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Journal of Drug Delivery and Therapeutics

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Open Access                                                               Research Paper

Links between Leafstalk Biomass of (Cremastra appendiculata) and Elevation by Big Data of Long-time Wild Investigation in Mei-County

Bing-Hua Liao^1,2

1. The Key Laboratory of Ecological Restoration in Hilly Areas, Forestry Department of Henan Province, Institute of chemistry and environmental engineering, Ping-ding-shan University, Ping-ding-shan City, 467000, China
2. Institute of life and science, Henan University, Kai-feng City, He-nan Province, 475004, China

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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.

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Article Info: Received 07 Oct 2020;    Review Completed 21 Nov 2020;     Accepted 29 Dec 2020;     Available online 15 Dec 2020

Cite this article as:

Liao BH, Links between Leafstalk Biomass of (Cremastra appendiculata) and Elevation by Big Data of Long-time Wild Investigation in Mei-County, Journal of Drug Delivery and Therapeutics. 2020; 10(6-s):55-60      http://dx.doi.org/10.22270/jddt.v10i6-s.4450  

*Address for Correspondence:

Bing-Hua Liao, The Key Laboratory of Ecological Restoration in Hilly Areas, Forestry Department of Henan Province, Institute of chemistry and environmental engineering, Ping-ding-shan University, Ping-ding-shan City, 467000, China

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Introduction

More and more research has assessed the correlation among biomass (average height, numbers, biodiversity, structure) of plant species and elevation from biomass (average height, numbers. biodiversity, structure) of the medicinal plant perspective (Table 1)^1-11, for better future of human health (ecosystems)^6-14. However, medicinal species with typical history spanning over 1500 years, as well as areas ecological adaptation of a lot of fresh biomass weight of medical species are unknown, and cognitive ecological theory of the links between fresh biomass weight of medicinal species and elevation can be unknown along elevation and environments^12-19.

Thus, understanding these medical values of medicinal plant spices, as well as the links between of fresh biomass weight of medical species of different areas ecological adaptation and elevation is a vital rule along elevation at the spatial-temporal-environmental-disturbance scales (STEDS).

(Cremastra appendiculata) not only is vital medicinal material of treating lumbago and arthritis, but also is widely distributed wide specie in Mei County of China. This specie is belonging to Cremastra genus of Orchidaceae families of Monocotyledoneae in Angiospermae. Understanding dynamics of biomass of leafstalk of this species is unknown,however. Indeed, our research not only explained that there are links between biomass of leafstalk of this species and elevation, but also explained that this species is a key plant of treating lumbago and arthritis by better future of human health, ecosystem functions, ecosystem services and ecosystem procession.

Therefore, there are vital rules that the links between biomass of leafstalk of (Cremastra appendiculata) and elevation along the different elevation and environmental gradient in different vegetation landscapes of Mei County of Shan-xi Province of China at STEDS.

Abbreviation:

STEDS, the spatial-temporal-environmental-disturbance scales.

Table 1: Links between medicinal plant structure number (biomass, height) and elevation

Typical Environmental Condition, Situation of Typical Vegetation and Methods of Research

Typical area is local in three zones: firstly, evergreen vegetation of north subtropical zone; secondly, evergreen and deciduous coniferous and broad-leaved mixed forest of north subtropical and warm temperate transition; thirdly, deciduous vegetation of warm temperate zone in Earth. Thus, our research area is local in evergreen and deciduous coniferous and broad-leaved mixed forest in the north subtropical and warm temperate transition in Mei County (STEDS) (Figure1).

Figure 1: A Digital Cadaster Map and Research Methods of Typical Location in Mei County of Shan-xi Province of China of Earth at STEDS.

There are long-time investigation of correlations among leafstalk biomass of medicinal plant species and elevation from 2005 to 2019. Investigation of “big data” included that leafstalk biomass of medicinal plant species or other ecological index of medicinal plant species along different elevation and environmental gradient by previous our researches at STEDS ^2-12.

Thus, there is the links between biomass of (Cremastra appendiculata) leafstalk and elevation, as well as there is a series of (good, better, best) natural landscapes areas ecological adaptation of leafstalk biomass of this species by the “big data” of the ecological investigation, qualitative analysis, quantitative statistics, human cognitive ecological linguistic rules, theories, methods and ways along different elevation and environmental gradient at STEDS^5-17.

Results and Analysis

Based on “big data” of plant investigation, this species is a widely distributed wide species along elevation from 500m to 3100m. (Cremastra appendiculata) is a widely distributed along the different elevation from 500m to 3100m in Mei County of China. However, understanding the elevation effect on the links between biomass of leafstalk of this plant species and elevation is very difficult, because elevation effect on biomass of leafstalk of medicinal species^{2-14, 18-26}.

Using the dynamics of “big data” investigation, this research suggested there are four rules:

Firstly, this research suggested that there is not only the increasing of fresh biomass weight of (Cremastra appendiculata) with increasing of elevation from 500m to 1500m, as well as there are but also decreasing of biomass of leafstalk of (Cremastra appendiculata) with increasing of elevation from 1500m to 3100m at the STEDS in Mei County of China (Figure 2).

Table 2: Correlation between Biomass of Leafstalk of this Species and Elevation

Note: **, P<0.01.

Secondly, this study explained that there is the significant positive correlation between biomass of leafstalk of (Cremastra appendiculata) and elevation from 500m to 1500m (P<0.01), as well as there is the significant negative correlation between biomass of leafstalk of (Cremastra appendiculata) and elevation from 1500m to 3100m in Mei County (P<0.01)(Table 2).

Thirdly, this research provides a good areas ecological adaptation of (Cremastra appendiculata) from 500m to 3100 in Mei County in China. Meanwhile, this research proposed that there is not only the better area ecological adaptation of (Cremastra appendiculata) from 1000m to 2000m, there is but also the best areas ecological adaptation of (Cremastra appendiculata) from 1300m to 1700m; because there are results that there are not only dynamics of different air environmental factors, there are but also dynamics of different soil environmental factors from 500m to 3100m by the dynamics of biomass of leafstalk of this species in Mei County at STEDS (Figure 2).

Figure 2: Dynamics of Biomass of Leafstalk of Cremastra appendiculata along Elevation

Fourthly, this research proposed that medicinal plant species (Cremastra appendiculata) is local in the six typical ecosystem types (forestation ecosystem, mixed ecosystem between forestation and grassland, mixed ecosystem between forestation and wetland, mixed ecosystem between forestation and river, mixed ecosystem between forest and urban, mixed ecosystem between forestation and rural settlement) by the “big data” of biomass of leafstalk of medicinal plant species investing along elevation, because there may be results that there are not only dynamics of air environments, there are but also dynamics of soil environmental factors from 500m to 3100m along environmental factors of different elevation at STEDS in Mei County of China.

Thus, this research found a series of typical (good, better, best) areas ecological adaptation of (Cremastra appendiculata) of treating lumbago and arthritis along elevation gradient, as well as there is links between fresh leafstalk biomass of this medical plant species and elevation gradient. Indeed, better regional regulators and local government need better planning and regulation a lot of medicinal plant management sustainability of ecosystems by the researches on biomass of leafstalk along elevation and environments with dynamics of biodiversity in the global, local, regional natural ecosystem types with the ways “big data” investigation, quantitative statistics, scientific analysis for better future of vegetation ecosystems and human health at the STEDS^27-40.

Conclusion and Discussion

Understanding medicinal plant species is difficult in key landscapes^{1-8, 27-31,41-47}. This research suggested three linkages between leafstalk biomass of (Cremastra appendiculata) and elevation:

1. This research suggested that there is increasing of biomass of leafstalk of (Cremastra appendiculata) with increasing of elevation from 500m to 1500m, as well as there is decreasing of biomass of leafstalk of (Cremastra appendiculata) with increasing of elevation from 1500m to 3100m (Figure 2). There is the significant positive correlation between biomass of leafstalk of (Cremastra appendiculata) and elevation from 500m to 1500m (P<0.01) as well as there is the significant negative correlation between biomass of leafstalk of (Cremastra appendiculata) and elevation from 1500m to 3100m along elevation in Mei County of China (P<0.01) (Table 2).
2. This research provides six vegetation types (forestation vegetation, mixed vegetation between forestation and grassland, mixed vegetation between forestation and wetland, mixed vegetation between forestation and river, mixed vegetation between forest and urban, mixed vegetation between forestation and rural settlement), as well as there is a series of areas ecological adaptation (a good areas ecological adaptation of Cremastra appendiculata from 500m to 3100, the better area ecological adaptation of Cremastra appendiculata from 1000m to 2000m, the best areas ecological adaptation of Cremastra appendiculata from 1300m to 1700m ) for finding (Cremastra appendiculata) by dynamics of biomass of leafstalk of (Cremastra appendiculata) at STEDS.
3. (Cremastra appendiculata) not only is a vital medicinal material of treating lumbago and arthritis,but also it is belonging to Cremastra genus of Orchidaceae families of Monocotyledoneae in Angiospermae, as well as it is widely distributed wide specie by the “big data” investigation of biomass of leafstalk of (Cremastra appendiculata) in Mei County of China at STEDS.

Therefore, this research has a vital theoretical and practical significance for the reasonable protection of (Cremastra appendiculata) along different elevation gradient in the different ecosystems, because this plant species not only is an important widely distributed wide medicinal material pant by treating lumbago and arthritis, but also there are three rules by the links between biomass of leafstalk of (Cremastra appendiculata) and elevation in Mei County of China.

Acknowledgement

This work was supported by A Grade of Key Disciplines of Environmental Science Foundation, B Grade of Key Disciplines of Mistrials Science of Ping-Ding-shan University in China; Science and Technology Department of He’nan Province Foundation (KJT-17202310242; 092102110165); Subprojects by Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES); and better ideas of researchers of “1st Biotechnology World Congress” in 2011, “2st Biotechnology World Congress” in 2012, “3st Biotechnology World Congress” in 2013 is appreciated.

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