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应用生态学报 ›› 2023, Vol. 34 ›› Issue (6): 1649-1658.doi: 10.13287/j.1001-9332.202306.018

• 研究论文 • 上一篇    下一篇

扶桑绵粉蚧多维气候生态位保守性与入侵风险

张辉盛1, 徐琳1, 吕韦韦1, 周昱2, 王卫锋1, 高瑞贺1,3, 崔绍朋1,3, 张志伟1,3*   

  1. 1山西农业大学林学院, 山西晋中 030801;
    2山西省桑干河杨树丰产林实验局有害生物防治检疫站, 山西大同 037000;
    3山西省林业危险性有害生物检验鉴定中心, 山西晋中 030801
  • 收稿日期:2022-11-03 接受日期:2023-04-17 出版日期:2023-06-15 发布日期:2023-12-15
  • 通讯作者: *E-mail: zhiweizhang2012@163.com
  • 作者简介:张辉盛, 男, 1999年生, 硕士研究生。主要从事外来入侵昆虫生态学。E-mail: huishengz@126.com
  • 基金资助:
    国家自然科学基金项目(32201307,32171806)、山西省高等学校科技创新项目(2021L147)、山西省基础研究计划项目(20210302124678,20210302123392)和生物多样性调查与评估项目(2019HJ2096001006)

Multidimensional climatic niche conservatism and invasion risk of Phenacoccus solenopsis

ZHANG Huisheng1, XU Lin1, LYU Weiwei1, ZHOU Yu2, WANG Weifeng1, GAO Ruihe1,3, CUI Shaopeng1,3, ZHANG Zhiwei1,3*   

  1. 1College of Forestry, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China;
    2Pest Management Station, Shanxi Poplar Fertility Experimental Bureau of Sanggan River, Datong 037000, Shanxi, China;
    3Shanxi Forestry Dangerous Pest Inspection and Identification Center, Jinzhong 030801, Shanxi, China
  • Received:2022-11-03 Accepted:2023-04-17 Online:2023-06-15 Published:2023-12-15

摘要: 作为全球性入侵昆虫,扶桑绵粉蚧被列为农业和林业检疫性有害生物,严重威胁着我国生物安全。生态位保守性是物种分布模型的关键假设,明确利用生态位模型评估扶桑绵粉蚧入侵风险的适用性,并进一步优化模型复杂度,兼具理论和实践意义。基于706个分布点和关键生物气候变量,本研究首次利用n维超体积生态位分析方法,量化扶桑绵粉蚧在原产地和入侵地的超体积气候生态位,检验其生态位保守性,并优化MaxEnt模型参数,预测扶桑绵粉蚧在我国当前和未来气候变化下的入侵风险。结果表明: 年均温、最湿季均温、最暖季均温和最干季降水量是影响扶桑绵粉蚧分布的关键气候因子。与原产地气候生态位(超体积空间大小为40.43)相比,扶桑绵粉蚧在入侵地的生态位明显减小(超体积空间大小为6.04),生态位收缩(空间净差异为0.84)解释了98.8%的生态位差异,而生态位漂移(空间置换值为0.01)贡献不足2%,在不同入侵区域扶桑绵粉蚧气候生态位收缩方向并不完全一致。MaxEnt模型默认参数并不可靠(ΔAICc=14.27),最优参数组合中特征组合为线性-二次型-片段化-乘积型,调控倍频为0.5。扶桑绵粉蚧的核心适生区主要集中在秦岭淮河一线以南,中北部省份包含大面积的低适宜生境。21世纪末期,扶桑绵粉蚧适生区增加并不明显(SSP1-2.6为1.7%,SSP5-8.5为0.7%)。扶桑绵粉蚧多维气候生态位高度保守,物种分布模型适用于该物种的入侵风险分析;扶桑绵粉蚧“南害北移”扩散态势明显,未来气候变化对该物种分布的影响不大。

关键词: 生物入侵, 生态位保守性, 超体积生态位, 扶桑绵粉蚧, 最大熵模型, 气候变化

Abstract: The cotton mealybug Phenacoccus solenopsis, a globally invasive insect, is listed as a national quarantine pest in agriculture and forestry, which seriously threatens biological safety of China. Niche conservatism is a key assumption of species distribution model. An evaluation of the applicability of using ecological niche models to assess the invasion risk of cotton mealybug, and further optimizing model complexity, are of both theoretical and practical significance. Based on 706 occurrence records and key bioclimatic variables, we used n-dimensional hypervolume niche analysis method to quantify the climatic niche hypervolumes of this pest in both native and invasive sites, and further tested the niche conservatism hypothesis. MaxEnt model parameters were optimized to predict the invasion risk of the mealybug under current and future climate scenarios in China. The results showed that four climatic variables (annual mean temperature, mean temperature of wettest quarter, mean temperature of warmest quarter, and precipitation of driest quarter) were the key climate factors affecting the distribution of cotton mealybug. Compared with native climatic niche (hypervolume volume, HV=40.43), the niche hypervolume of cotton mealybug in the invasive areas was significantly reduced (HV=6.04). Niche contraction (the net differences between the amount of space enclosed by each hypervolume was 0.84) explained 98.8% of niche differentiation, whereas niche shift (the replacement of space between hypervolumes was 0.01) contributed less than 2%. The direction of climatic niche contraction of the pest in different invasive areas was not exactly consistent. The default parameters of MaxEnt model were unreliable (ΔAICc=14.27), and the optimal parameter combination was obtained as follows: feature combination was linear-quadratic-hinge-product and regularization multiplier was 0.5. The most suitable habitats of cotton mealybug were concentrated in the south of Huaihe River-Qinling Mountains line, and the north-central provinces contained a large area of low suitable habitat. The increase of suitable habitat was not significant at the end of 21 century (SSP1-2.6: 1.7%, SSP5-8.5: 0.7%). The multidimensional climatic niche of P. solenopsis was highly conservative. The species distribution model was suitable for analyzing its invasion risk. The northward spread was obvious, and climate change had less impact on the pest.

Key words: biological invasion, niche conservatism, hypervolume niche, Phenacoccus solenopsis, MaxEnt model, climate change