中国农业气象 ›› 2023, Vol. 44 ›› Issue (08): 664-674.doi: 10.3969/j.issn.1000-6362.2023.08.002

• 农业生态环境栏目 • 上一篇    下一篇

川明参生态适宜性及四川潜在分布区预测

赵金鹏,王明田,罗伟,李昱锐,李潮,王茹琳   

  1. 1.四川省农村经济综合信息中心,成都 610072;2.四川省气象台,成都 610072;3.四川省自贡市气象局,自贡 643000; 4.内蒙古自治区满洲里市气象局,满洲里 021499;5.南方丘区节水农业研究四川省重点实验室,成都 610066
  • 收稿日期:2022-09-15 出版日期:2023-08-20 发布日期:2023-08-14
  • 通讯作者: 王茹林,高级工程师,从事应用气象与气象服务研究。 E-mail:wrl_1986_1@163.com
  • 作者简介:赵金鹏,E-mail:421508153@qq.com
  • 基金资助:
    高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(SCQXKJYJXZD202209);四川省科技厅自然科学基金项目(2022NSFSC0589)

Ecological Suitability and Potential Distribution of Chuanminshen violaceum Sheh et Shan in Sichuan

ZHAO Jin-peng, WANG Ming-tian, LUO Wei, LI Yu-rui, LI Chao, WANG Ru-lin   

  1. 1.Sichuan Provincial Rural Economic Information Center, Chengdu 610072, China; 2. Sichuan Meteorological Observatory, Chengdu 610072; 3. Zigong Meteorological Bureau, Zigong 643000; 4. Inner Mongolia Manzhouli Meteorological Bureau, Manzhouli 021499; 5. Key Laboratory of Water-Saving Agriculture Research in Southern Hilly Areas, Chengdu 610066
  • Received:2022-09-15 Online:2023-08-20 Published:2023-08-14

摘要: 基于川明参实际分布点位数据及CMIP6推出的未来气候情景数据,结合最大熵(MaxEnt)模型构建川明参种植分布与环境因子的关系模型,分析影响川明参分布的关键环境因子,模拟和验证气候变化下四川省川明参的分布规律及适生区范围,为川明参野生资源调查保护、生态修复及人工生产培育和产业发展等提供科学参考。结果表明:影响川明参潜在分布的关键环境因子为年降水量、最冷季降水量、最冷月最低温和温度年较差,中适生及以上区域的关键环境因子阈值分别为874.0~1231.2mm、22.1~83.9mm、−4.4~3.5℃和25.0~31.2℃。当前气候情景历史时期2010s(2000−2020年),川明参适生区域主要集中于四川盆地底部、盆缘山地及攀西高原东部,总面积达21.49×104km2。相较当前气候情景历史时期,2050s(2041–2060年)SSP1−2.6和SSP2−4.5情景下川明参高适生面积分别减少14.07%和10.04%,SSP5−8.5情景下增加3.46%,三种未来气候情景下中适生区面积分别增加27.36%、10.94%和30.66%;2090s(2081–2100年)三种未来气候情景下高适生区面积分别减少40.89%、33.53%和36.71%,中适生区分别增加4.85%、20.05%和8.9%。未来气候变化对川明参生长发育不利,为应对不利影响,应以成都、巴中、广元、南充等现存川明参主要产地为依托,开展川明参野生种质资源保护研究,选种育苗、储存优良基因,大力推广人工种植,发展特色产业,间接保护野生资源。

关键词: 川明参, 最大熵模型, 生态适应性, 主导气候因子, 预测

Abstract: Based on the distribution of Chuanminshen violaceum Sheh et Shan (C. violaceum) obtained from field investigation and literature, and the data of three future climate scenarios presented by CMIP6, a relationship model between potential distribution and environmental factors was established to analyze the key environmental factors affecting the distribution of C. violaceum in Sichuan, and to simulate and verify the distribution law and suitable range of C. violaceum in the background of climate change. The result showed that: the key environmental factors affecting the potential distribution of C. violaceum were annual precipitation, precipitation of the coldest quarter, the minimum temperature of the coldest month and temperature annual range. The thresholds for the moderately suitable and above regions were 874.0−1231.2mm, 22.1−83.9mm, −4.4−3.5℃ and 25.0−31.2℃. In the historical period (2000−2020) under the current climate scenario, the suitable regions of C. violaceum mainly concentrated in the bottom of Sichuan basin, the mountainous regions along the basin and the eastern of Panxi plateau, with a total area of 21.49×104km2. Compared with the historical period, the highly suitable areas of C. violaceum would decrease by 14.07% and 10.04% under SSP1−2.6 and SSP2−4.5 scenarios,while it would increase by 3.46% under SSP5−8.5 scenarios in the 2050s. The moderately suitable area of C. violaceum would increase by 27.36%, 10.94% and 30.66%. The highly suitable areas would decrease by 40.89%, 33.53% and 36.71% in the 2090s, while the moderately suitable area would increase by 4.85%, 20.05% and 8.9%. In order to cope with the adverse effects of climate change on the growth and development of C. violaceum in the future, the protection of wild germplasm resources of C. violaceum should be carried out based on the existing major producing areas, such as Chengdu, Bazhong, Guangyuan and Nanchong. At the same time, work such as seed selection, seedling breeding and good gene storage, should be carried out, also artificial cultivation should be vigorously promoted to develop characteristic industries and indirectly protect wild resources.

Key words: Chuanminshen violaceum Sheh et Shan, MaxEnt, Ecological suitability, Dominant climate factor, Potential distribution