Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/43278
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Environmental factors influencing the regional distribution and local density of a small benthic fish: the stoneloach (Barbatula barbatula) |
Autor: | Santoul, Frédéric; Mengin, Nicolas; Céréghino, Régis; Figuerola, Jordi CSIC ORCID ; Mastrorillo, Sylvain | Palabras clave: | stoneloach density distribution General linear modelling habitat, rivers |
Fecha de publicación: | ago-2005 | Editor: | Springer Nature | Citación: | Hydrobiologia (2005) 544:347–355 | Resumen: | We investigated the relationships between different environmental variables and the spatial distribution patterns of the stoneloach (Barbatula barbatula) at the stream system, the stream site, and the mesohabitat (riffle/pool) scales in south-western France. Stoneloach occurred at 240 sites (out of 554 sampling sites), chiefly close to the source, in areas at low elevation and with weak slopes. Population density at a site was primarily influenced by physical conditions. Stream width was positively related to the probability of presence of stoneloach within the stream system, but negatively related to local density. These results indicate that stoneloaches can occur in a wide range of streams, but they are less abundant in wide rivers, probably because of lower habitat heterogeneity. Slope was negatively correlated to both fish presence at the regional scale and local density, suggesting that stoneloach’s swimming performance were weak under greater erosive forces. These results suggested that the distribution of populations and the density of stoneloach were governed by the suitability of physical habitat. Multi-scale studies of factors influencing a species’ distribution allow to integrate patterns observed at different scales, and enhance our understanding of interactions between animals and their environment. The use of few pertinent variables in successful final models could reduce the effort and cost of data collection for water management applications. | Versión del editor: | http://www.springerlink.com/content/xg6042rg35h84356/fulltext.pdf | URI: | http://hdl.handle.net/10261/43278 | DOI: | 10.1007/s10750-005-1823-8 |
Aparece en las colecciones: | (EBD) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
hydrobiologia.doc | 798,5 kB | Microsoft Word | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
15
checked on 24-mar-2024
WEB OF SCIENCETM
Citations
13
checked on 26-feb-2024
Page view(s)
269
checked on 27-mar-2024
Download(s)
244
checked on 27-mar-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.