A numerical analysis of changes in the soft-bottom fauna along a transect across false bay, South Africa

Field, J. G.

doi:10.1016/0022-0981(71)90007-4

Cited by 85 publications

(38 citation statements)

References 36 publications

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“…The first is known by a variety of names (Czekanowski's Index, Bray-Curtis Index, Schoener's Index, Least Common Percentage Index, Index of Affinity or Proportional Similarity; see Boesch, 1977 for a comprehensivc review). Since the term 'Czekanowski's Index' is often used in marine studies (Field a n d McFarlane, 1968;Day et al, 1971;Field, 1971;Santos and Simon, 1974;Dauer and Simon, 1975;Santos and Bloom, 1980) and should b e distinguished from the qualitative (presence/absence) form of the expression (sometimes called Dice's Coefficient), it will b e referred to here a s 'Czekanowski's Quantitative Index'. The other indices were Horn's Information Theory Index (Horn, 1966), Canberra Metric (Lance and Williams, 1967) and Morlsita's Index as modified by Horn (Horn, 1966); see Boesch (1977) for a comprehensive review of these indices and a general literature review.…”

Section: Methodsmentioning

confidence: 99%

Similarity Indices in Community Studies: Potential Pitfalls

Bloom¹

1981

Mar. Ecol. Prog. Ser.

228

122

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Four common similarity indices used in multivariate descriptive techniques, such as classifications and trellis diagrams, are compared over a range of overlap from 100 to 10 % to a theoretical standard. Only the Bray-Curtis Index (also known as Czekanowski's Quantitative Index, Proportional Similarity and a variety of other names) was found to reflect accurately true similarity. The other indices (Canberra Metric, Morisita's and Horn's Information Theory) diverge greatly from one another and from the theoretical standard.

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Section: Methodsmentioning

confidence: 99%

Similarity Indices in Community Studies: Potential Pitfalls

Bloom¹

1981

Mar. Ecol. Prog. Ser.

228

122

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“…All appeared to have been reliably recorded throughout the survey and were represented by a total of at least 10 individuals, colonies, or 'clumps' (Table 1). The rationale for eliminating rare species in numerical classifications has been discussed by Field (1971) and Day el al. (1971).…”

Section: Data Selection and Analysismentioning

confidence: 99%

Epibenthic macrofauna off southeastern New Zealand and mid‐shelf bryozoan dominance

Probert

Batham²,

Wilson

1979

New Zealand Journal of Marine and Freshwater Research

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“…The changes in bivalve assemblages of the southwestern Beaufort Sea are trends rather than the sharp species zonations reported by Field (1971), Mass6 (1972, and Oliver et al (1980) for shallow coastal regions. In these latter studies the environmental gradient included the transitional zone between the turbulent surf and the less energetic continental shelf beyond reach of average surface waves.…”

Section: Density and Species Richnessmentioning

confidence: 67%

“…Wave-generated bottom turbulence has been deduced as an explanation for patterns of distribution and abundance in the innermost shelf environment for megabenthos (Davis and VanBlaricom, 1978), macrobenthos (Day et al, 1971;Field, 1971;Christie, 1976;Rees et al, 1976;McCall, 1977;Oliver et al, 1980), and meiobenthos (Hogue, 1982). The data of Oliver et al (1980) suggest that sediment instability is caused by wave turbulence off northern California.…”

Section: Density and Species Richnessmentioning

confidence: 99%

Distributional ecology of shallow south-western Beaufort Sea (Arctic Ocean) bivalve Mollusca

Carey¹,

Scott²,

Walters³

1984

Mar. Ecol. Prog. Ser.

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Benthic macrofauna was sampled off the northern coast of Alaska to determine whether the shallow-water Arctic sublittoral fauna is uniformly distributed among stations as suggested by MacGinitie (1955), or whether it is distributed in ecological assemblages. During the study 5.000 living individuals of bivalve molluscs were collected of 31 species. Analysis revealed that there are no general patterns of total numerical density, species richness, or species composition from 5 to 25 m depth across the southwestern Beaufort Sea. There was, however, a greater similarity of bivalve fauna1 composition among stations than would be expected by stochastic processes alone. An analysis of feeding types demonstrated that there is a tendency toward functional groupings of suspension and deposit feeders. Sedimentary features (interacting with depth) appear to influence the bivalve fauna: more deposit feeding bivalves are associated with finer sediments at the deeper stations. The relatively high species richness in shallow Arctic waters more closely resembles bivalve assemblages in protected temperate environments than it does those of the open coast. The lack of major disturbance of sediments by waves in the ice-dominated Beaufort Sea appears to be ecologically important.

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A numerical analysis of changes in the soft-bottom fauna along a transect across false bay, South Africa

Cited by 85 publications

References 36 publications

Similarity Indices in Community Studies: Potential Pitfalls

Similarity Indices in Community Studies: Potential Pitfalls

Epibenthic macrofauna off southeastern New Zealand and mid‐shelf bryozoan dominance

Distributional ecology of shallow south-western Beaufort Sea (Arctic Ocean) bivalve Mollusca

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