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Daisy is an advanced soil-plant-atmosphere model that simulates plant growth as a function of water and nitrogen availability. It contains a detailed description of the soil that may include macropores and drains which also allow for description of transport of particles and pesticides. The modelling system allows a choice between process descriptions of different complexity for several of the processes. It can be run as 1- or 2D-versions. The model is free-ware and the code is open-source, allowing users to make additions. The first version of Daisy was launched in 1990, and since then, Daisy has been used in many projects on data from a number of different countries.
How does it work?
Daisy is a complex mechanistic mathematical model. Process descriptions mimic the physical or biological processes. Daisy is not equipped with a user interface in the traditional sense – instead it is set up using a file parser, which makes it very flexible. Default functions and parameters exist for many processes, but the model always requires data concerning weather, soil, crop choice and land management. It is recommended that users possess a fairly good understanding of the agronomic and physical processes that are modelled.
Perspectives
Daisy has been used for many purposes during its 25 years of existence. First the main focus was on nitrate leaching and optimization of cropping systems to retain nitrogen. Later, the main developments were aimed at simulating pesticide leaching, particularly the transport of strongly sorbing pesticides, such as glyphosate, to drains. Both ways of using Daisy are still relevant. But Daisy is also used to simulate groundwater under different types of forest, traficcability or workability of soil, and irrigation practices. Daisy analyses carbon dynamics when applying different types of waste on agricultural land and how it effects climate change on projected crop yield and leaching.
Implemented in a range of countries
The Daisy model is used by a range of institutions around the world, including
Find the model here
For more information and a link to the model please visit Agrohydrology at the Department of Plant and Environmental Sciences at the University of Copenhagen
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