Reducing uncertainty in prediction of leaf respiration in a changing world

减少不断变化的世界中叶片呼吸预测的不确定性

• 批准号: DE240100301
• 负责人: Dr Mirindi Eric Dusenge
• 金额: $ 30.5万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100301
• 关键词: Reducing; uncertainty; prediction; leaf; respiration

This project aims to advance our understanding of responses of carbon dioxide (CO2) release by leaf (leaf respiration) to sustained changes in CO2 and temperature. Leaf respiration in terrestrial forests releases yearly CO2 that is two to four times higher than CO2 emitted by human activities, but its response to climate change is not well understood. The project expects to generate new knowledge on mechanisms underlying responses of leaf respiration to these climate change variables, separately and combined. Expected outcome is to deliver criteria that enable dynamic changes in leaf respiration to be predicted in climate models. Results should benefit improved forecast of feedback between Australian forests' carbon cycling and climate.

该项目旨在提高我们对叶片（叶呼吸）释放二氧化碳（CO2）对CO2和温度持续变化的响应的理解。陆地森林的叶片呼吸每年释放的二氧化碳是人类活动排放的二氧化碳的2至4倍，但其对气候变化的响应尚未得到很好的了解。该项目预计将产生新的知识，叶片呼吸对这些气候变化变量的潜在反应机制，单独和组合。预期的结果是提供能够在气候模型中预测叶呼吸动态变化的标准。结果将有助于改进澳大利亚森林碳循环与气候之间反馈的预测。