相关实验视频

Updated: Jul 14, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

[基于GMPGIS系统和MaxEnt模型的Panax人参全球潜在增长区域的预测]

Hui-Hui Zhang¹, Xiang-Xiao Meng², Yu-Lin Lin³

¹Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100193, China Jiangxi University of Chinese Medicine Nanchang 330000, China.

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

|October 6, 2023

概括

临灭绝的帕纳克斯人参适合的息地正在缩小. 这项研究确定了关键的环境因素,并绘制了中国和周边"一带一路"国家的最佳生长区域,以保护和可持续使用.

科学领域:

生态生态学生态生态学
保护生物学保护生物学
生物地理学生物地理学生物地理学

背景情况:

临灭绝的药用草药Panax人参面临息地丧失,威胁其全球供应和可持续利用.
确定合适的生长区对于保护和管理帕纳克斯人参至关重要.

研究的目的:

在全球范围内分析和预测Panax人参的潜在适合息地.
为了确定影响Panax人参分布的关键环境变量.
为Panax人参种植地选择和开发规划提供数据支持.

主要方法:

收集了Panax人参的371个分销点.
利用21个环境因素作为生态指标.
采用全球药用植物地理信息系统 (GMPGIS),MaxEnt模型和蒂森多边形方法进行空间分析.

主要成果:

确定了关键的环境变量:最热季度的降雨量 (Bio18) 和温度季节性系数 (Bio4).
适合息地主要位于"一带一路"国家,包括中国,日本,韩国,朝鲜和俄罗斯.
在中国,非常适合的地区是山东东南部,山西和西南部,江苏北部和河南西北部.
目前的种植地点位于高适合性区域内,但生产公司的位置需要优化.

结论:

该研究成功地确定了帕纳克斯人参的关键环境因素和潜在息地.
这些发现支持Panax人参种植,引入和可持续发展的战略规划.
建议优化生产公司的位置,以实现平衡的发展.

关键词:

在GMPGIS中,使用GMPGIS.马克斯恩特马克斯恩特帕纳克斯人参是一种人参.生态适应生态适应临灭绝的药用植物

更多相关视频

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes

Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes

Published on: January 10, 2022

相关概念视频

Levels of Use of a GIS

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

Analysis of Population Pharmacokinetic Data

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...