摘要
文章以野鸦椿(Euscaphis japonica)为例,采用层次熵灰色关联法,对梅州地区调查发现的33株自然生长的野鸦椿植株的观赏价值进行综合评价。首先根据林业专业人员给出的各评价指标的重要性值,用层次分析法确定各指标权重,然后用熵值法进行修正,在修正的权重基础上,对野鸦椿进行灰色关联综合评价,并根据加权关联度R的大小对33株野鸦椿的观赏性进行量化排序与分级。33株野鸦椿分成4个等级,其中观赏价值高的一级单株有1株(R=0.868),是32号树(苍子下3号);观赏价值较高的二级单株有1株(R=0.681),是12号树(樟坑12号);观赏价值为三级的单株有7株(0.402≤R<0.681);其余24株为四级单株(0 In order to explore the scientific plant ornamental evaluation method, taking Euscaphis japonicaas an example, the grey correlation method was adopted to evaluate the ornamental value of 33 naturally growing strains of E. japonica in Meizhou area. Firstly, according to the importance value of each evaluation index given by forestry professionals, the weight of each index was determined by analytic hierarchy process, and then was modified by entropy method. On the basis of the corrected weight, the grey relational method was used to comprehensively evaluate the E. japonica. Based on the size of the weighted correlation degree R,the 33 strains of E. japonica appreciation was quantitatively ranked and classified. The results showed that 33 strains of E. japonica were divided into four grades, among which 1 plant with high ornamental value(R =0.868) was NO. 32(Cangzixia NO.3), and 1 plant in the second-grade ornamental value(R =0.681) was NO. 12(Zhangkeng NO.12). There were 7 plants with the ornamental value of grade three(0.402 ≤ R < 0.681), and the remaining 24 plants were in the four-grade(0 < R < 0.402). In addition, the difference in grade passed significance test, which showed that the classification results were reasonable and feasible.
引文
[1]葛玉珍.野鸦椿资源及其利用[J].中国野生植物资源,2004,23(5):24-25.
[2]闫道良.观果良木野鸦椿[J].植物杂志,2003(5):6.
[3]张莉梅,张子晗,喻方圆.低温层积过程中野鸦椿种子生理生化变化的研究[J].中南林业科技大学学报,2016,36(11):36-39.
[4]张莉梅,张子晗,刘源.低温层积过程中圆齿野鸦椿种子的生理生化变化[J].种子,2015,34(7):37-40.
[5]游双红,钟诚,涂淑萍.变温层积过程中圆齿野鸦椿种子内含抑制物的生理活性变化[J].经济林研究,2013,31(3):41-47.
[6]顾建中,王燕,朱发仁.野鸦椿育苗与园林应用研究[J].中国园艺文摘,2014,6(6):156-157.
[7]赖慧灵,季艳林,楼杨,等.野鸦椿属植物繁育方法和药用成分研究进展[J]生物技术进展,2016,6(1):7-9.
[8]王文元,史国旭,周文强,等.熵AHP法对鸢尾宿根花卉的综合评价[J].中国农学通报,2012,29(16):292-298.
[9]杜晓华,刘会超,张风娟.层次分析法在三色堇观赏性评价中的应用[J].东北农业大学学报,2012,43(10):166-171.
[10]李团结,李淑娟,杨玉惠,等.关中地区春季色叶植物观赏性评价[J].西北林学院学报,2014,29(6):255-259.
[11]吴超群.基于AHP法的26个扶桑品种观赏性评价[J].现代园艺,2015(19):10-12.
[12]闫会玲,杜勇军,李仁娜,等.西安地区15种果树园林观赏性评价[J].西北林学院学报,2016,31(5):321-324.
[13]童丽丽,吴祝慧,王哲宇,等.层次分析法与熵技术评价在南京城市绿化生态树种选择中的应用[J].东北林业大学学报,2010,38(9):58-61.
[14]张冬生,谢金兰,叶雪兰,等.基于层次分析法与熵技术法的野生刨花润楠观赏性评价[J].林业与环境科学,2016,32(1):23-30.
[15]司守奎,孙玺菁.数学建模算法与应用[M].北京:国防工业出版社,2015:193-203.
[16]李涛,蒋英杰,孙志强,等.航空维修差错模式及差错成因的灰色关联分析[J].中国安全科学学报,2011,21(2):85-89.
[17]张良桥,贺正楚,吴艳.基于灰色关联分析的战略性新兴产业评价——以生物医药为例[J].经济数学,2010,27(3):79-84.
[18]李懿洋.甘肃省产业结构与经济增长的灰色关联分析[J].企业经济,2011(5):20-23.
[19]丁建新,邢亚楠,金浩.基于灰色关联分析法的商业银行网点选址研究——以建设银行衡水分行为例[J].浙江金融,2012(1):50-53.
[20]张晓燕,左小平,赵世霞,等.20种观赏草在甘肃金昌地区的适应性[J].林业与环境科学,2017,33(1):72-77.