中国农业气象 ›› 2025, Vol. 46 ›› Issue (8): 1111-1123.doi: 10.3969/j.issn.1000-6362.2025.08.004

• 农业生物气象栏目 • 上一篇    下一篇

气候变化背景下全球荔枝潜在地理分布模拟预测

侯伟,李焕苓,李伟光,陈小敏,王祥和   

  1. 1.海南省气候中心,海口 570203;2.海南省南海气象防灾减灾重点实验室,海口 570203;3.中国热带农业科学院环境与植物保护研究所,海口 571101;4.海南省农业科学院热带果树研究所,海口 571199
  • 收稿日期:2024-09-03 出版日期:2025-08-20 发布日期:2025-08-19
  • 作者简介:侯伟,高级工程师,研究方向为农业生态气象和气候变化,E-mail:houwei89@outlook.com
  • 基金资助:
    海南省“南海新星”科技创新人才平台项目(NHXXRCXM202355)

Modeling Prediction of Potential Geographical Distribution of Litchi chinensis under the Background of Climate Change

HOU Wei, LI Huan-ling, LI Wei-guang, CHEN Xiao-min, WANG Xiang-he   

  1. 1.Hainan Climate Center, Haikou 570203, China; 2.Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province, Haikou 570203; 3.Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101; 4.Institute of Tropical Fruit Tree, Hainan Academy of Agricultural Sciences, Haikou 571199
  • Received:2024-09-03 Online:2025-08-20 Published:2025-08-19

摘要:

基于全球荔枝分布记录、基准时期(1970−2000年)和未来时期(2050s2090s)不同气候情景的环境变量,利用优化后的MaxEnt最大熵模型分析影响荔枝分布的主要环境变量并预测潜在地理分布,以期通过预测气候变化对全球荔枝分布格局的影响为荔枝产业可持续发展提供理论依据。结果表明1)影响荔枝分布的最主要环境变量是最冷季度平均温度(bio11),其次是最暖季度降水量(bio18)和最湿季度降水量(bio16),bio11bio18bio16分布概率Q≥50%的变化范围分别为1122℃4871875mm5542052mm。(2)相较于基准期,未来时期荔枝潜在分布格局主要变化区域为中国和印度,不同时期荔枝中、高适生区主要分布在中国华南地区,其次为印度和越南,中国华南地区拥有全球最大的高适生区。(3)未来时期,中国华南地区荔枝适生区向高纬度地区扩张,特别是在SSP5−8.5情景下2090s2081−2100年)荔枝高、中和低适生区分别向北扩张246个纬距;而在同时期同情景下印度的适生区会向西扩张15个经距。(4)在SSP2−4.5情景下,未来时期荔枝总适生区面积显著增加,增加区域主要是低适生区;在SSP5−8.5情景下,荔枝低、中适生区面积表现为减少,其中2090s的低适生区面积最小,但其高适生区面积达到最大,为154.6×104km2。(5)全球荔枝分布质心向高纬度偏移,以SSP5−8.5情景下2090s的偏移距离最长,纬度跨度最大。综合分析表明,全球气候变暖造成荔枝适生区北扩,但极端气候事件的频发也对荔枝生境带来严峻挑战,选育气候适宜性广,高抗逆性的优良品种是荔枝产业持续发展的关键。

关键词: 气候变化, 荔枝, MaxEnt模型, 环境变量, 地理分布

Abstract:

Based on global litchi distribution records and environmental variables from different climate scenarios during the base period (19702000) and future periods (2050s and 2090s), this study utilized the optimized MaxEnt maximum entropy model to analyze the key environmental variables influencing litchi distribution and predict its potential geographic distribution. The aim was to provide a theoretical basis for the sustainable development of the litchi industry by predicting the impact of climate change on the global distribution pattern of litchi. The results indicated the following: (1) the most important environmental variable affecting litchi distribution was the mean temperature of the coldest quarter (bio11), followed by precipitation of warmest quarter (bio18) and precipitation of wettest quarter (bio16). The values of bio11, bio18, and bio16 at a distribution probability of Q  50% ranged from 1122°C, 4871875mm and 5542052mm, respectively. (2) Compared to the base period, the main areas of change in litchi’s potential distribution were in China and India. The highly and moderately suitable areas for litchi in different periods were primarily located in the southern regions of China, followed by India and Vietnam, with southern China having the largest highly suitable zone in the world. (3) In the future period, the suitable areas in southern China were projected to expand to higher latitudes. In particular, under the SSP58.5 scenario for the 2090s (20812100), the high, moderate and slight suitable areas would shift northward by 2° 4° and 6°, respectively, while the suitable area in India will expand westward by 15°. (4) Under the SSP24.5 scenario, the total suitable area was expected to increase significantly, especially in the slightly suitable zones. In contrast, under the SSP58.5 scenario, both moderate and slight suitable areas were predicted to decrease, with the slightly suitable area reaching its smallest size in the 2090s. However, the area of highly suitable land was projected to peak at 154.6×104 km². (5) The distribution center of litchi was expected to shift toward higher latitudes, with the largest offset and the widest latitude span occurring under SSP58.5 in the 2090s. A comprehensive analysis suggests that global warming will lead to the northward expansion of suitable areas for litchi cultivation. However, the increasing frequency of extreme weather events poses significant challenges. The selection and breeding of litchi varieties with broad climatic suitability and high resistance are crucial for the sustainable development of the industry.

Key words: Climate change, Litchi chinensis, MaxEnt, Environmental variables, Geographical distribution