Nonlinear multivariate models of successional change in community structure using the von Bertalanffy curve

Anderson, Marti J.; Millar, Russell B.; Blom, Wilma M.; Diebel, Carol E.

doi:10.1007/s00442-005-0195-0

Cited by 11 publications

(6 citation statements)

References 26 publications

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“…NMDS summarizes relationships between all pairs of species data and represents it in multiple dimensions as distances, so the closer two points are, the more similar they are (e.g., same species composition; Kenkel and Orló ci 1986). The four sampling methods greatly varied in sampling effort; therefore, the HornÐMorisita distance measure was used, which is independent of the size of the sampling unit (Anderson et al 2005). Natural enemy totals for all sampling methods were analyzed with NMDS (metaMDS from the vegan package) for each month and year by using the statistical software R (R Development Core Team 2005).…”

Section: Methodsmentioning

confidence: 99%

Aphidophagous Predators in Iowa Soybean: A Community Comparison across Multiple Years and Sampling Methods

Schmidt¹,

O’Neal²,

Dixon³

2008

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There is increasing evidence that Aphis glycines Matsumara (Hemiptera: Aphididae) populations are negatively impacted by endemic natural enemies within North America. In Iowa, surveys of natural enemies in soybean, Glycine max (L.) Merr., conducted before the arrival of A. glycines revealed a number of species that may contribute to their mortality. We used several sampling methods to determine the diversity of the natural enemy community in Iowa soybean since the arrival of A. glycines. Natural enemies were collected using fieldcounts (in situ sampling), destructive counts, sweep-net sampling, and yellow-sticky cards. When predaceous arthropods were combined across all sampling methods, six orders were identified, including nine families and 13 genera. In comparison with a similar study conducted 26 yr ago, we observed fewer native coccinellids with the most abundant being the exotics Harmonia axyridis (Pallas) and Coccinella septempunctata L. (Coleoptera: Coccinellidae). Combining all foliar-based sampling methods reveals a community of four aphidophagous taxa that account for >94% of the total captured: Toxomerus spp., H. axyridis, Orius insidiosus (Say), and Chrysoperla spp. In both years, destructive counts collected fewer species with more found using field-counts, sweep-net, and yellow-sticky cards. Sweep-net and yellow-sticky cards collected more agile life-stages and species as expected from sampling methods that rely on the insects' activity/density to be effective. Our data suggest absolute methods such as destructive and field-counts may underestimate the contribution of mobile predators onA. glycines mortality.

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Section: Methodsmentioning

confidence: 99%

Aphidophagous Predators in Iowa Soybean: A Community Comparison across Multiple Years and Sampling Methods

Schmidt¹,

O’Neal²,

Dixon³

2008

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“…Importantly, given sufficient quantitative information, it may also be possible to statistically correct for the effects of large predators on observed fish assemblages using BRUV (e.g. Anderson et al 2005 Given that sharks can influence the observed structure of fish assemblages measured using BRUV, our results raise concerns over BRUV monitoring programs, particularly in situations where sharks are likely to systematically vary among treatments. For example, the effect sizes associated with observed differences between fish assemblages inside and outside 'no-take' marine reserves measured using BRUV may be biased by the occurrence of large predatory fishes.…”

Section: Implications For Bruv Samplingmentioning

confidence: 97%

The influence of gummy sharks, Mustelus antarcticus, on observed fish assemblage structure

et al. 2013

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Large predatory fish that alter the behaviour of smaller species may affect visual estimates of abundance by making organisms more or less difficult to observe and quantify. To evaluate the non-consumptive influence of large predators on rocky reef fishes observed with Baited Remote Underwater Video (BRUV), we tested the hypothesis that fish assemblages monitored when large (ca 1.5 m) piscivorous sharks, Mustelus antarcticus, were present differ from those observed when sharks were absent. We did this in two ways using recordings from rocky reefs in Batemans Marine Park, NSW, Australia. First, we examined 6 min of each 30 min tape; 3 min when sharks were present and 3 min when they were absent, in a paired sample design from 17 sites. Second, we compared fish assemblages for complete tapes (30 min) at sites with sharks present compared to sites where they were absent. The diversity and total abundance of fishes was consistently lower in the presence of sharks; we detected significant assemblage-wide change (PERMANOVA, P < 0.05). Importantly, the diversity and total abundance of fishes for complete tapes (30 min) decreased in the presence of sharks by 18 % and 36 %, respectively, underscoring the likelihood that sharks influence observed fish assemblages. Individual species responses were variable and while the abundance of many fish species decreased in response to sharks, others increased 6-fold. Overall, these results highlight the need to consider systematic differences in the abundance of large predators to avoid biases when testing hypotheses about fish assemblages using non-destructive visual methodologies.

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“…2004). Explicit models of changes in community structure with holdfast volume, including species accumulation curves, are given elsewhere (Anderson et al. 2005a,b).…”

Section: Ecological Examplesmentioning

confidence: 99%

Multivariate dispersion as a measure of beta diversity

2006

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Beta diversity can be defined as the variability in species composition among sampling units for a given area. We propose that it can be measured as the average dissimilarity from individual observation units to their group centroid in multivariate space, using an appropriate dissimilarity measure. Differences in beta diversity among different areas or groups of samples can be tested using this approach. The choice of transformation and dissimilarity measure has important consequences for interpreting results. For kelp holdfast assemblages from New Zealand, variation in species composition was greater in smaller holdfasts, while variation in relative abundances was greater in larger holdasts. Variation in community structure of Norwegian continental shelf macrobenthic fauna increased with increases in environmental heterogeneity, regardless of the measure used. We propose a new dissimilarity measure which allows the relative weight placed on changes in composition vs. abundance to be specified explicitly.

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Nonlinear multivariate models of successional change in community structure using the von Bertalanffy curve

Cited by 11 publications

References 26 publications

Aphidophagous Predators in Iowa Soybean: A Community Comparison across Multiple Years and Sampling Methods

Aphidophagous Predators in Iowa Soybean: A Community Comparison across Multiple Years and Sampling Methods

The influence of gummy sharks, Mustelus antarcticus, on observed fish assemblage structure

Multivariate dispersion as a measure of beta diversity

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