Spatial scales of interannual recruitment variations of marine, anadromous, and freshwater fish

Abstract

We examine the spatial scale of variability in recruitment for 11 marine, three anadromous, and five freshwater species. Generally the spatial scale of recruitment correlations for marine species is approximately 500 km, compared with less than 50 km for freshwater; anadromous species fall between these two scales. The scale for marine species is comparable with (but less than) that of the largest-scale environmental variables (and is compatible with the idea that large-scale environmental agents influence recruitment). Our results are consistent with the hypothesis that predation is a more important factor in determining recruitment in freshwater than it is in the marine environment.Résumé : Nous avons examiné l'échelle spatiale de la variabilité du recrutement chez 11 espèces marines, trois espèces anadromes et cinq espèces d'eau douce. Généralement, l'échelle spatiale des corrélations de recrutement pour les espèces marines est d'environ 500 km, comparativement à moins de 50 km pour les espèces d'eau douce; pour les espèces anadromes, l'échelle se trouvent entre les deux. L'échelle des espèces marines est comparable (mais inférieure) à celle des variables environnementales de la plus grande échelle (et concorde avec l'idée que des agents environnementaux à grande échelle influent sur le recrutement). Nos résultats concordent avec l'hypothèse que la prédation est un facteur plus important pour la détermination du recrutement en eau douce que dans l'environnement marin. [Traduit par la Rédaction]

Measurements of spatial population synchrony: influence of time series transformations

“…S2b). This model has been widely used in synchrony studies (e.g., Myers et al 1997;Cattadori et al 2000) and its choice here was motivated by the high proportion of time series (>80 %) presenting a significant negative relationship between log(N t+1 /N t ) and N t . Such a Difference between a the scale of synchrony estimated using the raw data and the scales estimated using TSTs, b the synchrony at short distances estimated using raw data and the synchrony estimated using the TSTs, c the relationships between population synchrony and the Euclidean distance estimated using raw data and the relationships estimated using TSTs and d the relationships between population synchrony and temperature synchrony estimated using raw data and the relationships estimated using TSTs (n = 34).…”

Population synchrony of a native fish across three Laurentian Great Lakes: evaluating the effects of dispersal and climate

“…Because these two mechanisms can also interact to inXuence synchrony (Haydon and Steen 1997;Kendall et al 2000), ecologists commonly attempt to determine the relative importance of each by building models (e.g., Ranta et al 1995), designing experiments (e.g., Huitu et al 2005), or even Wnding natural settings (e.g., Grenfell et al 1998) where dispersal can be eliminated from consideration. Among freshwater and marine Wsh populations, most studies have concluded that climate is the primary mechanism underlying synchrony (Myers et al 1997;Grenouillet et al 2001;Tedesco et al 2004;Marjomäki et al 2004;Cheal et al 2007;Phelps et al 2008). In some cases, evidence supporting dispersal has been lacking (Grenouillet et al 2001;Cattanéo et al 2003;Marjomäki et al 2004) and in other cases it was ruled out because diVerent watersheds were sampled (Tedesco et al 2004).…”

“…In some cases, evidence supporting dispersal has been lacking (Grenouillet et al 2001;Cattanéo et al 2003;Marjomäki et al 2004) and in other cases it was ruled out because diVerent watersheds were sampled (Tedesco et al 2004). A meta-analysis of Wsh populations revealed a second generality: the scale of spatial synchrony in marine populations (»500 km) is an order of magnitude greater than in freshwater ones (»50 km; Myers et al 1997). The authors hypothesized that the relatively low synchrony observed in freshwater populations was due to localized biotic factors that overwhelmed the role of climate (Myers et al 1997).…”

“…A meta-analysis of Wsh populations revealed a second generality: the scale of spatial synchrony in marine populations (»500 km) is an order of magnitude greater than in freshwater ones (»50 km; Myers et al 1997). The authors hypothesized that the relatively low synchrony observed in freshwater populations was due to localized biotic factors that overwhelmed the role of climate (Myers et al 1997). Although subsequent studies on freshwater populations have documented spatial synchrony to be as high as 150-300 km, climate has remained the primary explanatory factor (Grenouillet et al 2001;Tedesco et al 2004, Marjomäki et al 2004Phelps et al 2008).…”

Stage-dependent spatial synchrony revealed for fish populations in the Garonne River (SW France)

“…That being so, previous studies have found clear synchrony patterns in population dynamics of fish over short and long distances (Grenouillet et al, 2001;CattanØo et al, 2003;Tedesco et al, 2004). According to Myers et al (1997), the correlation scale for recruitment in marine species is typically 500 km, whereas for freshwater species it is < 50 km, although further studies have shown synchrony in 0+ (Grenouillet et al, 2001;CattanØo et al, 2003) and adults over > 100 km (Tedesco et al, 2004). Our results are therefore interesting because they do not show equivalent levels of synchrony at such a small spatial scale (about 10 km).…”