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Crown allometry and growing space requirements of four rare domestic tree species compared to oak and beech: implications for adaptive forest management / Julia Schmucker in European Journal of Forest Research, vol 141 n° 4 (August 2022)  

Public [article]  inEuropean Journal of Forest Research > vol 141 n° 4 (August 2022) . - pp 587 - 604 Titre : Crown allometry and growing space requirements of four rare domestic tree species compared to oak and beech: implications for adaptive forest management Type de document : Article/Communication Auteurs : Julia Schmucker, Auteur ; Enno Uhl, Auteur ; Mathias Steckel, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 587 - 604 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Acer campestre [Termes IGN] Allemagne [Termes IGN] allométrie [Termes IGN] Carpinus betulus [Termes IGN] diamètre à hauteur de poitrine [Termes IGN] gestion forestière adaptative [Termes IGN] hauteur des arbres [Termes IGN] houppier [Termes IGN] régression par quantile [Termes IGN] Sorbus torminalis [Termes IGN] Ulmus (genre) [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Rare domestic tree species are increasingly being viewed as promising alternatives and additions to current main tree species in forests facing climate change. For a feasible management of these rare species, it is, however, necessary to know their growth patterns and space requirements. This information has been lacking in management and science up to now. Our study investigated the basic crown allometries of four rare domestic tree species (European hornbeam, European white elm, field maple and wild service tree) and compared them to the more established and assessable European beech and oak (sessile oak and pedunculate oak). For our analysis, we used data from eight temporary research plots located on seven sites across south-eastern Germany, augmented by data from long-term plots. Using quantile regression, we investigated the fundamental relationships between crown projection area and diameter, and height and diameter. Subsequently, we used a mixed-effect model to detect the dependence of crown allometry on different stand variables. We derived maximum stem numbers per hectare for each species at different stand heights, thus providing much-needed practical guidelines for forest managers. In the early stages of stand development, we found that European white elm and field maple can be managed with higher stem numbers than European beech, similar to those of oak. European hornbeam and wild service tree require lower stem numbers, similar to European beech. However, during first or second thinnings, we hypothesise that the rare domestic tree species must be released from competitors, as shade tolerance and competitiveness decrease with age. Furthermore, we argue that thinnings must be performed at a higher frequency in stands with admixed European beech because of the species’ high shade tolerance. When properly managed, rare species can reach target diameters similar to oak and beech. Numéro de notice : A2022-639 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10342-022-01460-w Date de publication en ligne : 31/05/2022 En ligne : https://doi.org/10.1007/s10342-022-01460-w Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101446 [article]

Emissions of CO2 from downed logs of different species and the surrounding soil in temperate forest / Ewa Błońska in Annals of forest research, Vol 65 n° 2 (July - December 2022)  

Public [article]  inAnnals of forest research > Vol 65 n° 2 (July - December 2022) . - pp 47 - 56 Titre : Emissions of CO2 from downed logs of different species and the surrounding soil in temperate forest Type de document : Article/Communication Auteurs : Ewa Błońska, Auteur ; Wojciech Piaszczyk, Auteur ; Jaroslaw Lasota, Auteur Année de publication : 2022 Article en page(s) : pp 47 - 56 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies alba [Termes IGN] Alnus glutinosa [Termes IGN] bois mort [Termes IGN] Carpinus betulus [Termes IGN] décomposition [Termes IGN] dioxyde de carbone [Termes IGN] écosystème forestier [Termes IGN] forêt tempérée [Termes IGN] Pologne [Termes IGN] Populus tremula [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) The decomposition of deadwood plays a very important role in the functioning of the forest ecosystem. The present study was conducted with the objectives to: (1) determine the amount of deadwood respiration depending on species and degree of decomposition; (2) determine the extent of the impact of decomposing wood on the amount of respiration in surrounding soil; (3) find a relationship between the amount of respiration and the chemical fractional composition of soil organic matter. Our research has shown that respiration of decaying wood samples was 2-3 times lower compared to soil, regardless of the type of wood and the degree of wood decomposition. The conducted analyses confirmed the influence of the species of wood and the degree of decomposition on the respiration rate in wood samples. More decomposed wood (4th and 5th degree of decomposition) releases more CO2 compared to less decomposed wood and the highest CO2 emissions were recorded for aspen and alder wood. Better understanding of the mechanisms and factors affecting CO2 emissions in forest ecosystem can help reduce climate change. Numéro de notice : A2022-906 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.15287/afr.2022.2386 Date de publication en ligne : 28/12/2022 En ligne : https://doi.org/10.15287/afr.2022.2386 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102322 [article]

Beech and hornbeam dominate oak 20 years after the creation of storm-induced gaps / Lucie Dietz in Forest ecology and management, vol 503 (January-1 2022)  

Public [article]  inForest ecology and management > vol 503 (January-1 2022) . - n° 119758 Titre : Beech and hornbeam dominate oak 20 years after the creation of storm-induced gaps Type de document : Article/Communication Auteurs : Lucie Dietz, Auteur ; Jean-Claude Gégout, Auteur ; Jean-Luc Dupouey, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 119758 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Carpinus betulus [Termes IGN] croissance des arbres [Termes IGN] Fagus sylvatica [Termes IGN] France (administrative) [Termes IGN] gestion forestière adaptative [Termes IGN] peuplement forestier [Termes IGN] Quercus pedunculata [Termes IGN] Quercus sessiliflora [Termes IGN] régénération (sylviculture) [Termes IGN] tempête [Termes IGN] tempête Lothar de 1999 [Vedettes matières IGN] Sylviculture Résumé : (auteur) Oak (Quercus petraea (Matt.) Liebl. and Quercus robur L. grouped), European beech (Fagus sylvatica L.) and hornbeam (Carpinus betulus L.) are three major species of western and central European forests. When conditions are suitable for the three species, silvicultural management often favours oak because of its greater economic interest. Forest managers know that beech and hornbeam are strong competitors for oak during the regeneration phase, but the conditions that influence the relative success of the regeneration of the three species growing in mixture are still poorly characterised. The natural regeneration of the three species 20 years after canopy openings was studied based on 108 study sites established in 2001 in French forests impacted by the windstorms Lothar and Martin in 1999. In spring and summer 2018 and 2019, all saplings over 0.1 m in height were counted, species were identified and diameter at breast height (DBH) was measured for all saplings over 1.30 m. The height of the saplings with the highest and median DBH in each plot was recorded for each species. Mixed models were used to analyse the combined effects of former stand type, distance from the edge of the gap and soil conditions on species presence, sapling abundance, DBH and height. The modelling approach highlighted the preponderant role of the initial seed rain on the presence and sapling density of the three species compared to interspecific competition or distance from the edge. The two latter factors had a secondary effect on sapling DBH and height. Beech and hornbeam saplings were more abundant than oak saplings regardless of soil conditions (on average, 3097, 3063 and 344 saplings ha−1, respectively), suggesting a strong competitive ability of these two species. Oak was present on 22% (43% for hornbeam and 68% for beech) of the studied plots, at a low density but with a height and DBH similar to that of beech or hornbeam. This result highlights the high dissemination capacity of beech and hornbeam, which prevents the establishment of a stand dominated by oak. When seeking to obtain oak-dominated stands in the lowlands of Europe, the abundance of beech and hornbeam can be a limiting factor that could lead to the disappearance of oak from large areas if no silvicultural operations are performed to promote it. Numéro de notice : A2022-012 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2021.119758 Date de publication en ligne : 09/10/2021 En ligne : https://doi.org/10.1016/j.foreco.2021.119758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99069 [article]

Estimating aboveground biomass in dense Hyrcanian forests by the use of Sentinel-2 data / Fardin Moradi in Forests, vol 13 n° 1 (January 2022)  

Public [article]  inForests > vol 13 n° 1 (January 2022) . - n° 104 Titre : Estimating aboveground biomass in dense Hyrcanian forests by the use of Sentinel-2 data Type de document : Article/Communication Auteurs : Fardin Moradi, Auteur ; Ali Asghar Darvishsefat, Auteur ; Manizheh Rajab Pourrahmati, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 104 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biomasse aérienne [Termes IGN] Carpinus betulus [Termes IGN] classification barycentrique [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] diamètre à hauteur de poitrine [Termes IGN] image Sentinel-MSI [Termes IGN] Iran [Termes IGN] régression multiple [Termes IGN] réseau neuronal artificiel Numéro de notice : A2022-080 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f13010104 Date de publication en ligne : 12/01/2022 En ligne : https://doi.org/10.3390/f13010104 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99472 [article]

Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest / Seyedeh Kosar Hamidi in Annals of Forest Science, vol 78 n° 1 (March 2021)  

Public [article]  inAnnals of Forest Science > vol 78 n° 1 (March 2021) . - n° 4 Titre : Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest Type de document : Article/Communication Auteurs : Seyedeh Kosar Hamidi, Auteur ; Eric K. Zenner, Auteur ; Mahmoud Bayat, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Acer velutinum [Termes IGN] Alnus cordata [Termes IGN] analyse comparative [Termes IGN] apprentissage automatique [Termes IGN] Carpinus betulus [Termes IGN] classification barycentrique [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par réseau neuronal [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] dynamique de la végétation [Termes IGN] écosystème forestier [Termes IGN] Fagus orientalis [Termes IGN] forêt inéquienne [Termes IGN] inventaire forestier étranger (données) [Termes IGN] Iran [Termes IGN] modèle de croissance végétale [Termes IGN] modèle de simulation [Termes IGN] peuplement mélangé [Termes IGN] régression linéaire [Termes IGN] volume en bois [Vedettes matières IGN] Sylviculture Résumé : (auteur) Key message: We modeled 10-year net stand volume growth with four machine learning (ML) methods, i.e., artificial neural networks (ANN), support vector machines (SVM), random forests (RF), and nearest neighbor analysis (NN), and with linear regression analysis. Incorporating interactions of multiple variables, the ML methods ANN and SVM predicted nonlinear system behavior and unraveled complex relations with greater accuracy than regression analysis. Context: Investigating the quantitative and qualitative characteristics of short-term forest dynamics is essential for testing whether the desired goals in forest-ecosystem conservation and restoration are achieved. Inventory data from the Jojadeh section of the Farim Forest located in the uneven-aged, mixed Hyrcanian Forest were used to model and predict 10-year net annual stand volume increment with new machine learning technologies. Aims: The main objective of this study was to predict net annual stand volume increment as the preeminent factor of forest growth and yield models. Methods: In the current study, volume increment was modeled from two consecutive inventories in 2003 and 2013 using four machine learning techniques that used physiographic data of the forest as input for model development: (i) artificial neural networks (ANN), (ii) support vector machines (SVM), (iii) random forests (RF), and (iv) nearest neighbor analysis (NN). Results from the various machine learning technologies were compared against results produced with regression analysis. Results: ANNs and SVMs with a linear kernel function that incorporated field-measurements of terrain slope and aspect as input variables were able to predict plot-level volume increment with a greater accuracy (94%) than regression analysis (87%). Conclusion: These results provide compelling evidence for the added utility of machine learning technologies for modeling plot-level volume increment in the context of forest dynamics and management. Numéro de notice : A2021-071 Affiliation des auteurs : non IGN Thématique : FORET/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-020-01011-6 Date de publication en ligne : 12/01/2021 En ligne : https://doi.org/10.1007/s13595-020-01011-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96794 [article]

Dynamique spontanée post-tempête de la végétation forestière en contexte de changement climatique / Lucie Dietz (2020)  

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Guide de gestion des crises sanitaires en forêt / Louise Brunier (2020)

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La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2016)    

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La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2014)    

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La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2013)    

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Trois associations végétales nouvelles des forêts du domaine médio-européen français : Deschampsio cespitosae-Fagetum sylvaticae, Sorbo ariae-Quercetum petraeae et Carici brizoidis-Fraxinetum excelsioris / Benoit Renaux in Revue forestière française, vol 62 n° 3-4 (mai - août 2010)  

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Conduite des opérations de régénération dans les chênaies-charmaies du Centre de la France / Jean-Paul Nebout in Forêt entreprise, n° 187 (2009/4)

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Forest biodiversity of the Gargano Peninsula and a critical revision of the syntaxonomy of the mesophilous woods of southern Italy / Edoardo Biondi in Fitosociologia, vol 45 n° 2 (2008)    

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Typologie des stations forestières et interprétations biogéographiques : application à une comparaison Bas-Dauphiné / avant-pays savoyard / Didier Joud in Revue d'écologie alpine, vol 3 (1996)  

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Carte écologique des Alpes au 1:100 000, feuille de Cannes (Q22) / Marcel Barbero in Documents de cartographie écologique, n° 14 (1974-2)  

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