Altamiranda-Saavedra Mariano, Amat Eduardo, Gómez-P Luz Miryam
Grupo de Investigación Bioforense, Facultad de Derecho y Ciencias Forenses, Tecnológico de Antioquia Institución Universitaria, Medellín, Colombia.
Grupo de investigación GESTAS, Politécnico Colombiano Jaime Isaza Cadavid, Medellín, Colombia.
PeerJ. 2020 Dec 7;8:e10370. doi: 10.7717/peerj.10370. eCollection 2020.
Blow flies are a family of dipterans of medical, veterinary and sanitary importance. We aim to predict the current geographical distribution of six neotropical blowfly species with different altitudinal ranges of distribution (high, medium, and lowlands) and degree of synanthropy (eusynanthropic, hemisynanthropic and asynanthropic) based on their existing fundamental niche (E) in Northwestern South America.
Geographical records were compiled based on data from museum specimens and literature. The accessible area hypothesis (M) was calculated based on three criteria: (1) Altitudinal range, (2) Synanthropy values deducted based on the Human Influence Index (HII) raster dataset, and (3). The mean dispersal capability of flies. The modeling was performed using the Maxent entropy modeling software. The selection of parameters was made with the R Program ENMeval package.
The models were assessed using the area under the operator-partial receiver curve (ROCp). The high statistical performance was evidenced in every modeling prediction. The modeling allowed identifying possible taxonomic inaccuracies and the lack of exhaustive collection in the field, especially for lowlands species. Geographical distribution predicted by the modeling and empirical data was remarkably coherent in montane species.
The data obtained evidence that montane elevational ranges affect the performance of the distribution models. These models will allow a more precise predicting of medium and high elevation blow flies than lowlands species. Montane species modeling will accurately predict the fly occurrence to use such biological information for medical, legal, veterinary, and conservation purposes.
丽蝇是双翅目昆虫的一个科，具有医学、兽医学和卫生学重要性。我们旨在根据南美洲西北部六种新热带丽蝇物种现有的基础生态位（E），预测它们在不同海拔分布范围（高、中、低地）和共栖程度（全共栖、半共栖和非共栖）下的当前地理分布。
基于博物馆标本和文献数据汇编地理记录。可及区域假说（M）基于三个标准计算：（1）海拔范围，（2）根据人类影响指数（HII）栅格数据集扣除的共栖值，以及（3）苍蝇的平均扩散能力。使用Maxent熵建模软件进行建模。参数选择使用R程序ENMeval包。
使用操作符部分接收器曲线下面积（ROCp）评估模型。每个建模预测都显示出高统计性能。建模有助于识别可能的分类学不准确之处以及野外采集的不详尽，特别是对于低地物种。建模预测的地理分布与山地物种的经验数据非常一致。
获得的数据证明山地海拔范围会影响分布模型的性能。这些模型将比低地物种更精确地预测中高海拔丽蝇。山地物种建模将准确预测苍蝇的出现，以便将此类生物信息用于医学､法律､兽医学和保护目的。
