应用生态学报2017，Vol.28Issue(6)：2063-2072,10.DOI:10.13287/j.1001-9332.201706.006
物种分布模型在海洋潜在生境预测的应用研究进展
Application of species distribution models in the prediction of marine potential habitat: A review
摘要
Abstract
The relationship between the distribution of halobios and environmental variables has been a focus of present research in marine ecology.Species distribution models (SDMs) have been widely employed to predict the distribution patterns and potential habitat suitability assessments of marine species and provide an efficient approach for marine biodiversity conservation,invasive species prevention,and fishery management.SDMs mainly include habitat suitability index models,mechanism models,and statistical models.In this paper,the theoretical basis of SDMs was firstly concluded and summarized.Next,the exploitation and case-studies of SDMs,especially the statistical models,for predicting potential distribution of marine species were reviewed.Then,comparisons of various methods for variable selection and model validation were made.Conclusions could be drawn that Akaike information criterion showed excellent performance when it came to variable selection,while Kappa coefficient and Area Under receiver operating character Curve (AUC) were widely used in relation to model validation.Finally,problems and prospects of SDMs were discussed.With the development of research on physiological characteristics,using mechanism models to predict potential habitats of halobios would become a trend.关键词
物种分布模型/海洋物种/统计模型/机理模型/模型验证Key words
species distribution model/marine species/statistical model/mechanism model/model evaluation引用本文复制引用
杨晓龙,杨超杰,胡成业,张秀梅..物种分布模型在海洋潜在生境预测的应用研究进展[J].应用生态学报,2017,28(6):2063-2072,10.基金项目
本文由国家重点基础研究计划项目(2015CB453302)和国家自然科学基金项目(41676153)资助 This work was supported by the National Program on Key Basic Research Project (2015CB453302) and the National Natural Science Foundation of China (41676153). （2015CB453302）
