XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France
Abstract The XyloDensMap dataset aims to provide comprehensive quantification of wood density and its variation across European tree species and their populations. Data were obtained by combining spatially systematic sampling of the French National Forest Inventory (NFI), and an original high-flow m...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04645-1 |
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| author | Henri Cuny Jean-Michel Leban Jean-Christophe Hervé Jean-Daniel Bontemps Baptiste Kerfriden Philippe Jacquin Maxime Lacarin Vincent Dauffy Cédric Duprez Stéphanie Wurpillot |
| author_facet | Henri Cuny Jean-Michel Leban Jean-Christophe Hervé Jean-Daniel Bontemps Baptiste Kerfriden Philippe Jacquin Maxime Lacarin Vincent Dauffy Cédric Duprez Stéphanie Wurpillot |
| author_sort | Henri Cuny |
| collection | DOAJ |
| description | Abstract The XyloDensMap dataset aims to provide comprehensive quantification of wood density and its variation across European tree species and their populations. Data were obtained by combining spatially systematic sampling of the French National Forest Inventory (NFI), and an original high-flow method of wood density measurement by X-ray Computed Tomography. Wood density was measured on 110,763 wood cores sampled at breast height over the period 2016–2019 on 20,697 NFI plots evenly distributed across mainland France. The dataset covers 156 European tree species and wide gradients of elevations (from 0 to 2,300 m above sea level), climates (oceanic, continental, mountain and Mediterranean climates) and soil conditions. It encompasses most European forest types, with the exception of boreal forests. The number of wood density measurements is roughly proportional to the abundance of tree species in the forest area sampled. This dataset’s potential extends to the intensive documentation of a major ecological trait, the assessment of the drivers of wood density variation, or the improvement of forest biomass and carbon estimates, and their uncertainty. |
| format | Article |
| id | doaj-art-22ff9a4dd3e8438b8c2e0b528c9d6e5f |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
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| series | Scientific Data |
| spelling | doaj-art-22ff9a4dd3e8438b8c2e0b528c9d6e5f2025-08-20T03:05:56ZengNature PortfolioScientific Data2052-44632025-03-0112111310.1038/s41597-025-04645-1XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in FranceHenri Cuny0Jean-Michel Leban1Jean-Christophe Hervé2Jean-Daniel Bontemps3Baptiste Kerfriden4Philippe Jacquin5Maxime Lacarin6Vincent Dauffy7Cédric Duprez8Stéphanie Wurpillot9IGN, Service de l’Information ForestièreINRAE, BEFENSG, IGN, Laboratoire d’Inventaire ForestierENSG, IGN, Laboratoire d’Inventaire ForestierINRAE, BEFUniversité de Lorraine, AgroParisTech, INRAE, SILVAINRAE, BEFIGN, Service de l’Information ForestièreIGN, Service de l’Information ForestièreIGN, Service de l’Information ForestièreAbstract The XyloDensMap dataset aims to provide comprehensive quantification of wood density and its variation across European tree species and their populations. Data were obtained by combining spatially systematic sampling of the French National Forest Inventory (NFI), and an original high-flow method of wood density measurement by X-ray Computed Tomography. Wood density was measured on 110,763 wood cores sampled at breast height over the period 2016–2019 on 20,697 NFI plots evenly distributed across mainland France. The dataset covers 156 European tree species and wide gradients of elevations (from 0 to 2,300 m above sea level), climates (oceanic, continental, mountain and Mediterranean climates) and soil conditions. It encompasses most European forest types, with the exception of boreal forests. The number of wood density measurements is roughly proportional to the abundance of tree species in the forest area sampled. This dataset’s potential extends to the intensive documentation of a major ecological trait, the assessment of the drivers of wood density variation, or the improvement of forest biomass and carbon estimates, and their uncertainty.https://doi.org/10.1038/s41597-025-04645-1 |
| spellingShingle | Henri Cuny Jean-Michel Leban Jean-Christophe Hervé Jean-Daniel Bontemps Baptiste Kerfriden Philippe Jacquin Maxime Lacarin Vincent Dauffy Cédric Duprez Stéphanie Wurpillot XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France Scientific Data |
| title | XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France |
| title_full | XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France |
| title_fullStr | XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France |
| title_full_unstemmed | XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France |
| title_short | XyloDensMap: a georeferenced dataset for the wood density of 110,000 trees from 156 European species in France |
| title_sort | xylodensmap a georeferenced dataset for the wood density of 110 000 trees from 156 european species in france |
| url | https://doi.org/10.1038/s41597-025-04645-1 |
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