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Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory / Francesco Minunno in Forest ecology and management, vol 440 (15 May 2019)
Titre : Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory Type de document : Article/Communication Auteurs : Francesco Minunno, Auteur ; Mikko Peltoniemi, Auteur ; Sanna Härkönen, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 208-257 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] assimilation des données
[Termes descripteurs IGN] Betula pendula
[Termes descripteurs IGN] bois sur pied
[Termes descripteurs IGN] carbone
[Termes descripteurs IGN] changement climatique
[Termes descripteurs IGN] diamètre à hauteur de poitrine
[Termes descripteurs IGN] estimation bayesienne
[Termes descripteurs IGN] étalonnage de modèle
[Termes descripteurs IGN] Finlande
[Termes descripteurs IGN] gestion forestière
[Termes descripteurs IGN] hauteur à la base du houppier
[Termes descripteurs IGN] hauteur des arbres
[Termes descripteurs IGN] inventaire forestier étranger (données)
[Termes descripteurs IGN] modèle de croissance
[Termes descripteurs IGN] modèle de simulation
[Termes descripteurs IGN] modélisation de la forêt
[Termes descripteurs IGN] Pinus sylvestrisRésumé : (auteur) Policy-relevant forest models must be environment and management sensitive and provide unbiased estimates of predicted variables over their intended areas of application. While empirical models derive their structure and parameters from representative data sets, process-based model (PBM) parameters should be evaluated in ranges that have a biological meaning independently of output data. At the same time PBMs should be calibrated against observations in order to obtain unbiased estimates and an understanding of their predictive capability. By means of model data assimilation, we Bayesian calibrated a forest model (PREBAS) using an extensive dataset that covered a wide range of climatic conditions, species composition and management practices. PREBAS was calibrated for three species in Finland: Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies [L.] H. Karst.) and Silver birch (Betula pendula L.). Data assimilation was strongly effective in reducing the uncertainty of PREBAS parameters and predictions. A country-generic calibration showed robust performances in predicting forest variables and the results were consistent with yield tables and national forest statistics. The posterior predictive uncertainty of the model was mainly influenced by the uncertainty of the structural and measurement error. Numéro de notice : A2019-486 Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2019.02.041 date de publication en ligne : 20/03/2019 En ligne : https://doi.org/10.1016/j.foreco.2019.02.041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93666
in Forest ecology and management > vol 440 (15 May 2019) . - pp 208-257[article]
Titre : GIS Coop: networks of silvicultural trials for supporting forest management under changing environment Titre original : Review Paper Type de document : Article/Communication Auteurs : Ingrid Seynave, Auteur ; Alain Bailly, Auteur ; Philippe Balandier, Auteur ; Jean-Daniel Bontemps Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes descripteurs IGN] Abies alba
[Termes descripteurs IGN] auto-éclaircie
[Termes descripteurs IGN] base de données forestières
[Termes descripteurs IGN] données écologiques
[Termes descripteurs IGN] essai
[Termes descripteurs IGN] facteur édaphique
[Termes descripteurs IGN] France (administrative)
[Termes descripteurs IGN] gestion forestière
[Termes descripteurs IGN] modélisation de la forêt
[Termes descripteurs IGN] Pinus nigra
[Termes descripteurs IGN] Pinus pinaster
[Termes descripteurs IGN] pseudotsuga menziesii
[Termes descripteurs IGN] quercus pedunculata
[Termes descripteurs IGN] quercus sessiliflora
[Termes descripteurs IGN] SIG participatifRésumé : (Auteur) Key message: The diversity of forest management systems and the contrasted competition level treatments applied make the experimental networks of the GIS Coop, a nationwide testing program in the field of emerging forestry topics within the framework of the ongoing global changes.
Context: To understand the dynamics of forest management systems and build adapted growth models for new forestry practices, long-term experiment networks remain more crucial than ever.
Aims: Two principles are at the basis of the experimental design of the networks of the Scientific Interest Group Cooperative for data on forest tree and stand growth (GIS Coop): contrasted and extreme silvicultural treatments in diverse pedoclimatic contexts.
Methods: Various forest management systems are under study: regular and even-aged stands of Douglas fir, sessile and pedunculate oaks, Maritime and Laricio pines, mixed stands of sessile oak, European silver fir, and Douglas fir combined with other species. Highly contrasted stand density regimes, from open growth to self-thinning, are formalized quantitatively.
Results: One hundred and eighty-five sites representing a total of 1206 plots have been set up in the last 20 years, where trees are measured regularly (every 3 to 10 years). The major outputs of these networks for research and management are the calibration/validation of growth and yield models and the drawing up of forest management guides
Conclusion: The GIS Coop adapts its networks so that they can contribute to develop growth models that explicitly integrate pedoclimatic factors and thus also contribute to research on the sustainability of ecosystems under environmental and socio-economic changes.Numéro de notice : A2018-325 Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-018-0692-z date de publication en ligne : 09/04/2018 En ligne : https://doi.org/10.1007/s13595-018-0692-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90468
in Annals of Forest Science [en ligne] > vol 75 n° 2 (June 2018)[article]Documents numériques
en open access
GIS Coop networks... - pdf éditeurAdobe Acrobat PDF
Titre : A Markov chain model for simulating wood supply from any-aged forest management based on national forest inventory (NFI) data Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Tuula Packalen, Auteur Année de publication : 2017 Article en page(s) : pp 307 - Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] chaîne de Markov
[Termes descripteurs IGN] Finlande
[Termes descripteurs IGN] gestion forestière durable
[Termes descripteurs IGN] inventaire forestier étranger (données)
[Termes descripteurs IGN] modèle de simulation
[Termes descripteurs IGN] modélisation de la forêt
[Termes descripteurs IGN] ressources forestières
[Vedettes matières IGN] Economie forestièreRésumé : (auteur) Markov chain models have been applied for a long time to simulate forest dynamics based on transitions in matrices of tree diameter classes or areas of forest size and structure types. To date, area-based matrix models have been applied assuming either even-aged or uneven-aged forest management. However, both management systems may be applied simultaneously due to land-use constraints or the rationality of combining the systems, which is called any-aged management. We integrated two different Markov chain models, one for even-aged and another for uneven-aged forest management, in an area-based approach to analyze wood supply from any-aged forest management. We evaluate the impacts of parameterizing the model based on available data sets, namely permanent and temporary Finnish National Forest Inventory (NFI) sample plots and a plot-level simulator to determine transitions due to different types of thinning treatments, and present recommendations for the related methodological choices. Our overall observation is that the combined modelling chain simulated the development of both the even- and uneven-aged forest structures realistically. Due to the flexibility of the implementation, the approach is very well suited for situations where scenario assumptions need to be varied according to expected changes in silvicultural practices or land-use constraints, for example. Numéro de notice : A2017-636 Thématique : FORET Nature : Article DOI : 10.3390/f8090307 En ligne : http://doi.org/10.3390/f8090307 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86986
in Forests > vol 8 n° 9 (September 2017) . - pp 307 -[article]
Titre : Forest modelling: the gamma shape mixture model and simulation of tree diameter distributions Type de document : Article/Communication Auteurs : Rafał Podlaski, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes descripteurs IGN] arbre (flore)
[Termes descripteurs IGN] densité de la végétation
[Termes descripteurs IGN] diamètre à hauteur de poitrine
[Termes descripteurs IGN] diamètre des arbres
[Termes descripteurs IGN] dynamique de la végétation
[Termes descripteurs IGN] estimation par noyau
[Termes descripteurs IGN] modèle de simulation
[Termes descripteurs IGN] modélisation de la forêt
[Termes descripteurs IGN] surveillance de la végétationRésumé : (auteur) Key message: New types of distribution functions are needed to model the dynamics of stands where important age classes are represented by few trees. In this study, the gamma shape mixture model and two simulation methods were used for generating tree diameter data.
• Context: To analyse forest dynamics, it is necessary to know distribution of the characteristics (mainly tree diameters) of trees forming particular developmental phases. In many forest inventories, the measurement of large diameter at breast height (DBH) samples is practically impossible. In this case, DBH distributions can be generated using theoretical models.
• Aims: The aim of this study was to assess the precision of the approximation of empirical DBH data using the gamma shape mixture (GSM) model and kernel density estimation. The strengths and weaknesses of the two simulation methods were presented and discussed.
• Methods: The GSM model was adopted to approximate empirical DBH data collected in 20 near-natural stands. Two simulation methods were used: (a) the procedure based on a multimodal distribution and gamma random numbers (MDGR procedure) and (b) MCMC techniques with Metropolis–Hastings sampling (MH method).
• Results: The GSM model precisely fitted the investigated DBH distributions. The MDGR procedure was slightly more precise than the MH method, especially in the case of the samples of 250 DBHs. The level of homogeneity within the drawn DBH sets was similar for all samples.
• Conclusion: The GSM model is very flexible. The DBH random variates, generated with the use of analysed procedures, represented all tree generations being significant from a biological point of view.Numéro de notice : A2017-109 Thématique : FORET Nature : Article En ligne : http://dx.doi.or/10.1007/s13595-017-0629-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84500
in Annals of Forest Science [en ligne] > vol 74 n° 2 (June 2017)[article]
Titre : How does spatial scale affect species richness modelling? A test using remote sensing data and geostatistics Type de document : Article/Communication Auteurs : M. Marcantonio, Auteur ; S. Martellos, Auteur ; A. Altobelli, Auteur ; et al., Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] autocorrélation spatiale
[Termes descripteurs IGN] krigeage
[Termes descripteurs IGN] modèle linéaire
[Termes descripteurs IGN] modélisation de la forêt
[Termes descripteurs IGN] richesse floristique
[Termes descripteurs IGN] Sienne
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Spatially-explicit dataset of plant species occurrences collected in the Province of Siena (Central Italy) is analysed, with the aim of investigating a) the relative role of environmental factors in shaping spatial patterns of plant species richness, and b) how the spatial scale at which predictors have been sampled determines the explicative power of species richness models. The optimal spatial resolution of analysis was evaluated with respect to the total deviance explained by models, using a set of environmental and remotely sensed derived predictors calculated at different spatial scales. Results confirm the hypothesis that the predictive power of landscape structure is influenced by the spatial scale at which predictor variables have been sampled. Furthermore, the relevance of identifying a proper geographical scale of investigation, hence minimizing the redundancy in the predictor variables and maximising the explanatory power of the single groups of predictor variables, is highlighted as well. Numéro de notice : A2017-649 Thématique : FORET Nature : Article DOI : 10.4462/annbotrm-138 En ligne : http://dx.doi.org/10.4462/annbotrm-13804 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87017
in Annali di Botanica > vol 7 (2017)[article]PermalinkPermalinkPermalink
