Biovolume as a tool in biomass determination of Oligochaeta and Chironomidae

1993 ◽  
Vol 29 (1) ◽  
pp. 37-46 ◽  
Author(s):  
HENK SMIT ◽  
ESTI DUDOK HEEL ◽  
SASKIA WIERSMA
Keyword(s):  
Biomass Determination

scholarly journals Effects of Fertilization on Biomass and Macronutrient Content of Eucalyptus urophylla S.T. Blake in Arenized Soil of Pampa Biome

2019 ◽  
pp. 1-10
Author(s):  
Huan Pablo de Souza ◽  
Mauro Valdir Schumacher ◽  
Aline Aparecida Ludvichak ◽  
Dione Richer Momolli ◽  
Claudiney Do Couto Guimarães ◽  
...  
Keyword(s):  
Biomass Accumulation ◽  
Stem Bark ◽  
Total Biomass ◽  
Eucalyptus Urophylla ◽  
Stem Wood ◽  
Randomized Design ◽  
Pampa Biome ◽  
Biomass Determination ◽  
To Receive

The objective of this study was to quantify the biomass and the macronutrient stock in an experiment of fertilization with Eucalyptus urophylla, planted in arenized soil at 12 months-old, in Rio Grande do Sul, Brazil. The experiment had a completely randomized design with five treatments (T1, T2, T3, T4 and T5) with three replications. The treatments T2, T3, T4 and T5, received increasing doses of triple superphosphate. On the other hand, the T1 treatment was the only one to receive natural phosphate in planting. For the determination of the biomass, fifteen trees were felled and separated in the following components: leaves, branches, stem bark, stem wood and roots. Samples of the components were collected and transported to the laboratory for biomass determination and chemical analysis. The total biomass varied between the treatments, with highest biomass accumulation of 6.83 Mg ha-1 occurring in T5. The T1 presented the highest biomass for roots representing 33.4% of the total biomass. The biomass distribution among the different components in the decreasing order was: roots > stem wood > leaves > branches > stem bark, for all the treatments. The treatment with higher doses of fertilizers (T5) presented the highest amount of nutrient accumulation in the total biomass (131.26 kg ha-1). The concentration and accumulation of nutrients presented the following trend K > N > Ca > Mg > P > S. Analyzing the different components of biomass, the highest amounts of nutrients followed the order: leaves > roots > stem wood > branches > stem bark. Fertilization influenced the biomass production of E. urophylla in arenized soil in the Pampa biome, but without significant differences to date (12 months). The leaves had the highest concentration of macronutrients, with the exception of Ca, which was higher in the bark. The K was the element that presented highest accumulation in whole tree. The plantation of eucalyptus with fertilization management may be an alternative for the economic use of arenized soil.

Sample preparation and biomass determination of SRF model mixture using cryogenic milling and the adapted balance method

2014 ◽  
Vol 34 (11) ◽  
pp. 2171-2175 ◽  
Author(s):  
Johannes Schnöller ◽  
Philipp Aschenbrenner ◽  
Manuel Hahn ◽  
Johann Fellner ◽  
Helmut Rechberger
Keyword(s):  
Sample Preparation ◽  
Balance Method ◽  
Model Mixture ◽  
Cryogenic Milling ◽  
Biomass Determination

Improved Method of Activated Sludge Biomass Determination

1994 ◽  
Vol 29 (7) ◽  
pp. 7-13 ◽  
Author(s):  
M. Liebeskind ◽  
M. Dohmann
Keyword(s):  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
Biomass Estimation ◽  
Acid Extraction ◽  
Calibration Data ◽  
Colour Reaction ◽  
Reproducible Method ◽  
Unknown Composition ◽  
Biomass Determination

With the development of kinetic models and new design criteria for activated sludge systems, biomass determination becomes important. Various methods can be used to estimate the amount of biomass. Most of these methods are only applicable to pure culture studies. The activated sludge of wastewater treatment plants contains not only biomass, but also a high content of dead organic and inorganic material of unknown composition. Distinguishing between these sludge constituents is difficult. The best and most reproducible method for biomass estimation is often described as the determination of DNA content. This method includes the acid extraction of DNA, the quantitative determination of deoxyribose sugar by a colour reaction with diphenylamine, the calibration with standard DNA and the mathematical conversion into biomass. This study shows that the conventional method is strongly affected by unknown activated sludge constituents and in particular iron. The interference can be overcome by EDTA treatment. Inconsistencies in published calibration data are overcome.

Galactic orbits of stars

1966 ◽  
Vol 25 ◽  
pp. 93-97
Author(s):  
Richard Woolley
Keyword(s):  
Globular Cluster ◽  
Potential Field ◽  
High Velocity ◽  
Velocity Vector ◽  
Variable Stars ◽  
The Sun ◽  
Proper Motions ◽  
Rr Lyrae ◽  
The Galaxy

It is now possible to determine proper motions of high-velocity objects in such a way as to obtain with some accuracy the velocity vector relevant to the Sun. If a potential field of the Galaxy is assumed, one can compute an actual orbit. A determination of the velocity of the globular clusterωCentauri has recently been completed at Greenwich, and it is found that the orbit is strongly retrograde in the Galaxy. Similar calculations may be made, though with less certainty, in the case of RR Lyrae variable stars.

Distance to SN 1987A and the LMC

1999 ◽  
Vol 190 ◽  
pp. 549-554
Author(s):  
Nino Panagia
Keyword(s):  
Angular Size ◽  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Light Curves ◽  
Distance Modulus ◽  
Absolute Size ◽  
Sn 1987A

Using the new reductions of the IUE light curves by Sonneborn et al. (1997) and an extensive set of HST images of SN 1987A we have repeated and improved Panagia et al. (1991) analysis to obtain a better determination of the distance to the supernova. In this way we have derived an absolute size of the ringRabs= (6.23 ± 0.08) x 1017cm and an angular sizeR″ = 808 ± 17 mas, which give a distance to the supernovad(SN1987A) = 51.4 ± 1.2 kpc and a distance modulusm–M(SN1987A) = 18.55 ± 0.05. Allowing for a displacement of SN 1987A position relative to the LMC center, the distance to the barycenter of the Large Magellanic Cloud is also estimated to bed(LMC) = 52.0±1.3 kpc, which corresponds to a distance modulus ofm–M(LMC) = 18.58±0.05.

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