Тип публикации: статья из журнала

Год издания: 2024

Идентификатор DOI: 10.1111/gcb.17224

Аннотация: <jats:title>Abstract</jats:title><jats:p>Wood density is a fundamental property related to tree biomechanics and hydraulic function while playing a crucial role in assessing vegetation carbon stocks by linking volumetric retrieval and a mass estimate. This study provides a high-resolution map of the global distribution of tree woodПоказать полностьюdensity at the 0.01° (~1 km) spatial resolution, derived from four decision trees machine learning models using a global database of 28,822 tree-level wood density measurements. An ensemble of four top-performing models combined with eight cross-validation strategies shows great consistency, providing wood density patterns with pronounced spatial heterogeneity. The global pattern shows lower wood density values in northern and northwestern Europe, Canadian forest regions and slightly higher values in Siberia forests, western United States, and southern China. In contrast, tropical regions, especially wet tropical areas, exhibit high wood density. Climatic predictors explain 49%–63% of spatial variations, followed by vegetation characteristics (25%–31%) and edaphic properties (11%–16%). Notably, leaf type (evergreen vs. deciduous) and leaf habit type (broadleaved vs. needleleaved) are the most dominant individual features among all selected predictive covariates. Wood density tends to be higher for angiosperm broadleaf trees compared to gymnosperm needleleaf trees, particularly for evergreen species. The distributions of wood density categorized by leaf types and leaf habit types have good agreement with the features observed in wood density measurements. This global map quantifying wood density distribution can help improve accurate predictions of forest carbon stocks, providing deeper insights into ecosystem functioning and carbon cycling such as forest vulnerability to hydraulic and thermal stresses in the context of future climate change.</jats:p>

Журнал: Global Change Biology

Выпуск журнала: Т. 30, № 3

ISSN журнала: 13541013

Издатель: John Wiley &amp; Sons, Incorporated

• Yang Hui (Max Planck Institute for Biogeochemistry Jena Germany)
• Wang Siyuan (Institute of Photogrammetry and Remote Sensing Technische Universität Dresden Dresden Germany)
• Son Rackhun (Department of Environmental Atmospheric Sciences Pukyong National University Busan South Korea)
• Lee Hoontaek (Institute of Photogrammetry and Remote Sensing Technische Universität Dresden Dresden Germany)
• Benson Vitus (ELLIS Unit Jena Jena Germany)
• Zhang Weijie (Max Planck Institute for Biogeochemistry Jena Germany)
• Zhang Yahai (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science Beijing Normal University Beijing China)
• Zhang Yuzhen (Max Planck Institute for Biogeochemistry Jena Germany)
• Kattge Jens (German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany)
• Boenisch Gerhard (Max Planck Institute for Biogeochemistry Jena Germany)
• Schepaschenko Dmitry (International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria)
• Karaszewski Zbigniew (Research Group of Chemical Technology and Environmental Protection Łukasiewicz Research Network Poznań Institute of Technology Center of Sustainable Economy Poznań Poland)
• Stereńczak Krzysztof (Department of Geomatics Forest Research Institute Raszyn Poland)
• Moreno-Martínez Álvaro (Image Processing Laboratory (IPL) Universitat de València València Spain)
• Nabais Cristina (Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences University of Coimbra Coimbra Portugal)
• Birnbaum Philippe (Institut Agronomique néo-Calédonien (IAC) Nouméa New Caledonia)
• Vieilledent Ghislain (AMAP Univ Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier France)
• Weber Ulrich (Max Planck Institute for Biogeochemistry Jena Germany)
• Carvalhais Nuno (Departamento de Ciências e Engenharia do Ambiente, DCEA, Faculdade de Ciências e Tecnologia, FCT Universidade Nova de Lisboa Caparica Portugal)

• Ядро РИНЦ (eLIBRARY.RU)