Abstract Researchers are challenged to design research that can generate credible claims regarding cross-scale impact and adoption. However, the context in which new knowledge or innovation is developed and tested may differ from that for the uptake and use of those findings. This paper reports insight into the problem of designing impactful research and proposes a model to assist bio-physical researchers in accounting for non-biophysical context when moving between scales or settings. We treat the scaling problem as the one shifting contexts. The use of the model is illustrated by application in two New Zealand-based irrigation water use efficiency (WUE) field studies. We hypothesised that to successfully transfer the learnings from these two pilot studies to other scales it would be important to understand the influence of context on WUE practices. To support this process, we developed a social dynamics model (Composite Context Model, CCM) from existing social systems frameworks. The CCM maps influential non-biophysical dynamics to help interpret the WUE field study findings for other scales. The paper represents a contribution to researchers addressing two related challenges: that of making credible claims regarding the possible future impact of their research, and that of translating innovations across scales. By demonstrating the use of our CCM for documenting key non-biophysical variables, we aim to equip researchers with a practical tool to assist in the interpretation of findings across contexts, that include both biophysical and non-biophysical factors.

中文翻译：

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将试点研究的影响转移到其他规模：使用基于田间的灌溉研究了解非生物物理因素的作用

摘要 研究人员面临着设计研究的挑战，这些研究可以产生关于跨规模影响和采用的可信声明。但是，开发和测试新知识或创新的背景可能与采纳和使用这些发现的背景不同。本文报告了对设计有影响力的研究问题的见解，并提出了一个模型，以帮助生物物理研究人员在不同尺度或设置之间移动时考虑非生物物理环境。我们将缩放问题视为一个不断变化的上下文。通过在新西兰的两项灌溉用水效率 (WUE) 实地研究中的应用，说明了该模型的使用。我们假设要成功地将这两项试点研究的学习成果转移到其他规模，了解环境对 WUE 实践的影响非常重要。为了支持这个过程，我们从现有的社会系统框架开发了一个社会动态模型（复合上下文模型，CCM）。CCM 绘制了有影响的非生物物理动力学，以帮助解释其他尺度的 WUE 实地研究结果。这篇论文代表了对研究人员解决两个相关挑战的贡献：就他们研究的未来可能产生的影响做出可信的声明，以及跨尺度转化创新。通过展示使用我们的 CCM 记录关键的非生物物理变量，我们的目标是为研究人员提供一种实用工具，以帮助解释跨上下文的发现，