2023
DOI: 10.3390/insects14010048
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Future Trends in Obolodiplosis robiniae Distribution across Eurasian Continent under Global Climate Change

Abstract: Obolodiplosis robiniae was discovered in Eurasia at the beginning of the 21st century. In this study, we explore the present and future (in the years 2050 and 2070) trends in the potential distribution of O. robiniae in Eurasia under diverse climate change scenarios based on a maximum entropy model. Our findings indicated that the current potential distribution area of O. robiniae is within the range of 21°34′ and 65°39′ N in the Eurasian continent. The primary factor controlling the distribution of O. robinia… Show more

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Cited by 4 publications
(6 citation statements)
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“…Identifying different potential suitable areas during species distribution modeling is crucial for understanding the possibilities and changes in species distribution [ 40 ]. However, the transformation of suitable areas with different suitability levels under climate change has been overlooked in many studies on species distribution modeling.…”
Section: Discussionmentioning
confidence: 99%
“…Identifying different potential suitable areas during species distribution modeling is crucial for understanding the possibilities and changes in species distribution [ 40 ]. However, the transformation of suitable areas with different suitability levels under climate change has been overlooked in many studies on species distribution modeling.…”
Section: Discussionmentioning
confidence: 99%
“…The distribution characteristics of the points are predominately distributed in North America (99.80%), especially in the southern United States. To avoid deviation of this sampling and evenly collect occurrence data, we used the SDMtoolbox v2.4 in ArcGIS to analyze the climate heterogeneity, screened 145 occurrence data, and eliminated local spatial clusters 66 . The use of more representative samples often leads to a higher prediction accuracy 67 .…”
Section: Discussionmentioning
confidence: 99%
“…To avoid deviation of this sampling and evenly collect occurrence data, we used the SDMTOOLBOX v2.4 in ArcGIS to analyze the climate heterogeneity, screened 145 occurrence data, and eliminated local spatial clusters. 66 The use of more representative samples often leads to a higher prediction accuracy. 67 We used R software to remove redundant climate data, optimize model parameters, improve model accuracy and bring the predictions closer to reality.…”
Section: Reliability Of the Maxent Modelmentioning
confidence: 99%
“…The penetration of invasive alien species and especially their acclimatization (many of them being slightly thermophilic) on the European continent is also facilitated by climate change, especially by the phenomenon of global warming, which directly affects their survival, fecundity, development and dispersal (Hrubík and Kollár, 2007;Roques, 2010 b;Zhao et al, 2023). There have been increases in average annual temperatures at some weather stations by about 1 °C.…”
Section: Invasive Alien Speciesmentioning
confidence: 99%
“…The latest European report is from Armenia, where the species was detected in 2019 (Gubin, 2021). Obolodiplosis robiniae is within the range of 21°34′ and 65°39′ N in the Eurasian continent (Zhao et al, 2023).…”
Section: Obolodiplosis Robiniae Obolodiplosis Robiniae Obolodiplosis ...mentioning
confidence: 99%