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scientifique

Linking structure and species richness to support forest biodiversity monitoring at large scales / Félix Storch in Annals of Forest Science, vol 80 n° 1 (2023)  

Public [article]  inAnnals of Forest Science > vol 80 n° 1 (2023) . - n° 3 Titre : Linking structure and species richness to support forest biodiversity monitoring at large scales Type de document : Article/Communication Auteurs : Félix Storch, Auteur ; Steffen Boch, Auteur ; Martin M. Gossner, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : n° 3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Allemagne [Termes IGN] biodiversité végétale [Termes IGN] botanique systématique [Termes IGN] écosystème forestier [Termes IGN] gestion forestière durable [Termes IGN] inventaire forestier étranger (données) [Termes IGN] peuplement mélangé [Termes IGN] protection de la biodiversité [Termes IGN] structure d'un peuplement forestier [Termes IGN] surveillance de la végétation [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) Key message: Authors have analyzed the possible correlation between measurements/indicators of forest structure and species richness of many taxonomic or functional groups over three regions of Germany. Results show the potential to use structural attributes as a surrogate for species richness of most of the analyzed taxonomic and functional groups. This information can be transferred to large-scale forest inventories to support biodiversity monitoring. Context: We are currently facing a dramatic loss in biodiversity worldwide and this initiated many monitoring programs aiming at documenting further trends. However, monitoring species diversity directly is very resource demanding, in particular in highly diverse forest ecosystems. Aims: We investigated whether variables applied in an index of stand structural diversity, which was developed based on forest attributes assessed in the German National Forest Inventory, can be calibrated against richness of forest-dwelling species within a wide range of taxonomic and functional groups. Methods: We used information on forest structure and species richness that has been comprehensively assessed on 150 forest plots of the German biodiversity exploratories project, comprising a large range of management intensities in three regions. We tested, whether the forest structure index calculated for these forest plots well correlate with the number of species across 29 taxonomic and functional groups, assuming that the structural attributes applied in the index represent their habitat requirements. Results: The strength of correlations between the structural variables applied in the index and number of species within taxonomic or functional groups was highly variable. For some groups such as Aves, Formicidae or vascular plants, structural variables had a high explanatory power for species richness across forest types. Species richness in other taxonomic and functional groups (e.g., soil and root-associated fungi) was not explained by individual structural attributes of the index. Results indicate that some taxonomic and functional groups depend on a high structural diversity, whereas others seem to be insensitive to it or even prefer structurally poor stands. Conclusion: Therefore, combinations of forest stands with different degrees of structural diversity most likely optimize taxonomic diversity at the landscape level. Our results can support biodiversity monitoring through quantification of forest structure in large-scale forest inventories. Changes in structural variables over inventory periods can indicate changes in habitat quality for individual taxonomic groups and thus points towards national forest inventories being an effective tool to detect unintended effects of changes in forest management on biodiversity. Numéro de notice : A2023-144 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1186/s13595-022-01169-1 Date de publication en ligne : 19/01/2023 En ligne : https://doi.org/10.1186/s13595-022-01169-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102720 [article]

Challenging the link between functional and spectral diversity with radiative transfer modeling and data / Javier Pacheco-Labradora in Remote sensing of environment, vol 280 (October 2022)  

Public [article]  inRemote sensing of environment > vol 280 (October 2022) . - n° 113170 Titre : Challenging the link between functional and spectral diversity with radiative transfer modeling and data Type de document : Article/Communication Auteurs : Javier Pacheco-Labradora, Auteur ; Mirco Migliavacca, Auteur ; Xuanlong Ma, Auteur ; Miguel D. Mahecha, Auteur ; Nuno Carvalhais, Auteur ; Ulrich Weber, Auteur ; Raquel Benavides, Auteur ; Olivier Bouriaud , Auteur ; et al., Auteur Année de publication : 2022 Projets : 3-projet - voir note / Article en page(s) : n° 113170 Note générale : bibliographie JPL, MMi, and MMa acknowledge the German Aerospace Center (DLR) project OBEF-Accross2 “The Potential of Earth Observations to Capture Patterns of Biodiversity” (Contract No. 50EE1912, German Aerospace Center). JPL, MMi, AH, CW, MMa, GK, FJB, and UW acknowledge the German Aerospace Center (DLR) for providing DESIS imagery through the Announcement of Opportunity “EBioIDEA: Enhancing Biodiversity Inventories with DESIS Imagery Analysis”. FunDivEUROPE data collection was supported by the European Union Seventh Framework Programme (FP7/2007-2013) (grant agreement number: 265171) and the EU H2020 project Soil4Europe (Bioidversa 2017-2019). The in-situ plant traits data collected over Romanian and Spanish sites were supported by a Marie-Curie Fellowship (DIVERFOR, FP7-PEOPLE-2011-IEF. No. 302445) to R. Benavides. OB acknowledges funding from project 10PFE/2021 Ministry of Research, Innovation and Digitalization within Program 1 - Development of national research and development system, Subprogram 1.2 - Institutional Performance - RDI excellence funding projects. XM was supported by the National Natural Science Foundation of China (42171305), the Director Fund of the International Research Center of Big Data for Sustainable Development Goals (CBAS2022DF006), and the Open Fund of State Key Laboratory of Remote Sensing Science (OFSLRSS202229). We thank Prof. Dr. Michael Scherer-Lorenzen for coordinating the interaction with the FunDivEUROPE network and Dr. Fernando Valladares for coordinating data production in FunDivEUROPE sites in Spain. We thank Yuhan Li for helping collect and process Sentinel-2 data in 2020 for the verification task. ESA's Copernicus Open Access Hub enabled the free use of Sentinel-2 data. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biodiversité végétale [Termes IGN] image hyperspectrale [Termes IGN] image optique [Termes IGN] image Sentinel-MSI [Termes IGN] limite de résolution spectrale [Termes IGN] modèle de transfert radiatif [Termes IGN] variabilité Résumé : (auteur) In a context of accelerated human-induced biodiversity loss, remote sensing (RS) is emerging as a promising tool to map plant biodiversity from space. Proposed approaches often rely on the Spectral Variation Hypothesis (SVH), linking the heterogeneity of terrestrial vegetation to the variability of the spectroradiometric signals. Yet, due to observational limitations, the SVH has been insufficiently tested, remaining unclear which metrics, methods, and sensors could provide the most reliable estimates of plant biodiversity. Here we assessed the potential of RS to infer plant biodiversity using radiative transfer simulations and inversion. We focused specifically on “functional diversity,” which represents the spatial variability in plant functional traits. First, we simulated vegetation communities and evaluated the information content of different functional diversity metrics (FDMs) derived from their optical reflectance factors (R) or the corresponding vegetation “optical traits,” estimated via radiative transfer model inversion. Second, we assessed the effect of the spatial resolution, the spectral characteristics of the sensor, and signal noise on the relationships between FDMs derived from field and remote sensing datasets. Finally, we evaluated the plausibility of the simulations using Sentinel-2 (multispectral, 10 m pixel) and DESIS (hyperspectral, 30 m pixel) imagery acquired over sites of the Functional Significance of Forest Biodiversity in Europe (FunDivEUROPE) network. We demonstrate that functional diversity can be inferred both by reflectance and optical traits. However, not all the FDMs tested were suited for assessing plant functional diversity from RS. Rao's Q index, functional dispersion, and functional richness were the best-performing metrics. Furthermore, we demonstrated that spatial resolution is the most limiting RS feature. In agreement with simulations, Sentinel-2 imagery provided better estimates of plant diversity than DESIS, despite the coarser spectral resolution. However, Sentinel-2 offered inaccurate results at DESIS spatial resolution. Overall, our results identify the strengths and weaknesses of optical RS to monitor plant functional diversity. Future missions and biodiversity products should consider and benefit from the identified potentials and limitations of the SVH. Numéro de notice : A2022-582 Affiliation des auteurs : LIF+Ext (2020- ) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2022.113170 Date de publication en ligne : 18/07/2022 En ligne : https://doi.org/10.1016/j.rse.2022.113170 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101343 [article]

Use of remotely sensed data to estimate tree species diversity as an indicator of biodiversity in Blouberg Nature Reserve, South Africa / Mangana Rampheri in Geocarto international, vol 37 n° 2 ([15/01/2022])  

Public [article]  inGeocarto international > vol 37 n° 2 [15/01/2022] . - pp 526 - 542 Titre : Use of remotely sensed data to estimate tree species diversity as an indicator of biodiversity in Blouberg Nature Reserve, South Africa Type de document : Article/Communication Auteurs : Mangana Rampheri, Auteur ; Timothy Dube, Auteur ; Inos Dhau, Auteur Année de publication : 2022 Article en page(s) : pp 526 - 542 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Afrique du sud (état) [Termes IGN] arbre (flore) [Termes IGN] bande spectrale [Termes IGN] biodiversité végétale [Termes IGN] conservation de la flore [Termes IGN] détection de changement [Termes IGN] espèce végétale [Termes IGN] image Landsat-OLI [Termes IGN] image Landsat-TM [Termes IGN] indice de végétation [Termes IGN] régression [Termes IGN] réserve naturelle Résumé : (auteur) We use remotely sensed data to estimate species diversity in Blouberg Nature Reserve (BNR) in the Limpopo province, South Africa to understand the state of biodiversity since communities’ involvement in conservation initiatives. To achieve this objective, Landsat series data collected before and after community involvement in biodiversity conservation were used in conjunction with selected diversity indices i.e., Shannon-Wiener Index (H’) and Simpson Index (D). Thirty 15 m × 15 m field plots were selected and all trees within each plot were identified, with the help of Botanists. Further, we applied regression analysis to determine the relationship between satellite derived tree species diversity and field observations. The results of the study demonstrated a significant (p  Numéro de notice : A2022-052 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article DOI : 10.1080/10106049.2020.1723717 Date de publication en ligne : 16/04/2020 En ligne : https://doi.org/10.1080/10106049.2020.1723717 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99443 [article]

Forest biodiversity in Europe : From science to policy 13 / Bart Muys (2022)  

Public Titre : Forest biodiversity in Europe : From science to policy 13 Type de document : Rapport Auteurs : Bart Muys, Auteur ; Per Angelstam, Auteur ; Jürgen Bauhus, Auteur ; Laura Bouriaud , Auteur ; et al., Auteur Editeur : Joensuu [Finlande] : European forest institute EFI Année de publication : 2022 Importance : 80 p. ISBN/ISSN/EAN : 978-952-7426-21-0 Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité [Termes IGN] biodiversité végétale [Termes IGN] Europe (géographie politique) [Termes IGN] forêt [Termes IGN] gestion forestière durable [Termes IGN] politique publique [Vedettes matières IGN] Ecologie forestière Résumé : (éditeur) This study focuses on how we can effectively maintain and enhance forest biodiversity in Europe. It looks at what is at stake, the current external and internal threats to forest biodiversity and makes recommendations for how we should respond – both in terms of forest management, and also in terms of the policy landscape and finance. Numéro de notice : 14502 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Rapport DOI : 10.36333/fs13 En ligne : https://doi.org/10.36333/fs13 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101254

Italian National Forest Inventory: Methods and results of the third survey / Patrizia Gasparini (2022)  

Public Titre : Italian National Forest Inventory: Methods and results of the third survey Titre original : Inventario Nazionale delle Foreste e dei serbatoi forestali di carbonio : Metodi e risultati della terza indagine Type de document : Monographie Auteurs : Patrizia Gasparini, Auteur ; Lucio Di Cosmo, Auteur ; Antonio Floris, Auteur ; Davide De Laurentis, Auteur Editeur : Springer Nature Année de publication : 2022 Importance : 576 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-98678-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité végétale [Termes IGN] changement climatique [Termes IGN] défoliation [Termes IGN] diamètre à hauteur de poitrine [Termes IGN] exploitation forestière [Termes IGN] gestion forestière durable [Termes IGN] inventaire forestier étranger (données) [Termes IGN] Italie [Termes IGN] occupation du sol [Termes IGN] placette d'échantillonnage [Termes IGN] politique forestière [Termes IGN] protection des forêts [Termes IGN] puits de carbone [Termes IGN] régénération (sylviculture) [Termes IGN] santé des forêts [Termes IGN] site Natura 2000 [Termes IGN] statistiques [Termes IGN] utilisation du sol [Vedettes matières IGN] Inventaire forestier Résumé : (auteur) This open access book deals with the methods and the results of the third Italian national forest inventory (INFC2015). Arma dei Carabinieri is entrusted with the realisation of the National Forest Inventory and with the decisions about the aims of the survey and data treatment. National forest inventories produce statistically based information on forests over country areas. Such information is used either at subnational or at supranational level in a great number of spheres and processes, included possibility to depict the status of the world forests. Italy conducted its first forest inventory in 1985 and in 2001 a permanent national forest inventory was launched to have periodically updated statistics. Due to the growing concern about the environment and especially the climate change, estimating forests carbon pools was a stated main objective and it was accordingly named Italian National Inventory of Forest and Forest Carbon Pools (INFC). The book begins with a description of the general organisation, the definitions, the methods and the estimation procedures. It proceeds showing the main estimates produced by INFC2015, in tables that are given in the book chapters. The estimates are presented through texts that introduce the subject matter, explain the way the related variables were surveyed and comment on the main outcomes with the help of graphics. The estimates presented include forest area, management and production, biodiversity and protection, forest health, protective and socio-economics functions. Role of forest in the carbon balance was analysed in a specific Chapter, as this is important for its role in the climate change mitigation. The book ends providing an understanding of the current dynamics of Italian forests by comparing the estimates obtained from INFC2005 and INFC2015, the last two national surveys. Note de contenu : 1- The Italian Forest Inventory in brief 2- Definitions and sampling design 3- Land use and land cover photointerpretation 4- Field assessment-survey protocols and data collection 5- Procedures for the estimation of forest inventory quantities 6- Plot level estimation procedures and models 7- Area and characteristics of Italian forests 8- Forest management and productive function 9- Biodiversity and protected wooded lands 10- Forest health 11- Protective function and primary designated management objective 12- Forest carbon stock 13- Changes of Italian forests over time captured by the National Forest Inventories Numéro de notice : 24084 Affiliation des auteurs : non IGN Thématique : FORET Nature : Monographie DOI : 10.1007/978-3-030-98678-0 En ligne : https://doi.org/10.1007/978-3-030-98678-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102410

Variation in downed deadwood density, biomass, and moisture during decomposition in a natural temperate forest / Tomas Přívětivý in Forests, vol 12 n° 10 (October 2021)  

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Apport de la modélisation physique pour la cartographie de la biodiversité végétale en forêts tropicales par télédétection optique / Dav Ebengo Mwampongo (2021)  

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Drivers and implications of dominant and rare tree species in global forests / Iris Hordijk (2021)  

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Soil biodiversity as affected by different thinning intensities in a pinus laricio stand of Calabrian Apennine, South Italy / Adele Muscolo in Forests, vol 12 n° 1 (January 2021)  

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Good things take time : Diversity effects on tree growth shift from negative to positive during stand development in boreal forests / Tommaso Jucker in Journal of ecology, vol 108 n° 6 (November 2020)  

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Incorporating landscape character in cork oak forest expansion in Sardinia: constraint or opportunity? / I.N. Vogiatzakis in Forests, vol 11 n° 5 (May 2020)  

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Prediction of plant diversity in grasslands using Sentinel-1 and -2 satellite image time series / Mathieu Fauvel in Remote sensing of environment, Vol 237 (February 2020)  

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De l’origine des Pins de montagne européens / Renaud Cantegrel in Revue forestière française, vol 71 n° 3 (2019)  

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Partition idéalisée et régionalisée de la composition en espèces ligneuses des forêts françaises / Jean-Daniel Bontemps in Ecoscience, vol 26 n° 4 (2019)  

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Climate change and mixed forests: how do altered survival probabilities impact economically desirable species proportions of Norway spruce and European beech? / Carola Paul in Annals of Forest Science, vol 76 n° 1 (March 2019)  

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