• 首页期刊简介投稿须知编委会订阅指南留言板联系我们E-mail订阅RSSENGLISH
引用本文:朱耿平,原雪姣,范靖宇,王梦琳. MaxEnt模型参数设置对其所模拟物种地理分布和生态位的影响——以茶翅蝽为例[J]. 生物安全学报, 2018, 27(2): 118-123.
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 119次   下载 147 本文二维码信息
码上扫一扫!
分享到: 微信 更多
MaxEnt模型参数设置对其所模拟物种地理分布和生态位的影响——以茶翅蝽为例
朱耿平, 原雪姣, 范靖宇, 王梦琳
天津师范大学生命科学学院, 天津市动植物抗性重点实验室, 天津 300387
摘要:
[目的] 生态位模型被广泛应用于入侵生物学和保护生物学研究,现有建模工具中,MaxEnt是最流行和运用最广泛的生态位模型。然而最近研究表明,基于MaxEnt模型的默认参数构建模型时,模型倾向于过度拟合,并非一定为最佳模型,尤其是在处理一些分布点较少的物种。[方法] 以茶翅蝽为例,通过设置不同的特征参数、调控倍频以及背景拟不存在点数分别构建茶翅蝽的本土模型,然后将其转入入侵地来验证和比较模型,通过检测模型预测的物种对环境因子的响应曲线、潜在分布在生态空间中的生态位映射以及潜在分布的空间差异性,探讨3种参数设置对MaxEnt模型模拟物种分布和生态位的影响。[结果] 在茶翅蝽的案例分析中,特征参数的设置对MaxEnt模型所模拟的潜在分布和生态位的影响最大,调控倍频的影响次之,背景拟不存在点数的影响最小。与其他特征相比,基于特征H和T的模型其响应曲线较为曲折;随着调控倍频的增加,响应曲线变得圆滑。[结论] 在构建MaxEnt模型时,需要从生态空间中考虑物种的生态需求,分析模型参数对预测物种分布和生态位可能造成的影响。
关键词:  生态位模型  MaxEnt模型  特征参数  调控倍频  背景拟不存在点数
DOI:10.3969/j.issn.2095-1787.2018.02.007
基金项目:国家自然科学基金项目(31401962)
附件
Effects of model parameters in MaxEnt modeling of ecological niche and geographic distribution: case study of the brown marmorated stink bug, Halyomorpha haly
ZHU Gengping, YUAN Xuejiao, FAN Jingyu, WANG Menglin
Key Laboratory of Animal and Plant Resistance in Tianjin, College of Life Sciences, Tianjin Normal University, Tianjin 300387, China
Abstract:
[Aim] Ecological niche modeling is widely used in studies of biological invasion and conservation. Among available models, MaxEnt is the most popular and widely used model. Recent studies, nonetheless, showed that MaxEnt models tend to overfitting, and it may not be the ideal model when using default setting, especially for species with small sampling size.[Method] We investigated the influence of three parameters (i.e. feature combination, regularization multiplier, and maximum number of background points) on MaxEnt modeling of ecological niche and geographic distributions using the marmorated stink bug (Halyomorpha halys, Heteroptera) as a case study. Native niche models were calibrated for H. halys in eastern Asia and transferred worldwide for comparison and evaluation. Response curves of the species to environmental variables, projections of potential distribution in ecological spaces, and the variation of these potential distributions were used to investigate the effects.[Result] Feature combinations had significant effects on MaxEnt modeling outcomes of ecological niches and geographic distributions, followed by the regularization multiplier; the maximum number of background points had the least effect. We found that response curves based on features of hinge and threshold were more complicated than that based on the others; the response curves became more smooth as the regularization multipliers increased.[Conclusion] Ecological requirement of the species in its ecological space should be considered when fitting a MaxEnt model, the influence of the Maxent parameters on modeling ecological niches and geographical distributions should also be considered, rather than simply based on default settings.
Key words:  ecological niche model  MaxEnt  feature combination  regularization multiplier  background points