The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems

Moore, Andrew D.; Holzworth, DP; Herrmann, Neville I.; Huth, N. I.; Robertson, Michael

doi:10.1016/j.agsy.2007.03.006

Cited by 84 publications

(36 citation statements)

References 18 publications

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“…APSIM, being a modular framework, is the tool that offers the most flexibility; there are a great number of modules already available that can be selected and integrated by a powerful management engine (Keating et al 2003;Holzworth et al in press). Also, with the implementation of the Common Modelling Protocol (Moore et al 2007), the development of new modules is open to a broader number of researchers, and their implementation is relatively easy. For instance, the ability of APSIM to simulate pastoral systems has been strengthened by the inclusion of the FarmWi$e (Moore 2001) and EcoMod modules into its modelling framework.…”

Section: Long-term Average Type Modelsmentioning

confidence: 99%

“…In the APSIM framework, the user can choose the modules to be used, and when based on the Common Modelling Protocol (Moore et al 2007) different modules can be easily added as they are developed. These new modules can be developed independently by researchers interested in using APSIM's management scripting module or any other module.…”

Section: Apsim (Agricultural Production Systems Simulator)mentioning

confidence: 99%

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Estimating nutrient loss to waterways—an overview of models of relevance to New Zealand pastoral farms

Cichota¹,

Snow²

2009

New Zealand Journal of Agricultural Research

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Reliable estimation of nutrient losses from farmland is of increasing interest, driven by both economic and environmental concerns. Routine direct measurement of nutrient losses is currently impractical given the scale and variability of the problem. Simulation models are the best alternative and their use for assessing potential nutrient losses has been increasing worldwide. In New Zealand, there are a considerable number of models in use, or that are being developed, aiming to estimate N and P losses from pastoral fields. This range of alternative models reflects both the different level of detail and scale at which N and P losses can be estimated, and the diverse range of purposes assumed during the model development. Thus, it is important to understand the differences between models in order to select the one that will produce estimates appropriate to the intended use. This work presents an overview of the principal models for estimating nutrient loss being used or developed in New Zealand. It emphasises models that deal with N and P losses from pastoral farming systems, particularly via leaching, and that may allow the handling of different farm management procedures. Most of the models have gone through some testing and are supported by published works, although some are not fully operational yet and others need further evaluation. There is, in general, a lack of organised information about how several of these A08025; Online publication date 29 July 2009 Received 19 May 2009 accepted 27 March 2009 models work and what their main purposes are. We aim to supply some basic information about the available tools, sorting them into categories to highlight their primary differences and similarities. This is intended to assist discussions about model selection as well to highlight where information gaps about particular models need to be addressed.

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Section: Long-term Average Type Modelsmentioning

confidence: 99%

Section: Apsim (Agricultural Production Systems Simulator)mentioning

confidence: 99%

Estimating nutrient loss to waterways—an overview of models of relevance to New Zealand pastoral farms

Cichota¹,

Snow²

2009

New Zealand Journal of Agricultural Research

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“…This technically integrated approach (Knapen et al, 2013) was chosen over the alternatives (incorporating an APSIM simulation into the DYMEX simulator or writing a separate piece of linking software) for two reasons: firstly, this approach enables multi-point models (the ability to simultaneously simulate multiple points in space and the interactions between them, thus allowing the simulation of weed patch dynamics or disease movement between points) that link agro-ecological and population sub-models and secondly, the input and output facilities in APSIM are more suited to running and interpreting detailed biophysical models. A software interface to the DYMEX simulation engine (without its graphical user interface) was developed to implement DYMEX as a CMP-compliant component (Moore et al, 2007). Because APSIM simulations use the CMP, the DYMEX component executes with the rest of the APSIM simulation, it accepts information from other modules in the simulation (e.g.…”

Section: Dymexeapsim Linkmentioning

confidence: 99%

“…Many of the new developments within the APSIM framework have been facilitated by the adoption of a Common Modelling Protocol (CMP) (Moore et al, 2007) that has simplified the integration of components from other modelling tools. This work has enabled APSIM, a predominantly cropping model, to be combined with more complex grazing, pasture ) and animal models to more accurately represent the typical enterprises within a farming system .…”

Section: Introductionmentioning

confidence: 99%

Integrating pest population models with biophysical crop models to better represent the farming system

Whish

Herrmann

White³

et al. 2015

Environmental Modelling & Software

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a b s t r a c tFarming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent fluxes through the soil, plant and atmosphere of the system well, but do not generally consider the biotic constraints that function within the system. We designed a method that allowed population models built in DYMEX to interact with APSIM. The simulator engine component of the DYMEX population-modelling platform was wrapped within an APSIM module allowing it to get and set variable values in other APSIM models running in the simulation. A rust model developed in DYMEX is used to demonstrate how the developing rust population reduces the crop's green leaf area. The success of the linking process is seen in the interaction of the two models and how changes in rust population on the crop's leaves feedback to the APSIM crop modifying the growth and development of the crop's leaf area. This linking of population models to simulate pest populations and biophysical models to simulate crop growth and development increases the complexity of the simulation, but provides a tool to investigate biotic constraints within farming systems and further moves APSIM towards being an agro-ecological framework.Crown

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“…The process of preparing models for integration can thus go through some combination of steps, as summarized in Fig 2.2. And if we want to use the model independently of the development environment, or need to protect intellectual property rights of developers, we may have to deliver a model in binary format as DLL or EXE file rather than source code (Moore et al, 2007). Model modifications will sometimes be needed to enable automated inputoutput data exchange that conforms to a specific framework design.…”

Section: Preparing Models For Integrationmentioning

confidence: 99%

Integrating models on the web : applications for socio-environmental studies

Belete¹

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The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems

Cited by 84 publications

References 18 publications

Estimating nutrient loss to waterways—an overview of models of relevance to New Zealand pastoral farms

Estimating nutrient loss to waterways—an overview of models of relevance to New Zealand pastoral farms

Integrating pest population models with biophysical crop models to better represent the farming system

Integrating models on the web : applications for socio-environmental studies

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