Bai Cheng-ke, Wu Yong-mei, Cao Bo, Xu Jun
Zhong Yao Cai. 2016 Feb;39(2):289-94.
To predict the suitable distribution of Cornus officinalis in planting regionalization.
Based on early field surveys and the geographic information data of Cornus officinalis specimens in the Chinese Virtual Herbarium( CVH),the 27 climatic variables,6 soil variables and 1 topographic variable in Shaanxi province were downloaded in World Clim and Harmonized World Soil Database, respectively. The Maximum entropy( Max Ent) was used to predict the potential suitable distributions and areas in Shaanxi province using geographic information system( GIS) after all the variables were made correlational analyses.
The AUC of Max Ent( 0. 98) showed the modeling process had a very high precision in this running. The statistical analysis of environment variables in highly potential areas demonstrated that Cornus officinalis prefered to grow in areas with average monthly minimum temperature of March( tmin3,- 3. 0 ~ 9. 8 ℃),precipitation of March( prec3,7 ~ 185 mm),annual average temperature( bio1,6. 7 ~ 17. 6 ℃),annual precipitation( bio12,558 ~ 1 817 mm) and altitude( alt,98 ~ 1 620 m). The predicted results showed that the total most suitable planting area of Cornus officinalis was as high as 45 000 km2 and it was divided into four most suitable regions according to climate types and topography in Shaanxi province. The four high suitable planting regions were the humid climate planting regions in the northern slope of Qinling Mountain zone( Ⅰ-1,5 900 km2),the sub-humid climate planting regions in the basin and valley of Shangluo-Danjiang( Ⅰ-2,11700 km2),the humid climate planting regions in the basin and valley of Hanzhong-Ankang( Ⅱ-1,15100 km2),and the humid climate planting regions in mountainous regions of Micang-Bashan Mountain( Ⅱ-2,8 400 km~2),respectively.
It is suggested that the planting base should be built in the Parts Ⅱ-1,Ⅰ-2 and Ⅰ-1 based on the original cultivation, the better varieties with high yield, good quality and disease resistance should be vigorously promoted the cultivation, and the mechanical picking tools should be researched to reduce the labor cost for fruit gathering. It will give a scientific method to build suitable planting regionalization to improve the quality of medicinal materials in the modernization of traditional Chinese medicine.
预测山茱萸在种植区划中的适宜分布。
基于早期实地调查及中国数字植物标本馆(CVH)中山茱萸标本的地理信息数据,分别从世界气候数据库(World Clim)和全球土壤数据库(Harmonized World Soil Database)下载陕西省的27个气候变量、6个土壤变量和1个地形变量。在对所有变量进行相关性分析后,利用地理信息系统(GIS)和最大熵模型(Max Ent)预测陕西省山茱萸的潜在适宜分布及面积。
Max Ent模型的AUC值为0.98,表明本次建模过程精度很高。对高适宜区环境变量的统计分析表明,山茱萸偏好生长在3月平均月最低气温(tmin3,-3.09.8℃)、3月降水量(prec3,7185mm)、年平均气温(bio1,6.717.6℃)、年降水量(bio12,5581817mm)及海拔(alt,98~1620m)的区域。预测结果显示,山茱萸最适宜种植总面积高达45000km²,根据陕西省的气候类型和地形分为四个最适宜种植区。四个高度适宜种植区分别是秦岭北坡湿润气候种植区(Ⅰ-1,5900km²)、商洛-丹江流域半湿润气候种植区(Ⅰ-2,11700km²)、汉中-安康流域湿润气候种植区(Ⅱ-1,15100km²)和米仓山-大巴山山区湿润气候种植区(Ⅱ-2,8400km²)。
建议在原有种植基础上,在Ⅱ-1、Ⅰ-2和Ⅰ-1区建立种植基地,大力推广高产、优质、抗病的优良品种种植,并研发机械采摘工具以降低果实采收的人工成本。这将为构建适宜种植区划提供科学方法,以提升中药现代化进程中中药材的质量。