Abstract Land restoration through planting native species or facilitating natural regeneration may provide opportunities for sequestration of biomass carbon in many regions where woody vegetation has been cleared or largely supressed. Australia provides a good case study of how sequestration from these activities may be simulated at national- and project-scales using an empirical full carbon accounting model; FullCAM. Recent work has resulted in 1.6-fold increase in calibration sites available, while the underlying input layer of site productivity has also been recently refined. These developments provided an opportunity to expand the domain of application and capability of the model. We collated 2340 observations of above-ground biomass in planted or naturally regenerated stands across Australia and applied a novel technique to correct these observations for a baseline biomass of existing remnant trees or shrubs within these stands (typically 1500 stems per hectare) stand density; (iii) belt plantings of lower stand density; (iv) blocks of plantings or natural regeneration on land used to deliver environmental services, and; (v) blocks of natural regeneration occurring on land used for livestock production. Compared to blocks of plantings or natural regeneration, yields of biomass after 30 years of growth were 1.3- to 2.2-times higher in belt plantings, and stands of mesic regions accessing ground or surface water, e.g. riparian or floodplain zones. After 30 years of natural regeneration, when compared to stands fenced-off for conservation, yields of biomass were 1.5-times lower on stands that continued to be managed for livestock production. In revising the model calibrations, the trade-off between model accuracy and utility was considered. By accounting for only stand age, site productivity and the five stand categories, the overall model efficiency of biomass prediction was 68%. Additional explanatory variables such as stocking densities of stands with a block configuration, stand establishment method, species or species mix, and belt width were also tested, but their addition to the model was considered unwarranted, given the additional resources required to account for these inputs would be substantial, and they would deliver

中文翻译：

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预测土地恢复后木质生物量的固碳

摘要 通过种植本地物种或促进自然更新来恢复土地，可为许多木本植被已被清除或受到严重抑制的地区的生物量碳封存提供机会。澳大利亚提供了一个很好的案例研究，说明如何使用经验性完整碳核算模型在国家和项目规模上模拟这些活动的封存；全摄像头。最近的工作导致可用校准站点增加了 1.6 倍，而站点生产力的基础输入层最近也得到了改进。这些发展为扩展模型的应用领域和功能提供了机会。我们整理了澳大利亚各地种植或自然再生林分地上生物量的 2340 个观察结果，并应用新技术来校正这些林分内现有残余树木或灌木的基线生物量（通常为每公顷 1500 根）林分密度的这些观察结果；(iii) 林分密度较低的带式种植；(iv) 用于提供环境服务的土地上的种植区或自然更新区，以及；(v) 发生在用于畜牧生产的土地上的自然更新块。与种植块或自然再生块相比，带状种植和进入地下水或地表水的中间地带（例如河岸或洪泛区）的生物质产量在 30 年的生长后高出 1.3 到 2.2 倍。经过30年的自然再生，与为保护而被围起来的林分相比，在继续管理牲畜生产的林分上，生物量的产量低 1.5 倍。在修改模型校准时，考虑了模型精度和效用之间的权衡。仅考虑林龄、立地生产力和五个林分类别，生物量预测的整体模型效率为 68%。还测试了其他解释变量，例如具有块配置的林分的放养密度、林分建立方法、物种或物种组合以及带宽，但考虑到考虑这些输入所需的额外资源，将它们添加到模型中被认为是没有根据的将是巨大的，他们将提供 继续管理牲畜生产的林分低 5 倍。在修改模型校准时，考虑了模型精度和效用之间的权衡。仅考虑林龄、立地生产力和五个林分类别，生物量预测的整体模型效率为 68%。还测试了其他解释变量，例如具有块配置的林分的放养密度、林分建立方法、物种或物种组合以及带宽，但考虑到考虑这些输入所需的额外资源，将它们添加到模型中被认为是没有根据的将是巨大的，他们将提供 继续管理牲畜生产的林分低 5 倍。在修改模型校准时，考虑了模型精度和效用之间的权衡。仅考虑林龄、立地生产力和五个林分类别，生物量预测的整体模型效率为 68%。还测试了其他解释变量，例如具有块配置的林分的放养密度、林分建立方法、物种或物种组合以及带宽，但考虑到考虑这些输入所需的额外资源，将它们添加到模型中被认为是没有根据的将是巨大的，他们将提供 立地生产力和五个林分类别，生物量预测的整体模型效率为 68%。还测试了其他解释变量，例如具有块配置的林分的放养密度、林分建立方法、物种或物种组合以及带宽，但考虑到考虑这些输入所需的额外资源，将它们添加到模型中被认为是没有根据的将是巨大的，他们将提供 立地生产力和五个林分类别，生物量预测的整体模型效率为 68%。还测试了其他解释变量，例如具有块配置的林分的放养密度、林分建立方法、物种或物种组合以及带宽，但考虑到考虑这些输入所需的额外资源，将它们添加到模型中被认为是没有根据的将是巨大的，他们将提供