Invertebrate Drift Dynamics in a Subtropical Blackwater River

Benke, Arthur C.; Hunter, Robert J.; Parrish, Fred K.

doi:10.2307/1467705

Cited by 44 publications

(36 citation statements)

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“…Although community composition did exhibit seasonality, somewhat surprisingly, overall drift densities did not vary greatly among months and were generally low compared to other regions. Seasonal variability in drift density is widely documented (Benke et al 1986, Obi and Comor 1986, Brittain and Eikeland 1988, Ramirez and Pringle 1998, Petrusso and Hayes 2001, Robinson et al 2002, Hay et al 2008. The statistical similarity in overall drift density in this study among months is probably the result of the large amount of intra-month variation among samples.…”

Section: Resultsmentioning

confidence: 99%

Phenological Partitioning among Drifting Insect Genera within Families in a Subtropical, Coastal Plain Stream (Louisiana, USA)

Kaller

Hudson

2010

Journal of Freshwater Ecology

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We investigated invertebrate drift in a subtropical, coastal plain stream in Louisiana, USA. Once monthly, at a single site on Big Brushy Creek, eight three-hour drift samples (24 hours total) were collected using two 250-micron, 0.13-m2 drift nets. We examined the data for seasonal trends in overall drift density by analysis of covariance and taxonomic composition by principal component analysis and multivariate analysis of covariance. We found no statistically significant seasonal differences in overall drift density, although community composition did statistically differ among months. More interestingly, we found that 26 genera (38%) exhibited asynchrony in peak drift timing within families. Although our study was limited in spatial scope, we suggest that these unusual results emphasize the need for additional invertebrate research in this region.

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Section: Resultsmentioning

confidence: 99%

Phenological Partitioning among Drifting Insect Genera within Families in a Subtropical, Coastal Plain Stream (Louisiana, USA)

Kaller

Hudson

2010

Journal of Freshwater Ecology

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“…These findings differ from those reported for other large rivers. In the Satilla River (Georgia, U.S.A.), drift was relatively uniformly distributed throughout the water column (Benke et al 1986). However, in that study top-net water velocities were applied to bottom nets when calculating volumes filtered and this could have affected drift density calculations.…”

Section: Discussionmentioning

confidence: 99%

Invertebrate drift in a large, braided New Zealand river

Sagar¹,

Glova²

1992

Freshwater Biology

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1. The spatio-temporal patterns of drifting macroinvertebrates in a large, braided New Zealand river were determined by sampling with drift nets, seasonally, for 1 year. 2. Drift densities were greatest in autumn, and at night in all seasons except winter. A greater proportion of larger animals drifted at night than during the day in all seasons. Mean annual drift densities were ninety-six animals 100m"'' and 47mg dry weight 3. There were relatively few taxa in the drift, and the mayfly Deleatidium spp. comprised more than 85% of the drifting aquatic invertebrates in all seasons except autumn. Chironomidae and terrestrial forms were the only other groups to occur at densities of more than one animal 100 m"^ in all seasons. 4. Drift density was positively correlated with benthic density, which in tum was adversely affected by floods, particularly during spring and summer.

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“…As with resource pulses though, we have a relatively limited mechanistic understanding of how PHS shapes ecosystems (Kovalenko et al 2012, except see Cardinale et al 2002) including how it influences the movement of organisms through the environment, a key ecological process (Gaines and Bertness 1993, Bowler and Benton 2005, Kuefler et al 2010. For example, PHS may modify drift, or the downstream movement of invertebrates in the water column (Benke et al 1986). Drift is a pervasive feature of lotic ecosystems, and likely influences a variety of ecological processes and patterns including v www.esajournals.org population dynamics (Bond et al 2000, Downes andLancaster 2010), biotic interactions (e. g., Palmer 1995), and energy flow (Bilby 1981, Benke et al 1984, Benke et al 1986).…”

Section: Introductionmentioning

confidence: 99%

“…For example, PHS may modify drift, or the downstream movement of invertebrates in the water column (Benke et al 1986). Drift is a pervasive feature of lotic ecosystems, and likely influences a variety of ecological processes and patterns including v www.esajournals.org population dynamics (Bond et al 2000, Downes andLancaster 2010), biotic interactions (e. g., Palmer 1995), and energy flow (Bilby 1981, Benke et al 1984, Benke et al 1986). Moreover, PHS conceivably interacts with other potential controlling agents, including resource pulses, to modify food web structure and function; yet, studies that explore such interactions are relatively rare (except see Martin et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Linking resource availability and habitat structure to stream organisms: an experimental and observational assessment

et al. 2014

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An experiment and a mark‐recapture field study of juvenile coho salmon (Oncorhynchus kisutch) were conducted to identify controls of key energy flow chains in river food webs. In the small‐scale experiment, we investigated the individual and interactive effects of physical habitat structure (PHS) as small wood and resource availability (tissue of adult Chinook salmon, O. tshawytscha) on nutrients, algae, invertebrates, and fish predators including juvenile coho. In the field, we quantified the effects of natural variation in prey availability (invertebrate drift biomass), PHS (wood), and local fish density on summer growth of juvenile coho across multiple stream reaches. Adding salmon tissue to experimental channels resulted in strong bottom‐up effects on select invertebrates including increased population biomass of chironomids and baetids, the numerically dominant invertebrates, and faster growth of juvenile coho. We link the enhanced growth of coho to chironomid productivity: for instance, adult chironomid flux was 4.3× higher and coho consumption of these animals 3× higher in salmon‐subsidized channels. PHS in experimental channels was associated with reduced algal biomass, potentially in response to increased invertebrate consumption, and invertebrate flux or export. The field study revealed coho growth was negatively related to PHS and total fish density and positively related to Diptera drift biomass; however, the effects of fish density and drift biomass on coho growth were relatively weak. The field study also indicated that prey resource availability and coho growth were associated with differences in canopy cover, with prey biomass and coho growth 2–4× higher in reaches receiving more sunlight. As in the experiment, coho in natural stream reaches predominantly fed on adult chironomids and other Diptera, indicating that these taxa and life‐stages are a key link between the benthic food web and mobile vertebrate predators. Our study showed that bottom‐up processes initiated by salmon subsidies and possibly light flux determined key trophic interactions in the Cedar River food web. Moreover, we speculate that PHS may modify some of these interactions indirectly through its effects on the movement of organisms through the environment.

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Invertebrate Drift Dynamics in a Subtropical Blackwater River

Cited by 44 publications

References 0 publications

Phenological Partitioning among Drifting Insect Genera within Families in a Subtropical, Coastal Plain Stream (Louisiana, USA)

Phenological Partitioning among Drifting Insect Genera within Families in a Subtropical, Coastal Plain Stream (Louisiana, USA)

Invertebrate drift in a large, braided New Zealand river

Linking resource availability and habitat structure to stream organisms: an experimental and observational assessment

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