A mangrove Lifecycle Ecosystem Analysis and Forecasting (LEAF) model

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Thomas Dunlop, Stefan Felder, William Glamore
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引用次数: 0

Abstract

Mangroves are recognised for the ecosystem services they provide, yet practitioners lack guidance for quantifying these services over time. To overcome this knowledge gap, this study developed a numerical tool, the mangrove Lifecycle Ecosystem Analysis and Forecasting (LEAF) model, that simulates the growth and mortality of mangroves across all lifecycle stages (seedling to senescence). To test model functionality, the LEAF model (version 1.0, dated 31.01.2025) was coupled to Delft3D Flexible Mesh, where individual mangrove size, impacts of extreme events, biomass, and coastal protection parameters were monitored. Cross-shore mangrove distribution was successfully predicted in four estuary typologies over temporal domains of 5-12 years. Sensitivity analyses revealed the timing and duration of the fruiting window, inundation free period, and inundation depth as critical to forest development. Results highlight the need for field data acquisition to target these thresholds, further validate mangrove growth, and expand the model to other species and locations worldwide.
红树林生命周期生态系统分析与预测(LEAF)模型
红树林因其提供的生态系统服务而得到认可,但从业者缺乏长期量化这些服务的指导。为了克服这一知识差距,本研究开发了一个数值工具,即红树林生命周期生态系统分析和预测(LEAF)模型,该模型模拟了红树林在所有生命周期阶段(幼苗到衰老)的生长和死亡。为了测试模型的功能,将LEAF模型(1.0版本,日期为2025年1月31日)与Delft3D Flexible Mesh相结合,在其中监测单个红树林的大小、极端事件的影响、生物量和海岸保护参数。在5 ~ 12年的时间域上,成功地预测了4种河口类型的滨岸红树林分布。敏感性分析显示,结果期的时间和持续时间、无淹没期和淹没深度对森林发展至关重要。结果表明,需要实地数据采集来确定这些阈值,进一步验证红树林的生长情况,并将该模型扩展到全球其他物种和地点。
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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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