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

N. Holst, I.A. Rasmussen, L. Bastiaans

Research output: Contribution to journalArticleAcademicpeer-review

113 Citations (Scopus)

Abstract

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 provides 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
Original languageEnglish
Pages (from-to)1-14
JournalWeed Research
Volume47
Issue number1
DOIs
Publication statusPublished - 2007

Fingerprint

weed
population dynamics
weeds
crop
crops
geography
bibliography
modeling
decision making
life cycle (organisms)
environmental factor
mathematical models
life cycle
agriculture
environmental factors

Keywords

  • species hypericum-perforatum
  • tolerant rapeseed crops
  • ryegrass lolium-rigidum
  • long-term evolution
  • soybean glycine-max
  • seed bank dynamics
  • corn zea-mays
  • bioeconomic model
  • alopecurus-myosuroides
  • integrated management

Cite this

@article{4de8de74a9104717affa5e6c0f6c5ae5,
title = "Field weed population dynamics : a review of model approaches and applications",
abstract = "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 provides 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",
keywords = "species hypericum-perforatum, tolerant rapeseed crops, ryegrass lolium-rigidum, long-term evolution, soybean glycine-max, seed bank dynamics, corn zea-mays, bioeconomic model, alopecurus-myosuroides, integrated management",
author = "N. Holst and I.A. Rasmussen and L. Bastiaans",
year = "2007",
doi = "10.1111/j.1365-3180.2007.00534.x",
language = "English",
volume = "47",
pages = "1--14",
journal = "Weed Research",
issn = "0043-1737",
publisher = "Wiley",
number = "1",

}

Field weed population dynamics : a review of model approaches and applications. / Holst, N.; Rasmussen, I.A.; Bastiaans, L.

In: Weed Research, Vol. 47, No. 1, 2007, p. 1-14.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Field weed population dynamics : a review of model approaches and applications

AU - Holst, N.

AU - Rasmussen, I.A.

AU - Bastiaans, L.

PY - 2007

Y1 - 2007

N2 - 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 provides 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

AB - 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 provides 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

KW - species hypericum-perforatum

KW - tolerant rapeseed crops

KW - ryegrass lolium-rigidum

KW - long-term evolution

KW - soybean glycine-max

KW - seed bank dynamics

KW - corn zea-mays

KW - bioeconomic model

KW - alopecurus-myosuroides

KW - integrated management

U2 - 10.1111/j.1365-3180.2007.00534.x

DO - 10.1111/j.1365-3180.2007.00534.x

M3 - Article

VL - 47

SP - 1

EP - 14

JO - Weed Research

JF - Weed Research

SN - 0043-1737

IS - 1

ER -