scholarly journals Non-destructive sampling techniques for the rapid assessment of population parameters in estuarine shore crabs

2010 ◽  
Vol 20 (2) ◽  
pp. 49 ◽  
Author(s):  
G R MacFarlane
Keyword(s):  
Rapid Assessment ◽  
Sampling Techniques ◽  
Population Parameters ◽  
Destructive Sampling ◽  
Shore Crabs ◽  
Non Destructive

Duplex DNA barcoding allows accurate species determination of morphologically similar limpets (Patella spp.) from non-destructive sampling

2016 ◽  
Vol 97 (7) ◽  
pp. 1479-1482 ◽  
Author(s):  
Thomas J. Ashton ◽  
Meriem Kayoueche-Reeve ◽  
Andrew J. Blight ◽  
Jon Moore ◽  
David M. Paterson
Keyword(s):  
Dna Barcoding ◽  
Species Abundance ◽  
Microscopic Analysis ◽  
Cost Effective ◽  
Field Studies ◽  
Similar Species ◽  
Species Determination ◽  
Destructive Sampling ◽  
Species Specific ◽  
Non Destructive

Accurate discrimination of two morphologically similar species of Patella limpets has been facilitated by using qPCR amplification of species-specific mitochondrial genomic regions. Cost-effective and non-destructive sampling is achieved using a mucus swab and simple sample lysis and dilution to create a PCR template. Results show 100% concurrence with dissection and microscopic analysis, and the technique has been employed successfully in field studies. The use of highly sensitive DNA barcoding techniques such as this hold great potential for improving previously challenging field assessments of species abundance.

scholarly journals Recommendation of non-destructive sampling method for density estimation of the Eucalyptus wood

2019 ◽  
pp. 0-0
Author(s):  
Franciane Andrade de Pádua ◽  
João Otávio Poletto Tomeleri ◽  
Mariana Pires Franco ◽  
José Reinaldo Moreira da Silva ◽  
Paulo Fernando Trugilho
Keyword(s):  
Density Estimation ◽  
Sampling Method ◽  
Destructive Sampling ◽  
Eucalyptus Wood ◽  
Non Destructive

SAMPLING SYSTEMS FOR THE BIRCH CASEBEARER (LEPIDOPTERA: COLEOPHORIDAE)

1979 ◽  
Vol 111 (8) ◽  
pp. 875-882
Author(s):  
A. G. Raske ◽  
M. Alvo
Keyword(s):  
Maximum Likelihood ◽  
Sampling Plan ◽  
New Method ◽  
Betula Papyrifera ◽  
White Birch ◽  
Destructive Sampling ◽  
Damage Level ◽  
Sampling Systems ◽  
Non Destructive ◽  
Maximum Likelihood Technique

AbstractSample sizes needed to measure population levels of the birch casebearer, Coleophora fuscedinella Zeller, and its damage to white birch, Betula papyrifera Marsh, were calculated for various degrees of confidence and assurance. Both a non-destructive and a destructive sampling plan are presented and a new method to classify the damage level of a stand. This method uses a maximum likelihood technique to estimate the proportion of trees of various damage classes.

Quantifying tetrodotoxin levels in the California newt using a non-destructive sampling method

Toxicon ◽  
2014 ◽  
Vol 80 ◽  
pp. 87-93 ◽  
Author(s):  
Gary M. Bucciarelli ◽  
Amy Li ◽  
Lee B. Kats ◽  
David B. Green
Keyword(s):  
Sampling Method ◽  
Destructive Sampling ◽  
Non Destructive

Estimation of gelatin content in historical papers using NIR spectroscopy

2011 ◽  
Author(s):  
M Ormsby ◽  
T Barrett ◽  
J. B. Lang ◽  
J. Mazurek ◽  
M. Schilling
Keyword(s):  
Gas Chromatography ◽  
Amino Acid ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Destructive Sampling ◽  
Percentage Points ◽  
Gelatin Concentration ◽  
The Difference ◽  
Gas Chromatography Mass Spectroscopy ◽  
Non Destructive

<p>Gelatin sizing was a key ingredient during the handpapermaking era. The gelatin concentration in historical papers has never been well documented, however, because measuring the gelatin content required destructive sampling. In this project we developed a non-destructive method using near infrared (NIR) spectroscopy. Gelatin concentrations of 40 historical papers from the 15<sup>th</sup>-18<sup>th</sup> centuries were determined from amino acid (AA) concentrations by using gas chromatography/mass spectroscopy. These values were combined with NIR spectra from the same papers to generate a model for predicting concentrations of unknowns. If a NIR measurement predicted a gelatin concentration in the range 0-6 percent then there is a 95% probability that the difference between the NIR model value and a destructive AA measurement would be between -1.6 and +1.3 percentage points. For 6-8 percent there is a 95% probability the difference would be between -2.0 and +1.5 percentage points, and for 8-12 percent the difference is between -3.0 and +2.0 percentage points. In a study of 159 specimens from books, loose leaves, and artworks printed from 1460-1791, the means for all papers were quite high in the 15<sup>th</sup> century and dropped an average of 20% every 50 years. Possible explanations for the decline are offered.</p>

scholarly journals Biomass Distribution and Development of Allometric Equations for Non-Destructive Estimation of Carbon Sequestration in Grafted Mango Trees

2016 ◽  
Vol 8 (8) ◽  
pp. 201 ◽  
Author(s):  
A. N. Ganeshamurthy ◽  
V. Ravindra ◽  
R. Venugopalan ◽  
Malarvizhi Mathiazhagan ◽  
R. M. Bhat
Keyword(s):  
Allometric Equations ◽  
Above Ground Biomass ◽  
Expansion Factor ◽  
Destructive Sampling ◽  
R Ratio ◽  
Scaling Parameters ◽  
Non Destructive ◽  
Best Fit ◽  
Very High ◽  
Good Agreement

<p>The general equations available/developed for forest/wild mango trees based on measurement of diameter at breast height (DBH) (cannot be used) are not applicable for mango orchards which are predominantly established with grafted plants. Hence allometric equations were developed with destructive sampling of grafted mango trees. The selected parameters showed that allometric parameters were significantly related with age of the trees. The proportion of roots (22%) in grafted mangos was found to be higher than those reported for tropical forest trees (18%) with a R ratio of 0.291. The biomass expansion factor (BEF) varied with age. Initially the BEF was very high followed by a decreasing phase and finally a steady phase by and large attained stability beyond 20 years. The equations generally fitted the data well, and in most cases more than 50% of the observed variation in biomass was explained by primary branch girth (PBG) × number of primary branches (NPB). All equations were statistically significant (p &lt; 0.05) for both scaling parameters, a and b. Based on the R<sup>2</sup> values the best fit model for estimation of above ground biomass of grafted mango trees is a power model using PBG × NPB as the best dimension: There was a good agreement between the observed and the predicted biomass using this equation.</p>

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