An interesting dialogue is developed between Newman et al. (2023) and Riera et al. (2023), in which proposals related to the development of equations of state in ecosystem ecology are discussed in depth. This debate is more important than it first appears, since the persistent gap between theoretical and empirical ecology is due, in part, to the absence of a comprehensive paradigm in this field. As it is exemplified in the first section of this article, a sequence of models derived from a reliable equation of state would help to bridge the aforementioned gap. Although this manuscript is analytically monolithic, five main thematic strands can be identified: (i) Examination of the objections of Newman et al. (2023), juxtaposing them with key concepts from ecology, information theory, physics and the MaxEnt algorithm. (ii) Validation of the criteria in (i) through theoretical and data-based examples. (iii) Interdisciplinary linkages between (i) and (ii). (iv) Epistemological generalizations from the previous strands to obtain a strategic roadmap for interdisciplinary modeling in ecology. (v) Conclusions referred to the general meaning of points (i) and (ii). On a general level, our objective is that this manuscript will go beyond a simple academic debate, being useful for colleagues interested in interdisciplinary modeling.

中文翻译：

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生态学跨学科建模的战略路线图：阅读“定义生态状态方程：对 Riera 等人的回应”的结果。2023′（纽曼等人，2023）

纽曼等人之间展开了一段有趣的对话。（2023）和 Riera 等人。（2023），其中深入讨论了与生态系统生态学状态方程发展相关的提案。这场争论比最初看起来更重要，因为理论生态学和经验生态学之间持续存在的差距部分是由于该领域缺乏全面的范式。正如本文第一部分所举例说明的，从可靠的状态方程导出的一系列模型将有助于弥补上述差距。尽管这份手稿在分析上是单一的，但可以确定五个主要主题：（i）对纽曼等人的反对意见的审查。（2023），将它们与生态学、信息论、物理学和 MaxEnt 算法的关键概念并列。(ii) 通过理论和基于数据的例子验证 (i) 中的标准。(iii) (i) 和 (ii) 之间的跨学科联系。(iv) 对先前的认识论进行概括，以获得生态学跨学科建模的战略路线图。(v) 结论涉及第(i)点和(ii)点的一般含义。总的来说，我们的目标是这份手稿将超越简单的学术辩论，对对跨学科建模感兴趣的同事有用。