Climate-based prediction of carbon fluxes from deadwood in Australia

Elizabeth S. Duan, Luciana Chavez Rodriguez, N. Hemming-Schroeder, Baptiste J. Wijas, Habacuc Flores‐Moreno, A. Cheesman, L. Cernusak, M. Liddell, P. Eggleton, A. Zanne, Steven D. Allison
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Abstract

Abstract. Deadwood is an important yet understudied carbon pool in tropical ecosystems. Deadwood degradation to CO2 through decomposer (microbial, termite) activities is driven by wood moisture and temperature, which are in turn strongly influenced by local climate. Thus, climate data could be used to predict CO2 fluxes from decaying wood. Given the increasing availability of gridded climate data, this link would allow for the rapid estimation of deadwood-related CO2 fluxes from tropical ecosystems worldwide. In this study, we adapted a mechanistic fuel moisture model that uses weather variables (e.g., air temperature, precipitation, solar radiation) to simulate wood moisture and temperature along a rainfall gradient in Queensland, Australia. We then developed a Bayesian statistical relationship between wood moisture and temperature and CO2 flux from pine (Pinus radiata) blocks and combined this relationship with our simulations to predict CO2 fluxes from deadwood at 1 h temporal resolution. We compared our pine-based simulations to the moisture–CO2 relationships from stems of native tree species deployed at the wettest and driest sites. Finally, we integrated fluxes over time to estimate the amount of carbon entering the atmosphere and compared these estimates to measured mass loss in pines and native stems. Our statistical model showed a positive relationship between CO2 fluxes and wood moisture and temperature. Comparing cumulative CO2 with wood mass loss, we observed that carbon from deadwood decomposition is mainly released as CO2 regardless of the precipitation regime. At the dry savanna, only about 20 % of the wood mass loss was decomposed within 48 months, compared to almost 100 % at the wet rainforest, suggesting longer residence times of deadwood compared to wetter sites. However, the amount of carbon released in situ as CO2 is lower when wood blocks are attacked by termites, especially at drier sites. These results highlight the important but understudied role of termites in the breakdown of deadwood in dry climates. Additionally, mass loss–flux relationships of decaying native stems deviated from those of pine blocks. Our results indicate that wood moisture and temperature are necessary but not sufficient for predicting CO2 fluxes from deadwood degradation. Other factors, such as wood traits (wood quality, chemical composition, and stoichiometry) and biotic processes, should be considered in future modeling efforts.
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基于气候的澳大利亚枯木碳通量预测
摘要枯木是热带生态系统中一个重要但研究不足的碳库。枯木通过分解者(微生物、白蚁)的活动降解为二氧化碳的过程受木材湿度和温度的影响,而木材湿度和温度又受当地气候的强烈影响。因此,气候数据可用于预测木材腐烂产生的二氧化碳通量。鉴于网格气候数据的可用性越来越高,这种联系可以快速估算全球热带生态系统中与枯木相关的二氧化碳通量。在这项研究中,我们改编了一个力学燃料水分模型,该模型使用天气变量(如气温、降水、太阳辐射)来模拟澳大利亚昆士兰降雨梯度的木材水分和温度。然后,我们建立了木材湿度和温度与松树(Pinus radiata)木块二氧化碳通量之间的贝叶斯统计关系,并将这种关系与我们的模拟相结合,以 1 小时的时间分辨率预测枯木的二氧化碳通量。我们将基于松树的模拟结果与部署在最潮湿和最干燥地点的本地树种茎干的水分-CO2 关系进行了比较。最后,我们整合了一段时间内的通量,以估算进入大气的碳量,并将这些估算结果与松树和本地茎干的测量质量损失进行比较。我们的统计模型显示,二氧化碳通量与木材湿度和温度之间存在正相关关系。通过比较累积的二氧化碳与木材质量损失,我们发现,无论降水情况如何,枯木分解产生的碳主要以二氧化碳的形式释放。在干燥的热带稀树草原,只有约 20% 的木材质量损失在 48 个月内被分解,而在潮湿的热带雨林,几乎 100% 的木材质量损失被分解,这表明枯木的停留时间比潮湿的地方要长。然而,当木块受到白蚁攻击时,以二氧化碳形式就地释放的碳量较低,尤其是在较干燥的地点。这些结果突显了白蚁在干燥气候条件下分解枯木过程中所扮演的重要角色,但对这一角色的研究还不够。此外,腐烂的本地茎干的质量损失-流量关系与松木块的质量损失-流量关系不同。我们的研究结果表明,木材水分和温度对于预测枯木降解产生的二氧化碳通量是必要的,但还不够。在未来的建模工作中还应考虑其他因素,如木材特性(木材质量、化学成分和化学计量学)和生物过程。
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The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback Linking geomorphological processes and wildlife microhabitat selection: nesting birds select refuges generated by permafrost degradation in the Arctic The biological and preformed carbon pumps in perpetually slower and warmer oceans Climate-based prediction of carbon fluxes from deadwood in Australia Composite calcite and opal test in Foraminifera (Rhizaria)
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