Global potential distribution prediction of Xanthium italicum based on Maxent model.
TLDR
In this paper, the Maxent model was used to predict current and future climatic conditions to estimate the potential global distribution of the invasive plant Xanthium italicum, and the prediction result of this model was excellent.Abstract:
Alien invasive plants pose a threat to global biodiversity and the cost of control continues to rise. Early detection and prediction of potential risk areas are essential to minimize ecological and socio-economic costs. In this study, the Maxent model was used to predict current and future climatic conditions to estimate the potential global distribution of the invasive plant Xanthium italicum. The model consists of 366 occurrence records (10 repeats, 75% for calibration and 25% for verification) and 10 climate prediction variables. According to the model forecast, the distribution of X. italicum was expected to shrink in future climate scenarios with human intervention, which may be mainly caused by the rise in global average annual temperature. The ROC curve showed that the AUC values of the training set and the test set are 0.965 and 0.906, respectively, indicating that the prediction result of this model was excellent. The contribution rates of annual mean temperature, monthly mean diurnal temperature range, standard deviation of temperature seasonal change and annual average precipitation to the geographical distribution of X. italicum were 65.3%, 11.2%, 9.0%, and 7.7%, respectively, and the total contribution rate was 93.2%. These four variables are the dominant environmental factors affecting the potential distribution of X. italicum, and the influence of temperature is greater than that of precipitation. Through our study on the potential distribution prediction of X. italicum under the future climatic conditions, it has contribution for all countries to strengthen its monitoring, prevention and control, including early warning.read more
Citations
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References
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Glomus mosseae promotes Xanthium italicum invasion
TL;DR: It is found that the relative chlorophyll content and net photosynthetic rate of the leaves of potted X. italicum whose rhizosphere soil was supplemented with G. mosseae was higher than those of the control group, suggesting an enhanced reproductive capacity in the former.
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Landslide susceptibility mapping using Genetic Algorithm for the Rule Set Production (GARP) model.
TL;DR: In this paper, a new model known as genetic algorithm for the rule set production (GARP) was applied in order to assess its efficacy to obtain a better result and a more precise landslide susceptibility map in Klijanerestagh area of Iran.
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Potential distribution of aquatic invasive alien plants, Eichhornia crassipes and Salvinia molesta under climate change in Sri Lanka
Champika S. Kariyawasam,Champika S. Kariyawasam,Lalit Kumar,Sujith S. Ratnayake,Sujith S. Ratnayake +4 more
TL;DR: In this article, the MaxEnt species distribution modeling technique was used to generate predictive models using global distribution data and environmental variables, and the mean of two best performing climate models was used under two emissions scenarios, Representative Concentration Pathways (RCP) 4.5 and 8.5 for time periods 2050 and 2070.
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Genetic diversity and genetic differentiation of invasive weed Xanthium italicum in China.
Jie-Shi Tang,Miao Ma +1 more
TL;DR: The results revealed the high genetic diversity of X. italicum, which may help explain its invasion success in China, and the estimated gene flow and Mantel test indicated that genetic differentiation in the populations may primarily come from genetic drift and anthropogenic activities.