GRASSMIND Model

GRASSMIND is an individual- and process-based model designed for simulating the structure and dynamics of herbaceous communities including:

grasslandsindividual-basedprocess-based
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Contributor

contributed at 2021-05-24

Authorship

Affiliation:  
Helmholtz Centre for Environmental Research - UFZ
Email:  
karin.frank@ufz.de
Homepage:  
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Classification(s)

Method-focused categoriesProcess-perspectiveBiological process calculation

Model Description

English {{currentDetailLanguage}} English

Quoted from: https://formind.org/model/formind/grassmind/

 

GRASSMIND is an individual- and process-based model designed for simulating the structure and dynamics of herbaceous communities including:

  • competition between individual plants for light, space, soil water and nitrogen
  • different management regimes (mowing, irrigation, fertilization)
  • climatic changes (drought events, increased temperatures, etc.)
Grassmind concept.

Grassmind concept.

Grasslands have been received increasing attention in the context of biodiversity experiments. In such experiments, ecosystem functions like productivity and carbon storage often increase with species-richness.

In order to examine differently emerging relationships between species diversity and ecosystem functions in grasslands, we developed the process-based and individual-oriented grassland model GRASSMIND analogous to our forest model FORMIND. Therein, individual plants compete for light and space aboveground and for soil water and nitrogen belowground. For the latter, we coupled GRASSMIND with the soil model CANDY and Century.

Reference:
Taubert, Frank, Huth
A review of grassland models in the biofuel context.
Ecological Modelling 2012
http://dx.doi.org/10.1016/j.ecolmodel.2012.04.007

 

GRASSMIND was developed at the Helmholtz Centre for Environmental Research – UFZ Leipzig.

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How to Cite

Prof. Dr. Karin Frank (2021). GRASSMIND Model, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/55c478d4-7a70-4414-967b-e274dcce0a10
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Contributor(s)

Initial contribute: 2021-05-24

Authorship

Affiliation:  
Helmholtz Centre for Environmental Research - UFZ
Email:  
karin.frank@ufz.de
Homepage:  
View
Is authorship not correct? Feedback

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