Identifying prioritized planting areas for medicinal plant Thesium chinense Turcz. under climate change in China

Abourashed, 2002, High-speed extraction and HPLC fingerprinting of medicinal plants–I. application to Passiflora flavonoids, Pharm. Biol., 40, 81, 10.1076/phbi.40.2.81.5844 Applequist, 2020, Scientistsʼ warning on climate change and medicinal plants, Planta Med., 86, 10, 10.1055/a-1041-3406 Bakkenes, 2002, Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050, Glob. Chang. Biol., 8, 390, 10.1046/j.1354-1013.2001.00467.x Barman, 2013, Climate change on orchid population and conservation strategies: a review, J. Crop Weed, 9, 1 Barve, 2011, The crucial role of the accessible area in ecological niche modeling and species distribution modeling, Ecol. Model., 222, 1810, 10.1016/j.ecolmodel.2011.02.011 Brinckmann, 2015, Geographical indications for medicinal plants: globalization, climate change, quality and market implications for geo-authentic botanicals, World J. Trad. Chin. Med., 1, 16, 10.15806/j.issn.2311-8571.2014.0020 Butterfield, 2017, Prestoration: using species in restoration that will persist now and into the future, Restor. Ecol., 25, S155, 10.1111/rec.12381 Cassini, 2011, Ranking threats using species distribution models in the IUCN red list assessment process, Biodivers. Conserv., 20, 3689, 10.1007/s10531-011-0126-9 Chen, 2016, Conservation and sustainable use of medicinal plants: problems, progress, and prospects, Chin. Med., 11, 1, 10.1186/s13020-016-0108-7 Chi, 2017, Threatened medicinal plants in China: distributions and conservation priorities, Biol. Conserv., 210, 89, 10.1016/j.biocon.2017.04.015 Costa, 2010, Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot, Biodivers. Conserv., 19, 883, 10.1007/s10531-009-9746-8 Dingwen, 2016, Current situation and prospects of bionic cultivation of Chinese medicinal materials, Chin. J. Inf. Trad. Chin. Med., 23, 130 Drouet, 2015, Selection of climate policies under the uncertainties in the fifth assessment report of the IPCC, Nat. Clim. Chang., 5, 937, 10.1038/nclimate2721 Dudík, 2005, Correcting sample selection bias in maximum entropy density estimation, Adv. Neural Inf. Proces. Syst., 18, 323 Elith, 2009, Species distribution models: ecological explanation and prediction across space and time, Annu. Rev. Ecol. Evol. Syst., 40, 677, 10.1146/annurev.ecolsys.110308.120159 Evans, 2015, Mechanistic species distribution modelling as a link between physiology and conservation, Conserv. Physiol., 3, 1032, 10.1093/conphys/cov056 Evcin, 2019, Habitat suitability model with maximum entropy approach for European roe deer (Capreolus capreolus) in the Black Sea region, Environ. Monit. Assess., 191, 1, 10.1007/s10661-019-7853-x Fahlén, 1997, Effects of light–temperature regimes on plant growth and essential oil yield of selected aromatic plants, J. Sci. Food Agric., 73, 111, 10.1002/(SICI)1097-0010(199701)73:1<111::AID-JSFA686>3.0.CO;2-2 Fick, 2017, WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas, Int. J. Climatol., 37, 4302, 10.1002/joc.5086 Freeman, 2008, A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa, Ecol. Model., 217, 48, 10.1016/j.ecolmodel.2008.05.015 Fresco, 1992, Time and spatial scales in ecological sustainability, Land Use Policy, 9, 155, 10.1016/0264-8377(92)90040-4 Gao, 2011, Overview of the quality standard research of traditional Chinese medicine, Front. Med., 5, 195, 10.1007/s11684-011-0134-x Guisan, 2005, Predicting species distribution: offering more than simple habitat models, Ecol. Lett., 8, 993, 10.1111/j.1461-0248.2005.00792.x Guo, 2018, Future changes in precipitation extremes over China projected by a regional climate model ensemble, Atmos. Environ., 188, 142, 10.1016/j.atmosenv.2018.06.026 Guo, 2013, Effects of ecological factors on secondary metabolites and inorganic elements of Scutellaria baicalensis and analysis of geoherblism, Sci. China Life Sci., 56, 1047, 10.1007/s11427-013-4562-5 Hajhashemi, 2011, Antinociceptive study of extracts of Platanus orientalis leaves in mice, Res. Pharma. Sci., 6, 123 Higa, 2013, Indicator plant species selection for monitoring the impact of climate change based on prediction uncertainty, Ecol. Indic., 29, 307, 10.1016/j.ecolind.2013.01.010 Hijmans, 2005, Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol., 25, 1965, 10.1002/joc.1276 Hood, 2001, The effect of soil temperature and moisture on organic matter decomposition and plant growth, Isot. Environ. Health Stud., 37, 25, 10.1080/10256010108033279 Hua, 2002, Determination of total flavonoids of thesium chinese turcz, Anhui Med. Pharma. J., 1, 112 Huang, 2011, Top-geoherbs of traditional Chinese medicine: common traits, quality characteristics and formation, Front. Med., 5, 185, 10.1007/s11684-011-0141-y Hussein, 2019, Plants secondary metabolites: the key drivers of the pharmacological actions of medicinal plants, Herbal Med., 1, 13 Kendal, 2012, A cultivated environment: exploring the global distribution of plants in gardens, parks and streetscapes, Urban Ecosyst., 15, 637, 10.1007/s11252-011-0215-2 Khanum, 2013, Predicting impacts of climate change on medicinal asclepiads of Pakistan using Maxent modeling, Acta Oecol., 49, 23, 10.1016/j.actao.2013.02.007 Kirschbaum, 2000, Forest growth and species distribution in a changing climate, Tree Physiol., 20, 309, 10.1093/treephys/20.5-6.309 Kong, 2021, Assessing the impact of climate change on the distribution of Osmanthus fragrans using Maxent, Environ. Sci. Pollut. Res., 1 Kramer-Schadt, 2013, The importance of correcting for sampling bias in MaxEnt species distribution models, Divers. Distrib., 19, 1366, 10.1111/ddi.12096 Kumar, 2012, Assessment of impact of climate change on rhododendrons in Sikkim Himalayas using Maxent modelling: limitations and challenges, Biodivers. Conserv., 21, 1251, 10.1007/s10531-012-0279-1 Kumar, 2009, Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia, J. Ecol. Nat. Environ., 1, 094 Kumar, 2009, Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia, J. Ecol. Nat. Environ., 1, 94 Laghmouchi, 2017, Effect of temperature, salt stress and pH on seed germination of medicinal plant Origanum compactum, Biocatal. Agric. Biotechnol., 10, 156, 10.1016/j.bcab.2017.03.002 Li, 2020, MaxEnt modeling to predict current and future distributions of Batocera lineolata (Coleoptera: Cerambycidae) under climate change in China, Ecoscience, 27, 23, 10.1080/11956860.2019.1673604 Li, 2019, Distinct endophytes are used by diverse plants for adaptation to karst regions, Sci. Rep., 9, 1 Li, 2021, Thesium chinense Turcz.: an ethnomedical, phytochemical and pharmacological review, J. Ethnopharmacol., 16, 113 Li, 2010, Evidence of warming and wetting climate over the Qinghai-Tibet plateau, Arct. Antarct. Alp. Res., 42, 449, 10.1657/1938-4246-42.4.449 Li, 2015, Sustainable utilization of traditional chinese medicine resources: systematic evaluation on different production modes, Evid. Based Complement. Alternat. Med., 18, 1232 Liu, 2013, Species distribution modelling for conservation planning in Victoria, Australia, Ecol. Model., 249, 68, 10.1016/j.ecolmodel.2012.07.003 Liu, 2020, Study on quality response to environmental factors and geographical traceability of wild Gentiana rigescens Franch, Front. Plant Sci., 11, 1128, 10.3389/fpls.2020.01128 Liu, 2021, Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China, Ecol. Inform., 63, 101, 10.1016/j.ecoinf.2021.101324 Liu, 2018, Artificial cultivation of true morels: current state, issues and perspectives, Crit. Rev. Biotechnol., 38, 259, 10.1080/07388551.2017.1333082 Liu, 2011, From economic development to public health improvement: China faces equity challenges, Public Health, 125, 669, 10.1016/j.puhe.2011.08.004 Liu, 2015, Influence of ecological factors on the production of active substances in the anti-cancer plant Sinopodophyllum hexandrum (Royle) TS Ying, PLoS One, 10, 10.1145/2818302 Lombard, 2020, A review of the ethnobotany, contemporary uses, chemistry and pharmacology of the genus Thesium (Santalaceae), J. Ethnopharmacol., 256, 112745, 10.1016/j.jep.2020.112745 Luo, 2012, Study on optimal germination condition of Thesium chinensis seeds, Chin. Trad. Herbal Drugs, 43, 588 Luo, 2012, Study on the biological characteristics of Thesium chinense Turcz, China J. Chin. Mate. Med., 37, 176 Luo, 2010, Influences of host species on transpiration, photosynthesis, chlorophyll and mineral contents of medicinal hemiparasite Thesium chinense Turcz, Acta Physiol. Plant., 32, 1093, 10.1007/s11738-010-0501-2 Manukyan, 2006, Influence of air temperature on productivity and quality of some medicinal plants under controlled environment conditions, Eur. J. Hortic. Sci., 71, 36 Mi, 2020, The effects of ecological factors on the chemical compounds in Lycium barbarum L, Acta Physiol. Plant., 42, 1, 10.1007/s11738-020-03069-1 Moles, 2014, Which is a better predictor of plant traits: temperature or precipitation?, J. Veg. Sci., 25, 1167, 10.1111/jvs.12190 Morales, 2017, MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review, PeerJ, 5, 10.7717/peerj.3093 Moran, 2014, Evolutionary responses to global change: lessons from invasive species, Ecol. Lett., 17, 637, 10.1111/ele.12262 Morison, 1999, Interactions between increasing CO2 concentration and temperature on plant growth, Plant Cell Environ., 22, 659, 10.1046/j.1365-3040.1999.00443.x Muscarella, 2014, ENM eval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models, Methods Ecol. Evol., 5, 1198, 10.1111/2041-210X.12261 Niggemann, 2009, Distribution patterns of plants explained by human movement behaviour, Ecol. Model., 220, 1339, 10.1016/j.ecolmodel.2009.02.018 Park, 1982, Relationship between soil moisture, organic matter and plant growth in ginseng plantations, Korean J. Soil Sci. Fertilizer, 15, 156 Phillips, 2006, Maximum entropy modeling of species geographic distributions, Ecol. Model., 190, 231, 10.1016/j.ecolmodel.2005.03.026 Piao, 2010, The impacts of climate change on water resources and agriculture in China, Nature, 467, 43, 10.1038/nature09364 Porter, 2005, Crop responses to climatic variation, Philos. Trans. Roy. Soc. B: Biol. Sci., 360, 2021, 10.1098/rstb.2005.1752 Radosavljevic, 2014, Making better Maxent models of species distributions: complexity, overfitting and evaluation, J. Biogeogr., 41, 629, 10.1111/jbi.12227 Rustad, 2008, The response of terrestrial ecosystems to global climate change: towards an integrated approach, Sci. Total Environ., 404, 222, 10.1016/j.scitotenv.2008.04.050 Sebastiá, 2004, Role of topography and soils in grassland structuring at the landscape and community scales, Basic Appl. Ecol., 5, 331, 10.1016/j.baae.2003.10.001 Sharma, 2020, Changing scenario of medicinal plants diversity in relation to climate changes: a review, Plant Arch., 20, 4389 Sharma, 2018, Modeling habitat suitability of Perilla frutescens with MaxEnt in Uttarakhand—a conservation approach, J. Appl. Res. Med. Aromatic Plants, 10, 99 Shen, 2020, The research on protection and exploitation of the rare and endangered medicinal Plant in the Three Gorges Reservoir Area, J. Coast. Res., 115, 387, 10.2112/JCR-SI115-111.1 Song, 2015, Study on the phenological period and dormant physiology of Thesium chinense Turcz, China J. Chin. Mate. Med., 23, 121 Sun, 2020, Adaptation of acupuncture and traditional Chinese herbal medicines models because of climate change, J. Stress Physiol. Biochem., 16 Syfert, 2013, The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models, PLoS One, 8, 10.1371/annotation/35be5dff-7709-4029-8cfa-f1357e5001f5 Tang, 2020, How climate change will alter the distribution of suitable Dendrobium habitats, Front. Ecol. Evol., 8, 320, 10.3389/fevo.2020.536339 Tang, 2021, Maximum entropy modeling to predict the impact of climate change on pine wilt disease in China, Front. Plant Sci., 12, 764, 10.3389/fpls.2021.652500 Taylor, 2001, Towards the scientific validation of traditional medicinal plants, Plant Growth Regul., 34, 23, 10.1023/A:1013310809275 Thuiller, 2012, Ecological niche and species traits: key drivers of regional plant invader assemblages, Biol. Invasions, 14, 1963, 10.1007/s10530-012-0206-0 Townsend Peterson, 2007, Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent, Ecography, 30, 550, 10.1111/j.0906-7590.2007.05102.x Velasco, 2019, Akaike information criterion should not be a “test” of geographical prediction accuracy in ecological niche modelling, Ecol. Inform., 51, 25, 10.1016/j.ecoinf.2019.02.005 Wang, 2016, Current status of standardization of traditional Chinese medicine in China, Evid. Based Complement. Alternat. Med., 15, 397 Wang, 2007 Wei, 2018, Predicting the current and future cultivation regions of Carthamus tinctorius L. using MaxEnt model under climate change in China, Global Ecol. Conserv., 16, 256 Wen, 2014, A CMIP5 multimodel projection of future temperature, precipitation, and climatological drought in China, Int. J. Climatol., 34, 2059, 10.1002/joc.3822 Wen, 2020, Comprehensive evaluation of hydrological models for climate change impact assessment in the upper Yangtze River basin, China, Clim. Chang., 163, 1207, 10.1007/s10584-020-02929-6 Wisz, 2013, The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling, Biol. Rev., 88, 15, 10.1111/j.1469-185X.2012.00235.x Wolkovich, 2012, Warming experiments underpredict plant phenological responses to climate change, Nature, 485, 494, 10.1038/nature11014 Wu, 2016, Effect of different drying methods on the two flavonol glycosides content in Thesium chinense Turcz, J. Yunnan Agric. Univ., 31, 696 Xiaodong, 2010, Initial study on the wild rare and endangered Chinese medicinal plants in Yuntai Mountains, Jiangsu, Chin. Wild Plant Resour., 12, 25 Xie, 2003, Characteristics and conservation priority of threatened plants in the Yangtze valley, Biodivers. Conserv., 12, 65, 10.1023/A:1021200525430 Xu, 2009, Traditional Chinese medicine in the Chinese health care system, Health Policy, 90, 133, 10.1016/j.healthpol.2008.09.003 Yanar, 1997, Effect of soil saturation duration and soil water content on root rot of maize caused by Pythium arrhenomanes, Plant Dis., 81, 475, 10.1094/PDIS.1997.81.5.475 Yang, 2020, Ecological niche modeling of Astragalus membranaceus var. mongholicus medicinal plants in inner Mongolia, China, Sci. Rep., 10, 1 Yi, 2016, Maxent modeling for predicting the potential distribution of endangered medicinal plant (H. riparia Lour) in Yunnan, China, Ecol. Eng., 92, 260, 10.1016/j.ecoleng.2016.04.010 Yuan, 2020, The effects of ecological factors on the main medicinal components of Dendrobium officinale under different cultivation modes, Forests, 11, 94, 10.3390/f11010094 Zanolla, 2018, Assessing global range expansion in a cryptic species complex: insights from the red seaweed genus Asparagopsis (Florideophyceae), J. Phycol., 54, 12, 10.1111/jpy.12598 Zhang, 2019, Climatic factors control the geospatial distribution of active ingredients in Salvia miltiorrhiza Bunge in China, Sci. Rep., 9 Zhang, 2018, Maxent modeling for predicting the potential geographical distribution of two peony species under climate change, Sci. Total Environ., 634, 1326, 10.1016/j.scitotenv.2018.04.112 Zhang, 2016, Predicting suitable cultivation regions of medicinal plants with Maxent modeling and fuzzy logics: a case study of Scutellaria baicalensis in China, Environ. Earth Sci., 75, 1 Zhang, 2009, Spatial and temporal variability of precipitation over China, 1951–2005, Theor. Appl. Climatol., 95, 53, 10.1007/s00704-007-0375-4 Zhang, 2015 Zhao, 2014, Responses of vegetation distribution to climate change in China, Theor. Appl. Climatol., 117, 15, 10.1007/s00704-013-0971-4 Zhou, 2012, Effects of temperature, light, nutrients and smoke-water on seed germination and seedling growth of Astragalus membranaceus, Panax notoginseng and Magnolia officinalis—highly traded Chinese medicinal plants, S. Afr. J. Bot., 79, 62, 10.1016/j.sajb.2011.11.004 Zhu, 2019, Studies on the evergreen broad-leaved forests of Yunnan, southwestern China, Bot. Rev., 85, 131, 10.1007/s12229-019-09210-1