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Field weed population dynamics: a review of model approaches and applications

Holst, N.; Rasmussen, I.A. and Bastiaans, L. (2007) Field weed population dynamics: a review of model approaches and applications. Weed Research, 47 (1), pp. 1-14.

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Mathematical modelling is a commonly used tool for studying the long-term dynamics of weed populations in agriculture. This was reflected in our review by the large number of scientific papers (134 original publications) and the continuing need to gain an overview over this fast developing field (20 previous review papers were found). In this article, we provide a more comprehensive review than earlier seen, striving to include all relevant publications. Thus, we cover models of the population dynamics of 60 weed species in 40 crops. An online, accompanying database provices an indexed bibliography. Despite the large variation in crops, weeds and geography, the models were surprisingly similar in their approach: structured around the weed life cycle, excluding environmental factors and giving little attention to validation or even documentation of model construction. In addition, their application was similar, limited mostly to strategic decision making. We hope that the overview provided by this review will inspire weed modellers and that it will serve as a basis for discussion and as a frame of reference when we proceed to advance the modelling of weed populations to a new level, developing new approaches and tackling new application domains.

EPrint Type:Journal paper
Keywords:simulation, weed biology, density dependence, spatial, competition, herbicide resistance, management, economy, weed control, sensitivity, stochastic, validation, documentation
Subjects: Crop husbandry > Weed management
Research affiliation: Denmark > DARCOF III (2005-2010) > CROPSYS - The effect of cropping systems on production and the environment
Denmark > DARCOF III (2005-2010) > WEEDS - Control of weeds in organic cropping
Denmark > Other organizations
Denmark > CROPSYS
Related Links:http://www.blackwell-synergy.com/doi/suppl/10.1111/j.1365-3180.2007.00534.x, http://www.ewrs.org/
Deposited By: Rasmussen, Researcher Ilse A.
ID Code:11345
Deposited On:01 Oct 2007
Last Modified:06 Jun 2022 15:58
Document Language:English
Refereed:Peer-reviewed and accepted

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