1989
DOI: 10.2307/1938204
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Species‐Area Relationship for Stream Fishes

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Abstract. We sampled riffle and pool habitats of small streams in Minnesota, Illinois, and Panama to examine variation in species-area relationships within and between the res… Show more

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Cited by 359 publications
(309 citation statements)
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“…The observed influence of physical variables on species composition is similar to findings obtained in other studies conducted in temperate (Gorman and Karr 1978;Martin-Smith, 1998;Oberdorff et al, 2001) and tropical streams (Angermeier and Schlosser, 1989;Barrella and Petrere Jr., 1994;Araújo-Lima et al, 1999;Uieda and Barretto, 1999;Mendonça et al, 2005) and is in accordance with the river continuum concept (Vannotte et al, 1980), where species abundance and richness increase with enlargement of the stream channel due to greater heterogeneity or increased habitat availability. The observation of physical variation related to the size of the sampled water bodies, although an expected result, is strongly dependent on the selection of streams for sampling.…”
Section: Discussionsupporting
confidence: 89%
See 1 more Smart Citation
“…The observed influence of physical variables on species composition is similar to findings obtained in other studies conducted in temperate (Gorman and Karr 1978;Martin-Smith, 1998;Oberdorff et al, 2001) and tropical streams (Angermeier and Schlosser, 1989;Barrella and Petrere Jr., 1994;Araújo-Lima et al, 1999;Uieda and Barretto, 1999;Mendonça et al, 2005) and is in accordance with the river continuum concept (Vannotte et al, 1980), where species abundance and richness increase with enlargement of the stream channel due to greater heterogeneity or increased habitat availability. The observation of physical variation related to the size of the sampled water bodies, although an expected result, is strongly dependent on the selection of streams for sampling.…”
Section: Discussionsupporting
confidence: 89%
“…However, fish community structure is also thought to be influenced by biotic and abiotic factors, which operate and interact on various spatial and temporal scales (Angermeier and Winston, 1998;Matthews, 1998). On a regional scale, physical characteristics, such as stream size (Angermeier and Karr, 1984), water velocity (Mendonça et al, 2005), depth (Angermeier and Karr, 1984;Martin-Smith, 1998), and habitat diversity (Gorman and Karr 1978;Angermeier and Schlosser, 1989), or physico-chemical properties, such as electrical conductivity (Taylor et al, 1993;Mérigoux et al, 1998) and pH (Townsend et al, 1983), have also been considered to be factors that govern the occurrence and distribution of fish species.…”
Section: Introductionmentioning
confidence: 99%
“…In BFWs, leaf litter functions both as consumer habitat and food (Wardle, 2002). Litter depth is patchy and as with aquatic systems, deeper litter (i.e., a great volume of leaf litter) as habitat is positively correlated with invertebrate abundance and richness (Angermeier and Schlosser, 1989;Ettema and Wardle, 2002;Shik and Kaspari, 2010). Average litter depth on plots varied from 0.28 to 13.37 cm, which is representative of the natural heterogeneity in tropical forest litter depth (Fauth et al, 1989;N.A.…”
Section: Discussionmentioning
confidence: 99%
“…One major limitation in this approach was determining fish richness for very large river systems, in which baseline information is rare. Species-area relationships are complicated by granularity (spatial resolution) (Palmer and White 1994) and habitat complexity (Angermeier and Schlosser 1989). For each hydrologic index, models are presented in order of hydrologic index only (bottom), hydrologic index and strongest predictor variable (middle), and the best model (top).…”
Section: Ecological Baseline and Flow-ecology Assessmentmentioning
confidence: 99%