Show simple item record Zhao, Shoudong Pederson, Neil D'Orangeville, Loïc HilleRisLambers, Janneke Boose, Emery Penone, Caterina Bauer, Bruce Jiang, Yuan Manzanedo, Rubén D.
dc.coverage.spatial Global
dc.coverage.temporal 1000-2016 AD 2018-12-06T14:10:02Z 2018-12-06T14:10:02Z 2018-12-05
dc.identifier doi:10.5061/dryad.kh0qh06
dc.identifier.citation Zhao S, Pederson N, D'Orangeville L, HilleRisLambers J, Boose E, Penone C, Bauer B, Jiang Y, Manzanedo R (2019) The International Tree-Ring Data Bank (ITRDB) revisited: data availability and global ecological representativity. Journal of Biogeography 46(2): 355-368.
dc.description Aim: The International Tree-Ring Data Bank (ITRDB) is the most comprehensive database of tree growth. To evaluate its usefulness and improve its accessibility to the broad scientific community, we aimed to: i) quantify its biases, ii) assess how well it represents global forests, iii) develop tools to identify priority areas to improve its representativity, and iv) make available the corrected database. Location: Worldwide. Time period: Contributed datasets between 1974 and 2017. Major taxa studied: Trees. Methods: We identified and corrected formatting issues in all individual datasets of the ITRDB. We then calculated the representativity of the ITRDB with respect to species, spatial coverage, climatic regions, elevations, need for data update, climatic limitations on growth, vascular plant diversity, and associated animal diversity. We combined these metrics into a global Priority Sampling Index (PSI) to highlight ways to improve ITRDB representativity. Results: Our refined dataset provides access to a network of >52 million growth data points worldwide. We found, however, that the database is dominated by trees from forests with low diversity, in semi-arid climates, coniferous species, and in western North America. Conifers represented 81% of the ITRDB and even in well sampled areas, broadleaves were poorly represented. Our PSI stressed the need to increase the database diversity in terms of broadleaf species and identified poorly represented regions that require scientific attention. Great gains will be made by increasing research and data sharing in African, Asian, and South American forests. Main conclusions: The extensive data and coverage of the ITRDB shows great promise to address macroecological questions. To achieve this, however, we have to overcome the significant gaps in the representativity of the ITRDB. A strategic and organized group effort is required, and we hope the tools and data provided here can guide the efforts to improve this invaluable database.
dc.relation.haspart doi:10.5061/dryad.kh0qh06/1
dc.relation.haspart doi:10.5061/dryad.kh0qh06/2
dc.relation.isreferencedby doi:10.1111/jbi.13488
dc.subject Dendrochronology
dc.subject Dendroecology
dc.subject Tree Ring Research
dc.subject Meta-analysis
dc.subject Bias Analysis
dc.subject Big Data
dc.subject Data Accessibility
dc.subject ITRDB
dc.subject Tree Growth
dc.title Data from: The International Tree-Ring Data Bank (ITRDB) revisited: data availability and global ecological representativity
dc.type Article
dc.contributor.correspondingAuthor Manzanedo, Rubén D
prism.publicationName Journal of Biogeography
dryad.dansTransferDate 2019-02-22T05:24:08.056+0000
dryad.dansArchiveDate 2019-02-22T07:00:53.274+0000

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Title Appendix S1: Corrected and harmonized dataset
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Description Content: - Cleaned datasets - Conflictive dataset - Duplicated (removed) datasets - Sampling coordinates - Error correction log - .rwl files metadata
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Title ITRDB-Rscript
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Description R code used for analysis and PSI generation
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