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应用生态学报 ›› 2025, Vol. 36 ›› Issue (4): 1118-1126.doi: 10.13287/j.1001-9332.202504.025

• 研究论文 • 上一篇    下一篇

基于青海产区气候特征的高产优质枸杞适生区预测

宋忠康, 刘中旭, 邓昌蓉, 段国珍, 樊光辉, 李建领*   

  1. 青海大学农牧学院/青海大学农林科学院/青海省高原林木遗传育种重点实验室/青藏高原种质资源研究与利用实验室, 西宁 810016
  • 收稿日期:2024-10-28 接受日期:2025-02-13 出版日期:2025-04-18 发布日期:2025-10-18
  • 通讯作者: *E-mail: lijianling@qhu.edu.cn
  • 作者简介:宋忠康, 男, 2000年生, 硕士研究生。主要从事林木育种与病虫害防治研究。E-mail: zkangsong@163.com
  • 基金资助:
    青海省基础研究计划(青年)项目(2024-ZJ-981)、青海省中央引导地方科技发展资金项目(2024ZY045)和青海省重大科技专项(2023-NK-A4)

Predicting suitable habitats of high-yield and -quality Lycium barbarum based on climate characteristics in production area of Qinghai, China

SONG Zhongkang, LIU Zhongxu, DENG Changrong, DUAN Guozhen, FAN Guanghui, LI Jianling*   

  1. College of Agriculture and Animal Husbandry, Qinghai University/Academy of Agricultural and Forestry Sciences, Qinghai University/Qinghai Plateau Key Laboratory of Forest Genetic Breeding/Laboratory for Research and Utilization of Qinghai-Tibetan Plateau Germplasm Resources, Xining 810016, China
  • Received:2024-10-28 Accepted:2025-02-13 Online:2025-04-18 Published:2025-10-18

摘要: 青海产区独特的气候条件非常适宜枸杞生长,产量和品质优于其他产区。筛选与其气候条件类似的产区可以指导高产优质枸杞的科学种植,提高种植收益。本研究基于青海产区气候特征,利用优化的MaxEnt模型和ArcGIS软件,明确影响其适生区分布的关键气象因子,预测其在不同气候情景下的适宜分布区。结果表明: 优化后的特征组合为线型、二次型,调控倍频为0.5,受试者工作特征曲线下面积和真实技巧统计值均大于0.90,表明预测结果准确可靠。影响高产优质枸杞分布的关键气象因子为平均气温日较差(适宜范围为12.94~19.08 ℃)和最暖月份最高温(19.01~28.32 ℃)。当前高产优质枸杞在我国适生区面积为42.69×104 km2,主要分布在青海柴达木盆地、甘肃西北部及其祁连山山麓、新疆昆仑山与阿尔金山山麓以及西藏中西部;未来(2050s和2070s)不同气候情景下,高产优质枸杞适生区面积均高于当前,呈现向东扩张的趋势,适生区面积分别在SSP585(59.26×104 km2)和SSP370(58.51×104 km2)情景下达到最大。温度是影响高产优质枸杞分布的关键气象因子,气候变暖将会导致其适生区向东扩张,有利于高产优质枸杞生产。

关键词: 枸杞, MaxEnt模型, 适生区, 气候变化

Abstract: The unique climatic conditions of Qinghai are highly suitable for the growth of goji berry (Lycium barbarum), with superior yield and quality to other production areas. Screening areas with similar conditions can guide the scientific cultivation of high-yield and high-quality goji berry, thereby increasing income. Based on the climatic characteristics of Qinghai production area, we utilized the optimized MaxEnt model and ArcGIS to identify the key meteorological factors affecting the distribution of suitable habitats and to predict suitable distribution areas under different climate scenarios. The results showed that the optimized feature combination was linear and quadratic, and the regularization multiplier was 0.5, with both the area under the receiver operating characteristic curve of the subject and true skill statistic values being greater than 0.90, indicating highly accurate and reliable prediction. The key meteorological factors affecting the distribution of high-yield and high-quality goji berry were mean diurnal temperature range (suitable range was 12.94-19.08 ℃) and maximum temperature of warmest month (19.01-28.32 ℃). Under current climatic conditions, the area of suitable habitat for high-yield and high-quality goji berry in China was 42.69×104 km2, primarily distributed in the Qaidam Basin of Qinghai, the northwest and the foothills of the Qilian Mountains of Gansu, the foothills of Kunlun Mountains and Altai Mountains in Xinjiang, and the central-western part of Xizang. In the future climate scenarios (2050s and 2070s), the area of suitable habitat for high-yield and high-quality goji berry was larger than the current ones, showing an eastward expansion trend. The area of suitable habitats reached its maximum under the SSP585 (59.26×104 km2) and SSP370 scenarios (58.51×104 km2), respectively. Temperature was the key meteorological factor influencing the distribution of high-yield and high-quality goji berry. Climate warming would cause the expansion of suitable habitat eastward, benefiting its cultivation.

Key words: Lycium barbarum, MaxEnt model, suitable habitat, climate change