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Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > botanique systématique
botanique systématique
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Botanique -- Classification, Botanique -- Taxinomie, Botanique -- Taxonomie, Classification botanique, Plantes -- Taxinomie, Plantes -- Taxonomie, Systématique (botanique), Taxinomie (botanique), Taxinomie végétale, Taxonomie (botanique), Taxonomie végétale. Equiv. LCSH : Plants -- Classification. Domaine(s) : 570; 580. Synonyme(s)taxinomie végétale classification botanique |
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When tree rings behave like foam : moderate historical decrease in the mean ring density of common beech paralleling a strong historical growth increase / Jean-Daniel Bontemps in Annals of Forest Science, Vol 70 n° 4 (June 2013)
[article]
Titre : When tree rings behave like foam : moderate historical decrease in the mean ring density of common beech paralleling a strong historical growth increase Type de document : Article/Communication Auteurs : Jean-Daniel Bontemps , Auteur ; Pierre Gelhaye, Auteur ; Gérard Nepveu, Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur Année de publication : 2013 Article en page(s) : pp 329 - 343 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] croissance des arbres
[Termes IGN] dendrologie
[Termes IGN] dendrométrie
[Termes IGN] densité du bois
[Termes IGN] estimation statistique
[Termes IGN] Fagus sylvatica
[Termes IGN] puits de carbone
[Vedettes matières IGN] BotaniqueRésumé : (auteur) Context : While historical increases in forest growth have been largely documented, investigations on historical wood density changes remain anecdotic. They suggest possible density decreases in softwoods and ring-porous hardwoods, but are lacking for diffuse-porous hardwoods.
Aims : To evaluate the historical change in mean ring density of common beech, in a regional context where a ring-porous hardwood and a softwood have been studied, and assess the additional effect of past historical increases in radial growth (+50 % over 100 years), resulting from the existence of a positive ring size–density relationship in broadleaved species.
Methods : Seventy-four trees in 28 stands were sampled in Northeastern France to accurately separate developmental stage and historical signals in ring attributes. First, the historical change in mean ring density at 1.30 m (X-ray microdensitometry) was estimated statistically, at constant developmental stage and ring width. The effect of past growth increases was then added to assess the net historical change in wood density.
Results : A progressive centennial decrease in mean ring density of −55 kg m−3 (−7.5 %) was identified (−10 % following the most recent decline). The centennial growth increase induced a maximum +25 kg m−3 increase in mean ring density, whose net variation thus remained negative (−30 kg m−3).
Conclusions : This finding of a moderate but significant decrease in wood density that exceeds the effect of the positive growth change extends earlier reports obtained on other wood patterns in a same regional context and elsewhere. Despite their origin not being understood, such decreases hence form an issue for forest carbon accounting.Numéro de notice : A2013-828 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article DOI : 10.1007/s13595-013-0263-2 Date de publication en ligne : 21/02/2013 En ligne : https://doi.org/10.1007/s13595-013-0263-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83727
in Annals of Forest Science > Vol 70 n° 4 (June 2013) . - pp 329 - 343[article]Soil water balance performs better than climatic water variables in tree species distribution modelling / Christian Piedallu in Global ecology and biogeography, vol 22 n° 4 (April 2013)
[article]
Titre : Soil water balance performs better than climatic water variables in tree species distribution modelling Type de document : Article/Communication Auteurs : Christian Piedallu, Auteur ; Jean-Claude Gégout, Auteur ; Vincent Perez, Auteur ; François Lebourgeois, Auteur Année de publication : 2013 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] bilan hydrique
[Termes IGN] biogéographie
[Termes IGN] carte pédologique
[Termes IGN] changement climatique
[Termes IGN] espèce végétale
[Termes IGN] phytogéographie
[Termes IGN] Quercus pedunculata
[Termes IGN] Quercus pubescens
[Termes IGN] répartition géographique
[Termes IGN] système d'information géographiqueRésumé : (auteur) Aim: Soil water is essential for the physiological processes of plant growth and fitness. Owing to the difficulty of assessing wide variations in soil water reserves, plant distribution models usually estimate available water for plants through such climatic proxies as precipitation data (P) or climatic water balance (P minus potential evapotranspiration). We evaluated the ability of simple climatic proxies and soil water balance indices to predict the ecological niches of forest tree species.
Location: France
Methods: Soil water content and deficits were computed and mapped at a resolution of 1 × 1 km throughout France. The predictive abilities of these indices were compared to those of P and climatic water balance to model the distributions of 37 of the most common European tree species. We focused on two species with contrasting water tolerance, Quercus robur and Quercus pubescens, to illustrate the differences between climatic proxies and soil water balance in species response curves and distribution maps.
Results: Throughout France, soil water content was poorly correlated with P and climatic water balance, because low P in the lowlands can be compensated for by water provided by deeper soils, which is not the case in most mountainous areas. Soil water balance performed better than simple climatic water variables for explaining tree species distribution, improving 82% of the models for hygrophilous, meso-hygrophilous, meso-xerophilous, and meso-xerophilous species. Main conclusions: Our results showed that simple climatic values do not accurately represent available water for trees and that soil water balance indices perform better than do climatic proxies for most species. This point is crucial in avoiding underestimating the importance of water in studies aiming to determine the ecological niches of plant species and their responses to climate change.Numéro de notice : A2013-784 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1111/geb.12012 En ligne : https://doi.org/10.1111/geb.12012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75719
in Global ecology and biogeography > vol 22 n° 4 (April 2013)[article]Documents numériques
en open access
A2013-784 soil water balanceAdobe Acrobat PDF STARS : A new method for multitemporal remote sensing / Marcio Pupin Mello in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)
[article]
Titre : STARS : A new method for multitemporal remote sensing Type de document : Article/Communication Auteurs : Marcio Pupin Mello, Auteur ; CARLOS A.O. Vieira, Auteur Année de publication : 2013 Article en page(s) : pp 1897 - 1913 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] Brésil
[Termes IGN] collocation
[Termes IGN] données multitemporelles
[Termes IGN] image multibande
[Termes IGN] procédure opérationnelle
[Termes IGN] réflectance de surface
[Termes IGN] Saccharum officinarumRésumé : (Auteur) There is great potential for the development of remote sensing methods that integrate and exploit both multispectral and multitemporal information. This paper presents a new image processing method: Spectral–Temporal Analysis by Response Surface (STARS), which synthesizes the full information content of a multitemporal–multispectral remote sensing image data set to represent the spectral variation over time of features on the Earth's surface. Depending on the application, STARS can be effectively implemented using a range of different models [e.g., polynomial trend surface (PTS) and collocation surface (CS)], exploiting data from different sensors, with varying spectral wavebands and acquiring data at irregular time intervals. A case study was used to test STARS, evaluating its potential to characterize sugarcane harvest practices in Brazil, specifically with and without preharvest straw burning. Although the CS model presented sharper and more defined spectral–temporal surfaces, abrupt changes related to the sugarcane harvest event were also well characterized with the PTS model when a suitable degree was set. Orthonormal coefficients were tested for both the PTS and CS models and performed more accurately than regular coefficients when used as input for three evaluated classifiers: instance based, decision tree, and neural network. Results show that STARS holds considerable potential for representing the spectral changes over time of features on the Earth's surface, thus becoming an effective image processing method, which is useful not only for classification purposes but also for other applications such as understanding land-cover change. The STARS algorithm can be found at www.dsr.inpe.br/~mello. Numéro de notice : A2013-211 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2215332 En ligne : https://doi.org/ 10.1109/TGRS.2012.2215332 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32349
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 1 (April 2013) . - pp 1897 - 1913[article]Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)
[article]
Titre : Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Sylvie Durrieu, Auteur ; Cédric Vega , Auteur ; Pierre Couteron, Auteur Année de publication : 2013 Article en page(s) : pp 924 - 934 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] carte de la végétation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] forme d'onde pleine
[Termes IGN] modèle mathématique
[Termes IGN] Pinus (genre)
[Termes IGN] signal lidar
[Termes IGN] volume en boisRésumé : (auteur) The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine whether full-waveform (FW) LiDAR data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return LiDAR data. Sets of metrics are derived from canopy height model (CHM-only metrics), from the vertical distribution of discrete-returns (CHM+DR metrics), and from full-waveform LiDAR data (CHM+FW metrics). In each set, the most relevant and non-collinear metrics were selected using a combination of methods using best subset and variance inflation factor, in order to produce predictive models of volume and biomass. CHM-only metrics (tree height and tree bounding volume [tree height x crown area] provided volume and biomass estimates of individual trees with an error (mean error ± standard deviation) of 2% ± 26% and -15% ±49%, which is equivalent to previous studies. CHM+FW metrics did not improve stem volume estimates (5% ± 31%), but they increased the accuracy of aboveground biomass estimates ( -4%±31%). The approach is limited by the delineation of individual trees. However, the results highlight the potential of full-waveform LiDAR data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return LiDAR data. Numéro de notice : A2013-053 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/JSTARS.2012.2211863 Date de publication en ligne : 27/09/2012 En ligne : http://doi.org/10.1109/JSTARS.2012.2211863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84586
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing > vol 6 n° 2 part 3 (April 2013) . - pp 924 - 934[article]The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
[article]
Titre : The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans Type de document : Article/Communication Auteurs : Pyare Pueschel, Auteur ; Glenn J. Newnham, Auteur ; Gilles Rock, Auteur ; Thomas Udelhoven, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 44 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection automatique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] semis de points
[Termes IGN] tronc
[Termes IGN] volume (grandeur)Résumé : (Auteur) Terrestrial laser scanning (TLS) has been used to estimate a number of biophysical and structural vegetation parameters. Of these stem diameter is a primary input to traditional forest inventory. While many experimental studies have confirmed the potential for TLS to successfully extract stem diameter, the estimation accuracies differ strongly for these studies – due to differences in experimental design, data processing and test plot characteristics. In order to provide consistency and maximize estimation accuracy, a systematic study into the impact of these variables is required. To contribute to such an approach, 12 scans were acquired with a FARO photon 120 at two test plots (Beech, Douglas fir) to assess the effects of scan mode and circle fitting on the extraction of stem diameter and volume. An automated tree stem detection algorithm based on the range images of single scans was developed and applied to the data. Extraction of stem diameter was achieved by slicing the point cloud and fitting circles to the slices using three different algorithms (Lemen, Pratt and Taubin), resulting in diameter profiles for each detected tree. Diameter at breast height (DBH) was determined using both the single value for the diameter fitted at the nominal breast height and by a linear fit of the stem diameter vertical profile. The latter is intended to reduce the influence of outliers and errors in the ground level determination. TLS-extracted DBH was compared to tape-measured DBH. Results show that tree stems with an unobstructed view to the scanner can be successfully extracted automatically from range images of the TLS data with detection rates of 94% for Beech and 96% for Douglas fir. If occlusion of trees is accounted for stem detection rates decrease to 85% (Beech) and 84% (Douglas fir). As far as the DBH estimation is concerned, both DBH extraction methods yield estimates which agree with reference measurements, however, the linear fit based approach proved to be more robust for the single scan DBH extraction (RMSE range 1.39–1.74 cm compared to 1.47–2.43 cm). With regard to the different circle fit algorithms applied, the algorithm by Lemen showed the best overall performance (RMSE range 1.39–1.65 cm compared to 1.49–2.43 cm). The Lemen algorithm was also found to be more robust in case of noisy data. Compared to the single scans, the DBH extraction from the merged scan data proved to be superior with significant lower RMSE’s (0.66–1.21 cm). The influence of scan mode and circle fitting is reflected in the stem volume estimates, too. Stem volumes extracted from the single scans exhibit a large variability with deviations from the reference volumes ranging from -34% to 44%. By contrast volumes extracted from the merged scans only vary weakly (-2% to 6%) and show a marginal influence of circle fitting. Numéro de notice : A2013-114 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.12.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32252
in ISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 44 - 56[article]Réservation
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