Links between Leafstalk Biomass of (Cremastra appendiculata) and Elevation by Big Data of Long-time Wild Investigation in Mei-County
Abstract
(Cremastra appendiculata) of treating lumbago and arthritis not only is a vital medicinal material plant, but also it is a widely distributed wide plant species. This plant species is widely distributed elevation from 500m to 3100m in forest landscapes and vegetation ecosystems in Mei County of China. However, understanding dynamics of biomass of leafstalk of this species is difficult along elevation. This research explained that the links between biomass of leafstalk of this species and elevation is the significant positive correlation from 500m to 1500m (P<0.01) as well as the links between biomass of leafstalk of this species and elevation are the significant negative correlation from 1500m to 3100m(P<0.01). This study provides six ecosystem types and a series of areas ecological adaptation for finding new medicinal species. Therefore, this study has vital theoretical and practical significance for medicinal plant protection along elevation and environments.
Keywords: biomass of leafstalk; elevation; correlation; areas ecological adaptation; medicinal species.
Keywords:
biomass of leafstalk, elevation, correlation, areas ecological adaptation, medicinal species
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References
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41. Clough Y, Krishna VV, et al. Land-use choices follow profitability at the expense of ecological functions in Indonesian smallholder landscapes. Nature Communications, 2016; 7:1-12.
42. Hanski I, Schulz T, et al. Ecological and genetic basis of metapopulation persistence of the Glanville fritillary butterfly in fragmented landscapes. Nature Communications, 2017; 8:1-11.
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2. Liao BH, Ding SY, Liang GF, et al. Dynamics of plant functional groups composition along environmental gradients in the typical area of Yi-Luo River watershed. African Journal of Biotechnology, 2011a; 10:14485- 14492.
3. Liao BH, Ding SY, Hu N, et al. Dynamics of environmental gradients on plant functional groups composition on the northern slope of the Fu-Niu Mountain Nature Reserve. African Journal of Biotechnology, 2011b; 10:18939-18947.
4. Liao BH, Liu QF, Lu D, et al. Dynamics of environmental gradients on plant functional groups composition species in near-natural community ecological restoration on the southern slope of the Fu-Niu Mountain Nature Reserve. Journal of Science, 2014a; 4:306-312.
5. Chen HS, Liao BH, Hang CZ,et al. Research on risk assessment and early warning mechanism of agricultural non-point source pollution in Bai-gui Lake watershed by GIS. International Journal of Pharmacognosy and Pharmaceutical Sciences, 2019; 1:25-29.
6. Liao BH, Liu M., Huang CZ., et al. Dynamics of(Sophora japonica)Community’s Tree Individual Number along Elevation Gradient in Ye County. International Journal of Pharmacognosy and Pharmaceutical Sciences, 2019a; 1:1-4.
7. Liao BH, Liu YP, Zuo H, et al. Dynamics of 18 (Sophora japonica) Tree Community’s Total Trunk Volume along Elevation Gradient in Ye County. International Journal of Current Advanced Research, 2019c; 8:19063-19066.
8. Liao BH, Liu YP, Zuo H, et al. Elevation Dynamics of (Sophora japonica) Community's Height in Ye County. International Journal of Research Pharmaceutical and Nano Sciences, 2019b; 8:48 -54.
9. Liao BH, Liu YP, et al. Dynamics Crown Volume of 18 (Sophora japonica) Tree Communities along Elevation Gradient in Ye County. Open Journal of Ecology, 2019d; 9:209 -215.
10. Liao BH, Liu YP, Zuo H, et al. Dynamics of 18 (Sophora japonica) Tree Individual Specie’s Crown Volume along Elevation Gradient in Ye County. International Journal of Research Pharmaceutical and Nano Sciences, 2019e; 8:62-68.
11. Liao BH. A new model of dynamic of plant diversity in changing farmlands, implications for the management of plant biodiversity along differential environmental gradient in the spring. African Journal of Environmental Science and Technology, 2014b; 8:171- 177.
12. Zhu DM, Liao BH. A dynamical system of human cognitive linguistic theory in learning and teaching of the typical university in Henan Province. International Journal of Pharmacy & Therapeutics, 2015; 6:4-6.
13. Yang Y, Sun M, et al. Germplasm resources and genetic breeding of Paeonia: a systematic review. Horticulture Research, 2020; 7:1-19.
14. Jin D, Dai KP, et al. Secondary Metabolites Profiled in Cannabis Inflorescences, Leaves, Stem Barks, and Roots for Medicinal Purposes. Scientific Reports, 2020; 10:1-14.
15. Kozuharova E, Matkowski A, et al. Amorpha fruticosa - A Noxious Invasive Alien Plant in Europe or a Medicinal Plant against Metabolic Disease? Front Pharmacol. 2017; 8: 333.
16. Giovannini P, Howes MJ, Edwards SE. Medicinal plants used in the traditional management of diabetes and its sequelae in Central America: A review. J Ethnopharmacol. 2016; 184:58-71.
17. Szopa A, Klimek-Szczykutowicz M, Kokotkiewicz A, et al. Phenolic acid and flavonoid production in agar,agitated and bioreactor-grown microshoot cultures of Schisandra chinensis cv. Sadova No.1 - a valuable medicinal plant. J Biotechnol. 2019; 305: 61-70.
18. Mesfin F, Demissew S, Teklehaymanot T. An ethnobotanical study of medicinal plants in Wonago Woreda, SNNPR, Ethiopia. J Ethnobiol Ethnomed. 2009; 5: 28.
19. Elkins AC, Deseo MA, Rochfort S, et al.Development of a validated method for the qualitative and quantitative analysis of cannabinoids in plant biomass and medicinal cannabis resin extracts obtained by super-critical fluid extraction. J Chromatogr B Analyt Technol Biomed Life Sci. 2019; 109:76-83.
20. Baque MA, Moh SH, Lee EJ, et al. Production of biomass and useful compounds from adventitious roots of high-value added medicinal plants using bioreactor. Biotechnol Adv. 2012; 30:1255-1267.
21. Saeed S, Ali H, Khan T, et al. Impacts of methyl jasmonate and phenyl acetic acid on biomass accumulation and antioxidant potential in adventitious roots of Ajuga bracteosa Wall ex Benth., a high valued endangered medicinal plant. Physiol Mol Biol Plants. 2017; 23:229- 237.
22. Prasad R, Kamal S, Sharma PK, et al.Root endophyte Piriformospora indica DSM 11827 alters plant morphology, enhances biomass and antioxidant activity of medicinal plant Bacopa monniera. J Basic Microbiol. 2013; 53:1016-1024.
23. Fuentes P, Zhou F, Erban A, et al.A new synthetic biology approach allows transfer of an entire metabolic pathway from a medicinal plant to a biomass crop. Elife. 2016; 5:e1360-1364.
24. Rukh G, Ahmad N, et al. Photodependent somatic embryogenesis from non-embryogenic calli and its polyphenolics content in high-valued medicinal plant of Ajuga bracteosa. J Photochem Photobiol B. 2019; 190:59-65.
25. Das A, Kamal S, Shakil NA, et al. The root endophyte fungus Piriformospora indica leads to early flowering, higher biomass and altered secondary metabolites of the medicinal plant, Coleus forskohlii. Plant Signal Behav, 2012; 7:103-112.
26. Schafhauser T, Jahn L, Kirchner N, et al. Antitumor astins originate from the fungal endophyte Cyanodermella asteris living within the medicinal plant Aster tataricus. Proc Natl Acad Sci USA. 2019; 116:26909-26917.
27. Singh SP, Gaur R. Evaluation of antagonistic and plant growth promoting activities of chitinolytic endophytic actinomycetes associated with medicinal plants against Sclerotium rolfsii in chickpea. J Appl Microbiol. 2016; 121:506-518.
28. Das K, Dang R, Shivananda TN, Sur P. Interaction between phosphorus and zinc on the biomass yield and yield attributes of the medicinal plant stevia (Stevia rebaudiana). Scientific World Journal. 2005; 5:390-395.
29. Zubek S, Mielcarek S, Turnau K. Hypericin and pseudohypericin concentrations of a valuable medicinal plant Hypericum perforatum L. are enhanced by arbuscular mycorrhizal fungi. Mycorrhiza. 2012; 22:149-156.
30. Takshak S, Agrawal SB. Defence strategies adopted by the medicinal plant Coleus forskohlii against supplemental ultraviolet-B radiation: Augmentation of secondary metabolites and antioxidants. Plant Physiol Biochem. 2015; 97:124-138.
31. Larsen HO. Commercial medicinal plant extraction in the hills of Nepal: local management system and ecological sustainability. Environ Manage. 2002; 29:88-101.
32. Bojić M, Maleš Ž, Antolić A, et al. Antithrombotic activity of flavonoids and polyphenols rich plant species. Acta Pharm. 2019; 69:483-495.
33. Maleš Ž, Drvar DL, et al. Application of medicinal plants in several dermatovenerological entities. Acta Pharm. 2019; 69:525-531.
34. Wyk BEV. A review of commercially important African medicinal plants. J Ethnopharmacol. 2015; 176:118-134.
35. Ali H, Khan MA, Kayani WK, et al. Production of biomass and medicinal metabolites through adventitious roots in Ajuga bracteosa under different spectral lights. J Photochem Photobiol B. 2019; 193:109-117.
36. Song H, Payne S, et al. Spatiotemporal modulation of biodiversity in a synthetic chemical- mediated ecosystem. Nature Chemical Biology, 2009; 5:929-935.
37. Opgenoorth L, Hotes S, Mooney H. IPEPS: Biodiversity panel should play by rules. Nature, 2014; 506:159.
38. Cardinate BJ, Duffy JE, et al. Corrigendum: Biodiversity loss and its impact on humanity. Nature, 2012; 489:326.
39. Mooers AO. Biodiversity: Supply and demand. Nature, 2014; 509:171-172.
40. Liao, Mace GM, Ekins P. Limits to agricultural land for retaining acceptable levels of local biodiversity. Nature Sustainability, 2019; 2:491-498.
41. Clough Y, Krishna VV, et al. Land-use choices follow profitability at the expense of ecological functions in Indonesian smallholder landscapes. Nature Communications, 2016; 7:1-12.
42. Hanski I, Schulz T, et al. Ecological and genetic basis of metapopulation persistence of the Glanville fritillary butterfly in fragmented landscapes. Nature Communications, 2017; 8:1-11.
43. Marlier ME, DeFries RS, et al. El Niño and health risks from landscape fire emissions in southeast Asia. Nature Climate Chang, 2012; 3:131-136.
44. Battin TJ, Sloan WT, et al. Microbial landscapes: new paths to biofilm research. Nature Reviews Microbiology, 2007; 5:76-81.
45. Cámara-Leret R, Dennehy Z. Information gaps in indigenous and local knowledge for science-policy assessments. Nature Sustainability, 2019; 2:736-741.
46. Ji BW, Sheth RU, et al. Quantifying spatiotemporal variability and noise in absolute microbiota abundances using replicate sampling. Nature Methods, 2019; 16:731-736.
47. Oehri J, Schmid B, et al. Terrestrial land-cover type richness is positively linked to landscape-level functioning. Nature Communications, 2020; 11:1-10.
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Liao B-H. Links between Leafstalk Biomass of (Cremastra appendiculata) and Elevation by Big Data of Long-time Wild Investigation in Mei-County. JDDT [Internet]. 15Dec.2020 [cited 18Apr.2024];10(6-s):55-0. Available from: https://jddtonline.info/index.php/jddt/article/view/4450
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