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Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species / Paulina E. Pinto in Ecological indicators, vol 71 (December 2016)
[article]
Titre : Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species Type de document : Article/Communication Auteurs : Paulina E. Pinto, Auteur ; Jean-Luc Dupouey, Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Myriam Legay, Auteur ; Stéphanie Wurpillot , Auteur ; Pierre Montpied, Auteur ; Jean-Claude Gégout, Auteur Année de publication : 2016 Projets : ARBRE / AgroParisTech (2007 -) Article en page(s) : pp 359 - 367 Note générale : bibliographie
This study was supported by the French National Institute for Agricultural Research (Forest Grassland and Freshwater Ecology Department, EFPA) through the ONF-INRA Interface Grant, “Station, distribution, croissance et choix des essences dans un contexte environnemental changeant”, and by the French National Research Agency (ANR) through the Laboratory of Excellence ARBRE (ANR-12-LABXARBRE-01)Langues : Anglais (eng) Descripteur : [Termes IGN] base de données forestières
[Termes IGN] fertilité
[Termes IGN] humidité du sol
[Termes IGN] indicateur biologique
[Termes IGN] inventaire de la végétation
[Termes IGN] placette d'échantillonnage
[Termes IGN] qualité du sol
[Termes IGN] sol acide
[Termes IGN] teneur en azote
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Soil moisture and nutritional characteristics are frequently assessed using plant species and community bioindication, e.g., the Ellenberg system of species indicator values. This method, based on complete inventories of plant species present in plots, is time-consuming, which could prevent its general use for forest or other natural land management. Our aim was to determine the impact of a reduction in the time spent to carry out a floristic inventory on the quality of soil characteristic assessment using plant bioindication. We compared the measurements of soil pH-H2O (pH), organic carbon to total nitrogen ratio (C:N) and base saturation (BS) in the 0–5 cm soil layer of 470 plots with the same variables estimated from floristic inventories of increasing duration, using plant indicator values (IV) from the EcoPlant database. The performance of predictions was evaluated by the square of the linear correlation coefficient between measured and predicted values (R2) and the root mean square error (RMSE) of predictions.
The number rather than the percentage of total plot species used for the estimations was determinant for the prediction of soil pH quality. Performance of bioindication of pH, BS and C:N reached the maximum R2 using the first 20–25 species recorded per plot, corresponding to a 14-min-long floristic inventory in comparison to a mean of 28 min spent to carry out a complete floristic inventory. A precision of prediction of 80% of the maximal precision was obtained after 4–5 min (6–12 inventoried species) for the three studied variables. These results are independent of the nutritional capability of the soils and were similar at the national and local scales. In order to estimate soil nutritional resources by plant bioindication, it is feasible to significantly reduce the time spent on floristic inventories and, thus, their cost. This is especially useful when the goal is to map the soil quality for decision-making in forest management.Numéro de notice : A2016--084 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2016.05.047 Date de publication en ligne : 25/07/2016 En ligne : http://doi.org/10.1016/j.ecolind.2016.05.047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84562
in Ecological indicators > vol 71 (December 2016) . - pp 359 - 367[article]Plot location errors of National Forest Inventory: related factors and adverse effects on continuity of plot data / Haruki Nakajima in Journal of Forest Research, vol 21 n° 6 (December 2016)
[article]
Titre : Plot location errors of National Forest Inventory: related factors and adverse effects on continuity of plot data Type de document : Article/Communication Auteurs : Haruki Nakajima, Auteur Année de publication : 2016 Article en page(s) : pp 300 - 305 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] disponibilité des données
[Termes IGN] erreur de positionnement
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Japon
[Termes IGN] placette d'échantillonnage
[Termes IGN] positionnement par GPS
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Plot location errors (distance between recorded and true coordinates) of National Forest Inventory (NFI) cause a mismatch between plot data and remotely sensed data and might prevent re-measurement because plots with large location errors are hard to find. However, few studies have examined the detailed distribution of errors and related factors, and no studies have verified whether the large errors prevent re-measurement. This study analyzed data related to 101 plots in central Japan that had been established by the First NFI (1999–2003) on a 4-km grid. Plot location errors of these plots were measured by revisiting. Selective Availability (SA) of the Global Positioning System, which degraded location accuracy until May 2000, was the most important factor in increasing plot location errors. The mean errors were 58.6 and 15.0 m, with and without SA, respectively. In 12 plots with large plot location errors (the mean error was 84.6 m), re-measurement in the Second NFI (2004–2008) was not conducted because plot locations could not be found. In these situations, alternative new plots were established; however, their species compositions were significantly different from the initial NFI plots. Plot location errors of NFI adversely affect the continuity of plot data as well as the analysis with remotely sensed data. Numéro de notice : A2016--074 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s10310-016-0538-1 Date de publication en ligne : 18/08/2016 En ligne : https://doi.org/10.1007/s10310-016-0538-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84444
in Journal of Forest Research > vol 21 n° 6 (December 2016) . - pp 300 - 305[article]Basal area and diameter distribution estimation using stereoscopic hemispherical images / Mariola Sánchez-González in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)
[article]
Titre : Basal area and diameter distribution estimation using stereoscopic hemispherical images Type de document : Article/Communication Auteurs : Mariola Sánchez-González, Auteur ; Miguel Cabrera, Auteur ; Pedro Javier Herrera, Auteur Année de publication : 2016 Article en page(s) : pp 605 - 616 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] appariement d'images
[Termes IGN] courbe de Pearson
[Termes IGN] diamètre des arbres
[Termes IGN] image hémisphérique
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] modèle stéréoscopique
[Termes IGN] placette d'échantillonnage
[Termes IGN] surface terrière
[Termes IGN] tronc
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) In recent years, proximal sensing data has increasingly been used to optimize forest inventories. In this paper, we present a forest inventory methodology based on stereoscopic hemispherical images. An automated pixel-based approach and a user-guided “region growing” approach have been developed for image matching. To estimate the basal area, number of trees and mean diameter, the sampling probability is determined for each tree. The accuracy and precision of the estimates derived from stereoscopic hemispherical images was analyzed for a set of National Forest Inventory plots. The results revealed that tree matching depends on the species, the distance to the target tree and the diameter. The Pearson correlation coefficient was 0.86 for the mean diameter and 0.89 for the basal area, whereas for the number of trees per hectare it was 0.59. The proposed methods may be used in large scale forest inventories as a cost-efficient way of obtaining data on diameter distribution and basal area from field surveys following a two-stage scheme combined with remote sensing techniques. Numéro de notice : A2016-607 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.82.8.605 En ligne : http://dx.doi.org/10.14358/PERS.82.8.605 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81805
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 8 (August 2016) . - pp 605 - 616[article]Effects of experimental warming on soil respiration and biomass in Quercus variabilis Blume and Pinus densiflora Sieb. et Zucc. seedlings / Nam Jin Noh in Annals of Forest Science, vol 73 n° 2 (June 2016)
[article]
Titre : Effects of experimental warming on soil respiration and biomass in Quercus variabilis Blume and Pinus densiflora Sieb. et Zucc. seedlings Type de document : Article/Communication Auteurs : Nam Jin Noh, Auteur ; Sun Jeong Lee, Auteur ; Wooyong Jo, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 533 - 545 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse forestière
[Termes IGN] changement climatique
[Termes IGN] écosystème forestier
[Termes IGN] Pinus densiflora
[Termes IGN] placette d'échantillonnage
[Termes IGN] Quercus variabilis
[Termes IGN] surveillance de la végétation
[Termes IGN] taxinomie
[Termes IGN] température au sol
[Termes IGN] teneur en carbone
[Termes IGN] variation saisonnière
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Key message: In the open-field warming experiment using infrared heaters, 3 °C warming affected soil respiration more in the deciduous Quercus variabilis Blume plot than in the evergreen Pinus densiflora Sieb. et Zucc. plot, but did not affect the plant biomass in either species.
Context: Understanding the species-specific responses of belowground carbon processes to warming is essential for the accurate prediction of forest carbon cycles in ecosystems affected by future climate change.
Aims: This study aimed to investigate the effect of experimental warming on soil CO2 efflux, soil-air CO2 concentration, and plant biomass for two taxonomically different temperate tree species.
Methods: Experimental warming was conducted in an open-field planted with Q. variabilis and P. densiflora seedlings. Infrared heaters increased the air temperature by 3 °C in the warmed plots compared with the air temperature in the control plots over a 2-year period.
Results: The increase in air and soil temperature stimulated soil CO2 efflux by 29 and 22 % for the Q. variabilis and P. densiflora plots, respectively. Seasonal variation in the warming effect on soil CO2 efflux was species-specific. Soil CO2 efflux was also positively related to both soil temperature and soil water content. The soil moisture deficit decreased the difference in soil CO2 efflux between the control and warmed plots. Warming did not affect soil CO2 concentration and plant biomass in either species; however, the mean soil CO2 concentration was positively correlated with root and total biomass.
Conclusion: Warming increased soil CO2 efflux in both Q. variabilis and P. densiflora plots, while the increase showed remarkable seasonal variations and different magnitudes for the two species.Numéro de notice : A2016-355 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-016-0547-4 Date de publication en ligne : 24/03/2016 En ligne : https://doi.org/10.1007/s13595-016-0547-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81067
in Annals of Forest Science > vol 73 n° 2 (June 2016) . - pp 533 - 545[article]Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data / Elisa Schäfer in Ecological indicators, vol 64 (May 2016)
[article]
Titre : Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data Type de document : Article/Communication Auteurs : Elisa Schäfer, Auteur ; Janne Heiskanen, Auteur ; Vuokko Heikinheimo, Auteur ; Petri Pellikka, Auteur Année de publication : 2016 Article en page(s) : pp 49 - 58 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] arbre (flore)
[Termes IGN] biodiversité
[Termes IGN] canopée
[Termes IGN] forêt tropicale
[Termes IGN] image aérienne
[Termes IGN] Kenya
[Termes IGN] placette d'échantillonnage
[Termes IGN] segmentation d'imageRésumé : (auteur) With the ongoing global biodiversity loss, approaches to measuring and monitoring biodiversity are necessary for effective conservation planning, especially in tropical forests. Remote sensing has much potential for biodiversity mapping, and high spatial resolution imaging spectroscopy (IS) allows for direct prediction of tree species diversity based on spectral reflectance. The objective of this study was to test an approach for mapping tree species alpha diversity that takes advantage of an unsupervised object-based clustering. Tree species diversity of a tropical montane forest in the Taita Hills, Kenya, was mapped based on spectral variation of high spatial resolution IS data.
Airborne IS data and species data from 31 field plots were collected in the study area. Species diversity measures were obtained from the IS data by clustering spectrally similar image segments representing tree crowns. In order to do this, the image was segmented to objects that represented tree crowns. Three measures of species diversity were calculated based on the field data and on the clustering results, and the relationships were statistically analyzed.
According to the results, the approach succeeded well in revealing tree species diversity patterns. Especially, tree species richness was well predicted (RMSE = 3 species; r2 = 0.50) directly based on the clustering results. The optimal number of clusters was found to be close to the estimated number of tree species in the forest. Minimum tree size was an important determinant of the relationships, because only part of the trees are visible to the airborne sensor in the multi-layered closed canopy forest.
In general, the object-based approach proved to be a viable alternative to a pixel-based clustering. The approach takes advantage of the capability of IS to detect spectral differences among tree crowns, but without the need for spectral training data, which is expensive to collect. With further development, the approach could be applied also for estimating beta diversity.Numéro de notice : A2016-346 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2015.12.026 En ligne : http://dx.doi.org/10.1016/j.ecolind.2015.12.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81035
in Ecological indicators > vol 64 (May 2016) . - pp 49 - 58[article]Optimal plot size or point sample factor for a fixed total cost using the Fairfield Smith relation of plot size to variance / Thomas B. Lynch in Forestry, an international journal of forest research, vol 90 n° 2 (March 2016)PermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkEvaluating the impact of leaf-on and leaf-off airborne laser scanning data on the estimation of forest inventory attributes with the area-based approach / Joanne C. White in Canadian Journal of Forest Research, vol 45 n° 11 (November 2015)PermalinkLinear models for airborne-laser-scanning-based operational forest inventory with small field sample size and highly correlated LiDAR data / Virpi Junttila in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)PermalinkPhosphorus nutrition of beech (Fagus sylvatica L.) is decreasing in Europe / Ulrike Talkne in Annals of Forest Science, vol 72 n° 7 (October 2015)PermalinkTropical forest canopy cover estimation using satellite imagery and airborne lidar reference data / Lauri Korhonen in Silva fennica, vol 49 n° 5 ([01/10/2015])PermalinkVariables related to nitrogen deposition improve defoliation models for European forests / Marco Ferretti in Annals of Forest Science, vol 72 n° 7 (October 2015)PermalinkEstimation 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)PermalinkApport de variables issues de la segmentation d'arbres sur données Lidar aéroporté pour l'estimation des variables dendrométriques de placettes forestières / Ana Cristina André in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkComparaison de méthodes de spatialisation pour l'agrégation par parcelle des estimations de paramètres forestiers par lidar aéroporté / Jean-Matthieu Monnet in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkEffects of micro-topographies on stand structure and tree species diversity in an old-growth evergreen broad-leaved forest, southwestern Japan / Tran Van Do in Global ecology and conservation, vol 4 (July 2015)PermalinkEstimation de paramètres forestiers par données Lidar aéroporté et imagerie satellitaire RapidEye : étude de sensibilité / Jean-Matthieu Monnet in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkGenetic differentiation of European larch along an altitudinal gradient in the French Alps / Maxime Nardin in Annals of Forest Science, vol 72 n° 5 (July 2015)PermalinkA tree-based approach to estimate wood volume from lidar data: a case study in a pine plantation / Ahmed Hamrouni in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkForest inventory attribute estimation using airborne laser scanning, aerial stereo imagery, radargrammetry and interferometry–Finnish experiences of the 3D techniques / Markus Holopainen in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkAssociation of tree and plot characteristics with microhabitat formation in European beech and Douglas-fir forests / Susanne Winter in European Journal of Forest Research, vol 134 n° 2 (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)PermalinkPermalinkEstimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution / Ivan Balenović in Annals of forest research, vol 58 n° 1 (January 2015)PermalinkUse of remotely sensed auxiliary data for improving sample-based forest inventories / Svetlana Saarela (2015)Permalink