Lycorma delicatula (Hemiptera: Fulgoridae) is an invasive insect in Korea which causes plant damages by sucking and sooty molds. Lycorma delicatula was first detected in South Korea in 2004, where its introduction and spreading possibly were affected by human activity-related factors. Here, we used MaxEnt to describe current distribution of L. delicatula in Korea and tried to find out the impact of human influences on distribution. We used 143 sites of occurrence data, 19 bioclimatic variables, duration of temperature below −11 °C, average daily minimum temperature in January, cumulative thermal unit variable, the distribution of grape orchard variable and human footprint to create models. These models were estimated by two sets of 24 candidates with feature combinations and regularization multipliers. In addition, these two sets were created as models with and without footprint to assess human influence on distribution. Model selection for optimal model was performed by selecting a model with a lowest sum of each rank in small sample-size corrected Akaike’s information criterion and difference between training and test AUC. Model of LQ10 parameter combinations was selected as optimal models for both model sets. Consequently, both of distribution maps from these models showed similar patterns of presence probability for L. delicatula. Both models expected that low altitude regions were relatively more suitable for L. delicatula than mountain areas in Korea. Footprint might be limited for the distribution and L. delicatula might already occupy most of available habitats. Human-related factors might contribute to spread of L. delicatula to uninfected areas.

Lycorma delicatula（Hemiptera：Fulgoridae）是一种在韩国入侵的昆虫，会通过吸吮和烟熏霉菌对植物造成损害。小花狼蛛最初于2004年在韩国被发现，其引入和传播可能受到与人类活动相关的因素的影响。在这里，我们使用MaxEnt来描述L. delicatula的当前分布并试图找出人为因素对分配的影响。我们使用143个发生地点数据，19个生物气候变量，低于-11°C的温度持续时间，一月份的每日平均最低温度，累积热单位变量，葡萄果园变量的分布和人类足迹来创建模型。这些模型是由两组具有特征组合和正则化乘数的24个候选者估计的。此外，这两个集合被创建为具有和不具有足迹的模型，以评估人类对分布的影响。最佳模型的模型选择是通过在小样本量校正的Akaike信息准则中选择每个等级的总和最低的模型以及训练和测试AUC之间的差异来进行的。选择LQ10参数组合的模型作为两个模型集的最佳模型。因此，这些模型的分布图都显示了相似的存在概率纤细的L. delicatula。两种模型都期望低海拔地区比韩国山区更适合纤细乳杆菌。足迹可能因分布而受到限制，而纤细乳杆菌可能已经占据了大多数可用的栖息地。与人有关的因素可能会导致纤细乳杆菌向未感染区域传播。