Response of the invasive plant Ailanthus altissima (Mill.) Swingle and its two important natural enemies (Eucryptorrhynchus scrobiculatus (Motschulsky) and E. brandti (Harold)) to climate change

Ding, Weicheng; Li, Hongyu; Wen, Junbao

doi:10.1016/j.ecolind.2022.109408

Cited by 5 publications

(8 citation statements)

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“…these models due to its superior predictive performance [5,45,46]. It is effective even when few occurrence records are known and the association between climatic and environmental elements is unpredictable [6,44,47].…”

Section: Occurrence Recordsmentioning

confidence: 99%

“…To eliminate multivariate collinearity, we utilized ENMTools to evaluate the correlation coefficients of the bioclimatic variables. Finally, we kept several meaningful bioclimatic variables for each research species based on the correlation coefficient of the bioclimatic variables (|r| > 0.8) and the contribution of each bioclimatic variable (Supplementary Figure S1) [6,45,48].…”

Section: Environmental Factor Variablesmentioning

confidence: 99%

“…The regularization multiplier (RM) and feature classes (FCs) are the two most important parameters of the Maxent model, aside from occurrence records and associated bioclimatic variables. A suitable combination of these elements can raise the sensitivity of the model while lowering the risk of overfitting [45,53]. The Maxent model's parameters were calibrated using the R 3.6.3 "Kuennm" package to determine the ideal model tuning settings for each research species.…”

Section: Model Simulation Optimization and Evaluationmentioning

confidence: 99%

“…D values range from 0 (no overlap) to 1 (more than 0.6 indicates significant overlap) [48,62,63]. Additionally, we used ArcGIS 10.4.1 to identify the homologous distribution areas of the three species and mapped the overlapping areas of the species niches under various conditions [43,45].…”

Section: Niche Overlap Analysismentioning

confidence: 99%

“…Currently, niche models like the Maxent (Maximum Entropy) model [37], ENFA (Ecological Niche Factor Analysis) model [38], CLIMEX (Climate Change Experiment) [39], and GARP (Genetic Algorithm for Rule-set Production) model [40] and GLMs (Generalized Linear Models) [41] are widely used to simulate and predict the appropriate areas of fungal diseases [5,[42][43][44]. The Maxent modeling approach is widely utilized among these models due to its superior predictive performance [5,45,46]. It is effective even when few occurrence records are known and the association between climatic and environmental elements is unpredictable [6,44,47].…”

Section: Introductionmentioning

confidence: 99%

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Comparative Assessment of Habitat Suitability and Niche Overlap of Three Cytospora Species in China

Yan,

Hao,

Sha

et al. 2024

JoF

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The plant pathogenic fungus Cytospora is notoriously known for causing woody plant canker diseases, resulting in substantial economic losses to biological forests and fruit trees worldwide. Despite their strong negative ecological impact, the existing and prospective distribution patterns of these plant pathogens in China, according to climate change, have received little attention. In this study, we chose three widely dispersed and seriously damaging species, namely, Cytospora chrysosperma, Cytospora mali, and Cytospora nivea, which are the most common species that damage the Juglans regia, Malus domestica, Eucalyptus, Pyrus sinkiangensis, Populus spp., and Salix spp. in China. We utilized ecological niche modeling to forecast their regional distribution in China under four climate change scenarios (present, SSP 126, SSP 370, and SSP 585). The results show that temperature-related climate factors limit the current distribution ranges of the three species. Currently, the three studied species are highly suitable for northeast, northwest, north, and southwest China. Under future climate scenarios, the distribution ranges of the three species are projected to increase, and the centers of the adequate distribution areas of the three species are expected to shift to high-latitude regions. The three species coexist in China, primarily in the northwest and north regions. The ecological niches of C. chrysosperma and C. nivea are more similar. The distribution range of C. mali can reach the warmer and wetter eastern region, whereas C. chrysosperma and C. nivea are primarily found in drought-prone areas with little rainfall. Our findings can help farmers and planners develop methods to avoid the spread of Cytospora spp. and calculate the costs of applying pesticides to reduce contamination and boost yields.

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Section: Occurrence Recordsmentioning

confidence: 99%

Section: Environmental Factor Variablesmentioning

confidence: 99%

Section: Model Simulation Optimization and Evaluationmentioning

confidence: 99%

Section: Niche Overlap Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative Assessment of Habitat Suitability and Niche Overlap of Three Cytospora Species in China

Yan,

Hao,

Sha

et al. 2024

JoF

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Distribution patterns of Phytoseiulus persimilis in response to climate change

Li,

Liu

2024

Pest Management Science

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BackgroundThe biological control agent Phytoseiulus persimilis is a commercialized specialist predator of two agricultural pest mite species Tetranychus urticae and Tetranychus evansi. Biocontrol of these pest species by P. persimilis has achieved success in biological control in some areas. However, the lack of precise information about the influence of global climate change on the worldwide distribution of this biocontrol agent hampers international efforts to manage pest mites with P. persimilis. With 276 occurrence records and 19 bioclimatic variables, this study investigated the potential global distribution of P. persimilis.ResultsThe results demonstrated that the Maximum Entropy (MaxEnt) model performed well, with the area under the curve being 0.956, indicating the high accuracy of this model. Two variables, the minimum temperature of the coldest month (Bio_6) and precipitation of the coldest quarter (Bio_19) were the most important environmental variables that influenced the distribution of P. persimilis, contributing more than 30% to the model, respectively. The suitable area currently occupies 21.67% of the world's land area, spanning latitudes between 60°S and 60°N. Under shared socio‐economic pathway (SSP) 5‐8.5 (high‐carbon emissions), the low suitable area would increase by 1.31% until the 2050s.ConclusionThis study successfully identified that south‐eastern China, parts of countries in the Mediterranean coastal regions, including Libya, Algeria, Portugal, Spain, and France, are climatically favorable regions for P. persimilis, providing valuable information about the potential areas where it can be effectively exploited as biocontrol agents in classical biological control programs to manage pest spider mites environmentally friendly. © 2024 Society of Chemical Industry.

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Genetic differences among Ailanthus altissima collections across and outside Italy by a Citizen science approach and their susceptibility to the candidate mycoherbicide Verticillium dahliae Kleb.

et al. 2023

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Response of the invasive plant Ailanthus altissima (Mill.) Swingle and its two important natural enemies (Eucryptorrhynchus scrobiculatus (Motschulsky) and E. brandti (Harold)) to climate change

Cited by 5 publications

References 53 publications

Comparative Assessment of Habitat Suitability and Niche Overlap of Three Cytospora Species in China

Comparative Assessment of Habitat Suitability and Niche Overlap of Three Cytospora Species in China

Distribution patterns of Phytoseiulus persimilis in response to climate change

Genetic differences among Ailanthus altissima collections across and outside Italy by a Citizen science approach and their susceptibility to the candidate mycoherbicide Verticillium dahliae Kleb.

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