termes descripteurs IGN] température au sol Résumé : (Auteur) Knowledge about spatiotemporal variability of climate change effect on tree-ring width (TRW) and crown condition is essential to optimize the modelling of future forest ecosystem responses to the changing climate. Geographical differences in the climate–growth relationship are a reflection of the regional climatic conditions mainly. In this study, 175 Picea abies trees from the north-western edge of its geographical distribution in Central Norway were evaluated with respect to geographical and age-dependent differences during the common period of 1950–2015. The results showed that the most significant positive correlations between TRW and the current June temperature were unstable although the temperature increased. The correlations suddenly started to decrease (regardless of the site placement and tree age) at the beginning of the 1990s, but subsequently unexpectedly increased in the 2010s. The superposed epoch analysis revealed longer TRW regeneration of the southern plots (except over-mature trees) after negative pointer years compared to the northern plots. Previous summer temperature and related physiological processes (cone crops, storage of nutrients, etc.) significantly negatively affected P. abies growth in the current year. Additionally, our results showed that the selection of the chronology version (standard or residual) significantly affects the resulting correlations and thus must be carefully considered in dendroclimatological studies. Our main outputs can contribute to better understanding of the climate–growth relationship variability and general prediction of the radial growth. Numéro de notice : A2019-233 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10342-019-01182-6 date de publication en ligne : 23/02/2019 En ligne : https://doi.org/10.1007/s10342-019-01182-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92747 [article]

Precise DEM extraction from Svalbard using 1936 high oblique imagery / Luc Girod in Geoscientific instrumentation methods and data systems, vol 7 n° 4 ([01/10/2018])    

Public [article]  inGeoscientific instrumentation methods and data systems > vol 7 n° 4 [01/10/2018] . - pp 277 - 288 Titre : Precise DEM extraction from Svalbard using 1936 high oblique imagery Type de document : Article/Communication Auteurs : Luc Girod, Auteur ; Niels Ivar Nielsen, Auteur ; Frédérique Couderette, Auteur ; Christopher Nuth, Auteur ; Andreas Kääb, Auteur Année de publication : 2018 Article en page(s) : pp 277 - 288 Note générale : bibliographie The study was funded by the European Research Council under the European Union's Seventh Framework Program (FP/2007-2013)/ERC grant agreement no. 320816 and the ESA projects Glaciers_cci (4000109873/14/I-NB), DUE GlobPermafrost (4000116196/15/IN-B), and CCI_Permafrost (4000123681/18/I-NB). Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] image aérienne oblique [Termes descripteurs IGN] MicMac [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] photographie aérienne oblique [Termes descripteurs IGN] Python (langage de programmation) [Termes descripteurs IGN] structure-from-motion [Termes descripteurs IGN] Svalbard [Termes descripteurs IGN] zone polaire Résumé : (auteur) Stretching time series further in the past with the best possible accuracy is essential to the understanding of climate change impacts and geomorphological processes evolving on decadal-scale time spans. In the first half of the twentieth century, large parts of the polar regions were still unmapped or only superficially so. To create cartographic data, a number of historic photogrammetric campaigns were conducted using oblique imagery, which is easier to work with in unmapped environments as collocating images is an easier task for the human eye given a more familiar viewing angle and a larger field of view. Even if the data obtained from such campaigns gave a good baseline for the mapping of the area, the precision and accuracy are to be considered with caution. Exploiting the possibilities arising from modern image processing tools and reprocessing the archives to obtain better data is therefore a task worth the effort. The oblique angle of view of the data is offering a challenge to classical photogrammetric tools, but the use of modern structure-from-motion (SfM) photogrammetry offers an efficient and quantitative way to process these data into terrain models. In this paper, we propose a good practice method for processing historical oblique imagery using free and open source software (MicMac and Python) and illustrate the process using images of the Svalbard archipelago acquired in 1936 by the Norwegian Polar Institute. On these data, our workflow provides 5 m resolution, high-quality elevation data (SD 2 m for moderate terrain) as well as orthoimages that allow for the reliable quantification of terrain change when compared to more modern data. Numéro de notice : A2018-661 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/gi-7-277-2018 date de publication en ligne : 15/10/2018 En ligne : http://dx.doi.org/10.5194/gi-7-277-2018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93842 [article]

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La propriété en 3D : état des lieux / Anonyme in Géomatique expert, n° 123 (juillet - août 2018)

Public [article]  inGéomatique expert > n° 123 (juillet - août 2018) Titre : La propriété en 3D : état des lieux Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2018 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cadastre [Termes descripteurs IGN] base de données foncières [Termes descripteurs IGN] base de données localisées 3D [Termes descripteurs IGN] Colombie-Britannique (Canada) [Termes descripteurs IGN] Espagne [Termes descripteurs IGN] France (administrative) [Termes descripteurs IGN] Genève [Termes descripteurs IGN] Norvège [Termes descripteurs IGN] Pologne [Termes descripteurs IGN] propriété foncière [Termes descripteurs IGN] Queensland (Australie) [Termes descripteurs IGN] Suède Résumé : (éditeur) En Suisse comme partout ailleurs, la densification du tissu urbain implique de construire des bâtiments élevés qui sont ensuite cogérés par plusieurs propriétaires. Se pose alors le problème de la représentation cadastrale, et SIG, de ces divisions en volumes. Numéro de notice : A2018-269 Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90329 [article]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
IFN-001-P002065	PER	Revue	Nogent-sur-Vernisson	Salle périodiques	Exclu du prêt

Effects of terrain slope and aspect on the error of ALS-based predictions of forest attributes / Non-répertorié in Forestry, an international journal of forest research, vol 91 n° 2 (April 2018)  

Public [article]  inForestry, an international journal of forest research > vol 91 n° 2 (April 2018) . - pp 225 - 237 Titre : Effects of terrain slope and aspect on the error of ALS-based predictions of forest attributes Type de document : Article/Communication Auteurs : Non-répertorié, Auteur ; Ole Martin Bollandsås, Auteur ; Non-répertorié, Auteur ; Erik Næsset, Auteur ; Terje Gobakken, Auteur Année de publication : 2018 Article en page(s) : pp 225 - 237 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse de variance [Termes descripteurs IGN] données dendrométriques [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] inventaire forestier (techniques et méthodes) [Termes descripteurs IGN] inventaire forestier étranger (données) [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] Norvège [Termes descripteurs IGN] pente [Termes descripteurs IGN] régression non linéaire [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) Wall-to-wall forest management inventories with the area-based method using airborne laser scanner (ALS) data are operational in many countries. With this method, empirical relationships are established between ALS metrics and ground reference observations of forest attributes, and wall-to-wall predictions can be made over large areas. However, the prediction errors may be influenced by terrain slope and aspect because the properties of the ALS point cloud are dependent on these factors. Two datasets covering wide ranges of terrain slope and aspect, collected in the western part of Norway, were analysed. The first dataset represented sample plots from an ordinary operational forest management inventory and the second dataset were collected as an experimental dataset where clusters of sample plots were distributed on slopes with different inclinations. Six forest attributes were predicted using non-linear regression and the prediction errors were analysed using univariate- and multivariate analysis of variance. The results showed that slope and aspect affected the prediction errors, but that the effects were small in magnitude. Thus, the current study concludes that terrain effects seem to be negligible in operational forest inventories. Numéro de notice : A2018-652 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpx058 date de publication en ligne : 30/01/2018 En ligne : https://doi.org/10.1093/forestry/cpx058 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93238 [article]

Value of airborne laser scanning and digital aerial photogrammetry data in forest decision making / Annika S. Kangas in Silva fennica, vol 52 n° 1 ([01/02/2018])  

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Generating terrestrial glacier views from historic airphotos for comparison with contemporary ground photographs / Marion Holst (2018) 

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Digital aerial photogrammetry can efficiently support large-area forest inventories in Norway / Lars Johannes in Forestry, an international journal of forest research, vol 90 n° 5 (December 2017)  

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Enhanced MODIS atmospheric total water vapour content trends in response to Arctic amplification / Dunya Alraddawi in Atmosphere, vol 8 n° 12 (December 2017)  

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Habitat connectivity affects specialist species richness more than generalists in veteran trees / Anne Sverdrup-Thygeson in Forest ecology and management, vol 403 (1 November 2017)  

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Tree species classification using within crown localization of waveform LiDAR attributes / Rosmarie Blomley in ISPRS Journal of photogrammetry and remote sensing, vol 133 (November 2017)  

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The influence of spatial scales on Red List composition: Forest species in Fennoscandia / Lise Tingstad in Global ecology and conservation, vol 11 (July 2017)  

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Development of a sampling protocol for monitoring snow melt using photogrammetry / Guillaume Sutter (2017) 

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The effects of temporal differences between map and ground data on map-assisted estimates of forest area and biomass / Ronald E. McRoberts in Annals of Forest Science [en ligne], vol 73 n° 4 (December 2016)  

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A method for automated snow avalanche debris detection through use of synthetic aperture radar (SAR) imaging / H. Vickers in Earth and space science, vol 3 n° 11 (November 2016)  

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