Modelling diurnal and seasonal patterns of maize pollen emission in relation to meteorological factors

Marceau, Alexis; Loubet, Benjamin; Andrieu, Bruno; Durand, Brigitte; Foueillassar, Xavier; Huber, Laurent

doi:10.1016/j.agrformet.2010.08.012

Cited by 26 publications

(28 citation statements)

References 32 publications

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“…The average normalized hourly oak pollen emission flux (with standard deviation) at Pasadena shows a dominant peak during the afternoon with around 20 % of daily total emission release at 16:00 LT and a small peak during evening hours. The calculated typical E P diurnal profile has a unimodal distribution with the peak in the afternoon, which is consistent with other observational and modeling studies (Jones and Harrison, 2004;Laursen et al, 2007;Marceau et al, 2011).…”

Section: Pollen Emission Potential and Emission Ratesupporting

confidence: 77%

“…Even though the details of the schemes vary, two core parts are central to all models, namely pollen emission and pollen transport. For the pollen emission component, the start, end, and duration of the pollen season as well as the diurnal emission profiles are typically generated via a regression analysis between observed pollen counts and key meteorological factors such as temperature, relative humidity, and wind speed (Jones and Harrison 2004;Schuler and Schlünzen, 2006;Laursen et al, 2007;Marceau et al, 2011). The spatial patterns of the pollen sources are based on vegetation distribution maps, which are subject to large uncertainties (Sofiev et al, , 2013Skjøth et al, 2010;Pauling et al, 2011).…”

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confidence: 99%

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Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

et al. 2014

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Abstract. Exposure to bioaerosol allergens such as pollen can cause exacerbations of allergenic airway disease (AAD) in sensitive populations, and thus cause serious public health problems. Assessing these health impacts by linking the airborne pollen levels, concentrations of respirable allergenic material, and human allergenic response under current and future climate conditions is a key step toward developing preventive and adaptive actions. To that end, a regional-scale pollen emission and transport modeling framework was developed that treats allergenic pollens as non-reactive tracers within the coupled Weather Research and Forecasting Community Multiscale Air Quality (WRF/CMAQ) modeling system. The Simulator of the Timing and Magnitude of Pollen Season (STaMPS) model was used to generate a daily pollen pool that can then be emitted into the atmosphere by wind. The STaMPS is driven by species-specific meteorological (temperature and/or precipitation) threshold conditions and is designed to be flexible with respect to its representation of vegetation species and plant functional types (PFTs). The hourly pollen emission flux was parameterized by considering the pollen pool, friction velocity, and wind threshold values. The dry deposition velocity of each species of pollen was estimated based on pollen grain size and density. An evaluation of the pollen modeling framework was conducted for southern California (USA) for the period from March to June 2010. This period coincided with observations by the University of Southern California's Children's Health Study (CHS), which included O 3 , PM 2.5 , and pollen count, as well as measurements of exhaled nitric oxide in study participants. Two nesting domains with horizontal resolutions of 12 and 4 km were constructed, and six representative allergenic pollen genera were included: birch tree, walnut tree, mulberry tree, olive tree, oak tree, and brome grasses. Under the current parameterization scheme, the modeling framework tends to underestimate walnut and peak oak pollen concentrations, and tends to overestimate grass pollen concentrations. The model shows reasonable agreement with observed birch, olive, and mulberry tree pollen concentrations. Sensitivity studies suggest that the estimation of the pollen pool is a major source of uncertainty for simulated pollen concentrations. Achieving agreement between emission modeling and observed pattern of pollen releases is the key for successful pollen concentration simulations.

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Section: Pollen Emission Potential and Emission Ratesupporting

confidence: 77%

mentioning

confidence: 99%

Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

et al. 2014

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show abstract

“…The average normalized hourly oak pollen emission flux (with standard deviation) at Pasadena shows a dominant peak during afternoon with around 20% of daily total emission release at 4 pm local time and a small peak during evening hours. The calculated typical E P diurnal profile has a unimodal distribution with the peak in the afternoon, which is consistent with other observational and modeling studies (Jones and Harrison, 2004; Laursen et al, 2007; Marceau et al, 2011). …”

Section: Resultssupporting

confidence: 90%

“…Even though the details of the schemes vary, two core parts are central to all models, namely pollen emission and pollen transport. For the pollen emission component, the start, end, and duration of the pollen season as well as the diurnal emission profiles are typically generated via a regression analysis between observed pollen counts and key meteorological factors such as temperature, relative humidity, and wind speed (Jones and Harrison 2004; Schuler and Schlünzen, 2006; Laursen et al, 2007; Marceau et al, 2011). The spatial patterns of the pollen sources are based on vegetation distribution maps, which are subject to large uncertainties (Sofiev et al, 2006; Skjøth et al, 2010; Pauling et al, 2011; Sofiev et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

Zhang

Duhl

Salam

et al. 2013

Preprint

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Exposure to bioaerosol allergens such as pollen can cause exacerbations of allergenic airway disease (AAD) in sensitive populations, and thus cause serious public health problems. Assessing these health impacts by linking the airborne pollen levels, concentrations of respirable allergenic material, and human allergenic response under current and future climate conditions is a key step toward developing preventive and adaptive actions. To that end, a regional-scale pollen emission and transport modeling framework was developed that treats allergenic pollens as non-reactive tracers within the WRF/CMAQ air-quality modeling system. The Simulator of the Timing and Magnitude of Pollen Season (STaMPS) model was used to generate a daily pollen pool that can then be emitted into the atmosphere by wind. The STaMPS is driven by species-specific meteorological (temperature and/or precipitation) threshold conditions and is designed to be flexible with respect to its representation of vegetation species and plant functional types (PFTs). The hourly pollen emission flux was parameterized by considering the pollen pool, friction velocity, and wind threshold values. The dry deposition velocity of each species of pollen was estimated based on pollen grain size and density. An evaluation of the pollen modeling framework was conducted for southern California for the period from March to June 2010. This period coincided with observations by the University of Southern California's Children's Health Study (CHS), which included O3, PM2.5, and pollen count, as well as measurements of exhaled nitric oxide in study participants. Two nesting domains with horizontal resolutions of 12 km and 4 km were constructed, and six representative allergenic pollen genera were included: birch tree, walnut tree, mulberry tree, olive tree, oak tree, and brome grasses. Under the current parameterization scheme, the modeling framework tends to underestimate walnut and peak oak pollen concentrations, and tends to overestimate grass pollen concentrations. The model shows reasonable agreement with observed birch, olive, and mulberry tree pollen concentrations. Sensitivity studies suggest that the estimation of the pollen pool is a major source of uncertainty for simulated pollen concentrations. Achieving agreement between emission modeling and observed pattern of pollen releases is the key for successful pollen concentration simulations.

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“…3 Pollen-mediated gene flow may result from the adventitious mixing of non-GM maize from neighboring GM fields. [4][5][6] Gene flow can be monitored by measuring a recipient field's levels of cross-pollination (CP) at various distances from pollen source. The CP rate of a maize recipient is defined as the percentage of off-types in a progeny by detecting the xenia effect in the progeny.…”

Section: Introductionmentioning

confidence: 99%

The effect of flowering time and distance between pollen source and recipient on maize

et al. 2014

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Abbreviations: AVK, the average total kernel number per ear in the whole field; CP, cross-pollination; GM, genetically modified Field experiments were conducted in Central Taiwan for 2 crop seasons to examine the effect of non-coincidence flowering on the cross-pollination (CP) rate of maize at various distances. Four local maize hybrid varieties with different flowering dates and one local maize variety were sown as the pollen sources and recipient, respectively. All varieties were sown on the same day to simulate the real situation of coexistence in which adjacent fields are sown with different genetically modified (GM) and non-GM varieties of maize. The CP rate was <0.2% at a distance of 3 m for the first crop season when the flowering time for the recipient was 5 d later than that of the pollen source variety. The CP rate was <0.02% at all distances for the second season when the flowering time for the recipient was 7 d later than that of the pollen source variety. The CP rate was <1% at a distance of 0.75 m when the flowering time was 3 d later. However, varieties with closer synchrony may result in a CP rate of >1% at a distance of 1.5 m and <1% at 2.25 m. Temporal separation and isolation distances can work together in Taiwan with fragmented landscapes to minimize the adventitious presence of one crop with another.

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Modelling diurnal and seasonal patterns of maize pollen emission in relation to meteorological factors

Cited by 26 publications

References 32 publications

Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease

The effect of flowering time and distance between pollen source and recipient on maize

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