Forecasting flowering dates of lawn species with air temperature: Application boundaries of the linear approach

Marletto, Vittorio; Branzi, Giovanna Puppi; Sirotti, M.

doi:10.1007/bf02291333

Cited by 15 publications

(6 citation statements)

References 6 publications

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“…Ziello et al ( 2010 ) linked phenological, meteorological and palynological data along an altitudinal gradient in the German Alps. The study of the fl owering phenology of herbaceous plants in a lawn community required a special observational setup (Marletto et al 1992 ) as did the observation of the beginning of male fl owering of trees of the cypress family ( Cupressaceae) for pollen modelling purposes ) .…”

Section: Monitoring For Special Scienti Fi C Studiesmentioning

confidence: 99%

Allergenic Pollen

2013

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Section: Monitoring For Special Scienti Fi C Studiesmentioning

confidence: 99%

Allergenic Pollen

2013

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“…Galán et al, 1995;Smith & Emberlin, 2006;Brighetti et al, 2014). Blooming species growing in the same environment have a marked tendency to present the same onset advance or delay, being the temperature the determinant factor (Marletto et al, 1992). Mean daily temperature (Fig.…”

Section: Resultsmentioning

confidence: 99%

An exploratory analysis of seasonal and intraseasonal variations of the main airborne pollen types in Sunchales city, Argentina

Pérez¹,

Covi²,

Gassmann³

et al. 2021

Bol. Soc. Argent. Bot.

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Background and aims: The study of the seasonal and intra-seasonal variability of the airborne pollen concentration is of paramount importance to understand the relationships with the emitting vegetation and the atmospheric parameters that modulate pollen transport. This research aims to study these variabilities in Sunchales, a city located in the center-east of Argentina. M&M: Atmospheric monitoring was carried out with a Burkard trap during two seasons in 2012 and 2013 on the outskirts of the city. Results & Conclusions: The pollination periods of the studied pollen types show a delay in 2013 compared to the previous year, presumably related to a greater amount of cumulative heat units in 2012. However, the integral pollen for the period 2013 was 1.4 times higher than 2012, a fact that is not explained by accumulated precipitation but by the time of day when the hydrometeors occur. Binned pollen concentrations show that the highest concentrations coincide with the urban location of the tree sources while the herbaceous ones show an association with a rural origin. Regarding the intra-seasonal variability, the highest proportion of the airborne pollen variance accumulates on the synoptic-scale (80 - 60%) with periods between 3 and 10 days. During 2012 long waves predominated (> 5.5 days) while in 2013 medium waves prevailed (3.9 - 5.5 days).

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“…When we attempt to use variable air temperature (as a function of time) to calculate ADD, the following equation is recommended (Aono ; Marletto et al. ; Lopez and Runkle ):

SET = \sum_{i = SD}^{ED} (\int_{0}^{1} false(T_{normalair, i} - T_{normalbase} false) italicdt)

…”

Section: Introductionmentioning

confidence: 99%

“…Here, T is constant temperature. When we attempt to use variable air temperature (as a function of time) to calculate ADD, the following equation is recommended (Aono 1993;Marletto et al 1992;Lopez and Runkle 2004):…”

Section: Introductionmentioning

confidence: 99%

Influence of air temperature on the first flowering date of Prunus yedoensis Matsum

Shi

Chen

Yang

et al. 2014

Ecology and Evolution

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Climate change is expected to have a significant effect on the first flowering date (FFD) in plants flowering in early spring. Prunus yedoensis Matsum is a good model plant for analyzing this effect. In this study, we used a degree day model to analyze the effect of air temperatures on the FFDs of P. yedoensis at Wuhan University from a long-time series from 1951 to 2012. First, the starting date (=7 February) is determined according to the lowest correlation coefficient between the FFD and the daily average accumulated degree days (ADD). Second, the base temperature (=−1.2°C) is determined according to the lowest root mean square error (RMSE) between the observed and predicted FFDs based on the mean of 62-year ADDs. Finally, based on this combination of starting date and base temperature, the daily average ADD of every year was calculated. Performing a linear fit of the daily average ADD to year, we find that there is an increasing trend that indicates climate warming from a biological climatic indicator. In addition, we find that the minimum annual temperature also has a significant effect on the FFD of P. yedoensis using the generalized additive model. This study provides a method for analyzing the climate change on the FFD in plants' flowering in early spring.

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Forecasting flowering dates of lawn species with air temperature: Application boundaries of the linear approach

Cited by 15 publications

References 6 publications

Allergenic Pollen

Allergenic Pollen

An exploratory analysis of seasonal and intraseasonal variations of the main airborne pollen types in Sunchales city, Argentina

Influence of air temperature on the first flowering date of Prunus yedoensis Matsum

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