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.
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。