1990
DOI: 10.1139/f90-107
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Predictors of Relative Fish Biomass in Lakes and Reservoirs of Argentina

Abstract: Relationships between total fish biomass and chlorophyll, nutrient levels, and morphometric and climatic factors are shown for a set of 106 Argentinian lakes and reservoirs. The total data base is highly heterogeneous. Relative fish biomass (CPUE) was estimated from gill net catches. A data screening process was applied to the environmental data base to homogenize it. Nutrient, total organic matter content, and mean depth were most important in explaining relative fish biomass variability between lakes and res… Show more

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Cited by 42 publications
(31 citation statements)
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“…Attempts to predict fish assemblages and fishery yields in inland waters have considered variables related to site productivity, area and depth (Hanson & Legget, 1982;Eadie & Keast, 1984;Downing et al, 1990;Quiros, 1990). In Neotropical freshwaters, the prediction has challenged scientists for decades, and no obvious solution has been proposed (Gomes & Miranda, 2001).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Attempts to predict fish assemblages and fishery yields in inland waters have considered variables related to site productivity, area and depth (Hanson & Legget, 1982;Eadie & Keast, 1984;Downing et al, 1990;Quiros, 1990). In Neotropical freshwaters, the prediction has challenged scientists for decades, and no obvious solution has been proposed (Gomes & Miranda, 2001).…”
Section: Discussionmentioning
confidence: 99%
“…Variables such as primary productivity, resource availability, nutrients, lake area and depth (Hanson & Legget, 1982;Eadie & Keast, 1984;Downing et al, 1990;Quiros, 1990) have been used to predict fish abundance, biomass and richness at large spatial extents (sensu Wiens, 1989), in temperate/sub-tropical reservoirs and lakes. Attempts to predict fish assemblages in Neotropical reservoirs, however, have produced less-successful results (Gomes & Miranda, 2001;Gomes et al, 2002;Piana et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…Jones & Hoyer (1982) and Scarborough & Peters (1993) used fish yield to anglers based on standardised sampling programs while Hanson & Leggett (1982) used long-term yield to commercial fishermen as measures of abundance. Others (Kautz 1980;Yurk & Ney 1989;Downing et al 1990;Bachmann et al 1996) used standing crops (in three of the four datasets based on rotenone sampling) while Jeppesen et al (1997) and Quiros (1990) present catch per unit effort based on multipanel gillnetting. Data available only from figures were scanned and digitised using WinDIG software (v2.5; http://www.unige.ch/ sciences/chifi/cpb/windig.html).…”
Section: Methodsmentioning
confidence: 99%
“…Given that fish learn from the behavior and chemical cues of other fishes (Brown et al, 2003;Webster et al, 2008), the surface feeding and spatial use typical of rainbow trout farm escapees (Chittenden et al, 2011;Skilbrei, 2012;Patterson and Blanchfield, 2013) may influence the behavior of conspecifics, particularly those naïve fishes reaching the reservoir after birth in tributaries. In oligotrophic environments like those in Patagonia, where wild fish biomass is low (Quirós, 1990), the effect of the massive and sustained input of farm escapees on wild fish behavior is likely to be important, favoring a surface restricted distribution.…”
Section: Discussionmentioning
confidence: 99%