Species' range model metadata standards: RMMS
Species' range model metadata standards: RMMS
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物种范围模型元数据标准：RMMS
DOI：
10.1111/geb.12993
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发表时间：
2019
影响因子：
6.4
通讯作者：
Guisan, Antoine
中科院分区：
文献类型：
--
作者：
Merow, Cory;Maitner, Brian S.;Owens, Hannah L.;Kass, Jamie M.;Enquist, Brian J.;Jetz, Walter;Guralnick, Rob;Guisan, Antoine
物种的地理范围和生态位是生态学、进化和保护中广泛使用的概念，许多建模方法已经被开发出来以量化每一个。利基和分布建模方法需要一系列的设计选择;子学科之间的差异造成了沟通障碍，增加了科学进步的孤立。因此，理解和复制他人的作品是困难的，如果不是不可能的话。评估一个模型是否为预期的应用程序或后续的重用而适当地构建，这通常是一个挑战。在这里，我们提出了一个标准化的模型元数据框架，使研究人员能够理解和评估建模决策，同时使模型完全可引用和可复制。这种可重复性对科学和政策报告都至关重要，而国际标准化则可以更好地比较不同的情景和研究组。InnovationRange建模元数据（RMMS）解决了三个挑战：它们（a）旨在方便鼓励使用，（B）适应各种各样的应用，（c）可扩展，允许研究界根据需要引导它们。RMMS是基于一个元数据字典，指定了一个层次结构，目录范围建模过程的不同方面。该词典平衡了受约束的最低限度的词汇，以提高标准化，并为用户提供修改和扩展的灵活性。为了方便使用，我们开发了一个R软件包rangeModelMetaData，用于构建模板，自动填充常见建模对象的值，检查与标准的不一致，并建议值。主要结论Range Modeling Metadata工具通过改善评估，模型共享，模型搜索，比较和研究之间的可重复性，促进了地理学，保护和相关学科的跨学科进步。我们最初提出的标准旨在随着研究趋势和需求的变化而进行修改和扩展。
AimThe geographic range and ecological niche of species are widely used concepts in ecology, evolution and conservation and many modelling approaches have been developed to quantify each. Niche and distribution modelling methods require a litany of design choices; differences among subdisciplines have created communication barriers that increase isolation of scientific advances. As a result, understanding and reproducing the work of others is difficult, if not impossible. It is often challenging to evaluate whether a model has been built appropriately for its intended application or subsequent reuse. Here, we propose a standardized model metadata framework that enables researchers to understand and evaluate modelling decisions while making models fully citable and reproducible. Such reproducibility is critical for both scientific and policy reports, while international standardization enables better comparison between different scenarios and research groups.InnovationRange modelling metadata (RMMS) address three challenges: they (a) are designed for convenience to encourage use, (b) accommodate a wide variety of applications, and (c) are extensible to allow the research community to steer them as needed. RMMS are based on a metadata dictionary that specifies a hierarchical structure to catalogue different aspects of the range modelling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to modify and extend. To facilitate use, we have developed an R package,rangeModelMetaData, to build templates, automatically fill values from common modelling objects, check for inconsistencies with standards, and suggest values.Main conclusionsRange Modelling Metadata tools foster cross‐disciplinary advances in biogeography, conservation and allied disciplines by improving evaluation, model sharing, model searching, comparisons and reproducibility among studies. Our initially proposed standards here are designed to be modified and extended to evolve with research trends and needs.
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物种分布模型之间互操作性元数据标准的应用
DOI：
--
发表时间：
2015
期刊：
International Conference on Metadata and Semantics Research
影响因子：
--
作者：
Cleverton Ferreira Borba;P. L. Corrêa
通讯作者：
P. L. Corrêa
DOI：
10.1002/joc.5086
发表时间：
2017-10-01
期刊：
INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子：
--
作者：
Fick, Stephen E.;Hijmans, Robert J.
通讯作者：
Hijmans, Robert J.
影响因子：
4.1
作者：
J. Serra-Diaz;B. Enquist;Brian Salvin Maitner;C. Merow;Jens‐Christian Svenning
通讯作者：
J. Serra-Diaz;B. Enquist;Brian Salvin Maitner;C. Merow;Jens‐Christian Svenning
影响因子：
6.6
作者：
Maitner, Brian S.;Boyle, Brad;Enquist, Brian J.
通讯作者：
Enquist, Brian J.
推进我们对仅存在和可用分析的思考。
影响因子：
4.8
作者：
D. Warton;G. Aarts
通讯作者：
G. Aarts