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，包括使用“碳养殖”以使用树木作为天然碳水槽捕获二氧化碳。对Mulga树的生长速度，主要碳汇的知识有限，这阻碍了我们的合作伙伴组织的最大化碳存储的能力。该提案的目的是使用树突年代学为新颖的预测模型提供了穆尔加树生长的新预测模型，这将减少去除碳的不确定性。预期的结果将是重要的，并通过提供改进的树木生长预测来使我们的合作伙伴组织和其他机构受益，这将为他们在碳养殖和自然维修市场投资的决定提供依据。