A checklist for maximizing reproducibility of ecological niche models
A checklist for maximizing reproducibility of ecological niche models
复制标题
DOI：
10.1038/s41559-019-0972-5
复制
发表时间：
2019-10-01
影响因子：
16.8
通讯作者：
Popes, Monica
中科院分区：
文献类型：
--
作者：
Feng, Xiao;Park, Daniel S.;Popes, Monica
报告特定的建模方法和元数据对于生态研究的可重复性至关重要，但关于应注意哪些信息的指导方针却很少存在。在这里，我们解决这个问题的生态位建模或物种分布建模，一个快速发展的工具集，在生态学中使用的生物多样性科学的许多方面。我们对最近文献的定量审查表明，普遍缺乏足够的信息来完全再现这项工作。超过三分之二的研究忽略了报告基础数据的版本或访问日期，只有一半报告了模型参数。为了解决这个问题，我们建议采用一个清单，以指导研究报告至少最低限度的生态位建模再现性所需的信息，提供了一个简单的方法来平衡效率和准确性。我们鼓励生态位建模社区，以及期刊审稿人和编辑，利用和进一步发展这个框架，以促进和提高未来工作的可重复性。拟议的清单框架可推广到其他生态领域，特别是那些利用生物多样性数据、环境数据和统计建模的领域，也可被更广泛的学科采用。
Reporting specific modelling methods and metadata is essential to the reproducibility of ecological studies, yet guidelines rarely exist regarding what information should be noted. Here, we address this issue for ecological niche modelling or species distribution modelling, a rapidly developing toolset in ecology used across many aspects of biodiversity science. Our quantitative review of the recent literature reveals a general lack of sufficient information to fully reproduce the work. Over two-thirds of the examined studies neglected to report the version or access date of the underlying data, and only half reported model parameters. To address this problem, we propose adopting a checklist to guide studies in reporting at least the minimum information necessary for ecological niche modelling reproducibility, offering a straightforward way to balance efficiency and accuracy. We encourage the ecological niche modelling community, as well as journal reviewers and editors, to utilize and further develop this framework to facilitate and improve the reproducibility of future work. The proposed checklist framework is generalizable to other areas of ecology, especially those utilizing biodiversity data, environmental data and statistical modelling, and could also be adopted by a broader array of disciplines.