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Knowledge and Management of Aquatic Ecosystems
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A long-term monitoring database on fish and crayfish species in French rivers

Authors: Irz, Pascal; VIGNERON, Thibault; POULET, Nicolas; COSSON, Eddy; POINT, Thierry; BAGLINIERE, Erick; PORCHER, Jean-Pierre;

A long-term monitoring database on fish and crayfish species in French rivers

Abstract

The data presented here cover ∼4 decades of electrofishing surveys in mainland France rivers. Despite some changes in field protocols and sampling site locations over time, the ASPE database offers a unique set of 47,869 georeferenced and standardised sampling surveys. Fish individuals are identified to species, measured and weighted. Additional information encompasses habitat features as well as “river health” assessment by two fish-based indices. Though preferentially focused on fishes, the surveys also report crayfish data. Numerous studies have been already published using these data, mainly on the fields of macroecology, community and/or population ecology and bioassessment. However, we believe much more knowledge can be gained from the database in fields such as population dynamics or conservation practices in the context of global change.

Keywords

mainland france, Time series, Long-term monitoring, Population dynamics, SH1-691, Freshwater, population dynamics, Aquaculture. Fisheries. Angling, Macroecology, database, Bioassessment, Electrofishing, FAIR, fish, River, bioassessment, crayfish, long-term monitoring, fair, Crayfish, rivers, Habitat, freshwater habitat, electrofishing, Fish sampling, macroecology, time series

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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6
Top 10%
Average
Top 10%
58
20
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Published in a Diamond OA journal