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RivFishTIME: A global database of fish time‐series to study global change ecology in riverine systems
Global Ecology and Biogeography ( IF 6.3 ) Pub Date : 2020-11-11 , DOI: 10.1111/geb.13210
Lise Comte 1 , Juan Carvajal‐Quintero 2, 3 , Pablo A. Tedesco 2 , Xingli Giam 1 , Ulrich Brose 4, 5 , Tibor Erős 6 , Ana F. Filipe 7, 8 , Marie‐Josée Fortin 9 , Katie Irving 10, 11 , Claire Jacquet 12, 13 , Stefano Larsen 14, 15 , Sapna Sharma 16 , Albert Ruhi 17 , Fernando G. Becker 18 , Lilian Casatti 19 , Giuseppe Castaldelli 20 , Renato B. Dala‐Corte 21 , Stephen R. Davenport 22 , Nathan R. Franssen 23 , Emili García‐Berthou 24 , Anna Gavioli 20 , Keith B. Gido 25 , Luz Jimenez‐Segura 26 , Rafael P. Leitão 27 , Bill McLarney 28 , Jason Meador 28 , Marco Milardi 29 , David B. Moffatt 30 , Thiago V. T. Occhi 31 , Paulo S. Pompeu 32 , David L. Propst 33 , Mark Pyron 34 , Gilberto N. Salvador 35 , Jerome A. Stefferud 36 , Tapio Sutela 37 , Christopher Taylor 38 , Akira Terui 39 , Hirokazu Urabe 40 , Teppo Vehanen 37 , Jean R. S. Vitule 41 , Jaquelini O. Zeni 19, 42 , Julian D. Olden 43
Affiliation  

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.

中文翻译:

RivFishTIME:鱼类时间序列的全球数据库,用于研究河流系统中的全球变化生态

我们从46个地区和国家监控计划以及个人学术研究工作中,收集了长期河川鱼类调查的全球数据库,利用该数据库,可以探索生态学和全球变化研究中的许多基本和应用问题。与陆地系统相比,淡水系统缺乏这样的时空广泛的数据集。
更新日期:2020-12-17
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