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Past, present, and future of forest accounting: an overview of the French experience / Alexandra Niedzwiedz in Annals of Forest Science, vol 72 n° 1 (January 2015)  

Public [article]  inAnnals of Forest Science > vol 72 n° 1 (January 2015) . - pp 1 - 7 Titre : Past, present, and future of forest accounting: an overview of the French experience Type de document : Article/Communication Auteurs : Alexandra Niedzwiedz, Auteur ; Claire Montagné-Huck, Auteur Année de publication : 2015 Article en page(s) : pp 1 - 7 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] bilan économique [Termes IGN] comptabilité [Termes IGN] données environnementales [Termes IGN] données statistiques [Termes IGN] forêt [Termes IGN] France (administrative) [Termes IGN] inventaire forestier national (données France) Résumé : (auteur) Aims : This paper reminds the historical context of the development of the European framework for forest accounting and claims in favor of a better integration of economic and environmental issues in a consistent accounting framework. Context : Few articles are available on this topic, especially about development on forest accounting in France. Method : The French experience in this field is presented as expression of importance and difficulties related to this exercise. Conclusion : Discussion is open on broader international theoretical and practical challenges beyond forest accounting. Numéro de notice : A2015-379 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-014-0410-4 Date de publication en ligne : 31/07/2014 En ligne : https://doi.org/10.1007/s13595-014-0410-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76862 [article]

Assessing 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)  

Public [article]  inAnnals of Forest Science > vol 72 n° 1 (January 2015) . - pp 33 - 45 Titre : Assessing forest inventory information obtained from different inventory approaches and remote sensing data sources Type de document : Article/Communication Auteurs : Even Bergseng, Auteur ; Hans Ole Ørka, Auteur ; Erik Naesset, Auteur ; Terje Gobakken, Auteur Année de publication : 2015 Article en page(s) : pp 33 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] données multisources [Termes IGN] économie [Termes IGN] étude d'impact [Termes IGN] évaluation des données [Termes IGN] forêt boréale [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] inventaire forestier étranger (données) [Termes IGN] Norvège [Termes IGN] précision des données [Termes IGN] valeur économique Résumé : (auteur) Context : Evaluations of forest inventories usually end when accuracy and precision have been quantified. Aims : We aim to value the accuracy of information derived from different remote sensing sensors (airborne laser scanning, aerial multispectral and hyperspectral imagery) and four alternative forest inventory approaches. Methods : The approaches were (1) mean values or (2) diameter distributions both obtained by the area-based approach (ABA), (3) individual tree crown (ITC) segmentation and (4) an approach called semi-individual tree crown (SITC) segmentation. The estimated tree information was assessed and used to evaluate how erroneous inventory data affect economic value and loss due to suboptimal harvesting decisions. Field measured data used as reference come from 23 field plots collected in a study area in south-eastern Norway typical of managed boreal forests in Norway. Results : The accuracy of the forest inventory was generally in line with previous studies. Our results show that using mean values from the area-based approach may yield large economic losses, while adding a diameter distribution to the area-based approach yielded less loss than the individual tree crown methods. Adding information from imagery had little effect on the results. Conclusions : Taking inventory costs into account, diameter distributions from the area-based approach without additional information seems favourable. Numéro de notice : A2015-380 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1007/s13595-014-0389-x Date de publication en ligne : 04/06/2014 En ligne : https://doi.org/10.1007/s13595-014-0389-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76865 [article]

A 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)  

Public [article]  inAnnals of Forest Science > vol 72 n° 1 (January 2015) . - pp 47 - 56 Titre : A Swedish case study on the prediction of detailed product recovery from individual stem profiles based on airborne laser scanning Type de document : Article/Communication Auteurs : Andreas Barth, Auteur ; Johan Möller, Auteur ; Lars Wilhelmsson, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 47 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] gestion prévisionnelle [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] Suède [Termes IGN] télémétrie laser aéroporté [Termes IGN] tronc Résumé : (auteur) Context : Improved and cost-efficient predictions of detailed product recovery from logging operations may increase efficiency and improve value chains based on modern cut-to-length harvesting (CTL). Aims : The objective of this study was to investigate and evaluate the use of individual tree data estimates from two inventory techniques: (a) established airborne laser scanner inventory (ALS case) and (b) traditional field inventory (BAU case) for predicting product recovery in a Swedish case study. Methods : Statistics from previous harvester production files within the region were used to generate realistic levels of simulated stem defects. Bucking simulations were performed to optimise log products according to stem profiles, stem defects, and an operational price list expressing the demand of the industry customer. All simulation results at the stand level were compared to operational harvester production data that were used to provide an accurate measure of the ‘true’ product recovery. The total harvested area was 139 ha including 16 forest stands. Seven groups of log products were included in the analysis. The predicted versus real top diameter distributions of sawlogs were evaluated using an error index to express deviations. Results : At the stand level, the average error index values were 0.15 and 0.18 for the ALS and BAU approaches, respectively. As a consequence of an overall bias of the ALS tree lists the opposite was found at the total wood flow level, with the field-based data yielding a lower error index. Conclusions : The volume predictions for different log product groups were slightly more accurate in the ALS case than in the BAU case. Numéro de notice : A2015-381 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1007/s13595-014-0400-6 Date de publication en ligne : 13/08/2014 En ligne : https://doi.org/10.1007/s13595-014-0400-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76870 [article]

MODIS-based vegetation index has sufficient sensitivity to indicate stand-level intra-seasonal climatic stress in oak and beech forests / Tomáš Hlásny in Annals of Forest Science, vol 72 n° 1 (January 2015)  

Public [article]  inAnnals of Forest Science > vol 72 n° 1 (January 2015) . - pp 109 - 125 Titre : MODIS-based vegetation index has sufficient sensitivity to indicate stand-level intra-seasonal climatic stress in oak and beech forests Type de document : Article/Communication Auteurs : Tomáš Hlásny, Auteur ; Ivan Barka, Auteur ; Zuzana Sitková, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 109 - 125 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] chaleur [Termes IGN] classification par réseau neuronal [Termes IGN] données météorologiques [Termes IGN] Fagus (genre) [Termes IGN] forêt tempérée [Termes IGN] image Aqua-MODIS [Termes IGN] image Terra-MODIS [Termes IGN] indice de stress [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] prévision météorologique [Termes IGN] Quercus (genre) [Termes IGN] sécheresse Résumé : (auteur) Context : Variation in photosynthetic activity of trees induced by climatic stress can be effectively evaluated using remote sensing data. Although adverse effects of climate on temperate forests have been subjected to increased scrutiny, the suitability of remote sensing imagery for identification of drought stress in such forests has not been explored fully. Aim : The study seeks to evaluate the sensitivity of MODIS-based vegetation index to heat and drought stress in temperate forests, and to explore the differences in stress response of oaks and beech. Methods : We identified 8 oak and 13 beech pure and mature stands, each covering between 4 and 13 MODIS pixels. For each pixel, we extracted a time series of MODIS NDVI from 2000 to 2010. We identified all sequences of continuous unseasonal NDVI decline to be used as the response variable indicative of environmental stress. Neural network-based regression modelling was then applied to identify the climatic variables that best explain observed NDVI declines. Results : Tested variables explained 84–97 % of the variation in NDVI, whilst air temperature-related climate extremes were found to be the most influential. Beech showed a linear response to the most influential climatic predictors, while oak responded in a unimodal pattern suggesting a better coping mechanism. Conclusions : MODIS NDVI has proved sufficiently sensitive as a stand-level indicator of climatic stress acting upon temperate broadleaf forests, leading to its potential use in predicting drought stress from meteorological observations and improving parameterisation of forest stress indices. Numéro de notice : A2015-382 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1007/s13595-014-0404-2 Date de publication en ligne : 30/07/2014 En ligne : https://doi.org/10.1007/s13595-014-0404-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76874 [article]

Satellite data as indicators of tree biomass growth and forest dieback in a Mediterranean holm oak forest / Romà Ogaya in Annals of Forest Science, vol 72 n° 1 (January 2015)  

Public [article]  inAnnals of Forest Science > vol 72 n° 1 (January 2015) . - pp 135 - 144 Titre : Satellite data as indicators of tree biomass growth and forest dieback in a Mediterranean holm oak forest Type de document : Article/Communication Auteurs : Romà Ogaya, Auteur ; Adrià Barbeta, Auteur ; Corina Başnou, Auteur ; Josep Peñuelas, Auteur Année de publication : 2015 Article en page(s) : pp 135 - 144 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biomasse forestière [Termes IGN] climat méditerranéen [Termes IGN] croissance des arbres [Termes IGN] données météorologiques [Termes IGN] Enhanced vegetation index [Termes IGN] évapotranspiration [Termes IGN] forêt méditerranéenne [Termes IGN] image Aqua-MODIS [Termes IGN] image Terra-MODIS [Termes IGN] indice de végétation [Termes IGN] précipitation [Termes IGN] Quercus ilex Résumé : (auteur) Context : In the framework of climate change, decreased tree growth and enhanced mortality induced by hot and dry conditions are increasing in many forests around the world, and particularly in Mediterranean forests. Aims : Our aim was to estimate tree growth and mortality in a Mediterranean holm oak forest, using remote sensing data from MODIS. Methods : We monitored annual increases of aboveground biomass by measuring tree basal area, and we determined tree mortality by counting dead stems. We analyzed the relationships between forest growth and mortality with mean annual values of some MODIS products and meteorological data. Results : Mortality and increases of aboveground biomass correlated well with precipitation, September standardized precipitation/evapotranspiration indices (SPEI), and some MODIS products such as NDVI and enhanced vegetation index EVI. Other MODIS products such as gross primary production (GPP) and net photosynthesis, however, showed no clear relationship with tree mortality or measured increases of biomass. Conclusion : The MODIS products as proxies of ecosystemic productivity (gross primary productivity, net photosynthesis) were weakly correlated with biomass increase, and did not reflect the mortality following the drought of autumn 2011. Nevertheless, NDVI and EVI were efficient indicators of forest productivity and dieback Numéro de notice : A2015-383 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1007/s13595-014-0408-y Date de publication en ligne : 18/09/2014 En ligne : https://doi.org/10.1007/s13595-014-0408-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76875 [article]