Dean Christopher, Kirkpatrick Jamie B, Osborn Jon, Doyle Richard B, Fitzgerald Nicholas B, Roxburgh Stephen H
School of Technology, Environments and Design, University of Tasmania, Hobart, ustralia.
Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS , Australia.
AoB Plants. 2018 Feb 28;10(2):ply015. doi: 10.1093/aobpla/ply015. eCollection 2018 Mar.
There is high uncertainty in the contribution of land-use change to anthropogenic climate change, especially pertaining to below-ground carbon loss resulting from conversion of primary-to-secondary forest. Soil organic carbon (SOC) and coarse roots are concentrated close to tree trunks, a region usually unmeasured during soil carbon sampling. Soil carbon estimates and their variation with land-use change have not been correspondingly adjusted. Our aim was to deduce allometric equations that will allow improvement of SOC estimates and tree trunk carbon estimates, for primary forest stands that include large trees in rugged terrain. Terrestrial digital photography, photogrammetry and GIS software were used to produce 3D models of the buttresses, roots and humus mounds of large trees in primary forests dominated by in Tasmania. Models of 29, eucalypts were made and analysed. 3D models of example eucalypt roots, logging debris, rainforest tree species, fallen trees, branches, root and trunk slices, and soil profiles were also derived. Measurements in 2D, from earlier work, of three buttress 'logs' were added to the data set. The 3D models had high spatial resolution. The modelling allowed checking and correction of field measurements. Tree anatomical detail was formulated, such as buttress shape, humus volume, root volume in the under-sampled zone and trunk hollow area. The allometric relationships developed link diameter at breast height and ground slope, to SOC and tree trunk carbon, the latter including a correction for senescence. These formulae can be applied to stand-level carbon accounting. The formulae allow the typically measured, inter-tree SOC to be corrected for not sampling near large trees. The 3D models developed are irreplaceable, being for increasingly rare, large trees, and they could be useful to other scientific endeavours.
土地利用变化对人为气候变化的贡献存在高度不确定性,尤其是与原生林向次生林转化导致的地下碳损失有关。土壤有机碳(SOC)和粗根集中在树干附近,而该区域在土壤碳采样过程中通常未被测量。土壤碳估算及其随土地利用变化的差异尚未得到相应调整。我们的目标是推导异速生长方程,以改进对SOC估算和树干碳估算,适用于地形崎岖且包含大树的原生林林分。利用地面数字摄影、摄影测量和地理信息系统(GIS)软件,对塔斯马尼亚州以[具体树种]为主的原生林中大树的支撑根、根系和腐殖土丘进行三维建模。制作并分析了29棵[具体树种]桉树的模型。还得出了示例桉树根、伐木残余物、雨林树种、倒下的树木、树枝、根和树干切片以及土壤剖面的三维模型。将早期工作中对三根支撑根“原木”的二维测量数据添加到数据集中。这些三维模型具有高空间分辨率。该建模有助于检查和校正实地测量数据。确定了树木解剖细节,如支撑根形状、腐殖土体积、采样不足区域的根体积和树干中空区域。所建立的异速生长关系将胸径和地面坡度与SOC及树干碳联系起来,后者包括对衰老的校正。这些公式可应用于林分水平的碳核算。这些公式可对通常测量的林分间SOC进行校正,以弥补未在大树附近采样的不足。所开发的三维模型不可替代,因为针对的是日益稀少的大树,它们可能对其他科学研究有用。