Partitioning the variation in stream fish assemblages within a spatio-temporal hierarchy

Stewart-Koster, Ben, Kennard, Mark J., Harch, Bronwyn, Sheldon, Fran, Arthington, Angela H., & Pusey, Bradley J. (2007) Partitioning the variation in stream fish assemblages within a spatio-temporal hierarchy. Marine and Freshwater Research, 58(7), pp. 675-686.

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Abstract

This paper describes the relative influence of:

(i) landscape scale environmental and hydrological factors;

(ii) local scale environmental conditions including recent flow history, and;

(iii) spatial effects (proximity of sites to one another)

on the spatial and temporal variation in local freshwater fish assemblages in the Mary River, south-eastern Queensland, Australia. Using canonical correspondence analysis, each of the three sets of variables explained similar amounts of variation in fish assemblages (ranging from 44 to 52%). Variation in fish assemblages was partitioned into eight unique components: pure environmental, pure spatial, pure temporal, spatially structured environmental variation, temporally structured environmental variation, spatially structured temporal variation, the combined spatial/temporal component of environmental variation and unexplained variation. The total variation explained by these components was 65%. The combined spatial/temporal/environmental component explained the largest component (30%) of the total variation in fish assemblages, whereas pure environmental (6%), temporal (9%) and spatial (2%) effects were relatively unimportant. The high degree of intercorrelation between the three different groups of explanatory variables indicates that our understanding of the importance to fish assemblages of hydrological variation (often highlighted as the major structuring force in river systems) is dependent on the environmental context in which this role is examined.

Impact and interest:

25 citations in Scopus
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27 citations in Web of Science®

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ID Code: 72743
Item Type: Journal Article
Refereed: Yes
Additional Information: Cited By (since 1996):17
Export Date: 26 May 2014
Source: Scopus
CODEN: AJMFA
Additional URLs:
Keywords: Canonical correspondence analysis, Flow regime, Habitat, Spatial autocorrelation, Variance partitioning, autocorrelation, canonical analysis, community structure, environmental conditions, environmental gradient, fish, flow pattern, freshwater ecosystem, hydrological regime, spatiotemporal analysis, variance analysis, Australasia, Australia, Mary River
DOI: 10.1071/MF06183
ISSN: 1323-1650
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 11 Jun 2014 23:00
Last Modified: 15 May 2017 04:43

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