Species diversity, abundance and body size in rocky-shore Mollusca

Fa, Darren A.; Fa, John E.

doi:10.1093/mollus/68.1.95

Cited by 18 publications

(25 citation statements)

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“…Siemann et al (1996Siemann et al ( , 1999 , where S i is the number of species in size class i, and N i is the number of individuals in that class (X2 geometric size classes). Their work was repeated and broadly confirmed in studies of marine molluscs (littoral Mollusca, Fa & Fa 2002;deep-sea Gastropoda, McClain 2004). Using the N i of Fig.…”

Section: Resultsmentioning

confidence: 81%

Characteristic benthic size spectra: potential sampling artefacts

Bett¹

2013

Mar. Ecol. Prog. Ser.

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Section: Resultsmentioning

confidence: 81%

Characteristic benthic size spectra: potential sampling artefacts

Bett¹

2013

Mar. Ecol. Prog. Ser.

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“…However, the relationship between the number of species and body size in North‐west Atlantic gastropods in this study is right skewed as opposed to the log‐normal relationships reported for terrestrial arthropods (Siemann et al ., 1996, 1999) and coastal gastropods (Fa & Fa, 2002). Here, the number of individuals and species are highest in the third to fifth size classes, similar to tropical molluscs in New Caledonia (Bouchet et al ., 2002), but in contrast to the intermediate and larger size classes (Roy et al ., 2000; Fa & Fa, 2002) reported for some coastal molluscs. The correspondence in modal size class for the number of individuals and species may arise because of the strong correlation between the number of individuals and number of species within a size class.…”

Section: Discussionmentioning

confidence: 99%

“…A nonparametric procedure was used because the arbitrary location and width of classes might influence the results. Previous studies (Siemann et al ., 1996, 1999; Fa & Fa, 2002) have demonstrated that the relationship between the number of species ( S ) and number of individuals ( I ) can be defined by the power function S = cI 0.5 , derived from a broken‐stick model, or S = cI 0.25 from a canonical log‐normal distribution, where c is a constant. Both OLS and RMA regression have been used previously in the literature to characterize the power function.…”

Section: Methodsmentioning

confidence: 99%

“…Exploring how body size influences community structure in terms of species’ abundances and species richness has pervaded the ecological literature. However, few studies have simultaneously documented the association between species richness, abundances, and body size (terrestrial arthropods: Siemann et al ., 1996, 1999; marine gastropods: Fa & Fa, 2002). These findings have significant implications for how we assess global biodiversity.…”

Section: Introductionmentioning

confidence: 99%

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Connecting species richness, abundance and body size in deep‐sea gastropods

McClain¹

2004

Global Ecology and Biogeography

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Aim This paper examines species richness, abundance, and body size in deep-sea gastropods and how they vary over depth, which is a strong correlate of nutrient input. Previous studies have documented the empirical relationships among these properties in terrestrial and coastal ecosystems, but a full understanding of how these patterns arise has yet to be obtained. Examining the relationships among macroecological variables is a logical progression in deep-sea ecology, where patterns of body size, diversity, and abundance have been quantified separately but not linked together.Location 196 -5042 m depth in the western North Atlantic.Method Individuals analysed represent all Vetigastropoda and Caenogastropoda (Class Gastropoda) with intact shells, excluding Ptenoglossa, collected by the Woods Hole Benthic Sampling Program (3424 individuals representing 80 species). Biovolume was measured for every individual separately (i.e. allowing the same species to occupy multiple size classes) and divided into log 2 body size bins. Analyses were conducted for all gastropods together and separated into orders and depth regions (representing different nutrient inputs). A kernel smoothing technique, Kolmogorov-Smirnov test of fit, and OLS and RMA were used to characterize the patterns. ResultsOverall, the relationship between the number of individuals and species is right skewed. There is also a positive linear relationship between the number of individuals and the number of species, which is independent of body size. Variation among these relationships is seen among the three depth regions. At depths inferred to correspond with intermediate nutrient input levels, species are accumulated faster given the number of individuals and shift from a right-skewed to a log-normal distribution.Conclusion A strong link between body size, abundance, and species richness appears to be ubiquitous over a variety of taxa and environments, including the deep sea. However, the nature of these relationships is affected by the productivity regime and scale at which they are examined.

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“…; May ) or on biovolume, which is calculated based on an organism's linear dimensions through a combination of length, width, and height (Siemann et al. , ; Fa and Fa ; McClain ). In addition, studies documenting the trivariate SRA relationship have often focused on assemblages of a given taxonomic group, such as terrestrial arthropods (Morse et al.…”

Section: Introductionmentioning

confidence: 99%

Dynamic relationships between body size, species richness, abundance, and energy use in a shallow marine epibenthic faunal community

Labra

Hernández‐Miranda

Quiñones

2014

Ecology and Evolution

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We study the temporal variation in the empirical relationships among body size (S), species richness (R), and abundance (A) in a shallow marine epibenthic faunal community in Coliumo Bay, Chile. We also extend previous analyses by calculating individual energy use (E) and test whether its bivariate and trivariate relationships with S and R are in agreement with expectations derived from the energetic equivalence rule. Carnivorous and scavenger species representing over 95% of sample abundance and biomass were studied. For each individual, body size (g) was measured and E was estimated following published allometric relationships. Data for each sample were tabulated into exponential body size bins, comparing species-averaged values with individual-based estimates which allow species to potentially occupy multiple size classes. For individual-based data, both the number of individuals and species across body size classes are fit by a Weibull function rather than by a power law scaling. Species richness is also a power law of the number of individuals. Energy use shows a piecewise scaling relationship with body size, with energetic equivalence holding true only for size classes above the modal abundance class. Species-based data showed either weak linear or no significant patterns, likely due to the decrease in the number of data points across body size classes. Hence, for individual-based size spectra, the SRA relationship seems to be general despite seasonal forcing and strong disturbances in Coliumo Bay. The unimodal abundance distribution results in a piecewise energy scaling relationship, with small individuals showing a positive scaling and large individuals showing energetic equivalence. Hence, strict energetic equivalence should not be expected for unimodal abundance distributions. On the other hand, while species-based data do not show unimodal SRA relationships, energy use across body size classes did not show significant trends, supporting energetic equivalence.

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Species diversity, abundance and body size in rocky-shore Mollusca

Cited by 18 publications

References 1 publication

Characteristic benthic size spectra: potential sampling artefacts

Characteristic benthic size spectra: potential sampling artefacts

Connecting species richness, abundance and body size in deep‐sea gastropods

Dynamic relationships between body size, species richness, abundance, and energy use in a shallow marine epibenthic faunal community

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