Spatial variability and climate response characteristics of chemical components of Tussilago farfara L.
Tài liệu tham khảo
Abolmaali, 2018, MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran, Ecol. Inform., 43, 116, 10.1016/j.ecoinf.2017.10.002
Bai, 2018, From quality markers to data mining and intelligence assessment: A smart quality-evaluation strategy for traditional Chinese medicine based on quality markers, Phytomedicine, 44, 109, 10.1016/j.phymed.2018.01.017
Bai, 2021, Comparative investigation on metabolites and biological activities of Paeonia ostii stamens from different geographical regions of China, Ind. Crops Prod., 172, 10.1016/j.indcrop.2021.114038
Cao, 2020, Concentrated conservation and utilization: Four medicinal crops for diabetes treatment showed similar habitat distribution patterns in China, Ind. Crops Prod., 152, 10.1016/j.indcrop.2020.112478
Chen, 2021, A review of the ethnobotanical value, phytochemistry, pharmacology, toxicity and quality control of Tussilago farfara L. (coltsfoot), J. Ethnopharmacol., 267, 10.1016/j.jep.2020.113478
Chung, 2019, Potential geo-discriminative tools to trace the origins of the dried slices of shiitake (Lentinula edodes) using stable isotope ratios and OPLS-DA, Food Chem., 295, 505, 10.1016/j.foodchem.2019.05.143
Du, 2021, Potential geographical distribution and habitat shift of the genus Ammopiptanthus in China under current and future climate change based on the MaxEnt model, J. Arid Environ., 184, 10.1016/j.jaridenv.2020.104328
Fischer, 2005, Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990-2080, Philos. Trans. R. Soc. Lond. B Biol. Sci., 360, 2067, 10.1098/rstb.2005.1744
Granato, 2018, Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective, Trends Food Sci. Technol., 72, 83, 10.1016/j.tifs.2017.12.006
Guan, 2022, Potential distribution of Blumea balsamifera in China using MaxEnt and the ex situ conservation based on its effective components and fresh leaf yield, Environ. Sci. Pollut. Res. Int., 29, 44003, 10.1007/s11356-022-18953-1
HamadAmin, 2023, Mapping Impacts of Climate Change on the Distributions of Two Endemic Tree Species under Socioeconomic Pathway Scenarios (SSP), Sustainability, 15, 5469, 10.3390/su15065469
Hortal, 2010, Understanding (insect) species distributions across spatial scales, Ecography, 33, 51, 10.1111/j.1600-0587.2009.06428.x
Jayasinghe, 2019, Modeling the climate suitability of tea [Camellia sinensis(L.) O. Kuntze] in Sri Lanka in response to current and future climate change scenarios, Agric. . Meteorol., 272–273, 102, 10.1016/j.agrformet.2019.03.025
Kumar, 2022, Modeling the effect of climate change on the distribution of threatened medicinal orchid Satyrium nepalense D. Don in India, Environ. Sci. Pollut. Res. Int., 29, 72431, 10.1007/s11356-022-20412-w
Lan, 2022, Potential distribution of three types of ephemeral plants under climate changes, Front Plant Sci., 13, 10.3389/fpls.2022.1035684
Leanza, 2021, A combined MaxEnt and GIS‐based methodology to estimate cactus pear biomass distribution: application to an area of southern Italy, Biofuels Bioprod. Biorefin., 16, 54, 10.1002/bbb.2304
Li, 2019, Maxent modelling for predicting climate change effects on the potential planting area of tuber mustard in China, J. Agric. Sci., 157, 375, 10.1017/S0021859619000686
Li, 2019, Quality markers of traditional Chinese medicine: concept, progress, and perspective, Engineering, 5, 888, 10.1016/j.eng.2019.01.015
Li, 2022, Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling, Environ. Sci. Pollut. Res. Int., 29, 21751, 10.1007/s11356-021-17294-9
Li, 2018, Challenge of quality evaluation of traditional Chinese medicinal materials and application progress on metabolomic approach in its quality valuation, Chin. Tradit. Herb. Drugs, 49, 2221
Liu, 2022, Habitat shifts of Jatropha curcas L. in the Asia-Pacific region under climate change scenarios, Energy, 251, 10.1016/j.energy.2022.123885
Liu, 2021, Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China, Ecol. Inform., 63, 10.1016/j.ecoinf.2021.101324
Liu, 2023, Chemical fingerprinting and multivariate analysis of Paeonia ostii leaves based on HPLC-DAD and UPLC-ESI-Q/TOF-MS/MS, Microchem. J., 184, 10.1016/j.microc.2022.108169
Liu, 2018, A novel concept of Q-markers: Molecular connectivity index, Phytomedicine, 45, 36, 10.1016/j.phymed.2018.03.015
Liu, 2020, The scientific elucidation of daodi medicinal materials, Chin. Med., 15, 86, 10.1186/s13020-020-00367-1
Mai, 2023, Modeling and predicting the effects of climate change on cotton-suitable habitats in the Central Asian arid zone, Ind. Crops Prod., 191, 10.1016/j.indcrop.2022.115838
Phillips, 2008, Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation, Ecography, 31, 161, 10.1111/j.0906-7590.2008.5203.x
Phillips, 2006, Maximum entropy modeling of species geographic distributions, Ecol. Model., 190, 231, 10.1016/j.ecolmodel.2005.03.026
Qi, 2019, Chemical comparison of the stems and leaves of Tussilago farfara L, Using NMR-Based Metab. Chin. Pharm. J., 54, 608
Shao, 2022, Identifying the natural reserve area of Cistanche salsa under the effects of multiple host plants and climate change conditions using a maximum entropy model in Xinjiang, China, Front Plant Sci., 13, 10.3389/fpls.2022.934959
Shen, 2021, Development of chromatographic technologies for the quality control of Traditional Chinese Medicine in the Chinese Pharmacopoeia, J. Pharm. Anal., 11, 155, 10.1016/j.jpha.2020.11.008
Shen, 2022, Predicting the impact of climate change on the distribution of two relict Liriodendron species by coupling the MaxEnt model and actual physiological indicators in relation to stress tolerance, J. Environ. Manag., 322, 10.1016/j.jenvman.2022.116024
Shi, 2022, Comprehensive quality appraisal of flower buds of Tussilago farfara from 39 populations in Gansu province and analysis of affecting factors, Chin. Tradit. Herb. Drugs, 53, 3784
Soilhi, 2022, Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model, Ecol. Inform., 68, 10.1016/j.ecoinf.2021.101533
Swets, 1988, Measuring the accuracy of diagnostic systems, Science, 240, 1285, 10.1126/science.3287615
Tao, 2023, Predicting the changes in suitable habitats for six common woody species in Central Asia, Int. J. Biometeorol., 67, 107, 10.1007/s00484-022-02389-w
Wei, 2021, Chinese caterpillar fungus (Ophiocordyceps sinensis) in China: Current distribution, trading, and futures under climate change and overexploitation, Sci. Total Environ., 755, 10.1016/j.scitotenv.2020.142548
Wiltshire, 2020, Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species, Ecol. Model., 429, 109071, 10.1016/j.ecolmodel.2020.109071
Xu, 2022, Effects of geographical location and environmental factors on metabolite content and immune activity of Echinacea purpurea in China based on metabolomics analysis, Ind. Crops Prod., 189, 10.1016/j.indcrop.2022.115782
Yang, 2018, Discriminant analysis of raw and honey baked Farfarae Flos from different regions by HPLC fingerprint analysis combined with chemical pattern recognition Chin Tradit Herbal, Drugs, 49, 4991
Zhao, 2017, Modeling impacts of climate change on the geographic distribution of medicinal plant Fritillaria cirrhosa D. Don, Plant Biosyst., 152, 349, 10.1080/11263504.2017.1289273
Zhao, 2022, Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China, Sci. Total Environ., 842, 10.1016/j.scitotenv.2022.156867