Literature DB >> 23639150

Reach and catchment-scale characteristics are relatively uninfluential in explaining the occurrence of stream fish species.

M R Wuellner1, R G Bramblett, C S Guy, A V Zale, D R Roberts, J Johnson.   

Abstract

The objectives of this study were (1) to determine whether the presence or absence of prairie fishes can be modelled using habitat and biotic characteristics measured at the reach and catchment scales and (2) to identify which scale (i.e. reach, catchment or a combination of variables measured at both scales) best explains the presence or absence of fishes. Reach and catchment information from 120 sites sampled from 1999 to 2004 were incorporated into tree classifiers for 20 prairie fish species, and multiple criteria were used to evaluate models. Fewer than six models were considered significant when modelling individual fish occurrences at the reach, catchment or combined scale, and only one species was successfully modelled at all three scales. The scarcity of significant models is probably related to the rigorous criteria by which these models were evaluated as well as the prevalence of tolerant, generalist fishes in these stochastic and intermittent streams. No significant differences in the amount of reduced deviance, mean misclassification error rates (MER), and mean improvement in MER metrics was detected among the three scales. Results from this study underscore the importance of continued habitat assessment at smaller scales to further understand prairie-fish occurrences as well as further evaluations of modelling methods to examine habitat relationships for tolerant, ubiquitous species. Incorporation of such suggestions in the future may help provide more accurate models that will allow for better management and conservation of prairie-fish species.
© 2013 The Authors. Journal of Fish Biology © 2013 The Fisheries Society of the British Isles.

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Year:  2013        PMID: 23639150     DOI: 10.1111/jfb.12081

Source DB:  PubMed          Journal:  J Fish Biol        ISSN: 0022-1112            Impact factor:   2.051


  1 in total

1.  Spatial Scaling of Environmental Variables Improves Species-Habitat Models of Fishes in a Small, Sand-Bed Lowland River.

Authors:  Johannes Radinger; Christian Wolter; Jochem Kail
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

  1 in total

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