Moving ecological tree-ring big data forwards: Limitations, data integration, and multidisciplinarity

Manzanedo, Rubén D.; Chin, Alana R.O.; Ettinger, Ailene K.; Pederson, Neil; Pradhan, Kavya; Guiterman, Christopher H.; Su, Jiajia; Baumgarten, Frederik; Hille Ris Lambers, Janneke

doi:10.1016/j.scitotenv.2024.177244

i

Moving ecological tree-ring big data forwards: Limitations, data integration, and multidisciplinarity

2024
By Manzanedo, Rubén D. ; Chin, Alana R.O. ; Ettinger, Ailene K. ; ...

Details

Journal Title:

Science of The Total Environment
Personal Author:

Manzanedo, Rubén D. ; Chin, Alana R.O. ; Ettinger, Ailene K. ; Pederson, Neil ; Pradhan, Kavya ; Guiterman, Christopher H. ; Su, Jiajia ; Baumgarten, Frederik ; Hille Ris Lambers, Janneke
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; NCEI (National Centers for Environmental Information)
Description:

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.
Source:

Science of The Total Environment, 955, 177244
DOI:

https://doi.org/10.1016/j.scitotenv.2024.177244
ISSN:

0048-9697
Format:

pdf
Publisher:

Elsevier BV
Document Type:

Journal Article
Rights Information:

Accepted Manuscript
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:bd514a4e165081a211b7c4472c820462fbec8b8d7e113f1caf60d82927ef4c081da44dd0db12fd77a99241ad6dafc63fb4e77ae26767c28a23d10f991c2da58b
Download URL:

https://repository.library.noaa.gov/view/noaa/71373/noaa_71373_DS1.pdf
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[PDF - 705.62 KB ]

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