RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems
RivFishTIME: A global database of fish time-series to study global change ecology in riverine systems
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DOI：
10.1111/geb.13210
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发表时间：
2020-11-11
影响因子：
6.4
通讯作者：
Olden, Julian D.
中科院分区：
文献类型：
--
作者：
Comte, Lise;Carvajal-Quintero, Juan;Olden, Julian D.
动机我们从46个区域和国家监测方案以及个人学术研究工作中汇编了一个长期江河鱼类调查的全球数据库，通过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，淡水系统缺乏这种在空间和时间上广泛的数据集。该数据库包含的主要变量类型包括11,386个河流鱼类群落渔获量数据的时间序列，包括646,270个物种特定丰度记录，以及与每个时间序列的地理位置和采样方法有关的元数据。空间位置和谷物数据库包含11,072个独特的采样地点(河流范围)，横跨19个国家，5个生物地理领域和世界各地的402个水文流域。每个时间序列至少包括两次年度调查(平均=8年)，代表最短的时间跨度(平均=19年)。主要分类群和测量水平数据库包括944种放射鳍鱼类(Actinopterygii纲)。软件格式csv.主要结论我们的集体努力提供了迄今为止最全面的河流鱼类长期群落数据库。这个独特的数据库应该会引起生态学家的兴趣，他们试图了解人类活动对沿河鱼类生物多样性的影响，并对鱼类群落将如何应对未来的环境变化进行建模和预测。我们希望，这将促进淡水领域宏观生态研究的进展。
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.