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Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > botanique systématique > Tracheophyta > Spermatophytina > Gymnosperme > Pinophyta > Pinaceae > Pinus (genre) > Pinus nigra
Pinus nigraSynonyme(s)pin noir ;pin noir d'Autriche Pinus laricio austriaca |
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Recent growth trends of black pine (Pinus nigra J.F. Arnold) in the eastern mediterranean / Ellen Janssen in Forest ecology and management, vol 412 (15 March 2018)
[article]
Titre : Recent growth trends of black pine (Pinus nigra J.F. Arnold) in the eastern mediterranean Type de document : Article/Communication Auteurs : Ellen Janssen, Auteur ; Vincent Kint, Auteur ; Jean-Daniel Bontemps , Auteur ; Kürşad Özkan, Auteur ; Ahmet Mert, Auteur ; Nesibe Köse, Auteur ; Bilgin Icel, Auteur ; Bart Muys, Auteur Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : pp 21 - 28 Note générale : bibliographie
This work was supported by the Belgian Programme on Interuniversity Poles of Attraction, the Research Fund of the University of Leuven and the Research Foundation Flanders (FWO).Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] bassin méditerranéen
[Termes IGN] changement climatique
[Termes IGN] croissance des arbres
[Termes IGN] dendrochronologie
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Pinus nigra
[Termes IGN] Turquie
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Past and present environmental changes cause significant changes in tree growth in many parts of the world, where both decreasing and increasing growth trends have been detected over the last decades. The Mediterranean basin is especially sensitive to climate change and subsequent tree growth declines. In this article, we present the first study on recent tree growth trends in Turkey. Pinus nigra is a drought-sensitive species and one of the most common and economically important native conifers to Turkey. Tree-ring cores were taken from 61 Pinus nigra plots spread over the entire Lakes District (Southwest Turkey), near the species’ southern range limit. The samples cover the 1839–2013 time period. We apply the Regional Curve Standardization technique and statistical modeling to the tree ring width data to investigate long-term growth trends. Both methods show remarkably similar results: a slowly increasing growth trend until the 1970s, followed by a decreasing trend. This recent negative trend is highly correlated with increased temperature and drought in summer, which suggests that it is likely caused by climate change. Numéro de notice : A2018-520 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.01.047 Date de publication en ligne : 06/02/2018 En ligne : https://doi.org/10.1016/j.foreco.2018.01.047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91404
in Forest ecology and management > vol 412 (15 March 2018) . - pp 21 - 28[article]Monitoring des impacts du changement climatique (ICC) sur la forêt - croissance des résineux dans un contexte de réchauffement [diaporama] / Jean-Daniel Bontemps (2018)
Titre : Monitoring des impacts du changement climatique (ICC) sur la forêt - croissance des résineux dans un contexte de réchauffement [diaporama] Type de document : Article/Communication Auteurs : Jean-Daniel Bontemps , Auteur ; Clémentine Ols , Auteur ; Thomas Gschwantner, Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2018 Conférence : IGN - EcoFor 2018, Colloque 60 ans d’inventaire forestier pour éclairer l’avenir 15/10/2018 16/10/2018 Paris France open access proceedings Importance : 25 p. Format : 21 x 30 cm Langues : Français (fre) Anglais (eng) Descripteur : [Termes IGN] Abies alba
[Termes IGN] croissance des arbres
[Termes IGN] échantillonnage
[Termes IGN] modélisation de la forêt
[Termes IGN] Picea abies
[Termes IGN] Pinus halepensis
[Termes IGN] Pinus nigra
[Termes IGN] Pinus pinaster
[Termes IGN] Pinus sylvestris
[Termes IGN] résineux
[Termes IGN] surveillance forestière
[Vedettes matières IGN] Végétation et changement climatiqueNuméro de notice : C2018-116 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://inventaire-forestier.ign.fr/IMG/pdf/12_effets_changementclimatique_crois [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97545 A spatial dataset of forest mensuration collected in black pine plantations in central Italy / Paolo Cantiani in Annals of Forest Science, vol 74 n° 3 (September 2017)
[article]
Titre : A spatial dataset of forest mensuration collected in black pine plantations in central Italy Type de document : Article/Communication Auteurs : Paolo Cantiani, Auteur ; Maurizio Marchi, Auteur Année de publication : 2017 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre (flore)
[Termes IGN] base de données localisées
[Termes IGN] bois mort
[Termes IGN] données de terrain
[Termes IGN] données dendrométriques
[Termes IGN] éclaircie (sylviculture)
[Termes IGN] géoréférencement
[Termes IGN] houppier
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] peuplement forestier
[Termes IGN] Pinus nigra
[Termes IGN] placette d'échantillonnage
[Termes IGN] sol
[Termes IGN] Toscane (Italie)
[Vedettes matières IGN] Inventaire forestierRésumé : (Auteur) Key message : The dataset provides an exhaustive tree inventory with forest mensuration and spatial location carried out in 54 plots sampled in 45- to 55-year-old black pine plantations, located in two areas of Tuscany (central Italy). Forest mensuration includes horizontal and vertical structure measurements and a total of 4171 trees were geo-referenced. The most abundant species was the black pine, Pinus nigra spp. laricio, for which a total of 3631 trees were observed. The dataset was collected as part of the SelPiBio LIFE project (LIFE13 BIO/IT/000282). Dataset access athttp://doi.org/10.5281/zenodo.438681. Associated metadata available athttps://metadata-afs.nancy.inra.fr/geonetwork/apps/georchestra/?uuid=73591027-0f1e-40a3-95d0-b614517c1290&hl=eng.
Context : The main aim of the SelPiBio LIFE project (www.selpibio.eu) is to demonstrate the effects of two thinning regimes, selective and from below, on soil biodiversity in young black pine stands. The spatial structure of forests and the relationships between trees are a good proxy of overall biodiversity level. Spatial datasets with geo referenced trees and related mensurational data represent the highest level of information for forest inventories and research activities.
Aims : This dataset has been developed during the A2 Action (Assessment of structural and mensurational parameters of the forest stands and the dead wood) of the project, to record the main mensurational parameters of the studied black pine stands. A tree-level database was compiled to describe the vertical and horizontal structure of 54 monitoring plots before the application of the silvicultural treatment.
Methods : In addition to classical in-field measurements (e.g. diameters at breast height, total height of the tree, crown depth etc.), all trees were georeferenced by means of polar coordinates collected from the centre of each monitoring plot, including crown projection on the ground, described with eight points. Then, a polynomial spline function was fitted across the recorded data to obtain a convex polygon and to calculate crown area and crown perimeter of each measured tree in GIS environment.
Results : A polygonal ESRI shapefile in ETRS89/UTM32N reference system (EPSG: 25832) with 4171 records representing the crown projections on the ground of each measured tree with all the mensurational parameters included into the attribute table. The database is freely available under the Creative Commons Attribution-NonCommercial 4. 182 0 License.
Conclusion : With this database, a wide range of forestry-related indices could be easily calculated, including geostatistical analysis and autocorrelation functions, to compare Italian artificial black pine stands with other studied forests.Numéro de notice : A2017-355 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1007/s13595-017-0648-8 Date de publication en ligne : 26/06/2017 En ligne : https://doi.org/10.1007/s13595-017-0648-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85722
in Annals of Forest Science > vol 74 n° 3 (September 2017)[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)
[article]
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]Estimating forest species abundance through linear unmixing of CHRIS/PROBA imagery / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
[article]
Titre : Estimating forest species abundance through linear unmixing of CHRIS/PROBA imagery Type de document : Article/Communication Auteurs : S. Stagakis, Auteur ; Theofilos Vanikiotis, Auteur ; Olga Sykioti, Auteur Année de publication : 2016 Article en page(s) : pp 79 - 89 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse des mélanges spectraux
[Termes IGN] carte de la végétation
[Termes IGN] classification bayesienne
[Termes IGN] effet d'ombre
[Termes IGN] espèce végétale
[Termes IGN] Fagus sylvatica
[Termes IGN] Grèce
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat-8
[Termes IGN] image PROBA-CHRIS
[Termes IGN] orthoimage
[Termes IGN] parc naturel national
[Termes IGN] partition d'image
[Termes IGN] Pinus nigra
[Termes IGN] richesse floristique
[Vedettes matières IGN] Inventaire forestierRésumé : (Auteur) The advancing technology of hyperspectral remote sensing offers the opportunity of accurate land cover characterization of complex natural environments. In this study, a linear spectral unmixing algorithm that incorporates a novel hierarchical Bayesian approach (BI-ICE) was applied on two spatially and temporally adjacent CHRIS/PROBA images over a forest in North Pindos National Park (Epirus, Greece). The scope is to investigate the potential of this algorithm to discriminate two different forest species (i.e. beech – Fagus sylvatica, pine – Pinus nigra) and produce accurate species-specific abundance maps. The unmixing results were evaluated in uniformly distributed plots across the test site using measured fractions of each species derived by very high resolution aerial orthophotos. Landsat-8 images were also used to produce a conventional discrete-type classification map of the test site. This map was used to define the exact borders of the test site and compare the thematic information of the two mapping approaches (discrete vs abundance mapping). The required ground truth information, regarding training and validation of the applied mapping methodologies, was collected during a field campaign across the study site. Abundance estimates reached very good overall accuracy (R2 = 0.98, RMSE = 0.06). The most significant source of error in our results was due to the shadowing effects that were very intense in some areas of the test site due to the low solar elevation during CHRIS acquisitions. It is also demonstrated that the two mapping approaches are in accordance across pure and dense forest areas, but the conventional classification map fails to describe the natural spatial gradients of each species and the actual species mixture across the test site. Overall, the BI-ICE algorithm presented increased potential to unmix challenging objects with high spectral similarity, such as different vegetation species, under real and not optimum acquisition conditions. Its full potential remains to be investigated in further and more complex study sites in view of the upcoming satellite hyperspectral missions. Numéro de notice : A2016-778 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.05.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.05.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82473
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 79 - 89[article]Do competition-density rule and self-thinning rule agree? / Sonja Vospernik in Annals of Forest Science, vol 72 n° 3 (May 2015)PermalinkMulti-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands / Cédric Vega in International journal of applied Earth observation and geoinformation, vol 13 n° 4 (August 2011)PermalinkExtraction de paramètres d'arbre à partir de modèles numériques de canopée Lidar / Cédric Vega in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)PermalinkValoriser et conserver le pin de Salzmann en France / Bruno Fady in Forêt méditerranéenne, vol 31 n° 1 (mars 2010)PermalinkAdvanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest / Adrien Chauve in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)PermalinkProduction de biomasse à usage énergétique par la gestion des pineraies du Frioul (Italie) / Rafaelle Spinelli in Forêt méditerranéenne, vol 29 n° 3 (septembre 2008)PermalinkContribution à la connaissance des Forêts méditerranéo-montagnardes : La forêt de Pinus salzmanni de Saint-Guilhem-le-Désert / Josias Braun-Blanquet in Collectanea botanica, vol 4 n° 3 (1955)Permalink