Document Type
Article
Publication Date
11-11-2020
Abstract
Motivation
We compiled a global database of long-term riverine fish surveys from 46 regional and national monitoring programmes and from individual academic research efforts, with which numerous basic and applied questions in ecology and global change research can be explored. Such spatially and temporally extensive datasets have been lacking for freshwater systems in comparison to terrestrial ones.
Main types of variables contained
The database includes 11,386 time-series of riverine fish community catch data, including 646,270 species-specific abundance records, together with metadata related to the geographical location and sampling methodology of each time-series.
Spatial location and grain
The database contains 11,072 unique sampling locations (stream reach), spanning 19 countries, five biogeographical realms and 402 hydrographical basins world-wide.
Time period and grain
The database encompasses the period 1951–2019. Each time-series is composed of a minimum of two yearly surveys (mean = 8 years) and represents a minimum time span of 10 years (mean = 19 years).
Major taxa and level of measurement
The database includes 944 species of ray-finned fishes (Class Actinopterygii).
Software format
csv.
Main conclusion
Our collective effort provides the most comprehensive long-term community database of riverine fishes to date. This unique database should interest ecologists who seek to understand the impacts of human activities on riverine fish biodiversity and to model and predict how fish communities will respond to future environmental change. Together, we hope it will promote advances in macroecological research in the freshwater realm.
Recommended Citation
Comte, L, Carvajal-Quintero, J, Tedesco, PA, et al. RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems. Global Ecol Biogeogr. 2020; 30: 38– 50. https://doi.org/10.1111/geb.13210
Publication Title
Global Ecology and Biogeography
DOI
10.1111/geb.13210
Comments
"This is the peer reviewed version of the following article:
Comte, L, Carvajal-Quintero, J, Tedesco, PA, et al. RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems. Global Ecol Biogeogr. 2020; 30: 38– 50. https://doi.org/10.1111/geb.13210which has been published in final form at https://doi.org/10.1111/geb.13210 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.