scholarly journals Vector of Trophic Resource Partitioning in the Variability of Individuals of the Generalized form of the Large African Barbs of the Barbus (= Labeobarbus) Intermedius Complex, Ethiopia, Tana, Langano and Awasa Lakes

2021 ◽  
Vol 61 (4) ◽  
pp. 616-624
Author(s):  
A. N. Mironovsky
Keyword(s):  
Data Analysis ◽  
Resource Partitioning ◽  
Specific Weight ◽  
Original Method ◽  
Water Bodies ◽  
Great Similarity ◽  
Evolutionary Potential ◽  
Lake Tana ◽  
Trophic Resource

Abstract Analysis of the diversification of barbs of the generalized form of the Barbus (= Labeobarbus) intermedius complex in the monomorphic populations of Langano and Awasa lakes and in the polymorphic population of Lake Tana makes it possible to reveal parameters of the variability that is directed to trophic resource partitioning. The great similarity of the parameters revealed in the three studied water bodies shows that in monomorphic populations the structure of variability directed to trophic resource partitioning is identical to that in the polymorphic population. The concept of “vector of trophic resource partitioning” is introduced. In the polymorphic population, this vector makes the main contribution to the diversification of individuals, while its importance is secondary in monomorphic populations. It is concluded that the different evolutionary potential of polymorphic and monomorphic populations is determined by the specific weight of diversification caused by the vector of trophic resource partitioning. The original method of data analysis used in the study may be promising for studying similar situations in other systematic groups.

scholarly journals Modeling high-throughput applications for in situ analytics

2019 ◽  
Vol 33 (6) ◽  
pp. 1185-1200
Author(s):  
Guillaume Aupy ◽  
Brice Goglin ◽  
Valentin Honoré ◽  
Bruno Raffin
Keyword(s):  
Data Analysis ◽  
System Performance ◽  
Resource Partitioning ◽  
In Situ Analysis ◽  
Input Output ◽  
Parallel File System ◽  
Scheduling Policies ◽  
Memory Constraints ◽  
New Strategies

With the goal of performing exascale computing, the importance of input/output (I/O) management becomes more and more critical to maintain system performance. While the computing capacities of machines are getting higher, the I/O capabilities of systems do not increase as fast. We are able to generate more data but unable to manage them efficiently due to variability of I/O performance. Limiting the requests to the parallel file system (PFS) becomes necessary. To address this issue, new strategies are being developed such as online in situ analysis. The idea is to overcome the limitations of basic postmortem data analysis where the data have to be stored on PFS first and processed later. There are several software solutions that allow users to specifically dedicate nodes for analysis of data and distribute the computation tasks over different sets of nodes. Thus far, they rely on a manual resource partitioning and allocation by the user of tasks (simulations, analysis). In this work, we propose a memory-constraint modelization for in situ analysis. We use this model to provide different scheduling policies to determine both the number of resources that should be dedicated to analysis functions and that schedule efficiently these functions. We evaluate them and show the importance of considering memory constraints in the model. Finally, we discuss the different challenges that have to be addressed to build automatic tools for in situ analytics.

Food habits and trophic resource partitioning among three mormyrid fishes from man-made Lake Ayame, Ivory Coast

2006 ◽  
Vol 41 (2) ◽  
pp. 266-274
Author(s):  
E. P. Kouamélan ◽  
T. Koné ◽  
V. N’Douba ◽  
F. Ollevier
Keyword(s):  
Resource Partitioning ◽  
Ivory Coast ◽  
Food Habits ◽  
Trophic Resource ◽  
Mormyrid Fishes

Delimiting sub-areas in water bodies using multivariate data analysis on the example of Lake Balaton (W Hungary)

2012 ◽  
Vol 110 ◽  
pp. 151-158 ◽  
Author(s):  
József Kovács ◽  
Mária Nagy ◽  
Brigitta Czauner ◽  
Ilona Székely Kovács ◽  
Andrea K. Borsodi ◽  
...  
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Water Bodies ◽  
Lake Balaton

scholarly journals Unexpected Diversity of Feeding Modes among Chisel-Mouthed Ethiopian Labeobarbus (Cyprinidae)

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2345
Author(s):  
Boris A. Levin ◽  
Aleksandra S. Komarova ◽  
Oksana L. Rozanova ◽  
Alexander S. Golubtsov
Keyword(s):  
Adaptive Radiation ◽  
Resource Partitioning ◽  
Piscivorous Fish ◽  
Evolutionary Diversification ◽  
Feeding Modes ◽  
Significant Difference ◽  
Trophic Resource ◽  
C And N ◽  
Using Data ◽  
Protein Rich

Trophic resource partitioning is one of the main drivers of adaptive radiation. The evolutionary diversification of large African barbs, the genus Labeobarbus, seems to be related to mouth polymorphism. The chisel-mouthed or scraping phenotype has repeatedly evolved within Labeobarbus. At least five ecomorphs with a scraping mouth morphology were detected in the waters of the Ethiopian Highlands and can be provisionally classified into two groups: (i) “Varicorhinus”-like, and (ii) “Smiling”-like. Previously, all Labeobarbus with a scraping-mouth morphology were considered to be periphyton feeders. Using data on morphology, diet and stable isotope ratios (C and N), we addressed the question: does a scraping-mouth morphology predict feeding on periphyton? Our study revealed that five scraper ecomorphs exhibited three main feeding modes: (i) periphyton-eating, (ii) herbivory–detritivory, and (iii) insectivory. Two cases of the parallel divergence of sympatric ecomorphs with distinct feeding modes (herbivory–detritivory vs. insectivory) were revealed in two geographically isolated basins. A significant difference in δ15N values was detected among sympatric scraper ecomorphs. A periphytonophagous scraper was rich in δ15N values that are comparable with those in sympatric piscivorous fish. This data sheds light on the possibility of the utilization of periphyton as a protein-rich food by fishes.

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