首页|青海省獐牙菜属植物适宜区预测及主导环境因子分析

青海省獐牙菜属植物适宜区预测及主导环境因子分析

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目的:了解不同气候变化条件下青海省獐牙菜属植物的潜在地理分布特点,掌握影响其分布的主导气候因子。方法:通过ArcGIS和MaxEnt模型,利用121个獐牙菜属植物地理位点以及19个气候变量,模拟分析影响獐牙菜属植物分布的主要气候因子,预测2050s、2070s的RCP 2。6、RCP 8。5两种气候情景下獐牙菜属植物的分布格局。结果:训练集与测试集AUC值均为0。899,模型推算当前潜在分布区的可信度良好。獐牙菜属植物主要分布在青海省的东部及东南部地区,包括海东、玉树等地。与当前气候相比,獐牙菜属植物在青海省的分布面积在未来不同气候情景下均有所增加,且分布区域逐渐向西偏移。影响青海省獐牙菜属植物分布的主要气候变量从大到小依次为年降水量、最冷季度平均温度、降水量季节性变化、等温性、最干季度降水量、最冷月份最低温度、最暖季度降水量。结论:獐牙菜属植物具有扩大地理分布范围的潜力,降水量和平均温度是限制獐牙菜属植物分布的关键因素,该结果可以为獐牙菜属植物的资源保护及引种驯化措施的制定提供理论依据。
Prediction of Suitable Area and Analysis of Dominant Environmental Factors of Swertia in Qinghai Province
Objective:To understand the potential geographical distribution charaeteristics of Swertia in Qinghai province under dif-ferent climate changes and to understand the dominant climatic factors affecting the distribution.Methods:Using the ArcGIS and MaxEnt models,121 geographical points and 19 climatic variables of Swertia were used to simulate and analyze the main climate factors affecting the distribution of Swertia,the distribution pattern of Swertia under RCP 2.6 and RCP 8.5 climate scenarios in 2050s and 2070s was predicted.Results:The AUC values of both training set and test set were all 0.899,the model simulated the current potential distribution area with good reliability.Swertia were mainly distributed in the east and southeast of Qinghai province,including Haidong,Yushu and other places.Compared with the current climate,the distribution area of Swertia in Qinghai province will increase under different climate scenarios in the future,and the distribution area will gradually move to the west.The main climate variables affecting the distribution of Swertia in Qinghai province were annual precipitation,average temperature in the coldest quarter,seasonal variation of precipitation,iso-therm,precipitation in the driest quarter,minimum temperature in the coldest month and precipitation in the warmest quarter.Conclu-sion:The Swertia has the potential to expand the biogeographical range.Precipitation and average temperature are the key factors limit-ing the distribution of Swertia.The results provide a theoretical basis for the conservation of Swertia resources and the formulation of measures for introduction and domestication of Swertia.

SwertiaMaxEnt modelPotential distribution areaClimatic factors

杨春霞、龙主多杰

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青海师范大学生命科学学院,青海 西宁 810016

獐牙菜属植物 MaxEnt模型 潜在分布区 气候因子

青海省青藏高原药用动植物资源重点实验室项目

2020-ZJ-Y40

2024

中药材
国家食品药品监督管理局,中药材信息中心站

中药材

CSTPCD北大核心
影响因子:0.913
ISSN:1001-4454
年,卷(期):2024.47(2)