Preparatory study for carbon sequestration modelling of agroforestry systems in Hungary: The assessment of the yield class distribution of windbreaks

Éva Király, Attila Borovics
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Abstract

The escalating carbon dioxide emissions leading to global climate change are acknowledged as a paramount environmental challenge in the twenty-first century. The significance of land use systems in stabilising carbon dioxide levels and enhancing carbon sink potential has gained noteworthy attention from both the scientific and political communities. The Intergovernmental Panel on Climate Change emphasises that agroforestry systems present vital prospects for synergising climate change adaptation and mitigation efforts, offering substantial technical mitigation potential. Windbreaks are well-known agroforestry systems in Hungary and form an important part of agricultural landscapes. The improved agroforestry subsidy system in our country makes it relevant to model the carbon sequestration potential of windbreaks. In the framework of the ForestLab project we plan to develop a carbon sequestration model specific for Hungarian agroforestry systems. In this study, as a preparatory step of the model development, we assessed the yield class distribution of Hungarian windbreaks by tree species group and identified variables that had significant effect on yield class based on the data of the National Forestry Database. Our results show that among the examined effects the most important predictor of the yield class of windbreaks was the tree species group, followed by the thickness of the productive soil layer and the hydrology of the site.
匈牙利农林系统固碳模型的预备性研究:防风林产量等级分布评估
二氧化碳排放量不断攀升导致全球气候变化,已被公认为二十一世纪最严峻的环境挑战。土地利用系统在稳定二氧化碳水平和提高碳汇潜力方面的重要意义受到了科学界和政界的关注。政府间气候变化专门委员会强调,农林系统为协同适应和减缓气候变化的努力提供了重要前景,具有巨大的技术减缓潜力。防风林是匈牙利著名的农林系统,是农业景观的重要组成部分。我国完善的农林业补贴制度使得建立防风林碳固存潜力模型具有现实意义。在 ForestLab 项目框架内,我们计划开发一个专门针对匈牙利农林系统的固碳模型。在本研究中,作为模型开发的预备步骤,我们按树种组评估了匈牙利防风林的产量等级分布,并根据国家林业数据库的数据确定了对产量等级有显著影响的变量。结果表明,在所研究的影响因素中,对防风林产量等级最重要的预测因素是树种组,其次是丰产土层厚度和地点的水文情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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