scholarly journals Forgotten fishes: What is the future for small threatened freshwater fish? Population risk assessment for southern pygmy perch, Nannoperca australis

2017 ◽  
Vol 27 (6) ◽  
pp. 1290-1300 ◽  
Author(s):  
Charles R. Todd ◽  
John D. Koehn ◽  
Luke Pearce ◽  
Lauren Dodd ◽  
Paul Humphries ◽  
...  

The Synergist ◽  
1995 ◽  
Vol 6 (10) ◽  
pp. 14
Author(s):  
Denise Marois


GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 43-53
Author(s):  
Eugenia Schmitt

The need to focus on banks funding structure and stress testing in an explicit way arose as a consequence of the crisis of past decades. Liquidity risks usually occur as a consequence of other kinds of risks, hence analysing scenarios in a prospective manner is essential for the assessment if the bank can fulfill its obligations as they come due and if its funding costs are appropriate. The structural liquidity risk and the degree of the liquidity mismatch can be measured based on the liquidity gap analysis, where expected cash-in- and outflows, divided in different time-buckets are depicted. The liquidity gap report (LGR) shows if a liquidity shortcoming appears in the future and how high is the amount a bank would have to pay, if any hedging were not possible. This paper shows how to build a comprehensive LGR which is the base for both, liquidity and wealth risk evaluation. To improve the accuracy of the forecast, the counterbalancing capacity will be incorporated into the LGR. This tool is a methodological basis for quantitative and qualitative risk assessment and stress testing.



Author(s):  
Sam Wenaas Perrin ◽  
Kim Magnus Bærum ◽  
Ingeborg Palm Helland ◽  
Anders Gravbrøt Finstad


2017 ◽  
Vol 81 (2) ◽  
pp. 246-253 ◽  
Author(s):  
Rundong Wang ◽  
Lijun Sun ◽  
Yaling Wang ◽  
Yijia Deng ◽  
Zhijia Fang ◽  
...  

ABSTRACTThe growth and hemolytic activity profiles of two Vibrio parahaemolyticus strains (ATCC 17802 and ATCC 33847) in shrimp, oyster, freshwater fish, pork, chicken, and egg fried rice were investigated, and a prediction system for accurate microbial risk assessment was developed. The two V. parahaemolyticus strains displayed a similar growth and hemolysin production pattern in the foods at 37°C. Growth kinetic parameters showed that V. parahaemolyticus displayed higher maximum specific growth rate and shorter lag time values in shrimp > freshwater fish > egg fried rice> oyster > chicken > pork. Notably, there was a similar number of V. parahaemolyticus in all of these samples at the stationary phase. The hemolytic activity of V. parahaemolyticus in foods increased linearly with time (R2 > 0.97). The rate constant (K) of hemolytic activity was higher in shrimp, oyster, freshwater fish, and egg fried rice than in pork and chicken. Significantly higher hemolytic activity of V. parahaemolyticus was evident in egg fried rice > shrimp > freshwater fish > chicken > oyster > pork. The above-mentioned results indicate that V. parahaemolyticus could grow well regardless of the food type and that contrary to current belief, it displayed a higher hemolytic activity in some nonseafood products (freshwater fish, egg fried rice, and chicken) than in one seafood (oyster). The prediction system consisting of the growth model and hemolysin production algorithm reported here will fill a gap in predictive microbiology and improve significantly the accuracy of microbial risk assessment of V. parahaemolyticus.



1995 ◽  
Vol 52 (7) ◽  
pp. 1499-1508 ◽  
Author(s):  
Charles K. Minns

A data set assembled from published literature supported the hypotheses that (i) home range size increases allometrically with body size in temperate freshwater fishes, and (ii) fish home ranges are larger in lakes than rivers. The allometric model fitted was home range = A∙(body size)B. Home ranges in lakes were 19–23 times larger than those in rivers. Additional analyses showed that membership in different taxonomic groupings of fish, the presence–absence of piscivory, the method of measuring home range, and the latitude position of the water bodies were not significant predictive factors. Home ranges of freshwater fish were smaller than those of terrestrial mammals, birds, and lizards. Home ranges were larger than area per fish values derived by inverting fish population and assemblage density–size relationships from lakes and rivers and territory–size relationships in stream salmonids. The weight exponent (B) of fish home range was lower than values reported for other vertebrates, 0.58 versus a range of 0.96–1.14. Lake–river home range differences were consistent with differences reported in allometric models of freshwater fish density and production.



2018 ◽  
Author(s):  
Bjorn Brechan ◽  
Stein Inge Dale ◽  
Sigbjorn Sangesland






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