A review on modelling forest biogeochemistry and the coupled forest – soil interactions in a changing world

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-02-17 DOI:10.1016/j.envsoft.2025.106381
Felix Sauke , Rico Fischer , Michael Rode
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Abstract

Forests have many functions, including habitat provision, timber production, and carbon sequestration, but they are under increasing pressure. Coupled forest - soil models are therefore of great importance for a better understanding of forest development, and biogeochemical cycles in a changing world. This study provides a decision support framework for researchers to select appropriate models to study the forest - soil system. We analyzed 36 models, including forest models, soil models, and coupled forest - soil models. These models vary across spatio-temporal scales, from hourly to multi-year time steps, and from individual trees to catchments. We provide an overview about the general approaches and exact process implementations of those models to facilitate model choices for specific research questions. While an all-encompassing 'Swiss Army knife' forest - soil model which captures all features of both forest and soil complexity does not exist, tailor-made models are possible to suit specific research interests.
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在不断变化的世界中模拟森林生物地球化学和森林-土壤耦合相互作用的综述
森林具有多种功能,包括提供栖息地、生产木材和固碳,但它们正面临越来越大的压力。因此,森林-土壤耦合模型对于更好地理解不断变化的世界中的森林发展和生物地球化学循环具有重要意义。该研究为研究人员选择合适的森林-土壤系统模型提供了决策支持框架。我们分析了36个模型,包括森林模型、土壤模型和森林-土壤耦合模型。这些模型在时空尺度上各不相同,从小时到多年的时间步长,从单个树木到集水区。我们提供了关于这些模型的一般方法和精确过程实现的概述,以方便对特定研究问题的模型选择。虽然不存在一个包罗万象的“瑞士军刀”森林-土壤模型,它可以捕捉森林和土壤复杂性的所有特征,但可以根据具体的研究兴趣定制模型。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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