Community food webs have scale-invariant structure

Briand, Frédéric; Cohen, Joel E.

doi:10.1038/307264a0

Cited by 266 publications

(205 citation statements)

References 5 publications

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“…The proportions of basal to intermediate to top species approximate ratios previously published (Briand & Cohen 1984). However the proportion of basal species is higher than that normally reported, probably reflecting the greater taxonomic effort expended on algal taxa in this study.…”

Section: Comparison Of Maximum and Minimum Webssupporting

confidence: 52%

“…Web size multiplied by connectance (S*C). Hall & Raffaelli (1993) Hall & Raffaelli (1993) Hall & Raffaelli (1993) derived from Warren (1994) Hall & Raffaelli (1993) Hall & Raffaelli (1993) Briand& Cohen (1984) Hall & Raffaelli (1993 Briand& Cohen (1984) Hall & Raffaelli (1993) Briand& Cohen (1984) Hall & Raffaelli (1993 Hall & Raffaelli (1993) Pimm (1982) Cohen etal. (1986) Hall & Raffaelli (1993 Clossetal.…”

Section: Introductionmentioning

confidence: 99%

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Characterising food‐webs in two New Zealand streams

Jaarsma¹,

Boer²,

Townsend

et al. 1998

New Zealand Journal of Marine and Freshwater Research

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The food-web communities of two stony tributaries of the Taieri River in New Zealand were documented. We placed heavy emphasis on algal and macroinvertebrate taxonomy, identifying most taxa to species or morpho-species level. Food-web attributes were derived from symmetrical matrices using an Excel macro. The values of the food-web attributes are generally consistent with generalities that have previously been reported in food-web studies, although some hypothesisied relationships between connectance and food-web size did not hold. The patterns detected were robust to the inclusion or exclusion of species that were identified in gut contents but not in field samples. The attributes strongly reflected the trophic status of the streams. †

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Section: Comparison Of Maximum and Minimum Webssupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Characterising food‐webs in two New Zealand streams

Jaarsma¹,

Boer²,

Townsend

et al. 1998

New Zealand Journal of Marine and Freshwater Research

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“…Analyses of food web data from past decades have revealed certain constant patterns (Cohen, 1977;Briand & Cohen, 1984;Sugihara et al, 1989;Cohen et al, 1990), but doubts have also existed in the patterns on account of the insufficient data and variable methodology (Pimm et al, 1991;Polis, 1991). Neglect of some trophic interactions in a web might have arisen from the limitations of data collection.…”

Section: Introductionmentioning

confidence: 99%

Food web of macroinvertebrate community in a Yangtze shallow lake: trophic basis and pathways

2006

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No detailed food web research on macroinvertebrate community of lacustrine ecosystem was reported in China. The present study is the first attempt on the subject in Lake Biandantang, a macrophytic lake in Hubei Province. Food webs of the macroinvertebrate community were compiled bimonthly from March, 2002 to March, 2003. Dietary information was obtained from gut analysis. Linkage strength was quantified by combining estimates of energy flow (secondary production) with data of gut analysis. The macroinvertebrate community of Lake Biandantang was based heavily on detritus. Quantitative food webs showed the total ingestion ranged from 6930 to 36,340 mg dry mass m )2 bimonthly. The ingestion of macroinvertebrate community was higher in the months with optimum temperature than that in other periods with higher or lower temperature. Through comparison, many patterns in benthic food web of Lake Biandantang are consistent with other detritus-based webs, such as stream webs, but different greatly from those based on autochthonous primary production (e.g. pelagic systems). It suggests that the trophic basis of the web is essential in shaping food web structure.

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“…In particular, studies of food webs provide important insights into how natural ecosystems function (Pascual & Dunne 2005). Although the nonlinear interactions between many species creates challenges of scale, resolution of data and significant computational constraints, the last 10 years have seen significant advances built on the earlier classic studies of Cohen, May, Pimm, Polis, Lawton and Yodzis (May 1974;Cohen 1978;Pimm 1982;Briand & Cohen 1984, 1987Yodzis 1989;Cohen et al 1990;Pimm et al 1991;Yodzis & Innes 1992;Yodzis 1998). These gains stem from advances in computing power and the collation of more comprehensive data from a broader array of empirical food webs.…”

mentioning

confidence: 99%