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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

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

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TRE file

Created: 2014-09-30 09:34:51

Credits: Antonio Velez-Espino Andres Araujo

Attributions: Exploration of fishing scenarios

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

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TRE HR file

Created: 2014-09-30 09:32:41

Credits: Antonio Velez-Espino Andres Araujo

Attributions: Exploration of fishing scenarios

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

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Term run file

Created: 2014-09-30 09:29:57 | Last updated: 2014-09-30 09:30:11

Credits: Antonio Velez-Espino Andres Araujo

Attributions: Exploration of fishing scenarios

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

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ER_Indicators file

Created: 2014-09-30 09:27:47

Credits: Antonio Velez-Espino Andres Araujo

Attributions: Exploration of fishing scenarios

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 41 times | Downloaded: 27 times

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Killer whale demography documentation

Created: 2014-09-26 12:19:25

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

Attributions: Killer whale demography

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 42 times | Downloaded: 41 times

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Resident killer whale-chinook salmon interactions an...

Created: 2014-09-26 12:09:28 | Last updated: 2014-09-26 12:11:12

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

Attributions: Exploration of fishing scenarios Resident killer whale-chinook salmon interactions

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 106 times | Downloaded: 47 times

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