Accurate estimations of stem volume and tree component biomass are of paramount importance for the study and management of forests. In Chile, the most important commercial tree species are Pinus radiata, Eucalyptus globulus and Eucalyptus nitens, which are successfully planted in other parts of the world. Available individual-tree allometric models are typically local models which do not include age or stand scale covariates and rely solely on stem diameter outside bark at breast height (DBH) and, in some cases, total tree height (H). We used data from 1571 trees across the distribution of the three species in Chile to develop general individual-tree equations for stem volume inside and outside bark, and biomass components (dead branch, live branch, foliage, bark and stem wood inside and outside bark). Our models include DBH or DBH and H as predicting variables, as well as stand-level variables like age, basal area and stand density. General allometric models that include stand-level variables have not been previously reported for P. radiata, E. globulus and E. nitens. Given the broad area of inference in our data, the models are applicable over a large geographical area and a variety of stand ages and characteristics and can be used to support management decisions or integrated in stand-level productivity models to enhance the accuracy and precision of model outputs. The collective effort behind this study is a remarkable example of cooperation across researchers and practitioners in order to address complex questions in a transdisciplinary world.

茎体积和树木成分生物量的准确估计对于森林的研究和管理至关重要。在智利，最重要的商业树种是辐射松、蓝桉和黑桉，已在世界其他地区成功种植。可用的单株异速生长模型通常是局部模型，不包括年龄或林分尺度协变量，仅依赖于胸高 (DBH) 外树皮外的茎直径，在某些情况下，还依赖于总树高 (H)。我们使用来自智利三个物种分布的 1571 棵树的数据来开发树皮内外茎体积和生物量成分（死枝、活枝、叶子、树皮和树皮内外的茎木）的一般个体树方程）。我们的模型包括 DBH 或 DBH 和 H 作为预测变量，以及林分级变量，如年龄、基面积和林分密度。一般异速生长模型，包括备用级变量以前未被报道的辐射松，E. globulus和E. nitens。鉴于我们数据中的广泛推理领域，这些模型适用于大地理区域和各种林龄和特征，可用于支持管理决策或集成到林分生产力模型中，以提高准确性和精确度模型输出。这项研究背后的集体努力是研究人员和从业人员合作解决跨学科世界中复杂问题的一个显着例子。