Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios

Лю, Лэй; Zhang, Yuanyuan; Huang, Yi; Zhang, Jindong; Mou, Qiuyu; Qiu, Jian-Yue; Wang, Rulin; Li, Yujie; Zhang, Dequan

doi:10.1007/s11356-021-17338-0

Cited by 22 publications

(14 citation statements)

References 43 publications

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“…3 ). In terms of the survival areas with moderate and high suitability, the threshold (≥ 0.5) was chosen for the main bioclimatic parameters 50 , since plants live comfortably in such conditions. The existence probability of three Fritillaria species was shown to initially increase, after which it decreased with a rise in environmental factors.…”

Section: Resultsmentioning

confidence: 99%

Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change

Huang,

An,

Huang

et al. 2023

Sci Rep

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The Fritillaria species ranked as a well-known traditional medicine in China and has become rare due to excessive harvesting. To find reasonable strategy for conservation and cultivation, identification of new ecological distribution of Fritillaria species together with prediction of those responses to climate change are necessary. In terms of current occurrence records and bioclimatic variables, the suitable habitats for Fritillaria delavayi, Fritillaria taipaiensis, and Fritillaria wabuensis were predicted. In comparison with Maxent and GARP, Biomod2 obtained the best AUC, KAPPA and TSS values of larger than 0.926 and was chosen to construct model. Temperature seasonality was indicated to put the greatest influence on Fritillaria taipaiensis and Fritillaria wabuensis, while isothermality was of most importance for Fritillaria delavayi. The current suitable areas for three Fritillaria species were distributed in south-west China, accounting for approximately 17.72%, 23.06% and 20.60% of China's total area, respectively. During 2021–2100 period, the suitable habitats of F. delavayi and F. wabuensis reached the maximum under SSP585 scenario, while that of F. taipaiensis reached the maximum under SSP126 scenario. The high niche overlap among three Fritillaria species showed correlation with the chemical composition (P ≤ 0.05), while no correlation was observed between niche overlap and DNA barcodes, indicating that spatial distribution had a major influence on chemical composition in the Fritillaria species. Finally, the acquisition of species-specific habitats would contribute to decrease in habitat competition, and future conservation and cultivation of Fritillaria species.

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Section: Resultsmentioning

confidence: 99%

Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change

Huang,

An,

Huang

et al. 2023

Sci Rep

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“…MaxEnt is currently the most widely used SDM, and many studies have demonstrated its reliability in predicting species distributions (Ancillotto et al, 2019;Ab Lah et al, 2021;Tang et al, 2021). In China, such research on the suitable distribution area of invasive species, such as Sporobolus alterniflorus, Flaveria bidentis, and Ageratina adenophora, provides an important reference in the control of biological invasions and the protection of biodiversity (Yuan et al, 2021;Liu et al, 2022b;Wei et al, 2022). In terms of natural grassland protection in China, research on the suitable distribution area of Pedicularis kansuensis, for example, has provided strong support for grassland managers to deal with the large-scale spread of poisonous plants in natural grasslands and reduce the risk of invasion (Wang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Prediction of the potentially suitable areas of Ligularia virgaurea and Ligularia sagitta on the Qinghai–Tibet Plateau based on future climate change using the MaxEnt model

Dong

Hua

et al. 2023

Front. Plant Sci.

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Ligularia virgaurea and Ligularia sagitta are two species of poisonous plants with strong invasiveness in natural grasslands in China that have caused considerable harm to animal husbandry and the ecological environment. However, little is known about their suitable habitats and the key environmental factors affecting their distribution. Although some studies have reported the distributions of poisonous plants on the Qinghai–Tibet Plateau (QTP) and predicted their potential distributions at local scales in some regions under climate change, there have been few studies on the widespread distributions of L. virgaurea and L. sagitta. In this study, we recorded 276 and 118 occurrence points of L. virgaurea and L. sagitta on the QTP using GPS, and then used the MaxEnt model to predict the distribution of suitable habitats. Results showed that (1) under current climate conditions, L. virgaurea and L. sagitta are mainly distributed in southern Gansu, eastern Qinghai, northwestern Sichuan, eastern Tibet, and southwestern Yunnan, accounting for approximately 34.9% and 39.8% of the total area of the QTP, respectively; (2) the main environmental variables affecting the distribution of suitable habitats for L. virgaurea and L. sagitta are the Human Footprint Index (52.8%, 42.2%), elevation (11%, 4.4%), soil total nitrogen (18.9%, 4.2%), and precipitation seasonality (5.1%, 7.3%); and (3) in the future, in the 2050s and 2070s, the area of habitat of intermediate suitability for L. virgaurea will spread considerably in northwest Sichuan, while that of high suitability for L. sagitta will spread to eastern Tibet and western Sichuan.

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“…Among them, alkaloids, as the main active ingredient, have been illustrated to exert significant therapeutic effects on many diseases. The content of isosteroidal alkaloids in cultivated and wild products, on the other hand, varies depending on the growing environment 18 and plucking time 19 – 21 . The quality of traditional Chinese medicine is linked to its efficacy and safety.…”

Section: Introductionmentioning

confidence: 99%

A distinction between Fritillaria Cirrhosa Bulbus and Fritillaria Pallidiflora Bulbus via LC–MS/MS in conjunction with principal component analysis and hierarchical cluster analysis

Liu

Tse³

et al. 2023

Sci Rep

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Fritillaria Cirrhosa Bulbus (known as chuanbeimu in Chinese, FCB) is one of the most used Chinese medicines for lung disease. However, a variety of substitutes have entered the market, with Fritillaria Pallidiflora Bulbus (FPB) being the most common. Due to their similarity in appearance, morphology, and chemical composition but a large price difference, the FCB has frequently been adulterated with the FPB, posing a serious challenge to the distinction and quality of the FCB. Therefore, we aimed to distinguish FCB and FPB based on their main nine isosteroidal alkaloid contents and test the potential of chemometrics as a discrimination approach for evaluating quality. The nine major isosteroidal alkaloids were measured using a liquid chromatography with tandem mass spectrometry (LC–MS/MS) approach in 41 batches of FCB and 17 batches of FPB. Additionally, they were categorized and distinguished using the methods of hierarchical cluster analysis (HCA) and principal component analysis (PCA). Quantitative analysis revealed that the nine alkaloids were present in different amounts in the two types of Fritillariae bulbus. In FCB, the highest amount was peimisine (17.92–123.53 μg/g) and the lowest was delavine (0.42–29.18 μg/g), while in FPB, imperialine was higher (78.05–344.09 μg/g), but verticinone and verticine were less than the other seven alkaloids. The FCB and FPB were successfully classified and distinguished by the HCA and PCA. Taken together, the method has a good linear relationship (R2 > 0.9975). The LOD and LOQ of the nine alkaloids were in the range of 0.0651–0.6510 and 0.1953–1.9531 ng/mL, respectively. The intra- and inter-day precision were shown to be excellent, with relative standard deviations (RSDs) below 1.63% and 2.39%, respectively. The LC–MS/MS method in conjunction with HCA and PCA can effectively differentiate FCB and FPB. It may be a promising strategy for quality evaluation and control at the FCB.

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Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios

Cited by 22 publications

References 43 publications

Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change

Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change

Prediction of the potentially suitable areas of Ligularia virgaurea and Ligularia sagitta on the Qinghai–Tibet Plateau based on future climate change using the MaxEnt model

A distinction between Fritillaria Cirrhosa Bulbus and Fritillaria Pallidiflora Bulbus via LC–MS/MS in conjunction with principal component analysis and hierarchical cluster analysis

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