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Climate envelope analyses suggests significant rearrangements in the distribution ranges of Central European tree species / Gàbor Illés in Annals of Forest Science, vol 79 n° 1 (2022)  

Public [article]  inAnnals of Forest Science > vol 79 n° 1 (2022) . - n° 35 Titre : Climate envelope analyses suggests significant rearrangements in the distribution ranges of Central European tree species Type de document : Article/Communication Auteurs : Gàbor Illés, Auteur ; Norbert Móricz, Auteur Année de publication : 2022 Article en page(s) : n° 35 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] adaptation (biologie) [Termes IGN] bioclimatologie [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] Europe centrale [Termes IGN] Fagus sylvatica [Termes IGN] gestion forestière durable [Termes IGN] INSPIRE [Termes IGN] modèle dynamique [Termes IGN] modélisation de la forêt [Termes IGN] Picea abies [Termes IGN] Quercus cerris [Termes IGN] Quercus pubescens [Termes IGN] Quercus sessiliflora [Termes IGN] répartition géographique [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Key message: Climate envelope analysis of nine tree species shows that Fagus sylvatica L. and Picea abies H. Karst could lose 58% and 40% of their current distribution range. Quercus pubescens Willd and Quercus cerris L. may win areas equal with 47% and 43% of their current ranges. The ratio of poorly predictable areas increases by 105% in southern and south-eastern Europe. Context: Climate change requires adaptive forest management implementations. To achieve climate neutrality, we have to maintain and expand forest areas. Impact assessments have great importance. Aims: The study estimates the potential climate envelopes of nine European tree species for a past period (1961–1990) and for three future periods (2011–2040, 2041–2070, 2071–2100) under two emission scenarios (RCP4.5 and RCP8.5) based on the current species distribution. Methods: Climate envelopes were estimated simultaneously using the random forest method. Multi-resolution segmentation was used to determine the climatic characteristics of each species and their combinations. Models were limited to the geographical area within which the climatic conditions correspond to the climatic range of the training areas. Results: Results showed remarkable changes in the extent of geographic areas of all the investigated species’ climate envelopes. Many of the tree species of Central Europe could lose significant portions of their distribution range. Adhering to the shift in climate, these tree species shift further north as well as towards higher altitudes. Conclusion: European forests face remarkable changes, and the results support climate envelope modelling as an important tool that provides guidelines for climate adaptation to identify threatened areas or to select source and destination areas for reproductive material. Numéro de notice : A2022-631 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1186/s13595-022-01154-8 Date de publication en ligne : 09/08/2022 En ligne : https://doi.org/10.1186/s13595-022-01154-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101395 [article]

Coupling fossil records and traditional discrimination metrics to test how genetic information improves species distribution models of the European beech Fagus sylvatica / Pedro Poli in European Journal of Forest Research, vol 141 n° 2 (April 2022)  

Public [article]  inEuropean Journal of Forest Research > vol 141 n° 2 (April 2022) . - pp - 253–265 Titre : Coupling fossil records and traditional discrimination metrics to test how genetic information improves species distribution models of the European beech Fagus sylvatica Type de document : Article/Communication Auteurs : Pedro Poli, Auteur ; Annie Guiller, Auteur ; Jonathan Lenoir, Auteur Année de publication : 2022 Article en page(s) : pp - 253–265 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] adaptation (biologie) [Termes IGN] bioclimatologie [Termes IGN] distribution spatiale [Termes IGN] espèce végétale [Termes IGN] Europe (géographie politique) [Termes IGN] Fagus sylvatica [Termes IGN] fossile [Termes IGN] génétique forestière [Termes IGN] Holocène [Termes IGN] modèle de simulation [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Species distribution models (SDMs) are widely used to hindcast or forecast suitable habitat conditions during climate change. Although distant populations of a given species may show local adaptations to diverging environmental conditions, traditional SDMs disregard intraspecific variation. Yet, incorporating genetic information into SDMs could improve predictions. Here we aimed at investigating whether genetically informed SDMs would outperform traditional SDMs. Using published information on the spatial genetic structure of the European Beech Fagus sylvatica L. (1753), we built lineage-specific SDMs for each phylogenetic group of the species. We then combined all lineage-specific SDMs into a single genetically informed SDM that we compared against a traditional SDM approach. We finally compared SDMs’ predictions against independent datasets of present-day distribution as well as fossil distribution data from the Mid-Holocene, using six metrics of model performance. We found that aggregating lineage-specific SDMs into a single genetically informed SDM increased model performances to identify suitable areas currently occupied by F. sylvatica. In comparison to a traditional SDM, the genetically informed SDM we built for F. sylvatica assigned higher probabilities of occurrence during the Mid-Holocene at locations where fossil records were found. Aggregating lineage-specific SDMs into a single genetically informed SDM seems to outperform the traditional SDM approach, especially so when the aim is to identify potentially suitable areas of occupancy. This could be particularly useful for the identification of cryptic refugia that remain undetected by traditional SDMs. Genetically informed SDMs have the potential to improve our understanding of species redistribution under climate change. Numéro de notice : A2022-296 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s10342-021-01437-1 Date de publication en ligne : 27/01/2022 En ligne : https://doi.org/10.1007/s10342-021-01437-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100353 [article]

An ecological approach to climate change-informed tree species selection for reforestation / William H. MacKenzie in Forest ecology and management, vol 481 (February 2021)  

Public [article]  inForest ecology and management > vol 481 (February 2021) . - n° 118705 Titre : An ecological approach to climate change-informed tree species selection for reforestation Type de document : Article/Communication Auteurs : William H. MacKenzie, Auteur ; Colin R. Mahony, Auteur Année de publication : 2021 Article en page(s) : n° 118705 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] altitude [Termes IGN] bioclimatologie [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] écosystème forestier [Termes IGN] facteur édaphique [Termes IGN] reboisement [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Accounting for climate change in reforestation practices has the potential to be one of the most efficacious adaptation strategies for maintaining future forest ecosystem services. There is a rich literature projecting spatial shifts in climatic suitability for tree species and strong scientific evidence for the necessity of assisted migration. However, there has been limited translation of this research into operational reforestation, due in part to mismatches to the information needs of practitioners. Here, we describe a practitioner-focused climate change informed tree species selection (CCISS) model to support reforestation decisions in British Columbia (BC). CCISS projects the climate change redistribution of bioclimate units from the multi-scaled Biogeoclimatic Ecosystem Classification (BEC) system with machine-learning for 90 modelled futures. It leverages the reforestation knowledge from BEC to make site-specific species projections of reforestation feasibility with climate change uncertainty metrics. We present 21st-century feasibility projections for a comprehensive set of tree species native to western North America. Some general trends are evident: augmentation of the number of feasible species in sub-boreal regions due to the rapid expansion of feasibility for temperate species; attrition at low elevations in southern BC due to declines in the feasibility of native species with little compensation by non-native species; and turnover at mid-elevations as declining feasibility for subalpine species is compensated by uphill expansion of climatic feasibility for submontane species. Edaphic (soil) factors are important; feasibility declines are higher on relatively dry sites than on wetter sites for most species. Our analysis emphasizes that changes in feasibility are species-specific, spatially variable, and influenced by edaphic site factors. By employing the multi-scaled BEC system that currently informs operational reforestation, CCISS facilitates translation of research into actionable guidance for practitioners. Numéro de notice : A2021-226 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2020.118705 Date de publication en ligne : 01/11/2020 En ligne : https://doi.org/10.1016/j.foreco.2020.118705 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97203 [article]

La détermination des habitats naturels par l’inventaire forestier / Ingrid Bonhême (2021)  

Public Titre : La détermination des habitats naturels par l’inventaire forestier : Les objectifs et les concepts utilisés Type de document : Monographie Auteurs : Ingrid Bonhême , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2021 Importance : 58 p. ISBN/ISSN/EAN : 978-2-7585-5172-0 Note générale : ouvrage de vulgarisation appuyé sur des données scientifiques, concernant le projet Suivi temporel des habitats forestiers Langues : Français (fre) Descripteur : [Termes IGN] bioclimatologie [Termes IGN] étage de végétation [Termes IGN] flore locale [Termes IGN] habitat forestier [Termes IGN] humus [Termes IGN] phytoécologie [Termes IGN] phytosociologie [Termes IGN] relief [Termes IGN] sol forestier [Vedettes matières IGN] Ecologie forestière Note de contenu : INTRODUCTION 1-LA NOTION D’HABITAT FORESTIER A L’INVENTAIRE 1-1-Définitions 1-2-La classification des habitats : l’approche phytosociologique 1-3-Le déterminisme des habitats : l’approche phytoécologique 1-4-L’habitat potentiel 2-LES FACTEURS STATIONNELS DE DETERMINATION D’UN HABITAT FORESTIER 2-1-Le mésoclimat 2-2-Le relief et les étages de vegetation 2-3-L’exposition, le confinement, la topographie 2-4-Les formes d’humus 2-5-Le sol 2-6-La flore : les groupes indicateurs 2-7-Résumé des facteurs limitant la sylvigenèse et des localisations topographiques des grands types d'habitats 3-DETERMINER LES HABITATS FORESTIERS : POUR QUI, POURQUOI, COMMENT ? Numéro de notice : 17174 Affiliation des auteurs : IGN (2020- ) Thématique : BIODIVERSITE/FORET Nature : Monographie nature-HAL : OuvrScient DOI : sans En ligne : https://inventaire-forestier.ign.fr/IMG/pdf/clef_determination_habitats_2021.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97844

Climate sensitive single tree growth modeling using a hierarchical Bayes approach and integrated nested Laplace approximations (INLA) for a distributed lag model / Arne Nothdurft in Forest ecology and management, vol 478 ([15/12/2020])  

Public [article]  inForest ecology and management > vol 478 [15/12/2020] . - 14 p. Titre : Climate sensitive single tree growth modeling using a hierarchical Bayes approach and integrated nested Laplace approximations (INLA) for a distributed lag model Type de document : Article/Communication Auteurs : Arne Nothdurft, Auteur Année de publication : 2020 Article en page(s) : 14 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] approche hiérarchique [Termes IGN] Autriche [Termes IGN] bioclimatologie [Termes IGN] croissance des arbres [Termes IGN] dendrochronologie [Termes IGN] données météorologiques [Termes IGN] estimation bayesienne [Termes IGN] Fagus sylvatica [Termes IGN] intégrale de Laplace [Termes IGN] Larix decidua [Termes IGN] modèle de croissance végétale [Termes IGN] modèle de régression [Termes IGN] peuplement mélangé [Termes IGN] Picea abies [Termes IGN] Pinus sylvestris [Termes IGN] Quercus sessiliflora [Termes IGN] série temporelle [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) A novel methodological framework is presented for climate-sensitive modeling of annual radial stem increments using tree-ring width time series. The approach is based on a hierarchical Bayes model together with a distributed time lag model that take into account the effects of a series of monthly temperature and precipitation values, as well as their interactions. By using a set of random walk priors, the hierarchical Bayes model allows both the detrending of the individual time series and the regression modeling to be performed simultaneously in a single model step. The approach was applied to comprehensive tree-ring width data from Austria collected on sample plots arranged in triplets representing different mixture types. Bayesian predictions revealed that European larch (Larix decidua Mill.), Norway spruce (Picea abies (L.) H. Karst.), and Scots pine (Pinus sylvestris L.) show positive climate-related growth trends throughout higher elevation sites in Tyrol, and these trends remain unchanged under a mixed-stand scenario. At the lower Austrian sites, Norway spruce was found to show a severely negative growth trend under both the pure- and mixed-stand scenario. The increment rates of European beech (Fagus sylvatica L.) were found to have a negative climate-related trend in pure stands, and the trend diminished through an admixture of spruce or larch. The trends of European larch and sessile oak (Quercus petraea (Matt.) Liebl.) showed stationary behavior, irrespective of the mixture scenario. Scots pine data showed a positive trend at the lower elevation sites under both the pure- and mixed-stand scenario. These findings indicate that species mixing does not lower the climate-related increment fluctuations of beech, oak, pine, and spruce at lower elevation sites. Numéro de notice : A2020-625 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2020.118497 Date de publication en ligne : 07/09/2020 En ligne : https://doi.org/10.1016/j.foreco.2020.118497 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96025 [article]

An integration of bioclimatic, soil, and topographic indicators for viticulture suitability using multi-criteria evaluation: a case study in the Western slopes of Jabal Al Arab—Syria / Karam Alsafadi in Geocarto international, vol 35 n° 13 ([01/10/2020])  

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Summer temperature affects the ratio of radial and height growth of Scots pine in northern Finland / Hannu Salminen in Annals of Forest Science, Vol 66 n° 8 (December 2009)  

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Has global change induced divergent trends in radial growth of Pinus sylvestris and Pinus halepensis at their bioclimatic limit? The example of the Sainte-Baume forest (south-east France) / Bruno Vila in Annals of Forest Science, Vol 65 n° 7 (October - November 2008)  

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Ten years of fluxes and stand growth in a young beech forest at Hesse, North-eastern France / André Granier in Annals of Forest Science, Vol 65 n° 7 (October - November 2008)  

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Zones de végétation et domaines bioclimatiques du Québec / Ministère des Forêts, de la Faune et des Parcs (Québec, Québec - Canada) (2006)  

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