2019
DOI: 10.1002/ps.5684
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Potential distribution of two invasive pineapple pests under climate change

Abstract: BACKGROUND The number of global invasive species has significantly increased during the past two centuries due to globalization. The understanding of species invasion under climate change is crucial for sustainable biodiversity conservation, community dynamics, ecosystem function, and resource distribution. Two invasive species, Dysmicoccus brevipes (Cockerell) and D. neobrevipes (Beardsley) have greatly expanded their ranges during recent years. These insects are now considered as extremely serious pests for … Show more

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Cited by 43 publications
(62 citation statements)
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“…MaxEnt is one of the mostly frequently used software packages to predict the suitability for spatial occurrence of a species by machine-learning algorithm [15]. It is confirmed to be relatively robust using small numbers of occurrence records [16].…”
Section: Modeling Methods and Statistical Analysismentioning
confidence: 99%
“…MaxEnt is one of the mostly frequently used software packages to predict the suitability for spatial occurrence of a species by machine-learning algorithm [15]. It is confirmed to be relatively robust using small numbers of occurrence records [16].…”
Section: Modeling Methods and Statistical Analysismentioning
confidence: 99%
“…There are many indices applied to model evaluation, such as the area under the curve of the receiver operating characteristic (AUC), kappa statistic (kappa), and the true skill statistic (TSS) [ 65 ]. Although AUC is widely used, it can neither provide information on the spatial distribution of model errors nor weigh omission and commission errors equally [ 50 , 66 , 67 ]. To handle this problem, the partial AUC (pAUC) was applied to assess model performance.…”
Section: Methodsmentioning
confidence: 99%
“…Climatic and topographic variables are used to characterize species niches in multivariate environmental space [48]. In a large spatial scale, climatic variables are considered as the primary factors to determine species niches [49,50]. In this study, 20 environmental variables including 19 bioclimatic variables (bio1-bio19) and one elevation data (altitude) for both current and future scenarios (Table S2) were downloaded from the WorldClim database (https://www.worldclim.org/) with 2.5 arc-minute spatial resolution (about 5 km at the equator).…”
Section: Environmental Variablesmentioning
confidence: 99%
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“…It is also possible to combine data from multiple measurement scales without making statistical assumptions, thus helping to stimulate natural phenomena with non-linear relationships (Phillips, 2005;Kramer-Schadt et al, 2013;Phillips et al, 2017). In recent years, the MaxEnt model has been widely used in the analysis of invasive alien species and the study of the suitability of Chinese medicinal materials, and has achieved good prediction results (Fan et al, 2019;Huang et al, 2019;Tang et al, 2019;Wei et al, 2019). Although the MaxEnt model has some shortcomings, it has high performance and accuracy in modeling, high operational modeling capabilities, and a very friendly interactive interface.…”
Section: Significance Of Model Predictions and Comparison With Previomentioning
confidence: 99%