超越指南、协议和缩略语:良好建模实践的采用取决于对生态学学术现状的挑战

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Tatiane Micheletti , Marie-Christin Wimmler , Uta Berger , Volker Grimm , Eliot J. McIntire
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引用次数: 0

摘要

在生态科学中实施良好建模实践(GMP)是提高科学可靠性的关键。尽管有越来越多的指南和协议详细说明了如何实施 FAIR 和 PERFICT 等原则来改进良好的建模实践,但能够重现结果和工作流程的代码共享率仍然非常低。在这项工作中,我们探讨了造成这种差异的潜在根源。根据我们的经验,我们发现当前学术结构中固有的三个关键因素可能会阻碍更广泛地采用 GMP:(1) 承认在项目中实施 GMP 所需的时间,(2) 生态学家缺乏 GMP 和软件开发培训,(3) 认为 GMP 在短期内没有回报。我们认为,迫切需要进行系统性变革。这些变革包括:(1) 文化转变,重视将 GMP 纳入各个项目,强调需要明确分配预算并仔细安排实施时间;(2) 重新设计学术课程,明确将 GMP 和软件开发作为生态学的基础学科;(3) 提高对开放式功能代码和工作流程的认可,以促进职业发展。我们呼吁大家齐心协力缩小这一差距,并提出了一个充满希望的前景,强调新一代科学家和致力于良好科学的工具的作用。我们提出了具体的行动建议,旨在就挑战生态学的学术现状展开讨论,并支持科学家为生态建模带来重大的范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond guides, protocols and acronyms: Adoption of good modelling practices depends on challenging academia's status quo in ecology

Implementing good modelling practices (GMP) in ecological sciences is key to improving scientific reliability. Despite the increased availability of guidelines and protocols detailing how principles such as FAIR and PERFICT can be implemented to improve good modelling practices, the sharing of code which can reproduce results and workflows remains remarkably low. In this work, we explore potential root causes of this discrepancy. We identify three key factors inherent to the current academic structure that, in our experience, might play a role in hindering a wider adoption of GMP: (1) acknowledgment of the time required to implement GMP in projects, (2) the lack of GMP and software development training among ecologists, and (3) perception of GMP as unrewarding in the short-term. We argue that there is an urgent need for systemic changes. Such changes include (1) a cultural shift to value the incorporation of GMP across projects, emphasising the need for explicit budget allocation and careful scheduling of its implementation, (2) redesigning academic curricula to explicitly include GMP and software development as fundamental disciplines in ecology, and (3) an increase in recognition of open and functional code and workflows for career advancement. We call for concerted efforts for bridging this gap, and propose a hopeful outlook emphasising the role of a new generation of scientists and tools committed to good science. Proposing concrete actions, we aim to start a discussion on challenging academia's status quo in ecology and support scientists in bringing a significant paradigm shift to ecological modelling.

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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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