BioVeL internal Workflows

Biome-BGC SA 1.3 (1)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models have been implemented: the Biome-BGC v4.1.1 Max Planck Institute model, and the newly developed Biome-BGC MuSo 3.0 model. Performance, success or failure of these models are highly dependent on parameter settings and variation. Due to the high number of parameters (around 40 and 60 for 4.1.1 MPI and MuSo respectively) and the non-line...

Created: 2014-10-04

Credits: Ferenc HORVATH Dora Krasser Peter Ittzes Zoltan BARCZA BioVeL

Microbial Metagenomic Trait Calculation an... (3)

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This workflow calculates the microbial traits of your metagenome and retrieves additional traits data from the Microbial Metagenomic Trait Database http://mb3is.megx.net/mg-traits. The list of traits: - GC content - Variance of GC content - Dinucleotides - Number of rRNA - Codon usage - Amino acid composition - Acidic to basic amino acids ratio - % of Transcriptional factors - % of classified reads - Functional content - Functional diversity - Taxonomic content - Taxonomic diversity As ...

Created: 2014-10-03 | Last updated: 2015-06-12

Credits: Renzo Antonio Fernandez-Guerra

Attributions: Microbial Metagenomic Trait Statistical Analysis Workflow

Biome-BGC GLUE 1.3 (2)

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Biome-BGC is working with a lots of ‘a priori’ unknown and hard to obtain model parameters. Therefore the parameterization is a critical step of using the model. Parameteres can be estimated using inverse calibration techniques based on measurement data, which means that the model is being calibrated. Measurement data have to be collected with respect to the model in order to compare them. Comparison is based on misfit measure (e.g. a sort of likelihood value), which is the function of the di...

Created: 2014-10-02 | Last updated: 2014-10-09

Credits: Peter Ittzes Ferenc HORVATH Dora Krasser Zoltan BARCZA Doborl BioVeL

Exploration of fishing scenarios (1)

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This workflow must run after the workflow: Resident killer whale-chinook salmon interactions. The interaction workflows generates a PostWorkspace file, this is a zip file and it is an R Workspace that transfers values from the Resident killer whale-chinook salmon interactions (main) workflow to the Exploration of fishing scenario (post-processing) workflow. This workflow merges statistical inference derived from linkages between RKW vital rates (survival probability and fecundity rates) a...

Created: 2014-09-26

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Attributions: Resident killer whale-chinook salmon interactions

Resident killer whale-chinook salmon inter... (1)

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The resident killer whale-chinook salmon interactions workflow provides an environment to calculate a two-sex stage-structured matrix with no density dependence and with vital rates as random variables or as functions of Chinook abundance from specific stock aggregates and to (i) quantify the differences in demographic rates between killer whale (Orcinus orca) population that explain population growth; (ii) to determine the relative influence of vital rates and Chinook (Oncorhynchus tshawytsc...

Created: 2014-09-26

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Attributions: Killer whale demography

Killer whale demography (1)

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This workflow analyzes the demography and population growth of resident killer whale populations. Originally created for comparative studies of Northeastern Pacific populations at risk, Southern Resident Killer Whales (SRKW) and the Northern Resident Killer Whales (NRKW), the workflow can be used for other killer whale populations or cetaceans counting with census data and life cycles that can be represented using the matrix models described in this document. This workflow perform the follow...

Created: 2014-09-24

Credits: Maria Paula Balcazar-Vargas Antonio Velez-Espino Andres Araujo Jon Giddy Francisco Quevedo

Elasticity and Sensitivity of the Vital rates (1)

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This workflow calculates the Elasticity and Sensitivity of population growth rate with respect to various vital rates. The goal in both cases is to determine which vital rates has/ve the most influence on population growth rate (?). Elasticity and Sensitivity: Sensitivity and elasticity analyses are prospective analyses. a) The sensitivity matrix: The sensitivity describes the effect on ? of changes in vital rates of the matrix. The derivative tells what would happened to ? if aij was to c...

Created: 2014-08-29

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Variance matrix (1)

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This workflow estimates the variance matrix from a list of matrices. This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359. This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011). ================================================================================== Literature Caswell, H. 20...

Created: 2014-08-28

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Calculate and Plot abundance over the years (1)

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This workflow calculates and plots the abundance per stage per year. This workflow has been created by the Biodiversity Virtual e-Laboratory (BioVeL http://www.biovel.eu/) project. BioVeL is funded by the EU’s Seventh Framework Program, grant no. 283359. This workflow was created using and based on Package ‘popbio’ in R. (Stubben & Milligan 2007; Stubben, Milligan & Nantel 2011). ================================================================================== Literature Caswell, H. 20...

Created: 2014-08-28

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer