Data Provider Contact Details *
* Name Lise Comte
* Email lccomte@ilstu.edu
* Affiliation Illinois State University
* Country United States
Role *
Data_creator true
Data_manager true
Data_owner
Primary_contact true
Research Group *
* Research_group sDiv
Other-specify
Dataset *
* Project_or_workshop_or_thesis_title sYNGEO
* Dataset_title RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems
* Short_abstract RivFishTIME is a database of time series of riverine fish community abundance.
* Keywords species abundance, biodiversity, conservation, freshwater streams and rivers, Actinopterygii, temporal trends
* Data_access_policy Open (CC BY 4.0)
Extensive_description_of_the_dataset Motivation: The database is the result of a global compilation effort of long-term riverine fish surveys from the sYNGEO working group from 46 regional and national monitoring programs as well as individual academic research efforts upon which numerous basic and applied questions in ecology and global change research can be explored. 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 geographic 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, 5 biogeographic realms, and 402 hydrographic basins worldwide. Time period and grain: The database encompasses the period 1951–2019. Each time-series is composed of a minimum of two yearly surveys and represents a minimum time span of 10 years. Major taxa and level of measurement: The database includes 944 species of ray-finned fishes (Class Actinopterygii).
Data_origin Field Survey
Other-specify
Status_of_the_data_collection Completed
Habitat
Terrestrial
Freshwater true
Marine
Taxonomic Scope
Animalia true
Plantae
Fungi
Bacteria
Virus
Microorganism
Temporal Cover
Date of first Record
Year 1951
Month
Day
Date of last Record
Year 2019
Month
Day
Temporal Resolution
Temporal_resolution Year
Other-specify
Spatial Cover
Coverage Global
Locality_names
Country
Additional Information
How_to_cite_dataset Comte, L., Carvajal-Quintero, J, Tedesco, P., Giam, X., Brose, U., Eros, T., Filipe, A.F., Fortin, M.-J., Irving, K., Jacquet, C., Larsen, S., Sharma, S., Ruhi, A., Becker, F.G., Casatti L., Castaldelli, G., Dala-Corte, R.B., Davenport, S.R., Franssen, N.R., García-Berthou, E., Gavioli, A., Gido, K.B., Jimenez-Segura, L., Leitão, R.P., McLarney, B., Meador, J., Milardi, M., Moffatt, D.M., Occhi, T.V.T., Pompeu, P.S., Propst, D.L., Pyron, M., Salvador, G.N., Stefferud, J.A., Sutela, T., Taylor, C., Terui, A., Urabe, H., Vehanen, T., Vitule, J.R.S., Zeni, J.O., Olden, J.D. (2020). DATASET: RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems [Dataset]. iDiv Data Repository. https://doi.org/10.25829/idiv.1873-10-4000
Publications_based_on_this_dataset Comte, L., Carvajal-Quintero, J, Tedesco, P., Giam, X., Brose, U., Eros, T., Filipe, A.F., Fortin, M.-J., Irving, K., Jacquet, C., Larsen, S., Sharma, S., Ruhi, A., Becker, F.G., Casatti L., Castaldelli, G., Dala-Corte, R.B., Davenport, S.R., Franssen, N.R., García-Berthou, E., Gavioli, A., Gido, K.B., Jimenez-Segura, L., Leitão, R.P., McLarney, B., Meador, J., Milardi, M., Moffatt, D.M., Occhi, T.V.T., Pompeu, P.S., Propst, D.L., Pyron, M., Salvador, G.N., Stefferud, J.A., Sutela, T., Taylor, C., Terui, A., Urabe, H., Vehanen, T., Vitule, J.R.S., Zeni, J.O., Olden, J.D. (2020). RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems. Global Ecology and Biogeography.
Projects_that_are_related_to_this_dataset
Comments The RivFishTIME_SourceTable.csv table is intended to provide further information about the different monitoring datasets. However, several datasets have been described in different publications. Because these publications provide complementary information about the datasets (e.g. detailed description of the methods in one and of the sites in the other), more than one publication might be associated with each dataset. Note that the choice of the publications was made at the discretion of the data owners (as listed in the table). Cautionary note: Despite our efforts to select broadly consistently sampled time series, we warn the users that yearly abundance records may not be directly comparable both across and within time series due to variation in the timing and method of sampling. We also note that this database is the result of a compilation involving several individual datasets collected for different purposes and in a variety of environments (both natural and anthropic), and as such may not be suitable to all research questions.