1. Moving ecological tree-ring big data forwards: Limitations, data integration, and multidisciplinarity.
- Author
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Manzanedo RD, Chin ARO, Ettinger AK, Pederson N, Pradhan K, Guiterman CH, Su J, Baumgarten F, and Hille Ris Lambers J
- Subjects
- Environmental Monitoring methods, Forests, Ecosystem, Ecology, Big Data, Trees, Databases, Factual
- Abstract
In recent years, tree-ring databases have emerged as a remarkable resource for ecological research, allowing us to address ecological questions at unprecedented temporal and spatial scales. However, concerns regarding big tree-ring data limitations and risks have also surfaced, leading to questions about their potential to be representative of long-term forest responses. Here, we highlight three paths of action to improve on tree-ring databases in ecology: 1) Implementing consistent bias analyses in large dendroecological databases and promoting community-driven data to address data limitations, 2) Encouraging the integration of tree-ring data with other ecological datasets, and 3) Promoting theory-driven, mechanistic dendroecological research. These issues are increasingly important for tackling pressing cross-disciplinary research questions. Finally, although we focus here on tree ring databases, these points apply broadly across many aggregative databases in ecology., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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