Abstract

The MaxEnt software package is one of the most popular tools for species-distribution modeling. Despite its popularity, researchers usually underestimate the influence of the initial parameters and spatial bias in the occurrence data. The choice of the feature types and regularization multiplier notably affects the spatial “compactness” or “smoothness” of the model. A nonrandom distribution of occurrence points in geographical space requires data correction. The determination of the ecological factors that influence the range formation require the minimization of multicollinearity in the predictor dataset.

中文翻译：

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物种分布建模：其应用的优势和局限性。2. MaxEnt

摘要

MaxEnt 软件包是最流行的物种分布建模工具之一。尽管它很受欢迎，但研究人员通常低估了发生数据中初始参数和空间偏差的影响。特征类型和正则化乘数的选择显着影响模型的空间“紧凑性”或“平滑性”。地理空间中发生点的非随机分布需要数据校正。确定影响范围形成的生态因素需要最小化预测数据集中的多重共线性。