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Modeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain / Daniel J. Vega-Nieva in Annals of Forest Science, vol 72 n° 7 (October 2015)
[article]
Titre : Modeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain Type de document : Article/Communication Auteurs : Daniel J. Vega-Nieva, Auteur ; Enrique Valero, Auteur ; Juan Pico, Auteur ; Enrique Jiménez, Auteur Année de publication : 2015 Article en page(s) : pp 967 - 980 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] allométrie
[Termes IGN] biomasse aérienne
[Termes IGN] biomasse forestière
[Termes IGN] boisement artificiel
[Termes IGN] Eucalyptus globulus
[Termes IGN] Galice (Espagne)
[Termes IGN] peuplement forestier
[Termes IGN] régression non linéaire
[Termes IGN] sous-sol
[Termes IGN] sursol
[Termes IGN] taillisRésumé : (auteur) Key message : The study developed equations for predicting aboveground and belowground biomass of planted and coppiced Eucalyptus globulus in NW Spain. It was the first published work considering site effects on aboveground biomass and first work for predicting root biomass, for this species in this region, where it covers about 310,000 ha.
Context : Eucalyptus globulus is a species of great economic relevance, being increasingly used for bioenergy. In Galicia (NW Spain), where most of the E. globulus in the country is growing, there are scarce studies modeling aboveground biomass fractions of that species, together with a lack of information on its belowground biomass.
Aims : The objective of this study was to develop new and more accurate allometries for predicting E. globulus tree aboveground biomass fractions and coarse belowground biomass in NW Spain.
Methods : Aboveground biomass models were calibrated by two approaches: nonlinear seemingly unrelated regressions (NSUR), using tree and stand variables, and nonlinear mixed effects (nlme) equations adding the site factor effect. Validation was made with an independent dataset (85 trees). Belowground biomass equations were constructed for planted and coppiced trees.
Results : Crown length and dominant height substantially improved the precision in leaf and branch biomass estimation (NSUR). An added value of our study was the modeling of root/shoot ratio, as a function of diameter of planted and coppiced trees, for first time in this species.
Conclusion : This study confirms the importance of site and stand stage to explain aboveground biomass variability. Although different belowground biomass accumulation patterns were observed for planted and coppice trees, aboveground biomass equations were common.Numéro de notice : A2015-721 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0493-6 Date de publication en ligne : 01/10/2015 En ligne : https://doi.org/10.1007/s13595-015-0493-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78373
in Annals of Forest Science > vol 72 n° 7 (October 2015) . - pp 967 - 980[article]Monitoring ectomycorrhizal fungi at large scales for science, forest management, fungal conservation and environmental policy / Laura M. Suz in Annals of Forest Science, vol 72 n° 7 (October 2015)
[article]
Titre : Monitoring ectomycorrhizal fungi at large scales for science, forest management, fungal conservation and environmental policy Type de document : Article/Communication Auteurs : Laura M. Suz, Auteur ; Nadia Barsoum, Auteur ; Sue Benham, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 877 - 885 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité
[Termes IGN] champignon mycorhizien
[Termes IGN] écosystème
[Termes IGN] Fungi
[Termes IGN] surveillance de la végétation
[Termes IGN] sylviculture
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Key message : The ICP Forests network can be a platform for large-scale mycorrhizal studies. Mapping and monitoring of mycorrhizas have untapped potential to inform science, management, conservation and policy regarding distributions, diversity hotspots, dominance and rarity, and indicators of forest changes.
Context : A dearth of information about fungi at large scales has severely constrained scientific, forest management, fungal conservation and environmental policy efforts worldwide. Nonetheless, fungi fulfil critical functional roles in our changing environments and represent a considerable proportion of terrestrial biodiversity. Mycorrhizal fungi are increasingly viewed as a major functional guild across forest ecosystems, and our ability to study them is expanding rapidly.
Aims : This study aimed to discuss the potential for starting a mycorrhizal monitoring programme built upon the existing forest monitoring network, raise questions, propose hypotheses and stimulate further discussion.
Results : An overview of the state-of-the-art regarding forest ectomycorrhizal ecology raises questions and recommendations for scaling up mycorrhizal assessments aimed at informing a variety of stakeholders, with a new focus on conservation and policy.
Conclusion : Fungal research and conservation are areas that can be informed by ICP Forests and may lead to useful spin-offs; research linked to long-term forest monitoring plots will enhance the relevance of science and conservation.Numéro de notice : A2015-717 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-014-0447-4 Date de publication en ligne : 01/10/2015 En ligne : https://doi.org/10.1007/s13595-014-0447-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78361
in Annals of Forest Science > vol 72 n° 7 (October 2015) . - pp 877 - 885[article]Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data / Lauri Korhonen in Silva fennica, vol 49 n° 5 ([01/10/2015])
[article]
Titre : Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data Type de document : Article/Communication Auteurs : Lauri Korhonen, Auteur ; Daniela Ali-Sisto, Auteur ; Timo Tokola, Auteur Année de publication : 2015 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] canopée
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] image ALOS-AVNIR2
[Termes IGN] image optique
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Laos
[Termes IGN] placette d'échantillonnage
[Termes IGN] régression logistique
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The fusion of optical satellite imagery, strips of lidar data and field plots is a promising approach for the inventory of tropical forests. Airborne lidars also enable an accurate direct estimation of the forest canopy cover (CC), and thus a sample of lidar strips can be used as reference data for creating CC maps which are based on satellite images. In this study, our objective was to validate CC maps obtained from an ALOS AVNIR-2 satellite image wall-to-wall, against a lidar-based CC map of a tropical forest area located in Laos. The reference CC values which were needed for model training were obtained from a sample of four lidar strips. Zero-and-one inflated beta regression (ZOINBR) models were applied to link the spectral vegetation indices derived from the ALOS image with the lidar-based CC estimates. In addition, we compared ZOINBR and logistic regression models in the forest area estimation by using >20% CC as a forest definition. Using a total of 409 217 30 × 30 m population units as validation, our model showed a strong correlation between lidar-based CC and spectral satellite features (root mean square error = 12.8%, R2 = 0.82). In the forest area estimation, a direct classification using logistic regression provided better accuracy than the estimation of CC values as an intermediate step (kappa = 0.61 vs. 0.53). It is important to obtain sufficient training data from both ends of the CC range. The forest area estimation should be done before the CC estimation, rather than vice versa. Numéro de notice : A2015-673 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.14214/sf.1405 En ligne : http://www.silvafennica.fi/article/1405 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78293
in Silva fennica > vol 49 n° 5 [01/10/2015][article]Estimation of forest biomass from two-level model inversion of single-pass InSAR data / M.J. Soja in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)
[article]
Titre : Estimation of forest biomass from two-level model inversion of single-pass InSAR data Type de document : Article/Communication Auteurs : M.J. Soja, Auteur ; Henrik J. Persson, Auteur ; Lars M.H. Ulander, Auteur Année de publication : 2015 Article en page(s) : pp 5083 - 5099 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] biomasse forestière
[Termes IGN] forêt boréale
[Termes IGN] image TanDEM-X
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle numérique de terrain
[Termes IGN] placette d'échantillonnage
[Termes IGN] polarimétrie radar
[Termes IGN] SuèdeRésumé : (Auteur) A model for aboveground biomass estimation from single-pass interferometric synthetic aperture radar (InSAR) data is presented. Forest height and canopy density estimates Δh and η0, respectively, obtained from two-level model (TLM) inversion, are used as biomass predictors. Eighteen bistatic VV-polarized TanDEM-X (TDM) acquisitions are used, made over two Swedish test sites in the summers of 2011, 2012, and 2013 (nominal incidence angle: 41°; height-of-ambiguity: 32-63 m). Remningstorp features a hemiboreal forest in southern Sweden, with flat topography and where 32 circular plots have been sampled between 2010 and 2011 (area: 0.5 ha; biomass: 42-242 t/ha; height: 14-32 m) . Krycklan features a boreal forest in northern Sweden, 720-km north-northeast from Remningstorp, with significant topography and where 31 stands have been sampled in 2008 (area: 2.4-26.3 ha; biomass: 23-183 t/ha; height: 7-21 m). A high-resolution digital terrain model has been used as ground reference during InSAR processing. For the aforementioned plots and stands and if the same acquisition is used for model training and validation, the new model explains 65%-89% of the observed variance, with root-mean-square error (RMSE) of 12%-19% (median: 15%) . By fixing two of the three model parameters, accurate biomass estimation can also be done when different acquisitions or different test sites are used for model training and validation, with RMSE of 12%-56% (median: 17%). Compared with a simple scaling model computing biomass from the phase center elevation above ground, the proposed model shows significantly better performance in Remningstorp, as it accounts for the large canopy density variations caused by active management. In Krycklan, the two models show similar performance. Numéro de notice : A2015-525 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2417205 Date de publication en ligne : 24/04/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2417205 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77536
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 9 (September 2015) . - pp 5083 - 5099[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015091 SL Revue Centre de documentation Revues en salle Disponible How much do we know about the endangered Atlantic Forest? Reviewing nearly 70 years of information on tree community surveys / Renato A.F. de Lima in Biodiversity & Conservation, vol 24 n° 9 (September 2015)
[article]
Titre : How much do we know about the endangered Atlantic Forest? Reviewing nearly 70 years of information on tree community surveys Type de document : Article/Communication Auteurs : Renato A.F. de Lima, Auteur ; Danilo P. Mori, Auteur ; Gregory Pitta, Auteur ; Melina O. Melito, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 2135 - 2148 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Brésil
[Termes IGN] échantillonnage
[Termes IGN] forêt tropicale
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Paraguay
[Termes IGN] phytosociologie
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The structure of the Atlantic Forest (AF) has been studied for almost 70 years. However, the related existing knowledge is spread over hundreds of documents, many of them unpublished and/or difficult to access. Synthesis initiatives are available, but they are restricted to only a few parts or types of the AF or are focused on species occurrence. Here, we conducted an extensive review to compile quantitative tree community surveys on all types of the AF until 2013 and to study where and how these surveys were conducted. We found 1157 relevant references, containing 2441 forest surveys published since 1945. These surveys corresponded to 2.24 million trees and 1817 ha of forests sampled. This total sampled area represents only 0.01 % of the AF remnants, showing how limited our knowledge is on AF structure. For Paraguay and the Brazilian states of Bahia and Mato Grosso do Sul this proportion was much smaller. The same was true for evergreen rainforests, Brejos de altitude and deciduous forests and most probably for the rare cloud, swamp, Caxetal and Mussununga forests for which no accurate remnant estimates were found. Since the 1980s, the amount of AF area sampled each year has increased continuously, but approximately 100 years will be necessary to sample at least 1 % of the AF. Thus, we urgently need an enormous amount of high-quality quantitative data to overcome our limited knowledge of the AF and to support conservation programs aiming to safeguard this threatened biodiversity hotspot. Numéro de notice : A2015--032 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1007/s10531-015-0953-1 Date de publication en ligne : 19/06/2015 En ligne : https://doi.org/10.1007/s10531-015-0953-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81110
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Singh in ISPRS Journal of photogrammetry and remote sensing, vol 101 (March 2015)PermalinkLes forêts tempérées face aux conséquences du changement climatique : est-il primordial de favoriser une plus forte diversité d’arbres dans les peuplements forestiers ? / Charlotte Grossiord in Revue forestière française, Vol 67 n° 2 (mars 2015)PermalinkLes journées de la recherche 2015 à l'IGN / Anonyme in Géomatique expert, n° 103 (mars - avril 2015)PermalinkSylvaccess : un modèle pour cartographier automatiquement l’accessibilité des forêts / Sylvain Dupire in Revue forestière française, Vol 67 n° 2 (mars 2015)PermalinkTemporal stability of X-band single-pass InSAR heights in a spruce forest: effects of acquisition properties and season / Svein Solberg in IEEE Transactions on geoscience and remote sensing, vol 53 n° 3 (March 2015)PermalinkValidation of terrestrial laser scanning data using conventional forest inventory methods / Taye Mengesha in European Journal of Forest Research, vol 134 n° 2 (March 2015)PermalinkVariation in irradiance, soil features and regeneration patterns in experimental forest canopy gaps / Urša Vilhar in Annals of Forest Science, vol 72 n° 2 (March - april 2015)PermalinkCapabilities of BIOMASS tomography for investigating tropical forests / Ho Tong Minh Dinh in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)PermalinkHabitat directive forest type western taiga (*9010) in Estonia : the first description of stand structure according to mapping and monitoring data / Anneli Palo in Baltic forestry, vol 21 n° 1 ([01/02/2015])PermalinkMultibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing / Lei Liang in Journal of applied remote sensing, vol 9 (2015)PermalinkVegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)PermalinkVulnérabilités liées à l’eau dans les Andes vénézuéliennes : influences des relations sociétés/hydrosystèmes dans le cas de Santa-Cruz-de-Mora / Frédérique Blot in L'ordinaire des Amériques, n° 218 (2015)PermalinkAssessing forest inventory information obtained from different inventory approaches and remote sensing data sources / Even Bergseng in Annals of Forest Science, vol 72 n° 1 (January 2015)PermalinkBayesian belief networks as a versatile method for assessing uncertainty in land-change modeling / Carsten Krüger in International journal of geographical information science IJGIS, vol 29 n° 1 (January 2015)PermalinkEstimating forest biomass from TerraSAR-X stripmap radargrammetry / Svein Solberg in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)PermalinkÉvaluation des conséquences d’aménagements d’infrastructures sur les déplacements d’animaux : Définition et expérimentation d’un modèle de simulation agent / Laurence Jolivet in Cybergeo, European journal of geography, n° 2015 ([01/01/2015])PermalinkExterior orientation of hyperspectral frame images collected with UAV for forest applications / Adilson Berveglieri (2015)PermalinkForest Products Annual Market Review 2014-2015 / United Nations Economic Commission for Europe (2015)PermalinkForest structure indicators based on tree size inequality and their relationships to airborne laser scanning / Rubén Valbuena (2015)PermalinkForestier / Office national des forêts (France) (2015)PermalinkUne gestion mieux adaptée sur la piste d’un inventaire forestier multi-sources / Jean-Marc Frémont in Forêts de France, n° 580 (janvier/février 2015)PermalinkL’IFN enrichit ses méthodes d’inventaire / Anonyme in La Forêt Privée, n° 341 (janvier/février 2015)PermalinkMapping the value of ecosystem services: A case study from the Austrian Alps / Alessandro Paletto in Annals of forest research, vol 58 n° 1 (January 2015)PermalinkPASSIFOR, Propositions d'Amélioration du Système de Suivi de la biodiversité Forestière [rapport final] / Guy Landmann (2015)PermalinkPrédire la structure des forêts tropicales humides calédoniennes : analyse texturale de la canopée sur des images Pléiades / Elodie Blanchard in Revue Française de Photogrammétrie et de Télédétection, n° 209 (Janvier 2015)PermalinkSols et environnement, chiffres clés, édition 2015 / CGDD Commissariat Général au Développement Durable (2015)PermalinkPermalinkA Swedish case study on the prediction of detailed product recovery from individual stem profiles based on airborne laser scanning / Andreas Barth in Annals of Forest Science, vol 72 n° 1 (January 2015)PermalinkThe Forests in Germany / Federal ministry of food and agriculture = Bundesministerium für Ernährung und Landwirtschaft (Berlin, Allemagne) (2015)PermalinkThe land use and cover change in Miombo woodlands under community based forest management and its implication to climate change mitigation: A case of Southern Highlands of Tanzania / J.Z. Lupala in International journal of forestry research, vol 2015 ([01/01/2015])PermalinkPermalinkTowards an enhanced understanding of airborne LiDAR measurements of forest vegetation / Aarne Hovi (2015)PermalinkTropical forest structure characterization using airborne lidar data: an individual tree level approach / António Ferraz (dec 2015)PermalinkUse of remotely sensed auxiliary data for improving sample-based forest inventories / Svetlana Saarela (2015)PermalinkVisualisation of spread of Chalara ash dieback for raising public awareness and responsible woodland access / Chen Wang (2015)PermalinkDeadwood and tree microhabitat dynamics in unharvested temperate mountain mixed forests: A life-cycle approach to biodiversity monitoring / Laurent Larrieu in Forest ecology and management, vol 334 ([15/12/2014])PermalinkEffect of host tree density and apparency on the probability of attack by the pine processionary moth / Margot Regolini in Forest ecology and management, vol 334 ([15/12/2014])PermalinkEuropean perspective on the development of planted forests, including projections to 2065 / Gert-Jan Nabuurs in New Zealand Journal of Forestry Science, vol 44 (Decembre 2014)PermalinkImpact of management on nutrients, carbon, and energy in aboveground biomass components of mid-rotation loblolly pine (pinus taeda L.) plantations / Dehai Zhao in Annals of Forest Science, vol 71 n° 8 (December 2014)PermalinkPost-fire selective thinning of Arbutus unedo L. coppices keeps animal diversity unchanged: the case of ants / Lidia Quevedo in Annals of Forest Science, vol 71 n° 8 (December 2014)PermalinkRemote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data / Jukka Miettinen in Global ecology and conservation, vol 2 (December 2014)PermalinkAccuracy in estimation of timber assortments and stem distribution: A comparison of airborne and terrestrial laser scanning techniques / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkAn assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data / Luke Wallace in IEEE Transactions on geoscience and remote sensing, vol 52 n° 11 tome 1 (November 2014)PermalinkUne approche cartographique pour relancer la sylviculture du châtaignier dans les Cévennes / Jean-Michel Boissier in Revue forestière française, vol 66 n° 6 (novembre - décembre 2014)PermalinkConsidering evolutionary processes in adaptive forestry / François Lefèvre in Annals of Forest Science, vol 71 n° 7 (October 2014)PermalinkDeriving airborne laser scanning based computational canopy volume for forest biomass and allometry studies / Jari Vauhkonen in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkEconomics of harvesting uneven-aged forest stands in Fennoscandia / Janne Rämo in Scandinavian journal of forest research, vol 29 n° 8 (October 2014)PermalinkIs generalisation of uneven-aged management in mountain forests the key to improve biodiversity conservation within forest landscape mosaics? / M. Redon in Annals of Forest Science, vol 71 n° 7 (October 2014)PermalinkMeasurements of forest biomass change using P-Band synthetic aperture radar backscatter / Gustaf Sandberg in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 1 (October 2014)PermalinkQuantification et cartographie de la structure forestière à partir de la texture des images Pléiades / Benoit Beguet in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)PermalinkSocial status-mediated tree-ring responses to climate of Abies alba and Fagus sylvatica shift in importance with increasing stand basal area / François Lebourgeois in Forest ecology and management, Vol 328 (September 2014)PermalinkComparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves / Rubén Valbuena in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)PermalinkCross-correlation of diameter measures for the co-registration of forest inventory plots with airborne laser scanning data / Jean-Matthieu Monnet in Forests, vol 5 n° 9 (September 2014)PermalinkLand cover and soil type mapping from spaceborne PolSAR Data at L-Band with probabilistic neural network / Oleg Antropov in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)PermalinkTropical forest change monitoring / David Belton in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)PermalinkVolet forestier de la loi d'avenir pour l'agriculture, l'alimentation et la forêt (loi n° 2014-1170 du 13 octobre 2014) / Jean-Luc Guitton in Revue forestière française, vol 66 n° 5 (septembre - octobre 2014)PermalinkEstimation of the timber quality of scots pine with terrestrial laser scanning / Ville Kankare in Forests, vol 5 n° 8 (August 2014)PermalinkHyperspectral data dimensionality reduction and the impact of multi-seasonal Hyperion EO-1 imagery on classification accuracies of tropical forest species / Manjit Saini in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)PermalinkAlley coppice—a new system with ancient roots / Christopher D. Morhart in Annals of Forest Science, vol 71 n° 5 (July - August 2014)PermalinkCalibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning / Qing Xu in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)Permalink