Descripteur
Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique
botaniqueSynonyme(s)biologie végétale phytologie |
Documents disponibles dans cette catégorie (1282)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Ecological constraints increase the climatic debt in forests / Romain Bertrand in Nature communications, vol 7 (2016)
[article]
Titre : Ecological constraints increase the climatic debt in forests Type de document : Article/Communication Auteurs : Romain Bertrand, Auteur ; Gabriela Riofrío-Dillon, Auteur ; Jonathan Lenoir, Auteur ; Jacques Drapier , Auteur ; Patrice de Ruffray, Auteur ; Jean-Claude Gégout, Auteur ; Michel Loreau, Auteur Année de publication : 2016 Projets : TULIP / Roux, Fabrice Article en page(s) : n° 12643 (2016) Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] écologie forestière
[Termes IGN] France (administrative)
[Termes IGN] migration de plantes
[Termes IGN] phytosociologie
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Biodiversity changes are lagging behind current climate warming. The underlying determinants of this climatic debt are unknown and yet critical to understand the impacts of climate change on the present biota and improve forecasts of biodiversity changes. Here we assess determinants of climatic debt accumulated in French forest herbaceous plant communities between 1987 and 2008 (that is, a 1.05 °C mean difference between the observed and bioindicated temperatures). We show that warmer baseline conditions predispose plant communities to larger climatic debts, and that climate warming exacerbates this response. Forest plant communities, however, are absorbing part of the temperature increase mainly through the species’ ability to tolerate changing climate. As climate warming is expected to accelerate during the twenty-first century, plant migration and tolerance to climatic stresses probably will be insufficient to absorb this impact posing threats to the sustainability of forest plant communities. Numéro de notice : A2016-716 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1038/ncomms12643 Date de publication en ligne : 26/08/2016 En ligne : http://dx.doi.org/10.1038/ncomms12643 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82120
in Nature communications > vol 7 (2016) . - n° 12643 (2016)[article]A local structure and direction-aware optimization approach for three-dimensional tree modeling / Zhen Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)
[article]
Titre : A local structure and direction-aware optimization approach for three-dimensional tree modeling Type de document : Article/Communication Auteurs : Zhen Wang, Auteur ; Liqiang Zhang, Auteur ; Tian Fang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 4749 - 4757 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] optimisation (mathématiques)
[Termes IGN] reconstruction 3D
[Termes IGN] semis de points
[Termes IGN] squelettisationRésumé : (Auteur) Modeling 3-D trees from terrestrial laser scanning (TLS) point clouds remains a challenging task for several well-known reasons, including their complex structure and severe occlusions. In order to accurately reconstruct 3-D tree models from TLS point clouds that typically suffer from significant occlusions, in this paper, a novel local structure and direction-aware approach is presented to successfully complete missing structures of trees. In this method, we first extract the coarse tree skeleton from the input point cloud, and thus, the branch dominant direction and the point density of each branch are obtained. By a skeleton-based Laplacian algorithm, the point cloud is further shrunk into a skeleton point cloud to highlight the branch dominant direction of each branch. For obtaining even more accurate point densities, a dictionary-based algorithm is utilized to learn and reconstruct the local structure. Finally, the branch dominant direction and point density are integrated into an iterative optimization process to recover the missing data. Extensive experimental results have shown that the proposed method is very robust to incomplete data sets, and it is capable of accurately reconstructing 3-D trees, which are partially, or even to a large extent, missing from the input point cloud. Numéro de notice : A2016-890 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2551286 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2551286 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83070
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 8 (August 2016) . - pp 4749 - 4757[article]Radiometric correction of airborne radar images over forested terrain with topography / Marc Simard in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)
[article]
Titre : Radiometric correction of airborne radar images over forested terrain with topography Type de document : Article/Communication Auteurs : Marc Simard, Auteur ; Bryan V. Riel, Auteur ; Michael Denbina, Auteur ; Scott Hensley, Auteur Année de publication : 2016 Article en page(s) : pp 4488 - 4500 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] canopée
[Termes IGN] correction radiométrique
[Termes IGN] évaluation des données
[Termes IGN] forêt
[Termes IGN] homomorphisme
[Termes IGN] image aérienne
[Termes IGN] image radar
[Termes IGN] réflectivité
[Termes IGN] reliefRésumé : (Auteur) Radiometric correction of radar images is essential to produce accurate estimates of biophysical parameters related to forest structure and biomass. We present a new algorithm to correct radiometry for 1) terrain topography and 2) variations of canopy reflectivity with viewing and tree-terrain geometry. This algorithm is applicable to radar images spanning a wide range of incidence angles over terrain with significant topography and can also take into account aircraft attitude, antenna steering angle, and target geometry. The approach includes elements of both homomorphic and heteromorphic terrain corrections to correct for topographic effects and is followed by an additional radiometric correction to compensate for variations of canopy reflectivity with viewing and tree-terrain geometry. The latter correction is based on lookup tables and enables derivation of biophysical parameters irrespective of viewing geometry and terrain topography. We evaluate the performance of the new algorithm with airborne radar data and show that it performs better than classical homomorphic methods followed by cosine-based corrections. Numéro de notice : A2016-885 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2543142 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2543142 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83049
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 8 (August 2016) . - pp 4488 - 4500[article]Silvicultural climatic turning point for European beech and sessile oak in Western Europe derived from national forest inventories / Klara Dolos in Forest ecology and management, vol 373 (1 August 2016)
[article]
Titre : Silvicultural climatic turning point for European beech and sessile oak in Western Europe derived from national forest inventories Type de document : Article/Communication Auteurs : Klara Dolos, Auteur ; Tobias Mette, Auteur ; Camilla Wellstein, Auteur Année de publication : 2016 Article en page(s) : pp 128 - 137 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Allemagne
[Termes IGN] analyse diachronique
[Termes IGN] changement climatique
[Termes IGN] Fagus sylvatica
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] modèle statistique
[Termes IGN] peuplement mélangé
[Termes IGN] Quercus sessiliflora
[Termes IGN] sol forestier
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Forests of temperate Europe are climate sensitive ecosystems, and the current balance between the tree species will shift as climate becomes warmer and potentially drier. Especially changes in the dominant species have a strong impact on forest ecosystems because they fundamentally change life conditions of plants and animals living in the forest. Mette et al. (2013) introduced the climatic turning point (CTP) as a concept that marks the climatic conditions where such a change in species dominance is expected to occur. While they modelled the CTP for European beech (Fagus sylvatica) and sessile oak (Quercus petraea) from environmentally sensitive forest growth models, this study determined the CTP between beech and oak from national forest inventories in Western Europe. We ask (1) under which climate conditions the inventory-based CTP occurs, (2) whether it is modified by soil type and (3) how it differs from other CTP references like the Ellenberg quotient (Ellenberg, 1963). The CTP from beech to oak occurred approximately at mean annual temperatures above 8–9 °C if annual precipitation was below 600 mm and rose to 11–12 °C for annual precipitation exceeding 900 mm. This relation was strongly modified by soil type. Compared to Ellenberg (1963) and Mette et al. (2013), oak replaced beech at far more moderate climatic conditions (EQ 20–30). This can be attributed to the silvicultural history of forest stands: the inventory-based CTP signal carries the century old anthropogenic preference for oak. We expand the CTP concept that was until now based on natural competition by a “silvicultural” CTP that is contained in large-scale inventory data. It thereby implicitly incorporates the question how silviculture and social-cultural values impact the balance between species. Climate change projections indeed suggested that large parts of Western Europe will cross the silvicultural CTP. Numéro de notice : A2016--203 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2016.04.018 Date de publication en ligne : 27/04/2016 En ligne : https://doi.org/10.1016/j.foreco.2016.04.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96040
in Forest ecology and management > vol 373 (1 August 2016) . - pp 128 - 137[article]Soil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data / Lian He in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)
[article]
Titre : Soil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data Type de document : Article/Communication Auteurs : Lian He, Auteur ; Rocco Panciera, Auteur Année de publication : 2016 Article en page(s) : pp 4445 - 4460 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse
[Termes IGN] cultures
[Termes IGN] décomposition d'image
[Termes IGN] données polarimétriques
[Termes IGN] filtre adaptatif
[Termes IGN] humidité du sol
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radarRésumé : (Auteur) The aim of this paper was to estimate soil moisture in agricultural crop fields from fully polarimetric L-band synthetic aperture radar (SAR) data through the polarimetric decomposition of the SAR coherency matrix. A nonnegative-eigenvalue-decomposition scheme, together with an adaptive volume scattering model, is extended to an adaptive model-based decomposition (MBD) (Adaptive MBD) model for soil moisture retrieval. The Adaptive MBD can ensure nonnegative decomposed scattering components and allows two parameters (i.e., the mean orientation angle and a degree of randomness) to be determined to characterize the volume scattering. Its performance was tested using airborne SAR data and coincident ground measurements collected over agricultural fields in southeastern Australia and compared with previous MBD methods (i.e., the Freeman three-component decomposition using the extended Bragg model, the Yamaguchi three-component decomposition, and an iterative generalized hybrid decomposition). The results obtained with the newly proposed decomposition scheme agreed well with expectations based on observed plant structure and biomass levels. The new method was superior in tracking soil moisture dynamics with respect to previous decomposition methods in our study area, with root-mean-square error of soil moisture estimations being 0.10 and 0.14 m3/m3, respectively, for surface and double-bounce components. However, large variability in the achieved soil moisture accuracy was observed, depending on the presence of row structures in the underlying soil surface. Numéro de notice : A2016-884 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2542214 En ligne : https://doi.org/10.1109/TGRS.2016.2542214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83048
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 8 (August 2016) . - pp 4445 - 4460[article]Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning / Jari Vauhkonen in Forestry, an international journal of forest research, vol 89 n° 4 (August 2016)PermalinkLong-term vegetation dynamics and land-use history: Providing a baseline for conservation strategies in protected Alnus glutinosa swamp woodlands / Brith Natlandsmyr in Forest ecology and management, vol 372 (15 July 2016)PermalinkAssessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India / Anju Bala in Geocarto international, vol 31 n° 7 - 8 (July - August 2016)PermalinkDetermining forest degradation, ecosystem state and resilience using a standard stand stocking measurement diagram: theory into practice / Carlos Bahamondez in Forestry, an international journal of forest research, vol 89 n° 3 (July 2016)PermalinkGeneralized terrain topography in radar scattering models / Mariko S. Burgin in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)PermalinkA hierarchical approach to three-dimensional segmentation of LiDAR data at single-tree level in a multilayered forest / Claudia Paris in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)PermalinkImproved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas / Xiaoqian Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 117 (July 2016)PermalinkLidar imagery and InSAR for digital forestry / Benoît Saint-Onge in GIM international [en ligne], vol 30 n° 7 (July 2016)PermalinkNationwide airborne laser scanning based models for volume, biomass and dominant height in Finland / Eetu Kotivuori in Silva fennica, vol 50 n° 4 (2016)PermalinkA novel computer-aided tree species identification method based on burst wind segmentation of 3D bark textures / Alice Ahlem Othmani in Machine Vision and Applications, vol 27 n° 5 (July 2016)Permalink