Improving long term forecasts of tree growth in carbon farming projects

改善碳农业项目中树木生长的长期预测

• 批准号: LP230100049
• 负责人: A/Prof Daniel Falster
• 金额: $ 66.57万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2028-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP230100049
• 关键词: Improving; long; term; forecasts; tree

Australia is taking action to limit global warming, including use of "carbon farming" to capture CO2 using trees as natural carbon sinks. Limited knowledge on the growth rate of Mulga trees, a primary carbon sink, hampers our partner organisation’s ability to maximise carbon stores. The aim of this proposal is to use dendrochronology to inform novel predictive models for growth of mulga trees that will reduce uncertainty in carbon removal forecasts. The expected outcome will be significant and benefit our partner organisation and other agencies by providing improved forecasting of tree growth that will inform their decisions for investment in carbon farming and nature repair markets.

澳大利亚正在采取行动限制全球变暖，包括利用树木作为天然碳汇来捕获二氧化碳，而对主要碳汇的 Mulga 树的生长速度了解有限，这阻碍了我们的合作伙伴组织最大限度地利用碳储存的能力。该提案的目的是利用树木年代学为桑树生长提供新的预测模型，从而减少碳清除预测的不确定性。预期结果将是重大的，并通过提供改进的树木生长预测而使我们的合作伙伴组织和其他机构受益。将要告知他们对碳农业和自然修复市场的投资决策。