College of Forestry, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China.
Pest Management Station, Shanxi Poplar Fertility Experimental Bureau of Sanggan River, Datong 037000, Shanxi, China.
Ying Yong Sheng Tai Xue Bao. 2023 Jun;34(6):1649-1658. doi: 10.13287/j.1001-9332.202306.018.
The cotton mealybug , 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 -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 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.
棉粉蚧是一种全球性入侵昆虫,被列为农业和林业的国家检疫性有害生物,严重威胁中国的生物安全。生态位保守性是物种分布模型的关键假设。评估生态位模型在评估棉粉蚧入侵风险中的适用性,并进一步优化模型复杂性,具有理论和实际意义。本研究基于 706 个发生记录和关键生物气候变量,利用多维超体积生态位分析方法量化了该害虫在原产和入侵地的气候生态位超体积,并进一步检验了生态位保守性假设。优化了最大熵模型参数,以预测该粉蚧在当前和未来中国气候情景下的入侵风险。结果表明,4 个气候变量(年平均温度、最湿季度平均温度、最暖季度平均温度和最干季度降水量)是影响棉粉蚧分布的关键气候因素。与原产气候生态位(超体积体积 HV=40.43)相比,棉粉蚧在入侵地区的生态位超体积显著减小(HV=6.04)。生态位收缩(每个超体积所包含的空间的净差异为 0.84)解释了 98.8%的生态位分化,而生态位转移(超体积之间空间的替代为 0.01)的贡献小于 2%。该粉蚧在不同入侵地区的气候生态位收缩方向并不完全一致。最大熵模型的默认参数不可靠(ΔAICc=14.27),最佳参数组合为:特征组合为线性-二次-铰链-乘积,正则化乘数为 0.5。棉粉蚧最适宜的栖息地集中在淮河流域-秦岭山脉线以南,中北部省份包含大面积低适宜栖息地。到 21 世纪末,适宜栖息地的增加并不显著(SSP1-2.6:1.7%,SSP5-8.5:0.7%)。的多维气候生态位高度保守。物种分布模型适合分析其入侵风险。该物种的北移趋势明显,气候变化对该害虫的影响较小。