亚热带常绿落叶阔叶混交林木本植物生物量模型数据集

Abstract

Tree biomass equations are the most commonly used method to estimate tree and forest biomasses at various spatial and temporal scales because of their minor damage, ease of use, and high relative accuracy. The systematic compilation of models for the biomass of mixed evergreen and deciduous broad-leaved forest, a unique and essential class of typical vegetation types in the subtropical zone of China, has not been reported so far. In this paper, we compiled a species list through an inventory of 28.9 hm2 of mixed evergreen deciduous broad-leaved forests in southwestern Hubei Province with fixed detection sample plots, the species list was compiled by this study, and used it to retrieve, collect and establish a model dataset of woody plant biomass in subtropical mixed evergreen and deciduous broad-leaved forest. The species list contains a total of 665 biomass models in 167 groups. Each model corresponds to the plant species name, Latin name, plant life type, plant components calculated by the model, model independent variables, measurement units and ranges of independent variables, model correlation coefficient or coefficient of determination, and model sample size. is also recorded. By establishing this dataset, this paper not only provides essential information for in-depth research on the productivity and carbon sink of this specific vegetation but also provides a scientific basis for the management of this type of forest, the conservation of biodiversity, and the evaluation of forest ecological benefits.