Almarinez Billy Joel M, Fadri Mary Jane A, Lasina Richard, Tavera Mary Angelique A, Carvajal Thaddeus M, Watanabe Kozo, Legaspi Jesusa C, Amalin Divina M
Biology Department, College of Science, De La Salle University, Taft Avenue, Manila 1004, Philippines.
Biological Control Research Unit, Center for Natural Science and Environmental Research, De La Salle University, Taft Avenue, Manila 1004, Philippines.
Insects. 2021 Jan 4;12(1):26. doi: 10.3390/insects12010026.
is a host-specific endoparasitoid and effective biological control agent of the diaspidid , whose outbreak from 2010 to 2015 severely threatened the coconut industry in the Philippines. Using the maximum entropy (Maxent) algorithm, we developed a species distribution model (SDM) for based on 19 bioclimatic variables, using occurrence data obtained mostly from field surveys conducted in A. rigidus-infested areas in Luzon Island from 2014 to 2016. The calculated the area under the ROC curve (AUC) values for the model were very high (0.966, standard deviation = 0.005), indicating the model's high predictive power. Precipitation seasonality was found to have the highest relative contribution to model development. Response curves produced by Maxent suggested the positive influence of mean temperature of the driest quarter, and negative influence of precipitation of the driest and coldest quarters on habitat suitability. Given that has been found to always occur with in Luzon Island due to high host-specificity, the SDM for the parasitoid may also be considered and used as a predictive model for its host. This was confirmed through field surveys conducted between late 2016 and early 2018, which found and confirmed the occurrence of in three areas predicted by the SDM to have moderate to high habitat suitability or probability of occurrence of : Zamboanga City in Mindanao; Isabela City in Basilan Island; and Tablas Island in Romblon. This validation in the field demonstrated the utility of the bioclimate-based SDM for in predicting habitat suitability or probability of occurrence of in the Philippines.
是一种寄主特异性内寄生蜂,也是盾蚧科的有效生物防治剂,2010年至2015年该盾蚧科的爆发严重威胁了菲律宾的椰子产业。我们使用最大熵(Maxent)算法,基于19个生物气候变量,利用主要从2014年至2016年在吕宋岛受硬蚧侵害地区进行的实地调查获得的出现数据,为其开发了一个物种分布模型(SDM)。该模型计算的ROC曲线下面积(AUC)值非常高(0.966,标准差 = 0.005),表明该模型具有很高的预测能力。发现降水季节性对模型开发的相对贡献最大。Maxent生成的响应曲线表明,最干燥季度的平均温度有积极影响,而最干燥和最寒冷季度的降水对栖息地适宜性有负面影响。鉴于由于寄主特异性高,在吕宋岛已发现该寄生蜂总是与寄主同时出现,该寄生蜂的SDM也可被视为并用作其寄主的预测模型。这通过2016年末至2018年初进行的实地调查得到了证实,该调查在SDM预测具有中等至高栖息地适宜性或出现概率的三个地区发现并确认了该寄生蜂的出现:棉兰老岛的三宝颜市;巴西兰岛的伊莎贝拉市;以及朗芒芽地的塔布拉斯岛。实地验证证明了基于生物气候的该寄生蜂SDM在预测菲律宾栖息地适宜性或出现概率方面的实用性。