CN105389417A - Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don) - Google Patents

Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don) Download PDF

Info

Publication number
CN105389417A
CN105389417A CN201510677283.8A CN201510677283A CN105389417A CN 105389417 A CN105389417 A CN 105389417A CN 201510677283 A CN201510677283 A CN 201510677283A CN 105389417 A CN105389417 A CN 105389417A
Authority
CN
China
Prior art keywords
don
bulbus fritillariae
fritillariae cirrhosae
average annual
fritillaria cirrhosa
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510677283.8A
Other languages
Chinese (zh)
Inventor
谢彩香
张琴
曾凡琳
张东方
吴明丽
宋经元
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Medicinal Plant Development of CAMS and PUMC
Original Assignee
Institute of Medicinal Plant Development of CAMS and PUMC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of Medicinal Plant Development of CAMS and PUMC filed Critical Institute of Medicinal Plant Development of CAMS and PUMC
Priority to CN201510677283.8A priority Critical patent/CN105389417A/en
Publication of CN105389417A publication Critical patent/CN105389417A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Medicines Containing Plant Substances (AREA)

Abstract

The invention relates to establishment of a climate characteristic curve of a medicinal plant Fritillaria cirrhosa D. Don, and discloses a method for analyzing and establishing a climate characteristic curve of Fritillaria cirrhosa D. Don, so as to attempt to find climate characteristics of main producing areas of the Fritillaria cirrhosa D. Don. The method comprises the following steps: F1, determining distribution points of the Fritillaria cirrhosa D. Don in China according to the Chinese virtual herbarium and literature review; F2, obtaining data of 9 climatic factors of the distribution points of the Fritillaria cirrhosa D. Don; F3, obtaining ecological factors having a relative large contribution rate on the geographical distribution of the Fritillaria cirrhosa D. Don and constituting climate characteristic parameters of distribution areas of the Fritillaria cirrhosa D. Don according to a factor analysis method and functional rules of the ecological factors on plants; and F4, calculating a variation range of the climate characteristic parameters, and establishing the climate characteristic curve of the Fritillaria cirrhosa D. Don in these areas. According to the method for establishing the climate characteristic curve of the Fritillaria cirrhosa D. Don disclosed by the invention, the characteristic extraction and selection thought and method in mode recognition are used for the first time for quantitatively evaluating the climate demands of the Fritillaria cirrhosa D. Don in the whole country, so as to give the reasons why the quality of famous-region drugs is high.

Description

Medicinal plant Bulbus Fritillariae Cirrhosae (Fritillaria cirrhosa D.Don) climate characteristic curve is set up
Technical field
The present invention relates to medicinal plant Bulbus Fritillariae Cirrhosae climate characteristic curve and set up field, be specifically related to the definition of Bulbus Fritillariae Cirrhosae climate characteristic, the data mode that reflection climate characteristic is used, climate characteristic building method etc.
Background technology
Bulbus Fritillariae Cirrhosae (FritillariacirrhosaD.Don) is famous conventional Chinese medicine, has moistening lung for removing phlegm, relieving cough and asthma, the effects such as heat-clearing.Bulbus Fritillariae Cirrhosae is mainly distributed in East Asia Region, and wherein, the states such as China, India, Nepal are its main distributive province.Plant grow and distribution and environment condition there is close unitarity, and Bulbus Fritillariae Cirrhosae in the whole nation main integrated distribution in Sichuan, Tibet and Yunnan, show that the environment in these areas is extremely applicable to Bulbus Fritillariae Cirrhosae growth, climatic factor is formed with vital role to Bulbus Fritillariae Cirrhosae, mostly research is in the past to compare Different sources Bulbus Fritillariae Cirrhosae content, the climate characteristic data never clear and definite to the growth district of Bulbus Fritillariae Cirrhosae.
In order to excavate the climate characteristic of tendril-leaved fritillary bulb distributive province, multiple climatic factor is adopted to set up the climate characteristic curve of Bulbus Fritillariae Cirrhosae, attempt and find whether the different regions weather being applicable to Bulbus Fritillariae Cirrhosae growth has common trait, whether be the unique conditions that Bulbus Fritillariae Cirrhosae grows, for explaining that the Bulbus Fritillariae Cirrhosae growth variation under varying environment provides possible climate reasons further, also for Bulbus Fritillariae Cirrhosae introduce a fine variety and cultivation provides weather demand characteristic data.
Summary of the invention
(1) technical matters that will solve
Technical matters to be solved by this invention is: set up Bulbus Fritillariae Cirrhosae climate characteristic curve.
(2) technical scheme
For solving the problems of the technologies described above, the present invention proposes the method setting up Bulbus Fritillariae Cirrhosae climate characteristic curve, comprises the following steps:
F1, the distributed points data of acquisition Bulbus Fritillariae Cirrhosae in the whole nation: record according to Chinese Digital Herbarium and document and collect the distributed points of Bulbus Fritillariae Cirrhosae in the whole nation;
9 climatic factor data such as F2, the moisture factor (average annual precipitation, average annual relative humidity) obtaining Bulbus Fritillariae Cirrhosae whole nation distributed points according to meteorogical phenomena database, light factor (average annual sunshine time), the hot factor (year extreme temperature, year samming);
F3, according to factor analysis, draw the ecological factor larger to Bulbus Fritillariae Cirrhosae geographic distribution contribution rate: July the highest temperature, July is on average warm, average annual gentle average annual precipitation;
F4, according to the action rule of ecological factor to plant, structure Bulbus Fritillariae Cirrhosae distributive province climate characteristic parameter: N 1=July average temperature/average annual precipitation, N 2=July the highest temperature/average annual precipitation, N 3=year samming/average annual precipitation;
The climate characteristic parameter of F5, calculating Bulbus Fritillariae Cirrhosae distributive province, obtain the climate characteristic curve of Bulbus Fritillariae Cirrhosae distributive province according to data mining principle, the climate characteristic parameter area that can be obtained the area that applicable Bulbus Fritillariae Cirrhosae grows by accompanying drawing is: N1 (0.06-0.53), N2 (0.14-0.73), N3 (0.10-0.40).
Preferably, what described reflection Bulbus Fritillariae Cirrhosae grew demand is year border data, the annual climatic data in reflecting regional.
Preferably, described climatic factor mainly water, heat two aspect factors.
Preferably, described characteristic parameter constructs the action rule of plant according to factor analysis and ecological factor.
Preferably, the climate characteristic curve of described Bulbus Fritillariae Cirrhosae is expressed with the year border average data of the climate characteristic parameter of structure.
Accompanying drawing explanation
Fig. 1 is experimental result picture of the present invention, i.e. distributive province, Bulbus Fritillariae Cirrhosae whole nation climate characteristic curve.
Specific embodiments
Under regard to a kind of Bulbus Fritillariae Cirrhosae climate characteristic curve method for building up proposed by the invention, comprise the following steps:
F1, the distributed points data of acquisition Bulbus Fritillariae Cirrhosae in the whole nation: record according to Chinese Digital Herbarium and document and collect the distributed points of Bulbus Fritillariae Cirrhosae in the whole nation;
9 climatic factor data such as F2, the moisture factor (average annual precipitation, average annual relative humidity) obtaining Bulbus Fritillariae Cirrhosae whole nation distributed points according to meteorogical phenomena database, light factor (average annual sunshine time), the hot factor (year extreme temperature, year samming);
F3, according to factor analysis, draw the ecological factor larger to Bulbus Fritillariae Cirrhosae geographic distribution contribution rate: July the highest temperature, July is on average warm, average annual gentle average annual precipitation;
F4, according to the action rule of ecological factor to plant, structure Bulbus Fritillariae Cirrhosae distributive province climate characteristic parameter: N 1=July average temperature/average annual precipitation, N 2=July the highest temperature/average annual precipitation, N 3=year samming/average annual precipitation;
The climate characteristic parameter of F5, calculating Bulbus Fritillariae Cirrhosae distributive province, obtain the climate characteristic curve of Bulbus Fritillariae Cirrhosae distributive province according to data mining principle, the climate characteristic parameter area that can be obtained the area that applicable Bulbus Fritillariae Cirrhosae grows by accompanying drawing is: N1 (0.06-0.53), N2 (0.14-0.73), N3 (0.10-0.40).
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (4)

1., according to the biological characteristics of medicinal plant Bulbus Fritillariae Cirrhosae and the climatic factor in geographic distribution region, build and find the climate characteristic curve of medicinal plant Bulbus Fritillariae Cirrhosae, comprise the following steps:
F1, the distributed points data of acquisition Bulbus Fritillariae Cirrhosae in the whole nation: record according to Chinese Digital Herbarium and document and collect the distributed points of Bulbus Fritillariae Cirrhosae in the whole nation;
9 climatic factor data such as F2, the moisture factor (average annual precipitation, average annual relative humidity) obtaining Bulbus Fritillariae Cirrhosae whole nation distributed points according to meteorogical phenomena database, light factor (average annual sunshine time), the hot factor (year extreme temperature, year samming);
F3, according to factor analysis, draw the ecological factor larger to Bulbus Fritillariae Cirrhosae geographic distribution contribution rate: July the highest temperature, July is on average warm, average annual gentle average annual precipitation;
F4, according to the action rule of ecological factor to plant, structure Bulbus Fritillariae Cirrhosae distributive province climate characteristic parameter: N 1=July average temperature/average annual precipitation, N 2=July the highest temperature/average annual precipitation, N 3=year samming/average annual precipitation;
The climate characteristic parameter of F5, calculating Bulbus Fritillariae Cirrhosae distributive province, obtain the climate characteristic curve of Bulbus Fritillariae Cirrhosae distributive province according to data mining principle, the climate characteristic parameter area that can be obtained the area that applicable Bulbus Fritillariae Cirrhosae grows by accompanying drawing is: N1 (0.06-0.53), N2 (0.14-0.73), N3 (0.10-0.40).
2. the method for claim 1, it is characterized in that, climatic factor comprises: >=10 DEG C of active accumulated temperatures (DEG C), average annual temperature (DEG C), average annual relative humidity (%), average annual sunshine time (hour/year), average annual precipitation (mm), the highest temperature in July (DEG C), temperature on average in July (DEG C), the lowest temperature in January (DEG C), a monthly mean temperature (DEG C).
3. the method for claim 1, is characterized in that, according to factor analysis and ecological factor, the action rule structural attitude parameter to plant is: N 1=July average temperature/average annual precipitation, N 2=July the highest temperature/average annual precipitation, N 3=year samming/average annual precipitation.
4. the method for claim 1, is characterized in that, the climate characteristic curve of described Bulbus Fritillariae Cirrhosae is expressed with the climate characteristic supplemental characteristic of structure.
CN201510677283.8A 2015-10-20 2015-10-20 Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don) Pending CN105389417A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510677283.8A CN105389417A (en) 2015-10-20 2015-10-20 Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510677283.8A CN105389417A (en) 2015-10-20 2015-10-20 Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don)

Publications (1)

Publication Number Publication Date
CN105389417A true CN105389417A (en) 2016-03-09

Family

ID=55421701

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510677283.8A Pending CN105389417A (en) 2015-10-20 2015-10-20 Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don)

Country Status (1)

Country Link
CN (1) CN105389417A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106780083A (en) * 2016-12-08 2017-05-31 南京信息工程大学 A kind of method for building up of the medicinal plant threeleaf akebia ecological characteristic index based on GIS

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004269837A (en) * 2003-03-07 2004-09-30 Chugoku Shii S K:Kk Carbonized stake
CN103364309A (en) * 2013-07-19 2013-10-23 中国医学科学院药用植物研究所 Remote sensing monitoring method for wild rhubarb population structure and reasonable excavation amount
CN104484561A (en) * 2014-12-12 2015-04-01 中国医学科学院药用植物研究所 Angelicae dahuricae climate feature curve building method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004269837A (en) * 2003-03-07 2004-09-30 Chugoku Shii S K:Kk Carbonized stake
CN103364309A (en) * 2013-07-19 2013-10-23 中国医学科学院药用植物研究所 Remote sensing monitoring method for wild rhubarb population structure and reasonable excavation amount
CN104484561A (en) * 2014-12-12 2015-04-01 中国医学科学院药用植物研究所 Angelicae dahuricae climate feature curve building method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
谢彩香等: "基于地理信息系统的中药材生态适宜性定量化研究", 《中国中药杂志》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106780083A (en) * 2016-12-08 2017-05-31 南京信息工程大学 A kind of method for building up of the medicinal plant threeleaf akebia ecological characteristic index based on GIS

Similar Documents

Publication Publication Date Title
Yu et al. How can urban green spaces be planned for climate adaptation in subtropical cities?
Huang et al. Vegetation and climate history reconstructed from an alpine lake in central Tienshan Mountains since 8.5 ka BP
Pravalie et al. Detecting climate change effects on forest ecosystems in Southwestern Romania using Landsat TM NDVI data
Yan et al. Changes of daily climate extremes in Loess Plateau during 1960–2013
Ustrnul et al. Extreme values of air temperature in Poland according to different atmospheric circulation classifications
LN Wanderley et al. Relationship between land surface temperature and fraction of anthropized area in the Atlantic forest region, Brazil
Feng et al. A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
Eresmaa et al. Diverse profile datasets from the ECMWF 137-level short-range forecasts
Jia et al. Dew yield and its influencing factors at the western edge of Gurbantunggut Desert, China
Kitamura et al. Interannual variability of net ecosystem production for a broadleaf deciduous forest in Sapporo, northern Japan
Liu et al. Microclimate regulation efficiency of the rural homegarden agroforestry system in the Western Sichuan Plain, China
Salinger et al. Seasonal differences in climate in the Chianti region of Tuscany and the relationship to vintage wine quality
Costa et al. WUE and CO2 estimations by Eddy covariance and remote sensing in different tropical biomes
Zhang et al. Variation in vegetation greenness in spring across eastern China during 1982–2006
CN105389417A (en) Establishment of climate characteristic curve of medicinal plant Fritillaria cirrhosa D. Don (Fritillaria cirrhosa D. Don)
Fickert Common patterns and diverging trajectories in primary succession of plants in eastern alpine glacier forelands
Pérez et al. Comparison of diurnal variation of airborne pollen in Mar del Plata (Argentina) 2. Arboreal pollen
Garcia-Carreras et al. Observations of increased cloud cover over irrigated agriculture in an arid environment
Zeng et al. No altitude‐dependent effects of climatic signals are recorded in S mith fir tree‐ring δ18O on the southeastern T ibetan P lateau, despite a shift in tree growth
Ma et al. Species diversity and community structure in forest fragments of Guangzhou, South China
Li et al. A new perspective on understanding the reduced spring dust storm frequency in Inner Mongolia, China
Tanaka et al. Elevational patterns of fern species assemblages and richness in central Japan
Wang et al. Dynamic characteristics of sandy vegetation landscape pattern based on dimidiate pixel model
CN104484561A (en) Angelicae dahuricae climate feature curve building method
Rodríguez et al. Late Holocene vegetation, fire, climate and upper forest line dynamics in the Podocarpus National Park, southeastern Ecuador

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160309