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2023
DOI: 10.1038/s41598-023-31010-2
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The effect of herbicides on morphological features of pollen grains in Prunus serotina Ehrh. in the context of elimination of this invasive species from European forests

Abstract: Prunus serotina Ehrh. is an alien invasive neophyte widespread in European forests. So far, no effective methods of its elimination have been developed. For this reason, the aim of our study was to determine how herbicides affect the morphological characteristics of pollen grains. This knowledge may be crucial to control this invasive species. The current study was carried out in a research area of 2.7 ha located in the Zielonka Forest near Poznań, Poland (N 52°31′58.016″, E 17°05′55.588″). We tested morpholog… Show more

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Cited by 5 publications
(4 citation statements)
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“…Effect of long-term herbicide influence on Prunus serotina pollen studied Wrońska-Pilarek et al (2023).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Effect of long-term herbicide influence on Prunus serotina pollen studied Wrońska-Pilarek et al (2023).…”
Section: Resultsmentioning
confidence: 99%
“…The data of the authors on the size of the pollen grains of same plant species are variable and may vary, often depending on environmental factors or pollen treatment in the analyses. Various external factors such as air temperature, precipitation, desiccation, flood stress, drought stress, plant nutrition and effect of herbicides can influence on the size of pollen grains (Dajoz et al, 1991;Delph et al, 1997;Ejsmond et al, 2011Ejsmond et al, , 2015Yamburov et la., 2014;Mehmood et al, 2023;Wrońska-Pilarek et al, 2023).…”
Section: Introductionmentioning
confidence: 99%
“…Rank correlation is less sensitive to outliers than linear correlation because it is based on the order of the ranks rather than the exact values of the data. Correlation analysis is very often performed on forest stand data (Ahmadi et al 2020;Hyyppä et al 2000;Puliti et al 2020;Moradi et al 2022;Wrońska-Pilarek et al 2023a).…”
Section: Introductionmentioning
confidence: 99%
“…Rank correlation is less sensitive to outliers than linear correlation because it is based on the order of the ranks rather than the exact values of the data. Correlation analysis is very often performed on forest stand data [15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%