通过综合建模分析景观的多功能性

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-06-15 DOI:10.1016/j.envsoft.2024.106116
Borjana Bogatinoska , Angelique Lansu , Jean Hugé , Muhammad Haris Ali , Stefan C. Dekker , Jetse Stoorvogel
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引用次数: 0

摘要

本研究通过创新的综合建模方法,解决了分析多功能景观这一具有挑战性的任务。认识到学科模型在评估多样化景观功能方面的局限性,我们提出了一个将这些模型整合在一起的概念框架。在荷兰的一个案例研究中,我们评估了干旱和碳封存的替代土地利用变化,展示了这种方法的可行性和有效性。研究结果表明,该框架能够在多次模型运行和迭代中有效阐明碳与水之间错综复杂的关系。值得注意的是,在四次模型运行中,替代土地利用方案显示了干旱期土壤水分的平均增加和土壤有机碳含量的增加。这种软耦合方法为环境建模提供了宝贵的见解,有助于研究人员和实践人员应对复杂的集成挑战。此外,它还通过阐明变量表示和过程提高了建模的透明度,为可持续景观管理的明智决策奠定了基础。
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Analysing landscape multi-functionality by integrated modelling

This study addresses the challenging task of analysing multifunctional landscapes through an innovative integrated modelling approach. Acknowledging the limitations of disciplinary models in assessing diverse landscape functions, we present a conceptual framework for their integration. Demonstrating the feasibility and effectiveness of this approach in a Netherlands case study, we assess alternative land use changes for drought and carbon sequestration. Results underscore the framework's efficacy in elucidating the intricate relationship between carbon and water across multiple model runs and iterations. Notably, the alternative land use scenario reveals an average increase in soil moisture during dry periods and an increase in soil organic carbon content across four model runs. This softly coupled approach offers valuable insights into environmental modelling, facilitating navigation of complex integration challenges for researchers and practitioners. Furthermore, it enhances modelling transparency by elucidating variable representation and processes, providing a foundation for informed decisions in sustainable landscape management.

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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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