昆虫学报 ›› 2024, Vol. 67 ›› Issue (5): 683-691.doi: 10.16380/j.kcxb.2024.05.011

• 研究论文 • 上一篇    下一篇

基于MaxEnt模型预测黑头叉胸花蝽在全球的潜在适生区

张丹丽1, 陈小艳1, 李敏1, 袁娟娟2, 姜坤3,*, 卜文俊4,*   

  1. (1. 太原师范学院生物科学与技术学院, 晋中 030619; 2. 枣庄学院生命科学学院, 枣庄 277160; 3. 安徽师范大学生态与环境学院, 芜湖 241000; 4. 南开大学生命科学学院, 天津 300071)
  • 出版日期:2024-05-20 发布日期:2024-06-20

Prediction of potential suitable habitats of Amphiareus obscuriceps (Hemiptera: Anthocoridae) in the world based on MaxEnt model

ZHANG Dan-Li1, CHEN Xiao-Yan1, LI Min1, YUAN Juan-Juan2, JIANG Kun3,*, BU Wen-Jun4,*   

  1.  (1. College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong 030619, China; 2. College of Life Sciences, Zaozhuang University, Zaozhuang 277160, China; 3. College of Ecology and Environment, Anhui Normal University, Wuhu 241000, China; 4. College of Life Sciences, Nankai University, Tianjin 300071, China)
  • Online:2024-05-20 Published:2024-06-20

摘要: 【目的】预测和分析黑头叉胸花蝽Amphiareus obscuriceps在全球的潜在地理分布,揭示其在当前和未来气候变化下的分布动态,明确气候环境因素对其潜在分布的影响。【方法】基于黑头叉胸花蝽在全球的165条有效地理分布记录和19个环境变量,运用参数优化的MaxEnt模型,推测当前及未来气候变化条件下2050和2090年黑头叉胸花蝽的潜在分布格局,并找出影响黑头叉胸花蝽分布的环境变量。【结果】全球潜在适生区模拟显示,除了原产地亚洲东部外,大洋洲东南部、欧洲西部和南部、北美洲东南部和南美洲东南部存在黑头叉胸花蝽的潜在适生区。最冷季平均温度(Bio11)、年均降水量(Bio12)、最干月降水量(Bio14)和最暖季降水量(Bio18)是影响黑头叉胸花蝽分布的重要环境变量,对模型的贡献比例分别为32.4%, 10.5%, 12.6%和33.3%。对2050和2090年在不同共享社会经济路径(SSP126和SSP585)所对应的气候情景下黑头叉胸花蝽的潜在分布的预测结果显示,黑头叉胸花蝽的总适生区面积变化较小,仅在2050年SSP585所对应的气候情景下有微弱增长,相对于当前气候情景下适生区面积增长0.84%,其余气候情景下适生区面积均减小(1.00%~8.45%)。然而,尽管适生区面积变化较小,但适生区位置变化大,整体向着高纬度地区转移,低纬度适生区面积减少在18.66%~47.94%之间,高纬度适生区面积增加在11.19%~46.93%之间。【结论】黑头叉胸花蝽在气候变化条件下会向高纬度地区转移,但受限于非气候因素(生物因素、地理阻隔等)的影响,气候变化可能将对物种的分布面积及范围影响较大。另外影响黑头叉胸花蝽分布的环境变量主要包括最冷季平均温度和最暖季降水量。本研究为黑头叉胸花蝽的潜在分布、田间释放及对有关害虫的生物防治提供重要的参考依据和数据支撑。

关键词: 黑头叉胸花蝽, MaxEnt, 全球气候变化, 环境变量, 潜在地理分布

Abstract: 【Aim】This study aims to predict and analyze the potential geographical distribution of Amphiareus obscuriceps in the world, reveal its distribution dynamics under current and future climate change, and clarify the impact of climate and environmental factors on its potential distribution.【Methods】Based on 165 valid geographical distribution records and 19 environmental variables, the MaxEnt model of parameter optimization was used to predict the potential distribution pattern of A. obscuriceps in 2050 and 2090 under current and future climate change conditions, and to find out the environmental variables affecting the distribution of A. obscuriceps.【Results】Global potential habitat simulations showed that in addition to the native eastern Asia, potential suitable habitats of A. obscuriceps exist in southeastern Oceania, western and southern Europe, southeastern North America, and southeastern South America. Mean temperature of the coldest quarter (Bio11), annual precipitation (Bio12), precipitation of the driest month (Bio14) and precipitation of the warmest quarter (Bio18) were important environmental variables affecting the distribution of A. obscuriceps, contributing 32.4%, 10.5%, 12.6% and 33.3% to the model, respectively. The potential distribution of A. obscuriceps in 2050 and 2090 under the climate scenarios of different shared socioeconomic pathways (SSP126 and SSP585) showed that the area of the total suitable habitats of A. obscuriceps will change little, and only increase 0.84% under the 2050 SSP585 climate scenario, and under other climate scenarios, the area of suitable habitats will decrease by 1.00%-8.45%. However, although the area of the suitable habitats will change little, the location of the suitable habitats will change greatly, and the suitable habitats will shift to the high latitude, the area of the low latitude habitat will decrease by 18.66%-47.94%, and the area of the high latitude habitat will increase by 11.19%-46.93%.【Conclusion】Under the condition of climate change, A. obscuriceps will move to high latitudes, but due to the influence of non-climatic factors (biological factors, geographical barriers, etc.), climate change may have a greater impact on the distribution area and range of the species. In addition, the environmental variables affecting the distribution of A. obscuriceps mainly include the mean temperature of the coldest quarter and the precipitation of the warmest quarter. This study provides important references and data support for the potential distribution, field release and biological control of related pests.

Key words: Amphiareus obscuriceps, MaxEnt, global climate change, environment variables, potential geographical distribution