Effects of data prevalence on species distribution modelling using a genetic Takagi-Sugeno fuzzy system
Effects of data prevalence on species distribution modelling using a genetic Takagi-Sugeno fuzzy system
复制标题
数据流行度对使用遗传 Takagi-Sugeno 模糊系统的物种分布建模的影响
DOI：
10.1109/gefs.2013.6601051
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Shinji Fukuda
中科院分区：
文献类型：
--
作者：
Yamazaki T;Ichinohe T;Shinji Fukuda
来自观测数据和建模方法的不确定性会影响模型的准确性，从而影响模型的适用性和可靠性。本文旨在评估数据普及率的影响（即，在整个数据集的存在比例）的物种分布建模和栖息地偏好评价使用0阶遗传Takagi-Sugeno模糊模型。根据模型精度和栖息地偏好曲线（HPC）的影响进行了评估。为了避免数据的不确定性，虚拟物种的数据生成使用假设的HPC在不同的假设下的栖息地变量和栖息地偏好的虚拟鱼之间的相互作用。在三种不同的相互作用的情况下，共产生了十三个数据集。根据数据的普遍性，所产生的模型的模型精度是不同的，而不同的相互作用情景下的数据集之间的不同趋势被观察到。虽然HPC形状在数据集之间相似，但HPC根据数据流行率而不同，其中较高的流行率可导致均匀的HPC。这项研究表明，数据流行的物种分布建模的可能影响。需要进一步研究，以更好地科普生态建模中与流行相关的问题。
Uncertainties originating from observation data and modelling approaches can affect model accuracy and thus impact on the applicability and reliability of a model. This paper aims to assess the effects of data prevalence (i.e., proportion of presence in the entire data set) on species distribution modelling and habitat preference evaluation using a 0-order genetic Takagi-Sugeno fuzzy model. The effects were evaluated based on the model accuracy and habitat preference curves (HPCs). In order to avoid the data uncertainty, virtual species data were generated using hypothetical HPCs under different assumptions on the interaction between habitat variables and habitat preference of a virtual fish. In total, thirteen data sets under three different interaction scenarios were generated. The model accuracy of resulting models was different according to the data prevalence, whereas different trends between data sets under different interaction scenarios were observed. Although the HPC shapes were similar across data sets, the HPCs were different according to the data prevalence, of which a higher prevalence can result in a uniform HPC. This study demonstrates possible influences of data prevalence on the species distribution modelling. Further study is needed for a better solution to cope with the prevalence-related problems in ecological modelling.