L. Luo, Tingting Liu, Lina Hu, Shanshan Cao, Wei Sun
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引用次数: 0
摘要
云杉是新疆重要的乔木树种。准确估算云杉生物量对评价新疆森林生态结构和森林碳平衡具有重要意义。本研究通过构建检索方法,从CNKI、Web of Science和国家标准信息公共服务平台上收集了新疆云杉生物量估算模型的相关文献。通过文献整理,利用CiteSpace软件进行可视化制图,建立了1980 - 2021年新疆云杉生物量估算模型和参数数据集。生物量估算模型包括基于可测量因子的生物量估算模型和基于遥感、机器学习算法的生物量估算模型。前者有13种类型,101个拟合公式,适用于云杉不同器官和地面生物量的估算;后者有3种类型,12种拟合公式,适用于云杉林生物量的估算。该数据集可为新疆云杉生物量估算研究提供模型数据支持。
A dataset of biomass estimation models and parameters of spruces in Xinjiang from 1980 to 2021
Spruces are an important tree species in Xinjiang. Accurate estimation of spruce biomass plays an important role in evaluating forest ecological structure and forest carbon balance in Xinjiang. In this study, we collected the relevant literature of Xinjiang spruce biomass estimation model from CNKI, Web of Science and the National Public Service Platform for Standards Information by constructing a retrieval method. And we collated the literature and used CiteSpace software for visualized mapping, so as to create a dataset of biomass estimation models and parameters of spruces in Xinjiang from 1980 to 2021. Biomass estimation models consist of biomass estimation models based on measurable factors and biomass estimation models based on remote sensing, machine learning algorithm. The former has 13 types, 101 fitting formulas, applicable to the estimation of different spruce organs, and the ground biomass; the latter has 3 types, 12 fitting formulas, suitable for the estimation of spruce forest biomass. This dataset can provide model data support for the study on spruce biomass estimation in Xinjiang.