Improving long term forecasts of tree growth in carbon farming projects

澳大利亚正在采取行动限制全球变暖，包括使用“碳农业”，利用树木作为天然碳汇来捕获二氧化碳。由于对主要碳汇Mulga树的生长速度了解有限，阻碍了我们合作伙伴组织最大限度地增加碳储存的能力。该提案的目的是使用树木年代学来为Mulga树木的生长提供新的预测模型，这将减少碳去除预测的不确定性。预期结果将是显著的，并有利于我们的合作伙伴组织和其他机构，通过提供更好的树木生长预测，这将为他们在碳农业和自然修复市场的投资决策提供信息。

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.