Advance Search
SANG Man-Jie, WEI Hai-Yan, GUO Yan-Long, GAO Bei, ZHU Li-Nan, CUI Jin-Liang, GU Wei. Habitat Suitability of Cornus officinalis in the Qinling Region Based on Fuzzy Mathematics[J]. Plant Science Journal, 2015, 33(6): 757-765. DOI: 10.11913/PSJ.2095-0837.2015.60757
Citation: SANG Man-Jie, WEI Hai-Yan, GUO Yan-Long, GAO Bei, ZHU Li-Nan, CUI Jin-Liang, GU Wei. Habitat Suitability of Cornus officinalis in the Qinling Region Based on Fuzzy Mathematics[J]. Plant Science Journal, 2015, 33(6): 757-765. DOI: 10.11913/PSJ.2095-0837.2015.60757
shu

Habitat Suitability of Cornus officinalis in the Qinling Region Based on Fuzzy Mathematics

  • 1.

    College of Tourism and Environment, Shaanxi Normal University, Xi'an 710062, China

  • 2. National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, Shaanxi Normal University, Xi'an 710062, China

  • 3. College of Life Sciences, Shaanxi Normal University, Xi'an 710062, China

  • 4. Shaanxi Provincial Remote Sensing Information Center for Agriculture, Xi'an 710015, China

More Information
  • Received Date: May 09, 2015
  • Published Date: December 27, 2015
    Graphical Abstract
    • Abstract
  • Cornus officinalis is a common traditional medicinal material. In this study, we simulated the potential geographical distribution of C. officinalis, and classified its habitat suitability based on 21 environmental factors and loganin contents. Fuzzy mathematics and maximum entropy were used to determine membership function and weight of each evaluation factor. We used the spatial analyst module of ArcGIS 10 to simulate the potential distribution of suitable habitat for C. officinalis growth in the study area. Results showed that climatic factors were the most important, followed by soil and topography. In the 21 evaluation factors, topsoil USDA texture classification (TTEX) had the greatest weight, followed by precipitation of growth (PG), annual precipitation (AP) and precipitation seasonality (PS). Highly suitable areas accounted for 19.94% of the study area, and were mainly distributed in southeast Gansu, south Shaanxi and west Henan. These areas exhibited suitable temperature, humidity and sunlight for C. officinalis growth. The percentages of suitable, low suitable and unsuitable areas for C. officinalis were 11.85%, 16.31% and 51.90%, respectively. Thus, the evaluation model based on GIS and fuzzy mathematics was appropriate for the determining habitat suitability for C. officinalis in the Qinling region, and was also able to quantify the effect of different environmental factors on C. officinalis in different habitats. This study provides scientific evidence for the management, protection and artificial cultivation of C. officinalis.
    • FullText(HTML)
    • References (38)
  • [1]
    高浦新, 李美琼, 周赛霞, 刘洁, 牛艳丽, 杜鹃, 丁剑敏. 濒危植物长柄双花木 (Disanthus cercidifolius var. longipes) 的资源分布及濒危现状[J]. 植物科学学报, 2013, 31(1): 34-41.
    [2]
    陶翠, 李晓笑, 王清春, 崔国发. 中国濒危植物华南五针松的地理分布与气候的关系[J]. 植物科学学报, 2012, 30(6): 577-583.
    [3]
    Brotons L, Thuiller W, Araújo MB, Hirzel AH. Pre-sence-absence versus presence-only modelling methods for predicting bird habitat suitability[J]. Ecography, 2004, 27: 437-448.
    [4]
    唐浩, 徐柳雄, 陈新军, 朱国平, 周成, 王学昉. 基于GAM模型研究时空及环境因子对中西太平洋鲣鱼渔场的影响[J]. 海洋环境科学, 2013, 32(4): 518-522.
    [5]
    武亚萍. 基于QRM、GLM和GAM的吉尔伯特群岛海域黄鳍金枪鱼栖息地综合指数比较[D]. 上海: 上海海洋大学, 2012.
    [6]
    Garcia K, Lasco R, Ines A, Lyon B, Pulhin F. Predicting geographic distribution and habitat suitabi-lity due to climate change of selected threatened forest tree species in the Philippines[J]. Appl Geogr, 2013, 44: 12-22.
    [7]
    何奇瑾, 周广胜. 我国夏玉米潜在种植分布区的气候适宜性研究[J]. 地理学报, 2011, 66(11): 1443-1450.
    [8]
    于晶, 唐艳雪, 郭水良. 基于GIS和MaxEnt比较中国砂藓属与紫萼藓属植物地理分布[J]. 植物科学学报, 2012, 30(5): 443-458.
    [9]
    Lu CY, Gu W, Dai AH, Wei HY. Assessing habitat suitability based on geographic information system (GIS) and fuzzy: a case study of Schisandra sphenanthera Rehd. et Wils. in Qinling Mountains, China[J]. Ecol Model, 2012, 242: 105-115.
    [10]
    况润元, 周云轩, 李行, 田波. 崇明东滩鸟类生境适宜性空间模糊评价[J]. 长江流域资源与环境, 2009, 18(3): 229-233.
    [11]
    国家药典委员会. 中华人民共和国药典:一部[S]. 北京: 中国医药科技出版社, 2010: 26.
    [12]
    中国科学院中国植物志编辑委员会. 中国植物志:第56卷[M]. 北京: 科学出版社, 1990: 83-84.
    [13]
    刘艳妮, 李慧敏, 徐融, 韦春桃, 康杰芳. 不同产地山茱萸中4种活性成分含量的HPLC分析[J]. 植物资源与环境学报, 2013, 22(2): 108-110.
    [14]
    朱砂, 梁晋如, 何姣, 孙文基. HPLC法同时测定不同产地及不同采收时间山茱萸中3个环烯醚萜苷的含量[J]. 药物分析杂志, 2012, 32(7): 1235-1242.
    [15]
    胡荣, 陈小虎, 邓君, 谈锋. RP-HPLC-ELSD 同时测定山茱萸中马钱苷、齐墩果酸与熊果酸的含量[J]. 中药材, 2010, 33(1): 70-72.
    [16]
    赵惠茹, 张小娟. 山茱萸多糖提取工艺和含量测定方法的研究[J]. 时珍国医国药, 2013, 24(10): 2396-2398.
    [17]
    Kim SH, Lee MK, Ahn MJ, Lee KY, Kim YC, Sung SH. Efficient method for extraction and simultaneous determination of active constituents in Cornus officinalis by reflux extraction and high performance liquid chromatography with diode array detection[J]. J Liq Chromatogr R T, 2009, 32: 822-832.
    [18]
    You QH, Yin XL, Zhao YP. Enzyme assisted extraction of polysaccharides from the fruit of Cornus officinalis[J]. Carbohyd Polym, 2013, 98: 607-610.
    [19]
    王利丽, 张涛, 陈随清. 山茱萸化学成分与气象因子相关性分析[J]. 中国实验方剂学杂志, 2013, 19(9): 152-157.
    [20]
    Liang JR, He J, Zhu S, Zhao WN, Zhao Y, Zhang YM, Sun WJ. An expeditious method combining multi-components determination and fingerprinting based on ultra performance liquid chromatography-photo diode array-tandem mass spectrometry and chemometrics: application for authentication and quality evaluation of Cornus officinalis Sieb. et Zucc[J]. Anal Lett, 2012,45: 2109-2124.
    [21]
    朱砂. 山茱萸总苷的制备工艺优化及其耐缺氧作用研究[D]. 西安: 西北大学, 2012.
    [22]
    张龙进. 山茱萸种质资源遗传多样性分析及核心种质构建方法研究[D]. 西安: 陕西师范大学, 2012.
    [23]
    王晓燕. 不同采收期山茱萸中马钱苷的含量测定[J]. 中国卫生检验杂志, 2009, 19(9): 2025-2026.
    [24]
    许丹, 樊宝娟, 孙文基. 不同生长期和不同产地山茱萸中马钱苷的测定[J]. 西北大学学报:自然科学版, 2008, 38(4): 602-604.
    [25]
    杜伟锋, 蔡皓, 蔡宝昌. HPLC-DAD同时测定山茱萸饮片中5个成分的含量[J]. 中国药学杂志, 2008, 43(17): 1342-1346.
    [26]
    张振凌, 呼海涛, 刘博, 吴国学, 朱瑄. 不同工艺酒制山茱萸马钱素、莫诺苷含量比较[J]. 中药材, 2007, 30(10): 1217-1219.
    [27]
    郑小华, 屈振江, 朱琳. 陕南秦巴山区中药材气候资源评价及区划[J]. 中国农学通报, 2008, 24(3): 390-394.
    [28]
    郭月婷, 徐建刚. 基于模糊物元的淮河流域城市化与生态环境系统的耦合协调测度[J]. 应用生态学报, 2013, 24(5): 1244-1252.
    [29]
    陈斌, 丁世飞. 基于信息熵的模糊物元模型预测玉米螟种群动态[J]. 数学的实践与认识, 2007, 37(10): 78-82.
    [30]
    Weber TC. Maximum entropy modeling of mature hardwood forest distribution in four U.S. states[J]. Forest Ecol Manag, 2011, 261: 779-788.
    [31]
    Li J, Heap AD. A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors[J]. Ecol Inform, 2011, 6: 228-241.
    [32]
    郭彦龙, 顾蔚, 路春燕, 卫海燕. 基于五味子甲素与乙素的秦岭地区野生华中五味子的潜在空间分布[J]. 植物学报, 2013, 48(4): 411-422.
    [33]
    张义, 谢永生, 郝明德. 黄土沟壑区王东沟流域苹果品质限制性生态因子探析[J]. 中国农业科学, 2011, 44(6): 1184-1190.
    [34]
    段居琦, 周广胜. 我国单季稻种植区的气候适宜性[J]. 应用生态学报, 2012, 23(2): 426-432.
    [35]
    Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distributions[J]. Ecol Model, 2006, 190: 231-259.
    [36]
    郭彦龙, 卫海燕, 路春燕, 张海龙, 顾蔚. 气候变化下桃儿七潜在地理分布的预测[J]. 植物生态学报, 2014, 38(3): 249-261.
    [37]
    陈延惠, 冯建灿, 郑先波, 李继东, 武应霞, 毕会涛, 吴国新, 姚芳. 山茱萸研究现状与展望[J]. 经济林研究, 2012, 30(1): 143-150.
    [38]
    吴卫刚. 山茱萸生物学特性及加工工艺研究[D]. 郑州: 河南农业大学, 2009.
    • Related Articles

  • Related Articles

    [1]ZHANG Na-Na, XIE Cai-Xiang, ZENG Fan-Lin, REN Ming-Bo, SONG Jing-Yuan. Quantitative Evaluation on Regional Suitability of Medicinal and Ornamental Dichroa febrifuga Lour.[J]. Plant Science Journal, 2016, 34(2): 230-237. DOI: 10.11913/PSJ.2095-0837.2016.20230
    [2]WANG Ying-Ying, WANG You-Fang, WANG Dai-Hua, LI Min, ZUO Qin. Effect of Habitat Fragmentation on Bryophytes Diversity in the Thousand-Island Lake Region[J]. Plant Science Journal, 2011, 1(4): 435-445.
    [3]WANG Dong-Mei, ZHANG Jing-Fang, LI Deng-Wu. Hydrophobic Constituents of Polygonatum odoratum Rhizome from the Qinling Mountains and Their Antisepsis Activity[J]. Plant Science Journal, 2010, 28(5): 644-647.
    [4]CHEN Qing, WANG Ma-Li, ZHANG Man-Xiang. Preliminary Studies on Flora of Hepaticae of Qinling Mountain[J]. Plant Science Journal, 2008, 26(4): 366-372.
    [5]ZHANG Qin-Wei. A Study on Floristic Regionalization in Qinling Mt.[J]. Plant Science Journal, 2002, 20(1): 21-32.
    [6]Shen Zehao, Jin Yixing, Zhao Zi'en, Wu Jinqing, Huang H,ong. A STUDY ON THE QUANTITATIVE CLASSIFICATION OF FOREST COMMUNITIES OF DALAOLING REGION AT THE THREE GORGES[J]. Plant Science Journal, 2000, 18(2): 99-107.
    [7]Xu Yangpeng. FLORISTIC CHARACTERISTICS AND GEOGRAPHIC DISTRIBUTION OF THE FERNS IN THE QINLING MOUNTAIN RANGE, CHINA[J]. Plant Science Journal, 1992, 10(3): 261-264.
    [8]Zhu Zhicheng. STABILITY OF THE BETULA FORESTS IN THE TAIBA MOUNTAIN OF QINLING MOUNTAIN RANGE[J]. Plant Science Journal, 1991, 9(2): 169-175.
    [9]Zhong Yang, Chen Zuoliang, Ke Shanqiang, Allen Moore. A FUZZY MATHEMATICAL MODEL FOR CULTIVABLE REGIONS FOR OLIVE[J]. Plant Science Journal, 1988, 6(3): 275-284.
    [10]Yuan Yongming, Zhang Zhiying. THE PRECIOUS RARE AND ENDEMIC PLANTS IN QINLING MOUNTAINS AND THEIR FLORISTIC CHARACTERISTICS[J]. Plant Science Journal, 1986, 4(4): 353-362.

Catalog

    Get Citation
    PDF
    XML
    Article views (1182) PDF downloads (1287) Cited by()
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles
    Copyright © 2022 Plant Science Journal 鄂ICP备05004779号-3
    Address：No. 201, Jiufeng 1st Road, Donghu High tech Zone, WuhanPostal Code：430074

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return