Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/117494| Title: | FreshLanDiv : a global database of freshwater biodiversity across different land uses |
| Author(s): | Shen, Minghua Klink, Roel Sagouis, Alban [und viele weitere] |
| Issue Date: | 2024 |
| Type: | Article |
| Language: | English |
| Abstract: | Motivation: Freshwater ecosystems have been heavily impacted by land-use changes, but data syntheses on these impacts are still limited. Here, we compiled a global database encompassing 241 studies with species abundance data (from multiple biological groups and geographic locations) across sites with different land-use categories. This compilation will be useful for addressing questions regarding land-use change and its impact on freshwater biodiversity. Main Types of Variables Contained: The database includes metadata of each study, sites location, sample methods, sample time, land-use category and abundance of each taxon. Spatial Location and Grain: The database contains data from across the globe, with 85% of the sites having well-defined geographical coordinates. Major Taxa and Level of Measurement: The database covers all major freshwater biological groups including algae, macrophytes, zooplankton, macroinvertebrates, fish and amphibians. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/119453 http://dx.doi.org/10.25673/117494 |
| Open Access: | Open access publication |
| License: | (CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0 |
| Journal Title: | Global ecology and biogeography |
| Publisher: | Wiley-Blackwell |
| Publisher Place: | Oxford [u.a.] |
| Volume: | 33 |
| Issue: | 12 |
| Original Publication: | 10.1111/geb.13917 |
| Page Start: | 1 |
| Page End: | 9 |
| Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Global Ecology and Biogeography - 2024 - Shen - FreshLanDiv A Global Database of Freshwater Biodiversity Across Different.pdf | 1.29 MB | Adobe PDF | ![]() View/Open |
Open access publication
