2023
DOI: 10.3390/plants12233999
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Predicting the Potential Distribution of Oxalis debilis Kunth, an Invasive Species in China with a Maximum Entropy Model

Xinsheng Qin,
Mingxin Li

Abstract: Oxalis debilis Kunth, an invasive plant native to South America, has already spread extensively throughout various regions in China including West China, East China, Central China, and South China. It poses a certain degree of damage to the local ecosystem and demonstrates significant invasive potential. Utilizing distribution information along with environmental variables such as bioclimate, soil factors, elevation, and UV-B radiation, the MaxEnt model combined with ArcGIS was employed to forecast the potenti… Show more

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Cited by 4 publications
(4 citation statements)
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“…The Jackknife test is a tool used to ensure consistent and accurate prediction of the model even in the absence of certain variables, thereby enhancing the overall validity of the model. It identifies the environmental variables influencing the distribution of species [ 51 , 52 , 53 ]. On the other hand, the response curve indicates species responses to specific environmental variables and helps identify a range of variables where species are more likely to thrive.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Jackknife test is a tool used to ensure consistent and accurate prediction of the model even in the absence of certain variables, thereby enhancing the overall validity of the model. It identifies the environmental variables influencing the distribution of species [ 51 , 52 , 53 ]. On the other hand, the response curve indicates species responses to specific environmental variables and helps identify a range of variables where species are more likely to thrive.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, the response curve indicates species responses to specific environmental variables and helps identify a range of variables where species are more likely to thrive. It also predicts the suitability of the habitat [ 51 , 53 ]. The current habitat suitability map and potential habitat suitability maps with different RCP scenarios are presented as logistic output.…”
Section: Methodsmentioning
confidence: 99%
“…To ensure the stability of the model, the model run was repeated ten times using the bootstrap method [44], and the weight of each environmental factor was measured through the jackknife technique. The findings were presented in the logistic format [18,45,46]. The outcomes were grouped into four classifications: highly suitable, moderately suitable, marginally suitable, and unsuitable habitats based on the natural discontinuity classification [47].…”
Section: Suitable Habitat Prediction and Migration Analysismentioning
confidence: 99%
“…It can scientifically predict the potential and future suitable distribution areas of species based on only the distribution data of species and environmental data, and even if the distribution data of species are small, the MaxEnt model can also obtain good prediction results. At present, MaxEnt is widely used to predict the potential niche of invasive alien plants, such as sorrel invasion in China [16], giant pigweed invasion in Europe [17] and composite invasive plants in China's suitable areas.…”
Section: Introductionmentioning
confidence: 99%