Published April 28, 2022
| Version v1
Dataset
Open
Data on global trends and drivers of submerged aquatic vegetation quantities in lakes
Authors/Creators
Description
This dataset describes trends and drivers of submerged aquatic vegetation quantities in lakes. The database was compiled through a literature synthesis and is the object of a published article. The sav_trend_dbstructure.png describes the database structure.
The publication below detail the methodology used to assemble the dataset.
Botrel, M. & R. Maranger. 2023. Global historical trends and drivers of submerged aquatic vegetation quantities in lakes. Global Change Biology. 29, 2493– 2509. https://doi.org/10.1111/gcb.16619
Files
cause.csv
Files
(830.8 kB)
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Additional details
Related works
- Is cited by
- Peer review: 10.1111/gcb.16619 (DOI)