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Spatiotemporal variation in the relationship between boreal forest productivity proxies and climate data / Clémentine Ols in Dendrochronologia, vol 58 (December 2019)  

Public [article]  inDendrochronologia > vol 58 (December 2019) Titre : Spatiotemporal variation in the relationship between boreal forest productivity proxies and climate data Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Ingvil Kålås, Auteur ; Igor Drobyshev, Auteur ; Lars Söderström, Auteur ; Annika Hofgaard, Auteur Année de publication : 2019 Projets : PREREAL / Ali, Ahmed Adam Note générale : bibliographie This work is a product under the NINA’s strategic institute program portfolio and the PREREAL project funded by the Research Council of Norway (grant no.160022/F40 and260400/E10; AH), and part of NordicDendro, a Nordic-Canadian network on forest growth research, supported by Nordic Council of Ministers (grant no.12,262; ID). Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] données météorologiques [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] forêt boréale [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] Norvège [Termes descripteurs IGN] Pinus sylvestris [Termes descripteurs IGN] productivité [Termes descripteurs IGN] puits de carbone [Termes descripteurs IGN] série temporelle [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) The impacts of climate change on high-latitude forest ecosystems are still uncertain. Divergent forest productivity trends have recently been reported both at the local and regional level challenging the projections of boreal tree growth dynamics. The present study investigated (i) the responses of different forest productivity proxies to monthly climate (temperature and precipitation) through space and time; and (ii) the local coherency between these proxies through time at four high-latitude boreal Scots pine sites (coastal and inland) in Norway. Forest productivity proxies consisted of two proxies representing stem growth dynamics (radial and height growth) and one proxy representing canopy dynamics (cumulative May-to-September Normalized Difference Vegetation Index (NDVI)). Between-proxy and climate-proxy correlations were computed over the 1982–2011 period and over two 15-yr sub-periods. Over the entire period, radial growth significantly correlated with current year July temperature, and height growth and cumulative NDVI significantly correlated with previous and current growing season temperatures. Significant climate responses were quite similar across sites, despite some higher sensitivity to non-growing season climate at inland sites. Significant climate-proxy correlations identified over the entire period were temporarily unstable. Local coherency between proxies was generally insignificant. The spatiotemporal instability in climate-proxy correlations observed for all proxies underlines evolving responses to climate and challenges the modelling of forest productivity. The general lack of local coherency between proxies at our four study sites suggests that forest productivity estimations based on a single proxy should be considered with great caution. The combined use of different forest growth metrics may help circumvent uncertainties in capturing responses of forest productivity to climate variability and improve estimations of carbon sequestration by forest ecosystems. Numéro de notice : A2019-618 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.dendro.2019.125648 date de publication en ligne : 06/11/2019 En ligne : https://doi.org/10.1016/j.dendro.2019.125648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95346 [article]

How do trees respond to species mixing in experimental compared to observational studies? / Stephan Kambach in Ecology and Evolution, vol 9 n° 19 (October 2019)  

Public [article]  inEcology and Evolution > vol 9 n° 19 (October 2019) Titre : How do trees respond to species mixing in experimental compared to observational studies? Type de document : Article/Communication Auteurs : Stephan Kambach, Auteur ; Eric Allan, Auteur ; Simon Bilodeau‐Gauthier, Auteur ; David A. Coomes, Auteur ; Josephine Haase, Auteur ; Tommaso Jucker, Auteur ; Georges Kunstler, Auteur ; Sandra Müller, Auteur ; Charles Nock, Auteur ; Alain Paquette, Auteur ; Fons van der plas, Auteur ; Sophie Ratcliffe, Auteur ; Fabian Roger, Auteur ; Paloma Ruiz-Benito, Auteur ; Michael Scherer‐Lorenzen, Auteur ; Harald Auge, Auteur ; Olivier Bouriaud , Auteur ; et al., Auteur Année de publication : 2019 Projets : 1-Pas de projet / Note générale : bibliographie This paper is a joint effort of the working group sFundivEurope kindly supported by sDiv, the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, funded by the German Research Foundation (FZT 118). The FunDivEUROPE project received funding from the European Union's Seventh Programme (FP7/2007–2013) under grant agreement No. 26517. Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] diamètre des arbres [Termes descripteurs IGN] forêt de production [Termes descripteurs IGN] inventaire forestier étranger (données) [Termes descripteurs IGN] peuplement mélangé [Termes descripteurs IGN] productivité [Vedettes matières IGN] Sylviculture Résumé : (auteur) For decades, ecologists have investigated the effects of tree species diversity on tree productivity at different scales and with different approaches ranging from observational to experimental study designs. Using data from five European national forest inventories (16,773 plots), six tree species diversity experiments (584 plots), and six networks of comparative plots (169 plots), we tested whether tree species growth responses to species mixing are consistent and therefore transferrable between those different research approaches. Our results confirm the general positive effect of tree species mixing on species growth (16% on average) but we found no consistency in species‐specific responses to mixing between any of the three approaches, even after restricting comparisons to only those plots that shared similar mixtures compositions and forest types. These findings highlight the necessity to consider results from different research approaches when selecting species mixtures that should maximize positive forest biodiversity and functioning relationships. Numéro de notice : A2019-616 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1002/ece3.5627 date de publication en ligne : 10/09/2019 En ligne : https://doi.org/10.1002/ece3.5627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95342 [article]

The process-based forest growth model 3-PG for use in forest management : A review / Rajit Gupta in Ecological modelling, vol 397 (1 April 2019)  

Public [article]  inEcological modelling > vol 397 (1 April 2019) . - pp 55 - 73 Titre : The process-based forest growth model 3-PG for use in forest management : A review Type de document : Article/Communication Auteurs : Rajit Gupta, Auteur ; Laxmi Kant Sharma, Auteur Année de publication : 2019 Article en page(s) : pp 55 - 73 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] biomasse [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] gestion forestière durable [Termes descripteurs IGN] Leaf Area Index [Termes descripteurs IGN] modèle de croissance [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] productivité [Termes descripteurs IGN] service écosystémique [Termes descripteurs IGN] teneur en eau de la végétation [Termes descripteurs IGN] variable biophysique (végétation) [Vedettes matières IGN] Végétation et changement climatique Mots-clés libres : 3-PG (Physiological Principles in Predicting Growth) Résumé : (Auteur) Forests are a critical resource, and need proper management in the face of dire climatic changes facing the world today. Advances in modelling system result in the formulation of numerous forest modelling approaches to provide an estimation of forests services. One such useful and straightforward forest modelling approach is process-based modelling, relying on physiological processes and biophysical parameters of forest ecosystems. It is based on parametric calculations and allometric equations, delivering crucial outputs for forest management. The dynamic 3-PG (Physiological Principles in Predicting Growth) is a process-based model (PBM) based on an ecosystem physiological process-based modelling approach. The various applications and flexible nature of the 3-PG model have resulted in its adoption and utilization over several regions of the world. The 3-PGS (Physiological Principles in Predicting Growth with Satellite) model is a modified and spatial version of the 3-PG model that took advantages of remote sensing & GIS (Geographical Information System) for estimation of biophysical variables like FAPAR (Fraction of absorbed photosynthetically active radiation), LAI (Leaf area index), and Canopy water content (CWC), which are tedious and laborious to calculate manually. The integration of remote sensing & GIS with PBMs offers insights to predict forest biomass and productivity at a regional level. Also, coupling of the 3-PG/3-PGS model with other modelling and statistical approaches in a GIS environment provides insights into the prediction of species distributions and potential disturbances due to climatic changes. The 3-PG model was originally designed for relatively homogenous forests; but with the recent development, the 3-PGmix has extended its use to mixed species forests. In this review, we have tried to emphasize the general overview, structure, applications, and efficacy of the process-based 3-PG model for forest management. In future, forests and their ecosystem services are expected to be rigorously influenced by climatic variations. Therefore, it is important to understand the role and effectiveness of the forest growth model 3-PG under the influence of climate change. The 3-PG model performs well for a diverse range of conditions for many forest types and species, and could be integrated with other models and approaches in order to widen its functions and applications. Areas such as Fertility Rating (FR), sensitivity and uncertainty of outputs to the model inputs in the 3-PG model requires attention to remove the weaker side, and to increase the effectiveness and accuracy of model outputs. In addition, the model performance can be improved by calculating its parameters from the population of interest, rather than using default values or values from extant literature. Furthermore, high-resolution remote sensing datasets and accurate input field data could increase the accuracy of the 3-PG/3-PGS model predictions at a broad regional level. In general, the simple forest growth model 3-PG delivers practical outputs, which are directly used in forest management. Additionally, the functions and applications of the 3-PG/3-PGS/3-PGmix model could be explored to deal with the impacts of climate change on forests and to ensure the sustainable management of forests. Numéro de notice : A2019-228 Thématique : FORET/MATHEMATIQUE Nature : Article DOI : 10.1016/j.ecolmodel.2019.01.007 date de publication en ligne : 12/02/2019 En ligne : https://doi.org/10.1016/j.ecolmodel.2019.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92743 [article]

Temporal and spatial high-resolution climate data from 1961 to 2100 for the German National Forest Inventory (NFI) / Helge Dietrich in Annals of Forest Science [en ligne], vol 76 n° 1 (March 2019)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 76 n° 1 (March 2019) Titre : Temporal and spatial high-resolution climate data from 1961 to 2100 for the German National Forest Inventory (NFI) Type de document : Article/Communication Auteurs : Helge Dietrich, Auteur ; Thilo Wolf, Auteur ; Tobias Kawohl, Auteur ; Jan Wehberg, Auteur ; Gerald Kändler, Auteur ; Tobias Mette, Auteur ; Arno Röder, Auteur ; ürgen Böhner, Auteur Année de publication : 2019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] Allemagne [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] données environnementales [Termes descripteurs IGN] données météorologiques [Termes descripteurs IGN] historique des données [Termes descripteurs IGN] inventaire forestier étranger (données) [Termes descripteurs IGN] largeur de bande [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] productivité [Termes descripteurs IGN] rayonnement solaire [Termes descripteurs IGN] régression géographiquement pondérée [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] station météorologique [Vedettes matières IGN] Inventaire forestier Résumé : (auteur) The “NFI 2012 environmental data base climate” is part of the environmental database of the German National Forest Inventory. It contains climate information for 26,450 inventory points generated from gridded daily climate data for 1961–2100 at a spatial resolution of 250 m. Grids are based on DWD-Observations and REMO EURO-CORDEX climate projections. Access to the databases is provided via the URL: https://doi.org/10.3220/DATA/20180823-102429. Associated metadata are available at https://agroenvgeo.data.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/d0789030-c94e-4883-8d38-2a7332c98673. Numéro de notice : A2019-043 Thématique : FORET Nature : Article DOI : 10.1007/s13595-018-0788-5 date de publication en ligne : 23/01/2019 En ligne : https://doi.org/10.1007/s13595-018-0788-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92049 [article]

Effect of forest structure on stand productivity in Central European forests depends on developmental stage and tree species diversity / Laura Zeller in Forest ecology and management, vol 434 (28 February 2019)  

Public [article]  inForest ecology and management > vol 434 (28 February 2019) . - pp 193 - 204 Titre : Effect of forest structure on stand productivity in Central European forests depends on developmental stage and tree species diversity Type de document : Article/Communication Auteurs : Laura Zeller, Auteur ; Hans Pretzsch, Auteur Année de publication : 2019 Article en page(s) : pp 193 - 204 Note générale : bibliography Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] biodiversité végétale [Termes descripteurs IGN] classe d'âge [Termes descripteurs IGN] coefficient de Gini [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] entropie de Shannon [Termes descripteurs IGN] Europe centrale [Termes descripteurs IGN] gestion forestière [Termes descripteurs IGN] hétérogénéité environnementale [Termes descripteurs IGN] peuplement forestier [Termes descripteurs IGN] productivité [Termes descripteurs IGN] structure d'un peuplement forestier [Termes descripteurs IGN] volume en bois [Vedettes matières IGN] Sylviculture Résumé : (auteur) Recently, many studies have found positive biodiversity–productivity relationships in forests. In contrast, different types of correlations have been identified in the analyses of tree diversity–structure–productivity relationships. We suspect that these conflicting conclusions might result from the different developmental stages of the investigated forest stands. We therefore analyzed the development of tree diversity–structure–productivity relationships at the stand level and individual tree level in 192 long-term experimental plots in Central Europe. As a measure of stand productivity, we analyzed stand volume growth (m3 ha−1 year−1). Tree species diversity was quantified by the Shannon index and structural heterogeneity was represented by the Gini coefficient of basal area. For a more detailed analysis at the tree level using a smaller portion of the dataset, the tree position–dependent indices, diameter differentiation index, and aggregation index were used. Whether the effect of structural heterogeneity on stand productivity was positive or negative depended on the stand development stage. In early developmental stages, high structural heterogeneity lowered productivity. In later developmental stages, however, stand structural heterogeneity had a positive effect on productivity. Our study might provide insights regarding the mechanisms underlying the contradictory findings obtained in recent studies dealing with tree diversity–structure–productivity relationships. This knowledge is vital for the adaptation of forest management to meet future demands on forest ecosystems. Numéro de notice : A2019-011 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.12.024 date de publication en ligne : 19/12/2018 En ligne : https://doi.org/10.1016/j.foreco.2018.12.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91613 [article]

When do dendrometric rules fail? Insights from 20 years of experimental thinnings on sessile oak in the GIS Coop network / Raphaël Trouvé in Forest ecology and management, vol 433 (15 February 2019)  

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Species mixing effects on forest productivity : A case study at stand-, species- and tree-level in the Netherlands / Huicui Lu in Forests, vol 9 n° 11 (November 2018)  

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Drought sensitiveness on forest growth in peninsular Spain and the Balearic Islands / Marina Peña-Gallardo in Forests, vol 9 n° 9 (September 2018)  

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Estimation and uncertainty of the mixing effects on Scots pine—European beech productivity from national forest inventories data / Sonia Condés in Forests, vol 9 n° 9 (September 2018)  

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Static site indices from different national forest inventories: harmonization and prediction from site conditions / Susanne Brandl in Annals of Forest Science [en ligne], vol 75 n° 2 (June 2018)  

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A comparison of two methods of data collection for modelling productivity of harvesters: manual time study and follow-up study using on-board-computer stem records / Julia Brewer in Annals of forest research, vol 61 n° 1 (January - June 2018)  

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Terrestrial laser scanning reveals differences in crown structure of Fagus sylvatica in mixed vs. pure European forests / Ignacio Barbeito in Forest ecology and management, vol 405 (1 December 2017)  

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Accuracy accelerated / John Stenmark in GEO: Geoconnexion international, vol 16 n° 6 (June2017)

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Determining forest degradation, ecosystem state and resilience using a standard stand stocking measurement diagram: theory into practice / Carlos Bahamondez in Forestry, an international journal of forest research, vol 89 n° 3 (July 2016)  

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La fabrication additive : une technologie de pointe économique et rapide / Anonyme in Informations entreprise, n° 160 supplément (mai 2016)

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