以长期实验数据和碳输入的不确定性为约束，对 ICBM/3 土壤有机碳模型进行贝叶斯校准

IF 2.8 4区环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES

Carbon Management Pub Date : 2024-01-22 DOI:10.1080/17583004.2024.2304749

Lorenzo Menichetti, Thomas Kätterer, Martin A. Bolinder

引用次数: 0

摘要

不同复杂程度的模型可以评估农业中的土壤固碳量。在这项研究中，我们用 28 年的额外数据更新了入门级碳平衡模型（ICBM），并在模型中加入了...

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Bayesian calibration of the ICBM/3 soil organic carbon model constrained by data from long-term experiments and uncertainties of C inputs

Models with various complexity can asses soil C sequestration in agriculture. In this study, we updated the Introductory Carbon Balance Model (ICBM) with 28 years of additional data and included mu...

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来源期刊

Carbon Management ENVIRONMENTAL SCIENCES-

CiteScore

5.80

自引率

3.20%

发文量

期刊介绍： Carbon Management is a scholarly peer-reviewed forum for insights from the diverse array of disciplines that enhance our understanding of carbon dioxide and other GHG interactions – from biology, ecology, chemistry and engineering to law, policy, economics and sociology. The core aim of Carbon Management is it to examine the options and mechanisms for mitigating the causes and impacts of climate change, which includes mechanisms for reducing emissions and enhancing the removal of GHGs from the atmosphere, as well as metrics used to measure performance of options and mechanisms resulting from international treaties, domestic policies, local regulations, environmental markets, technologies, industrial efforts and consumer choices. One key aim of the journal is to catalyse intellectual debate in an inclusive and scientific manner on the practical work of policy implementation related to the long-term effort of managing our global GHG emissions and impacts. Decisions made in the near future will have profound impacts on the global climate and biosphere. Carbon Management delivers research findings in an accessible format to inform decisions in the fields of research, education, management and environmental policy.