Niche shifts and the potential distribution of Phenacoccus solenopsis (Hemiptera: Pseudococcidae) under climate change

Wei, Jiufeng; Zhang, Hufang; Zhao, Wanqing; Zhao, Qing

doi:10.1371/journal.pone.0180913

Cited by 45 publications

(45 citation statements)

References 62 publications

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“…In China, it was first reported in Guangdong province in 2008 (Lu, Zeng, Wang, Xu, & Chen, 2008; Wu & Zhang, 2009). Within ten years, it had rapidly spread to many areas of China and reached its predicted distribution range, posing a severe threat to cotton production (Wei et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Rapid and strong population genetic differentiation and genomic signatures of climatic adaptation in an invasive mealybug

Cao

Hoffmann

et al. 2020

Diversity and Distributions

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Aim A growing number of studies suggest that adaptation of invasive species plays key roles in their successful establishment in novel environments. However, adaptation of invasive species to climatic conditions remains poorly characterized. This study aimed to understand the population genetic structure produced by the cotton mealybug Phenacoccus solenopsis invasion and to identify preliminary signals of selection during its range expansion. Location China. Methods We examined genetic structure of 11 populations across China using SNPs, microsatellites and a segment of mitochondrial cox1 gene. ADMIXTURE, STRUCTURE and DAPC were used to infer population genetic structure; the dispersal routes were reconstructed by the DIYABC; SNPs potentially related to climate adaptation were identified by using four populations differentiation methods and three environmental association methods. Results Strong genetic differentiation was found among populations with FST values ranging from 0.097 to 0.640 based on SNPs. Populations located at the northern expansion edge exhibited the highest genetic differentiation and the lowest genetic diversity. Demographic analyses indicated that all populations were introduced from a single source population with small effective size and low recent gene flow. RDA analysis showed that climatic variables explained a higher proportion of genetic variance (43%) compared to population structure variables (15%). The top climatic variables associated with genetic differentiation were precipitation of the mean temperature of warmest quarter, mean temperature of driest quarter and isothermality. Genes related to climate candidate SNPs were mainly enriched to pathways of development, energy and xenobiotic metabolisms. Main conclusions We found that extremely rapid and strong population genetic differentiation among populations appears to have developed after introduction in the cotton mealybug. Our study points to rapid neutral evolution and suggests possible climatic adaptation despite low genetic diversity in this invasive species.

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Section: Introductionmentioning

confidence: 99%

Rapid and strong population genetic differentiation and genomic signatures of climatic adaptation in an invasive mealybug

Cao

Hoffmann

et al. 2020

Diversity and Distributions

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“…The current map of P. pentagona predicted potential distribution suggests that it has a wider distribution range than other species known potential distribution areas, such as P. solenopsis [34] and P. madeirensis Green [45]. Due to one of the most complex feeding habitats in Diaspididae [56], it will have a significantly larger distribution range in the future compared to other scale insects, and more harmful.…”

Section: Discussionmentioning

confidence: 99%

“…Risk map outlines the suitability of new species invasion areas, and can be used to prevent or control invasion. However, methods used to develop risk maps are variable and have not been standardized [34]. Previous studies have focused on the biological characteristics and damages caused by P. pentagona, and currently we do not know the predicted distribution area for this species [13,35].…”

Section: Introductionmentioning

confidence: 99%

The Potential Global Distribution of the White Peach Scale Pseudaulacaspis pentagona (Targioni Tozzetti) under Climate Change

Zhao

Cheng

et al. 2020

Forests

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The white peach scale Pseudaulacaspis pentagona (Hemiptera: Diaspididae) is a pest that causes significant damage to more than 221 genera of host plants in more than 112 countries. P. pentagona primarily feeds on mulberry, peach, and tea, and this leads to the loosening of the epidermis of trees, which damages nutrient and water transportation in the branches, leading to branch death. P. pentagona is native to China and Japan, and has become an invasive species all over the world. However, the potential distribution of P. pentagona remains unclear. In this study, a potential distribution map of P. pentagona was developed using current and future climate information using MaxEnt. The model indicates that Asia, Europe, South America and North America are a highly suitable habitat range for this species. The MaxEnt models for the potential distribution of P. pentagona for the 2050s and 2070s suggest that in the case of no significant increase or even decrease in the highly suitable area, the suitable area increased significantly on any future climatic scenarios. The predicted area gain in the suitable habitat is 2.82 × 10 7 km 2 , including more of Asia, such as China, Japan, and Mongolia, and also including India, in Europe, which shows an increase of 24.5% over the current habitat on RCP8.5 emission scenarios for the 2070s. With the warming of the climate, significant expansions are predicted in the suitable area, especially in Europe and East Asia. Under RCP8.5 for the 2050s, the model-predicted that the area of suitable habitat in China and the Korean Peninsula gains an increase of 18.8% over the current suitable habitat area. Under other climate scenarios, RCP8.5-2070s, the suitable areas were the largest, compared to projection for the current climate scenario (ca. 24.1% increase) which increased to 7.89 × 10 6 km 2 . In Europe, under RCP8.5 for the 2070s, the highly suitable areas were the largest, compared to the projection for the current climate scenario (ca. 46.2% increase), which increased to 8.64 × 10 5 km 2 , the area of suitable habitat suitability increased to 4.99 × 10 6 km 2 (29.2% increase of the current condition). Potential increases or decreases in distribution ranges were modeled under future climatic scenarios. This study suggests that the most important factor that influenced current distribution of this pest was temperature, and BIO3 (isothermality) was the most important factor that contributed to 48.6% of the potential distribution map. Given the rapid spread of P. pentagona and the serious risk this species poses to local ecosystems, warning modelling and practical strategies to prevent the establishment and expansion of this species should be sought. This distribution map will help governments to identify areas that are suitable for current and future infestations, and to optimize pest management strategies.

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“…The climate scenarios for 2050 represent averages for 2041-2060 while the scenarios for 2070 represent averages for 2061-2080 (IPCC2013). The RCPs used in this study signify two possible greenhouse emission scenarios ranging from moderate (RCP 6.0) to high (RCP 8.5); corresponding to increases in global radiative values in the year 2100 relative to preindustrial values (6.0 and 8.5 w/m 2 , respectively) (Wei et al 2017). This study assumed that human population density and land cover will remain constant in the future as such they were not projected to 2050 and 2070, however all the other variables were projected to 2050 and 2070.…”

Section: Climate Scenariosmentioning

confidence: 99%

“…Predictions of potential current and future distribution of V. niloticus were made using MaxEnt version 3.3.3; a software based on maximum entropy method (Phillips et al 2006). MaxEnt was chosen for this study because it has proven to perform better among species distribution modeling algorithms using presence only datasets (Elith et al 2006;Wei et al 2017). MaxEnt models for all the species were calibrated with similar settings.…”

Section: Modelling the Distribution Of Nile Monitor Using Maxentmentioning

confidence: 99%

Present and Future Suitability of the Lake Tana Biosphere Reserve (LTBR) in Ethiopia for the Nile monitor (Varanus niloticus) using the MaxEnt Mode

Ejigu

Tassie

2020

Preprint

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BackgroundThe Nile monitor (Varanus niloticus) is a reptile native to Sub-Saharan Africa along the Nile River. The species inhabits a wide variety of habitats including woodlands, grasslands, mangroves, and swamps. Although the practice is not common in the Lake Tana Biosphere Reserve (LTBR) , the species is being hunted in Sahelian Africa for its leather, food, pet trade and fat-content. Consequently, the species is listed under the Convention on International Trade in Endangered Species. MethodsData collection was based on original onsite GIS aided presence recording. Each record of the species was first vetted for data quality. A multicollinearity analysis was conducted before fitting the MaxEnt model to the 19 bioclimatic variables. Since it provides good coverage for Africa, the Hadley Global Environment Model 2-Atmosphere Ocean (HadGEM2-AO) model was used for extracting future climate scenarios. The jackknife test was selected to measure the contribution of each environmental variable to the MaxEnt model for the species. Area under the curve of the receiver operating characteristic was used to evaluate the performance of MaxEnt model. Resultson average 2750 individuals were recorded within the LTBR. Mean annual temperature, precipitation and temperature were the most important predictors that limit the potential distribution of V. niloticus. Most of its suitable habitats were mainly predicted in the northern and southern parts of the Lake. The ecological niche model produced an average AUC of 0.85. Notable records of the species were found in the vicinity of the lake and wetlands nearby. Future projection of potential suitable areas revealed that the currently available suitable area will decline in both 2050 and 2070 under both RCP 6.5 and RCP 8.5, of which the decline in suitable area under the business as usual scenario is the greatest. ConclusionsThe potential distribution map for V. niloticus can help in planning land use management around its existing habitat range, discover new populations or set priorities to restore its natural habitat for more effective conservation. Extensive reductions in the amount of suitable areas under future climate scenarios suggest that the species may become threatened in future if effective conservation measures are not implemented.

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Niche shifts and the potential distribution of Phenacoccus solenopsis (Hemiptera: Pseudococcidae) under climate change

Cited by 45 publications

References 62 publications

Rapid and strong population genetic differentiation and genomic signatures of climatic adaptation in an invasive mealybug

Rapid and strong population genetic differentiation and genomic signatures of climatic adaptation in an invasive mealybug

The Potential Global Distribution of the White Peach Scale Pseudaulacaspis pentagona (Targioni Tozzetti) under Climate Change

Present and Future Suitability of the Lake Tana Biosphere Reserve (LTBR) in Ethiopia for the Nile monitor (Varanus niloticus) using the MaxEnt Mode

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