2006
DOI: 10.1007/s10661-006-5253-5
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Spatial Scale of Autocorrelation of Assemblages of Benthic Invertebrates in Two Upland Rivers in South-Eastern Australia and Its Implications for Biomonitoring and Impact Assessment in Streams

Abstract: Spatial autocorrelation in ecological systems is a critical issue for monitoring (and a general understanding of ecological dynamics) yet there are very few data available, especially for riverine systems. Here, we report here on assemblage-level autocorrelation in the benthic-invertebrate assemblages of riffles in two adjacent, relatively pristine rivers in south-eastern Victoria, Australia (40-km reaches of the Wellington [surveys in summers of 1996 and 1997] and Wonnangatta Rivers [survey in summer of 1996 … Show more

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Cited by 15 publications
(19 citation statements)
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“…This effect can be related, in part, to the spatial autocorrelation of the spatial units within the sub-basins, as many of the sampled sites represent the longitudinal configuration of rivers, from headwaters to the larger portions of the river. The occurrence of positive spatial autocorrelation can be a result of the effects of biological features, such as dispersal ability, on composition and local abundance pattern of species, as verified in other studies (Lloyde et al, 2005(Lloyde et al, , 2006.…”
Section: Niche and Neutral Componentssupporting
confidence: 68%
“…This effect can be related, in part, to the spatial autocorrelation of the spatial units within the sub-basins, as many of the sampled sites represent the longitudinal configuration of rivers, from headwaters to the larger portions of the river. The occurrence of positive spatial autocorrelation can be a result of the effects of biological features, such as dispersal ability, on composition and local abundance pattern of species, as verified in other studies (Lloyde et al, 2005(Lloyde et al, , 2006.…”
Section: Niche and Neutral Componentssupporting
confidence: 68%
“…Given the ability of the variogram to quantify the spatial variability in fish distribution, empirical models can be developed that incorporate spatial dependence and, in doing so, more accurately represent fish-habitat relationships (Hobert et al 1997; or fish distributions. Among the notable studies that utilize geostatistical approaches in riverine fish and stream network studies include , Ganio et al (2005), Vilizzi et al (2005), Cressie et al (2006), Gresswell et al (2006), Ver Hoef et al (2006, Durance et al (2006), Lloyd et al (2006), and Peterson et al (2006Peterson et al ( , 2007.…”
Section: Introductionmentioning
confidence: 99%
“…1). Sites were distributed along the whole river from the source to its confluence within the River Tiber and are separated by no less than 8 km, according to Lloyd et al (2006). This river could be subdivided into three sections.…”
Section: Study Area and Data Collectionmentioning
confidence: 99%