A multi-disciplinary approach for the precision management of lodging risk

Berry, Pete; Blackburn, Alan; Sterling, Mark; Miao, Yuxin; Hatley, D.; Gullick, David; Joseph, G.M.D.; Whyatt, J. Duncan; Soper, David; Murray, Jon; Baker, C.J.

doi:10.3920/978-90-8686-888-9_119

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Predictions of lodging risk based on the status of the developing crop, using measures such as LAI, will help farmers to tactically fine-tune crop husbandry and take account of early season growing conditions. A framework for a crop lodging decision support system known as CROPFALL has been described by Berry et al (2019). This decision support system is designed to integrate a lodging model with remote sensing information to inform crop husbandry decisions on a field-by-field basis and on a metre-by-metre basis, thereby enabling precision application of crop inputs.…”

Section: Discussionmentioning

confidence: 99%

Development and application of a model for calculating the risk of stem and root lodging in maize

Berry

Baker

Hatley

et al. 2021

Field Crops Research

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Section: Discussionmentioning

confidence: 99%

Development and application of a model for calculating the risk of stem and root lodging in maize

Berry

Baker

Hatley

et al. 2021

Field Crops Research

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“…In most cases lodging is caused by strong wind accompanied by heavy rain, whereby the maximum wind speed is the critical parameter (Mohammadi et al, 2020;Niu et al, 2016). The vulnerability of plants to lodging depends on many factors; for example, excessive usage of nitrogen fertilizers increases lodging vulnerability of wheat (Berry et al, 2019). It is therefore difficult to determine general threshold values for a critical wind speed.…”

Section: Wind Damage In the Agriculturementioning

confidence: 99%

Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts

Gliksman

Averbeck

Becker³

et al. 2023

Nat. Hazards Earth Syst. Sci.

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Abstract. Wind and windstorms cause severe damage to natural and human-made environments. Thus, wind-related risk assessment is vital for the preparation and mitigation of calamities. However, the cascade of events leading to damage depends on many factors that are environment-specific and the available methods to address wind-related damage often require sophisticated analysis and specialization. Fortunately, simple indices and thresholds are as effective as complex mechanistic models for many applications. Nonetheless, the multitude of indices and thresholds available requires a careful selection process according to the target sector. Here, we first provide a basic background on wind and storm formation and characteristics, followed by a comprehensive collection of both indices and thresholds that can be used to predict the occurrence and magnitude of wind and storm damage. We focused on five key sectors: forests, urban areas, transport, agriculture and wind-based energy production. For each sector we described indices and thresholds relating to physical properties such as topography and land cover but also to economic aspects (e.g. disruptions in transportation or energy production). In the face of increased climatic variability, the promotion of more effective analysis of wind and storm damage could reduce the impact on society and the environment.

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“…For crops that oscillate as isolated plants (e.g., wheat), the generalised model reduces to that described in Baker (1995). This model is being used in a number of linked multi-disciplinary investigations to study the lodging of a variety of crops around the world, based on a range of aerodynamic, climate and agronomic studies, with a view to incorporating of the results into a GIS framework that can be used to identify crops at risk of lodging, or, conversely, the development of more risk resistant crops (Berry et al, 2019).…”

Section: Introductionmentioning

confidence: 99%