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[基于最大熵模型的传统藏药翼首草潜在分布区]

[Potential distribution of the traditional Tibetan herb Pterocephalus hookeri by Maxent model].

作者信息

Tang Ce, Wen Jian, Zhang Wen, Su Jin-Song, Xie Cai-Xiang, Zhang Yi

机构信息

College of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical, Beijing 100193, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2017 May;42(10):1871-1876. doi: 10.19540/j.cnki.cjcmm.20170222.018.

DOI:10.19540/j.cnki.cjcmm.20170222.018
PMID:29090545
Abstract

In order to study the ecology suitability of Pterocephalus hookeri, and provide a reference for GAP planting location and regional development, the Maxent model and GIS technology were used to investigate ecology suitability regions for P. hookeri based on the distribution points collected from Chinese virtual herbarium, the references and field trips. The potential distribution areas mainly concentrated in the eastern Tibet, western Sichuan, southern Qinghai, northwest Yunnan, and southern Gansu. There were 7 major environmental factors to have obvious influence on ecology suitability distributions of P. hookeri, including altitude (contribution rate of 62%), precipitation of warmest quarter (contribution rate of 14.4%), coefficient of variation of precipitation seasonality (contribution rate of 7.2%), mean temperature of driest quarter (contribution rate of 3.5%), the electrical conductivity of top and sub-soil (contribution rate of 3%), the total exchangeable bases in the top- and subsoil (contribution rate of 2.4%) and SD of temperature seasonality (contribution rate of 2.2%). The study of the ecological suitability regionalization of P. hookeri based on Maxent model can provide scientific basis for the selection of artificial planting base and GAP planting location.

摘要

为研究西藏棱子芹的生态适宜性,为其GAP种植地选址及区域发展提供参考,基于中国虚拟植物标本馆收集的分布点、参考文献及实地考察,利用Maxent模型和GIS技术对西藏棱子芹的生态适宜区进行了研究。其潜在分布区主要集中在西藏东部、四川西部、青海南部、云南西北部和甘肃南部。有7个主要环境因子对西藏棱子芹生态适宜性分布有明显影响,包括海拔(贡献率62%)、最暖季降水量(贡献率14.4%)、降水季节性变异系数(贡献率7.2%)、最干季平均温度(贡献率3.5%)、表土和底土电导率(贡献率3%)、表土和底土总交换性碱(贡献率2.4%)以及温度季节性标准差(贡献率2.2%)。基于Maxent模型对西藏棱子芹进行生态适宜性区划研究,可为其人工种植基地选址及GAP种植地选择提供科学依据。

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