中药材2024，Vol.47Issue(5)：1136-1140,5.DOI:10.13863/j.issn1001-4454.2024.05.011
基于MaxEnt模型预测气候变化下长柱重楼潜在地理分布
Prediction on Potential Geographical Distribution of Paris forrestii Under Climate Change Based on MaxEnt Model
摘要
Abstract
Objective:To predict the potential geographical distribution of Paris forrestii,so as to provide scientific basis for the protection of its wild population resources and the formulation of relevant measures for the production of medicinal materials.Methods:A total of 89 sites and 19 environmental factors were collected and screened.MaxEnt model was used to estimate the potential distribu-tion area of Paris forrestii.Based on the ManEnt model,the suitable area of Paris forrestii was predicted under greenhouse gas emission scenarios in the future 2050s,2070s and 2090s.Results:The MaxEnt model had excellent prediction effect,and the geographical distri-bution area of Paris forrestii will increase slightly with climate change in the future.According to the contribution rate,the main factors affecting the distribution of Paris forrestii were isotherm,average temperature in the coldest quarter,precipitation in the warmest quarter and precipitation in the coldest quarter,and the cumulative contribution rate was as high as 91.9%.Conclusion:The habitat distribution area of the plant species with extremely small populations plant Paris forrestii is more complicated,and the existing wild resources should be protected.The study is of great significance for the ex situ protection of Paris forrestii,the setting planning of protected area,the site selection of planting base and the exploration of planting conditions of Paris forrestii.关键词
长柱重楼/潜在地理分布/MaxEent模型/气候变化/极小种群Key words
Paris forrestii(Takht.)H.Li/Potential geographical distribution/MaxEent model/Climate change/Plant species with extremely small populations分类
医药卫生引用本文复制引用
张莉,邱新颖,杨丹丹,段奇希,杨承昊,杨丽娥..基于MaxEnt模型预测气候变化下长柱重楼潜在地理分布[J].中药材,2024,47(5):1136-1140,5.基金项目
John P.Smol院士工作站项目(202005AF150005) （202005AF150005）
