Abstract：
BACKGROUND: The biological control agent Phytoseiulus persimilis is a commercialized specialist predator of two agricultural pest mite species Tetranychus urticae and Tetranychus evansi. Biocontrol of these pest species by P. persimilis has achieved success in biological control in some areas. However, the lack of precise information about the influence of global climate change on the worldwide distribution of this biocontrol agent hampers international efforts to manage pest mites with P. persimilis. With 276 occurrence records and 19 bioclimatic variables, this study investigated the potential global distribution of P. persimilis.
RESULTS: The results demonstrated that the Maximum Entropy (MaxEnt) model performed well, with the area under the curve being 0.956, indicating the high accuracy of this model. Two variables, the minimum temperature of the coldest month (Bio_6) and precipitation of the coldest quarter (Bio_19) were the most important environmental variables that influenced the distribution of P. persimilis, contributing more than 30% to the model, respectively. The suitable area currently occupies 21.67% of the world\'s land area, spanning latitudes between 60°S and 60°N. Under shared socio-economic pathway (SSP) 5-8.5 (high-carbon emissions), the low suitable area would increase by 1.31% until the 2050s.
CONCLUSIONS: This study successfully identified that south-eastern China, parts of countries in the Mediterranean coastal regions, including Libya, Algeria, Portugal, Spain, and France, are climatically favorable regions for P. persimilis, providing valuable information about the potential areas where it can be effectively exploited as biocontrol agents in classical biological control programs to manage pest spider mites environmentally friendly. © 2024 Society of Chemical Industry.
RESULTS: The results demonstrated that the Maximum Entropy (MaxEnt) model performed well, with the area under the curve being 0.956, indicating the high accuracy of this model. Two variables, the minimum temperature of the coldest month (Bio_6) and precipitation of the coldest quarter (Bio_19) were the most important environmental variables that influenced the distribution of P. persimilis, contributing more than 30% to the model, respectively. The suitable area currently occupies 21.67% of the world\'s land area, spanning latitudes between 60°S and 60°N. Under shared socio-economic pathway (SSP) 5-8.5 (high-carbon emissions), the low suitable area would increase by 1.31% until the 2050s.
CONCLUSIONS: This study successfully identified that south-eastern China, parts of countries in the Mediterranean coastal regions, including Libya, Algeria, Portugal, Spain, and France, are climatically favorable regions for P. persimilis, providing valuable information about the potential areas where it can be effectively exploited as biocontrol agents in classical biological control programs to manage pest spider mites environmentally friendly. © 2024 Society of Chemical Industry.
摘要：
背景：生物防治剂Phytoseiuluspersimilis是两种农业害虫螨物种Tetranychusurticae和Tetranychusevansi的商业化专业捕食者。Persimilis对这些害虫的生物防治在某些地区已经取得了成功。然而,缺乏有关全球气候变化对这种生物防治剂在全球范围内分布的影响的准确信息，阻碍了国际上努力管理带有P.persimiis的害虫螨。有276个发生记录和19个生物气候变量，这项研究调查了潜在的全球分布。
结果：结果表明，最大熵（MaxEnt）模型表现良好，曲线下面积为0.956，表明该模型的准确性较高。两个变量,最冷月份的最低温度（Bio_6）和最冷季度的降水（Bio_19）是影响P的分布的最重要的环境变量，对模型的贡献率超过30%，分别。适宜面积目前占世界陆地面积的21.67%,横跨60°S和60°N之间的纬度在共享社会经济途径(SSP)5-8.5(高碳排放)下，低适宜面积将增加1.31%，直到2050年代。
结论：这项研究成功地确定了中国东南部，地中海沿岸地区的部分国家，包括利比亚,阿尔及利亚,葡萄牙,西班牙,和法国,是气候有利的地区，提供有关潜在领域的有价值的信息，在这些领域中，它可以有效地用作经典生物防治计划中的生物防治剂，以环保地管理害虫蜘蛛螨。©2024化学工业学会。
结果：结果表明，最大熵（MaxEnt）模型表现良好，曲线下面积为0.956，表明该模型的准确性较高。两个变量,最冷月份的最低温度（Bio_6）和最冷季度的降水（Bio_19）是影响P的分布的最重要的环境变量，对模型的贡献率超过30%，分别。适宜面积目前占世界陆地面积的21.67%,横跨60°S和60°N之间的纬度在共享社会经济途径(SSP)5-8.5(高碳排放)下，低适宜面积将增加1.31%，直到2050年代。
结论：这项研究成功地确定了中国东南部，地中海沿岸地区的部分国家，包括利比亚,阿尔及利亚,葡萄牙,西班牙,和法国,是气候有利的地区，提供有关潜在领域的有价值的信息，在这些领域中，它可以有效地用作经典生物防治计划中的生物防治剂，以环保地管理害虫蜘蛛螨。©2024化学工业学会。
