Moo-Llanes D A, Arque-Chunga W, Carmona-Castro O, Yañez-Arenas C, Yañez-Trujillano H H, Cheverría-Pacheco L, Baak-Baak C M, Cáceres A G
Departamento de Ciencias, Facultad de Medicina, Universidad Nacional Autónoma de México, México City, México.
Departamento de Zoología de Invertebrados, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, Monterrey, México.
Med Vet Entomol. 2017 Jun;31(2):123-131. doi: 10.1111/mve.12219. Epub 2017 Feb 2.
The Peruvian Andes presents a climate suitable for many species of sandfly that are known vectors of leishmaniasis or bartonellosis, including Lutzomyia peruensis (Diptera: Psychodidae), among others. In the present study, occurrences data for Lu. peruensis were compiled from several items in the scientific literature from Peru published between 1927 and 2015. Based on these data, ecological niche models were constructed to predict spatial distributions using three algorithms [Support vector machine (SVM), the Genetic Algorithm for Rule-set Prediction (GARP) and Maximum Entropy (MaxEnt)]. In addition, the environmental requirements of Lu. peruensis and three niche characteristics were modelled in the context of future climate change scenarios: (a) potential changes in niche breadth; (b) shifts in the direction and magnitude of niche centroids, and (c) shifts in elevation range. The model identified areas that included environments suitable for Lu. peruensis in most regions of Peru (45.77%) and an average altitude of 3289 m a.s.l. Under climate change scenarios, a decrease in the distribution areas of Lu. peruensis was observed for all representative concentration pathways. However, the centroid of the species' ecological niche showed a northwest direction in all climate change scenarios. The information generated in this study may help health authorities responsible for the supervision of strategies to control leishmaniasis to coordinate, plan and implement appropriate strategies for each area of risk, taking into account the geographic distribution and potential dispersal of Lu. peruensis.
秘鲁安第斯山脉的气候适宜多种白蛉生存,这些白蛉是利什曼病或巴尔通体病的已知传播媒介,其中包括秘鲁罗蛉(双翅目:毛蠓科)等。在本研究中,秘鲁罗蛉的出现数据是从1927年至2015年间在秘鲁发表的科学文献中的多个项目中汇编而来的。基于这些数据,使用三种算法[支持向量机(SVM)、规则集预测遗传算法(GARP)和最大熵(MaxEnt)]构建了生态位模型,以预测空间分布。此外,还在未来气候变化情景的背景下对秘鲁罗蛉的环境需求和三个生态位特征进行了建模:(a)生态位宽度的潜在变化;(b)生态位质心方向和幅度的变化,以及(c)海拔范围的变化。该模型确定的区域包括秘鲁大部分地区(45.77%)适合秘鲁罗蛉生存的环境,平均海拔为海拔3289米。在气候变化情景下,所有代表性浓度路径下秘鲁罗蛉的分布区域均出现减少。然而,在所有气候变化情景下,该物种生态位的质心均呈西北方向。本研究生成的信息可能有助于负责监督利什曼病控制策略的卫生当局,考虑到秘鲁罗蛉的地理分布和潜在扩散情况,为每个风险区域协调、规划和实施适当的策略。