The realism of models in plant demography

Blom, C.W.P.M.

doi:10.1111/j.1438-8677.1988.tb02151.x

Cited by 11 publications

(6 citation statements)

References 135 publications

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“…Weed models should therefore ideally simulate the population dynamics along both these axes (Mortimer & Putwain, 1984; van Groenendael, 1988; Colbach & Debaeke, 1998). Intra‐ and interspecific competitions are key processes in weed population dynamics (Blom, 1988) and ecophysiological models have been suggested as the most appropriate tool for exploring these interactions (Kropff et al. , 1996).…”

Section: Weed Population Dynamicsmentioning

confidence: 99%

“…This has lead to a demand to incorporate sensitivity analysis in the modelling process and stochasticity in the model itself (Mortimer & Putwain, 1984). It has even been claimed that only stochastic models have the potential to be validated (Blom, 1988). Stochastic modelling has also been seen as the only solution to model inherent uncertainty, including variation between years and sites (Doyle, 1991) and variance in parameter estimates (Cousens, 1995).…”

Section: Model Uncertaintymentioning

confidence: 99%

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

Holst¹,

Rasmussen²,

2007

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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 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.

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Section: Weed Population Dynamicsmentioning

confidence: 99%

Section: Model Uncertaintymentioning

confidence: 99%

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

Holst¹,

Rasmussen²,

2007

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“…( 7 ) The effects of environmental factors on the behaviour of plants strongly depend on the stage of the life cycle ( Blom, 1987( Blom, , 1988. Flood-tolerant spe cies are mainly characterized by a large persistent seed bank, whereas intol erant plants possess a more transient seed bank (Voesenek, 1990).…”

Section: R E P R O D U C T Iv E Stra Teg Iesmentioning

confidence: 99%

Adaptations to flooding in plants from river areas

et al. 1990

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Blom, C.W.P.M., Bögemann, G.M., Laan, P., van der Sman, A.J.M., van Flooding frequencies and intensities determine both species composition and the behaviour of in dividual plants along many rivers in the world. In this context, this paper describes the vegetation zonation associated with the fluctuating water levels of the river Rhine in the eastern part of The Netherlands. To obtain insight into the morphological and physiological processes of plants that have been shown to possess contrasting tolerances to Hooding, certain species were chosen as being repre sentative of the vegetation types from the river foreland and subsequently used in experimental stud ies. These species, of the genera Rume.x and Chenopodium, were subjected to various flooding regimes

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“…Weed models should therefore ideally simulate the population dynamics along both these axes (Mortimer and Putwain, 1984;Van Groenendael, 1988;Colbach and Debaeke, 1998). Intra-and interspecific competitions are key processes in weed population dynamics (Blom, 1988) and ecophysiological models have been suggested as the most appropriate tool for exploring these interactions (Kropff et al, 1996).…”

Section: Resultsmentioning

confidence: 99%

Estimating Population Density of Himalayan Rangeland Weed Senecio chrysamthemoides DC.

Limbu

Khatiwada

Koirala³

2013

Our Nature

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Unpalatable and unwanted native or invasive plants that have adverse impact on the forage in the grazing area are rangeland weed. Climate change, introduction of new species, disturbance and fragmentation of land are causative factors for spreading native or invasive weed infestation on rangelands. Senecio chrysanthemoides is a serious obnoxious weed on Himalayan rangeland area. It is densely populated on plain and left places of shed constructed area consequent rangeland degraded, displacing desirable species, degrading systems, decreasing productivity and increase management costs. To arrest infestation of weed, mechanical control measure was followed but unplanned mechanical control measure was inadequate. Up-rooting weed earlier flowering was more effective than other life form of weed.DOI: http://dx.doi.org/10.3126/on.v10i1.7745

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The realism of models in plant demography

Cited by 11 publications

References 135 publications

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

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

Adaptations to flooding in plants from river areas

Estimating Population Density of Himalayan Rangeland Weed Senecio chrysamthemoides DC.

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