Sampling Emerging Chironomidae (Diptera) with Submerged Funnel Traps in a New Northern Canadian Reservoir, Southern Indian Lake, Manitoba

1980 ◽  
Vol 37 (6) ◽  
pp. 927-936 ◽  
Author(s):  
David M. Rosenberg ◽  
Allen P. Wiens ◽  
Bohdan Bilyj

We examined sampling characteristics of submerged funnel traps which were used to study emergence of Chironomidae in a large boreal riverine reservoir. Clay, bedrock, and marsh shorelines were sampled at 1.0-, 2.0-, 3.5-, and 4.5-m depths with four replicate traps at each depth. Numbers∙m−2 emerging from the three shorelines were similar but differences among depths were significant. The most common species emerging offshore (3.5 and 4.5 m) differed from those emerging inshore (1.0 and 2.0 m). Species emerging from all three shorelines were similar offshore. Inshore, clay and bedrock shorelines were similar but differed from the marsh shoreline. Twelve traps for each depth and 16 traps for each shoreline usually gave a ± 30% precision of the mean no.∙m−2 emerging. Single traps collected [Formula: see text] the number of species collected by 16 traps. All of the more abundant (≥ 1% of the total numbers caught) species in Southern Indian Lake were caught in two to four traps. A minimum of four traps was required to interpret emergence patterns of the most common species with one emergence peak; 16 for the most common species with two emergence peaks. Discontinuous trapping (48 h∙wk−1) gave similar results to continuous trapping (168 h∙wk−1). Our studies in Southern Indian Lake suggest that an optimal sampling strategy for mesotrophic lakes would be to trap discontinuously and use high numbers of traps.Key words: Chironomidae, sampling (biological), submerged funnel traps, reservoirs (water), trapping time, shorelines, depths, replicates, precision


2018 ◽  
Author(s):  
Guillaume Latombe ◽  
Melodie A. McGeoch ◽  
David A. Nipperess ◽  
Cang Hui

AbstractSpatial variation in compositional diversity, or species turnover, is necessary for capturing the components of heterogeneity that constitute biodiversity. However, no incidence-based metric of pairwise species turnover can calculate all components of diversity partitioning. Zeta (ζ) diversity, the mean number of species shared by any given number of sites or assemblages, captures all diversity components produced by assemblage partitioning. zetadiv is an R package for analysing and measuring compositional change for occurrence data using zeta diversity. Four types of analyses are performed on bird composition data in Australia: (i) decline in zeta diversity; (ii) distance decay; (iii) multi-site generalised dissimilarity modelling; and (iv) hierarchical scaling. Some analyses, such as the zeta decline, are specific to zeta diversity, whereas others, such as distance decay, are commonly applied to beta diversity, and have been adapted using zeta diversity to differentiate the contribution of common and rare species to compositional change.HighlightsAn R package to analyse compositional change using zeta diversity is presented.Zeta diversity is the mean number of species shared by any number of assemblagesZeta diversity captures all diversity components produced by assemblage partitioningAnalyses relate zeta diversity to space, environment and spatial scaleAnalyses differentiate the contribution of rare and common species to biodiversity



2013 ◽  
Vol 45 (1) ◽  
pp. 51-63 ◽  
Author(s):  
Liis MARMOR ◽  
Tiiu TÕRRA ◽  
Lauri SAAG ◽  
Ede LEPPIK ◽  
Tiina RANDLANE

AbstractThe vertical gradient of the community structure of epiphytic lichens in forest canopies was studied in southern Estonian coniferous forests. All lichen species on 15 Norway spruces and 15 Scots pines were recorded; age of trees ≥100 years. Species were sampled in height ranges on entire trees from the bottom to the top. The number of lichen species on pine trunks decreased with height from the ground, whereas the number of species on branches increased. There was no significant vertical change in the number of lichen species on spruce trunks; number of species on spruce branches was highest in mid canopy. The mean number of lichen species on a tree was 41 in spruces and 34 in pines; the mean number of species on the first 2 m was 14 in spruces and 12 in pines. According to the results, about two thirds of a tree's lichen species remain unrecorded if only the first 2 m near the ground are surveyed. Many lichen species were found only higher than 2 m, including several common species (e.g. Buellia griseovirens, Lecanora pulicaris, and Melanohalea exasperatula), but also some locally rather rare (Fellhanera subtilis, Micarea nitschkeana, Rinodina efflorescens) or red-listed ones (Evernia mesomorpha, Usnea barbata, U. fulvoreagens, U. substerilis, U. wasmuthii) and one new species for Estonia, Lecanora farinaria. There were also some species, such as Chaenotheca stemonea, Cladonia cenotea and C. norvegica, that were restricted to the lowest 2 m. The results indicate that canopy lichens form a significant part of lichen diversity in coniferous forests, and could add valuable information when estimating forest lichen diversity for conservation and other purposes.



2021 ◽  
Vol 37 (3) ◽  
pp. 655-671
Author(s):  
Paolo Righi ◽  
Piero Demetrio Falorsi ◽  
Stefano Daddi ◽  
Epifania Fiorello ◽  
Pierpaolo Massoli ◽  
...  

Abstract For the first time in 2018 the Italian Institute of Statistics (Istat) implemented the annual Permanent Population Census which relies on the Population Base Register (PBR) and the Population Coverage Survey (PCS). This article provides a general overview of the PCS sampling design, which makes use of the PBR to correct population counts with the extended dual system estimator (Nirel and Glickman 2009). The sample allocation, proven optimal under a set of precision constraints, is based on preliminary estimates of individual probabilities of over-coverage and under-coverage. It defines the expected sample size in terms of individuals, and it oversamples the sub-populations subject to the risk of under/over coverage. Finally, the article introduces a sample selection method, which to the greatest extent possible satisfies the planned allocation of persons in terms of socio-demographic characteristics. Under acceptable assumptions, the article also shows that the sampling strategy enhances the precision of the estimates.



2013 ◽  
Vol 35 (8) ◽  
pp. e8-e9
Author(s):  
F.A. Castro ◽  
C. Piana ◽  
V.L. Lanchote ◽  
B.P. Simões ◽  
O.E. Della Pasqua


1992 ◽  
Vol 49 (8) ◽  
pp. 1555-1559 ◽  
Author(s):  
Jukka Horppila ◽  
Heikki Peltonen

The objective of this study was to find out the optimal sampling strategy for contemporaneous multistage sampling of age and length structures of trawl catches. Samples were taken from a roach (Rutilus rutilus) stock of Lake Vesijärvi, southern Finland. Two-stage sampling proved to be superior to three-stage sampling (i.e. subsamples from the trawl catches are unnecessary). Assuming that all the age and length groups are equally important, the optimal strategy is to sample 34 fish from each of 46 loads. Compared with the present scheme (500 fish from each of 10 loads), this design cuts down the total variance of the estimated proportions of different age and length groups to about one third. An age–length key was used when estimating the proportions of the age groups. The benefits of the applied age–length key were obvious. The estimates of the proportions of different age groups were more accurate than those obtained with age readings only. Increasing the fraction of age-determined fish increases the costs, diminishes the optimal number of samples, and consequently increases the variance of the estimated proportions of different groups.



1990 ◽  
Vol 6 (5) ◽  
pp. 133-145 ◽  
Author(s):  
A. P. Verhoeff ◽  
J. H. Van Wijnen ◽  
P. Fischer ◽  
B. Brunekreef ◽  
J. S. M. Boleij ◽  
...  

The aim of the first port of this study was to select the optimal technique for the enumeration and identification of viable mould propagules in the indoor air of houses. A comparison was made between the results obtained with six commercially available air sampling devices in combination with four culture media. The optimal technique was defined as the technique with the best precision and the highest yield. The coefficients of variation were high (generally > 20%) for all combinations. Statistical analysis showed that the Slit sampler and the N6-Andersen sampler in combination with DG18 and MEA gave the best precision and the highest yield in terms of CFU/m3 and number of species isolated. In the second part of this study the presence of viable mould propagules in the indoor air of 46 houses in relation to the dampness of these houses was investigated, using the N6-Andersen sampler in combination with DG18. To assess the variability in time, the measurements were repeated after five weeks. Overall, between the two periods no difference was found between the average number of CFU/m3 in the investigated homes. However, the variation between homes was much smaller than the variation within homes. The mean number of CFU/m3 was somewhat higher in “damp” houses than in “dry” houses. However, this difference was not significant. Furthermore, there were no demonstrable differences in the presence of specific mould species in “damp” and “dry” houses.





Author(s):  
Jean Rousset

In this study the selachians were captured monthly on inshore grounds (10–30 m deep) with a beam-trawl over ten years (1975–1984), mainly in the Bay of Douarnenez, the Roads of Brest and the Bertheaume Cove area (west Brittany). Catches were composed of five species, accounting numerically for 6–5% of the mean catch of the trawled fishes, but reached up to 20% in Bertheaume Cove. On account of the adaptability to different bottom substrates Raja clavata is the most common species. Raja microocellata is uncommon except in the Cove of Bertheaume where it represented half of the selachian biomass captured.



Paleobiology ◽  
2016 ◽  
Vol 42 (2) ◽  
pp. 269-288 ◽  
Author(s):  
Michael Foote ◽  
Kathleen A. Ritterbush ◽  
Arnold I. Miller

AbstractWe explore the relationships among the geographic ranges of genera, the ranges and positions of their constituent species, and the number of species they contain, considering variation among coeval genera and changes within genera over time. Measuring range size as the maximal distance, or extent, between occurrences within a taxon, we find that the range of the most widespread species is a good predictor of the range of the genus, and that the number of species is a better predictor still. This analysis is complicated by a forced correlation: the range of a genus must be at least as large as that of each of its constituent species. We therefore focus on a second measure of range, the mean squared distance, or dispersion, of occurrences from the geographic centroid, which, by analogy to the analysis of variance, allows the total dispersion of a genus to be compared to the mean within-species dispersion and the dispersion among species centroids. We find that among-species dispersion is the principal determinant of genus dispersion. Within-species dispersion also plays a major role. The role of species richness is relatively small. Our results are not artifacts of temporal variation in the geographic breadth of sampled data. The relationship between changes in genus dispersion and changes in within- and among-species dispersion shows a symmetry, being similar in cases when the genus range is expanding and when it is contracting. We also show that genera with greater dispersion have greater extinction resistance, but that within- and among-species dispersion are not demonstrable predictors of survival once the dispersion of the genus is accounted for. Thus it is the range of the genus, rather than how it is attained, that is most relevant to its fate. Species richness is also a clear predictor of survival, beyond its effects on geographic range.



Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 1962-1962
Author(s):  
Janel R Long-Boyle ◽  
Shirley Yan ◽  
Christopher C. Dvorak ◽  
Biljana N. Horn ◽  
Morton Jerome Cowan ◽  
...  

Abstract Abstract 1962 Background Fludarabine is a purine analogue used in the preparative regimens of pediatric alloHCT to enhance stem cell engraftment. Administered intravenously as a prodrug, fludarabine (f-ara-AMP) undergoes rapid dephosphorylation in the plasma to the systemically circulating compound, f-ara-a. Despite widespread use, there are no published pharmacokinetic-pharmacodynamic (PK-PD) studies of fludarabine in children undergoing alloHCT. Using an optimal sampling strategy (OSS), we designed a prospective study to evaluate the PK-PD of fludarabine in pediatric alloHCT recipients. We report the year-1 interim PK analysis of this 3-year exposure-response study. Methods Utilizing prior f-ara-a PK data available in adults and D-optimal sampling methods (PFIM software), we designed an OSS for f-ara-a in children. Based on the OSS, the relative standard errors (RSE), representing the precision of estimated PK parameters, were predicted to be less than 20% in a total of 45 children. An interim analysis was planned after year 1 to ensure the sample collection times selected by the OSS were sufficiently informative. Patients were eligible to participate in PK sampling if they were between 0 to 17 years of age, met protocol specific criteria for alloHCT, and would be receiving fludarabine as part of their preparative regimen. All patients underwent PK sampling with dose 1 of fludarabine. Fludarabine was infused per protocol over 30–60 minutes and 1 mL of whole blood was obtained at 2, 4, 8, and 24 h after the start of infusion. PK sampling was repeated following a subsequent dose of fludarabine (dose 2, 3, 4 or 5) at 2 and 24 h. Plasma samples were analyzed by LC-tandem MS and the assay was linear in the range of 5–500 ng/mL. PK model development using f-ara-a concentration-time data was carried out using standard population PK methodologies (NONMEM 7.2 software). Further development of a 2-compartment open model was based on exploratory analysis, diagnostic plots and changes in objective function value (OFV). The addition of allometric scaling, with weight built into the base model scaled to a reference patient having the median weight of the population, resulted in a significant drop in the OFV. No other covariates were tested based on exploratory analysis and plots. The model was parameterized in terms of clearance (CL), volume of distribution-central compartment (Vc), volume of distribution-peripheral compartment (Vp), and inter-compartmental clearance (Q). Residual unexplained variability was modeled as being proportional to the predicted concentrations. Area-under-the-curve (AUC) of f-ara-a was derived from the empirical Bayes estimates of individual CL. Results A total of 94 quantifiable concentrations from 16 subjects (10 male, 6 female) were available for interim PK modeling. Most patients received fludarabine 30–40mg/m2 daily over 3 to 5 days (n=13). In the 3 smallest children (<10kg), fludarabine was dosed at 1.33mg/kg/day for 3 to 4 days. Median age and weight of subjects was 6.5 years (range, 0.3–17) and 23.4kg (6.8-82.3), respectively. Markers for renal function were within normal age limits for all subjects. A 2-compartment model with linear elimination well described the PK of f-ara-a. The population PK estimates for CL, Vc, Vp, Q, and their RSE (%) were 9.0 (6.3%), 30 (8.9%), 34 (6.4%), and 7.7 (11%), respectively. The final model of this interim analysis estimated f-ara-a CL (L/h) = 9.0 * (WT/23.4)0.67. This model predicts f-ara-a CL (%CV) to be lower for children < 10kg (n=3), 3.8 L/h (11.3%) compared to those >10kg, 12.4 L/h (42%). Correspondingly, dose-normalized AUC was predicted to be approximately 2.8 times higher in patients < 10kg. Between-patient variability of CL was estimated to be 23% and the residual variability of concentrations 25%. Conclusion The optimal sampling strategy based on adult prior data allows for accurate estimation of f-ara-a population PK parameters in our study of 16 pediatric alloHCT recipients. These interim results suggest body weight may be used to predict f-ara-a clearance, as well as suggest the need for close evaluation of weight-based dosing to prevent over-exposure in very small children. Over the next 2 years we will continue to enroll children in this PK-PD study to confirm the interim PK results and identify exposure-response relationships to inform optimal dosing of fludarabine in pediatric alloHCT. Disclosures: Off Label Use: Fludarabine (Fludara) has no offical FDA indication for use in children.



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