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Items tagged with "ecosystem functioning" (14)

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Project Biovel

Blob Thornton (2000) User's Guide for Biome-BGC, version ...

Created: 2014-05-21 04:54:33

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This User's Guide give a detailed reference to setting Biome-BGC model.

File type: Adobe PDF

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Blob Trusilova et al. (2009) Parameter estimation and val...

Created: 2014-05-21 04:56:56 | Last updated: 2014-05-21 05:15:32

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Trusilova, K., Trembath, J., Churkina, G. (2009) Parameter estimation and validation of the terrestrial ecosystem model Biome-BGC using eddy-covariance flux measurements. Max-Planck-Institut für Biogeochemie, Technical Reports 16, 1-60.      

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Project Biovel

Blob Biome-BGC 4.1.1 executable for Windows

Created: 2014-05-21 05:01:21

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Compressed directory contains all necessary subdirectories and files for running the Biome-BGC model, version 4.1.1 MPI.

File type: Trident (Package)

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Blob TEST DEMO EPC GRASSLAND MuSo v2.2 HARMONY

Created: 2014-05-26 05:55:49

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO EPC file 'HARMONY' for Biome-BGC MuSo v2.2 simulation runs

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Project Biovel

Blob TEST DEMO EPC GRASSLAND MuSo v2.2 NITROGEN

Created: 2014-05-26 05:57:25

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO EPC file 'NITROGEN' for Biome-BGC MuSo v2.2 simulation runs

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Project Biovel

Blob TEST DEMO EPC GRASSLAND MuSo v2.2 LEAFAREA

Created: 2014-05-26 05:58:54

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO EPC file 'LEAFAREA' for Biome-BGC MuSo v2.2 simulation runs

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Project Biovel

Blob TEST DEMO METDATA FOR Biome-BGC, HHS, 1901-2000

Created: 2014-05-26 06:01:41

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO METDATA (daily meteorology data) file for Biome-BGC simulation runs

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Packs (3)
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Project Biovel

Pack Understanding Basics of a Biome-BGC simulation run


Created: 2014-05-21 04:31:40 | Last updated: 2014-05-21 05:03:34

Biome-BGC is a biogeochemical model that simulates the storage and flux of water, carbon, and nitrogen between the ecosystem and the atmosphere, and within the components of the terrestrial ecosystems (Thornton, 2000). The Biome-BGC was developed by the Numerical Terradynamic Simulation Group (NTSG), University of Montana.The executable code of Biome-BGC are embedded in web services and workflows, while input and parameter files or datasets are managed with Biome-BGC Projects d...

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Project Biovel

Pack Preparatory working with Biome-BGC Projects database...


Created: 2014-05-26 06:10:06 | Last updated: 2014-05-27 15:23:06

Various meteorology, EPC (ecophysiology parameter) and observation files for Biome-BGC simulation runs.

9 items in this pack

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Pack Ecosystem modelling with Biome-BGC


Created: 2015-05-19 09:00:27 | Last updated: 2015-06-12 13:48:45

Brings together 5 workflows for ecosystem modelling and calculation of ecosystem service indicators. These workflows are developed around the Biome-BGC biogeochemical modelling software that simulates the storage and flux of water, carbon, and nitrogen between the ecosystem and the atmosphere, and within the components of the terrestrial ecosystems (Thornton, 2000).See descriptions of individual workflows for more details.The workflows in this pack have been created by the Biodiversity Virtua...

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Workflows (4)
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Project Biovel

Workflow Biome-BGC CARBON 1.2 (4)

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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. A new version of the model, called Biome-BGC MuSo was developed to perform more realistic simulations in terms of soil hydrology, and improved ecosystem management options essentially (Hidy et al. 2012; Hidy & Barcza 2014). The Biome-BGC CARBON service executes a single simulation run at a given geographic location under that distinctive environ...

Created: 2013-06-04 | Last updated: 2015-06-12

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes User Zoltan BARCZA Network-member BioVeL

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Project Biovel

Workflow Biome-BGC MCE 1.4.1 (4)

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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 were implemented: Biome-BGC 4.1.1 MPI (Trusilova et al. 2009) and Biome-BGC MuSo 3.0 (Hidy & Barcza 2014). Its has about 40 and 60 various parameters. The only way to estimate or set these parameters is "calibration" (data-model-harmonization or model-data-fusion), which demands a hugh amount of computational capacity. Monte Carlo Exp...

Created: 2013-06-04 | Last updated: 2014-10-04

Credits: User Ferenc HORVATH User Zoltan BARCZA User Dora Krasser User Peter Ittzes Network-member BioVeL

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Project Biovel

Workflow Biome-BGC ESI version 1.4.1 (3)

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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. The model can help us to quantify a broad range of ecosystem service indicators. These newly developed measures include: annual wood increment, yearly production of grasslands or croplands, total average carbon stock, annual evapotranspiration, damping of ecosystem daily water outflow, living and dead biomass protecting the soil against erosion,...

Created: 2013-08-12 | Last updated: 2014-10-04

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes Network-member BioVeL

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Project Biovel

Workflow 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: User Ferenc HORVATH User Dora Krasser User Peter Ittzes User Zoltan BARCZA Network-member BioVeL

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