欧光龙, 胥辉. 森林生物量模型研究综述[J]. 西南林业大学学报(自然科学), 2020, 40(1): 1–10 . DOI: 10.11929/j.swfu.201907029
引用本文: 欧光龙, 胥辉. 森林生物量模型研究综述[J]. 西南林业大学学报(自然科学), 2020, 40(1): 1–10 . DOI: 10.11929/j.swfu.201907029
Guanglong Ou, Hui Xu. A Review on Forest Biomass Models[J]. Journal of Southwest Forestry University, 2020, 40(1): 1-10. DOI: 10.11929/j.swfu.201907029
Citation: Guanglong Ou, Hui Xu. A Review on Forest Biomass Models[J]. Journal of Southwest Forestry University, 2020, 40(1): 1-10. DOI: 10.11929/j.swfu.201907029

森林生物量模型研究综述

A Review on Forest Biomass Models

  • 摘要: 从单木和林分两个水平系统综述了森林生物量模型特点及其构建方法,总结了单木生物量模型的基本特点及其构建方法,重点阐述了相容性森林生物量模型构建;从林分生物量模型、林分生物量因子模型及林分生物量遥感估测模型三个方面对在林分水平森林生物量模型进行了总结探讨。提出了新模型技术在森林生物量模型构建中的应用、整合环境因子的高精度森林生物量模型研究、森林生物量遥感模型构建的不确定性、基于相容性模型的主要树种生物量数表的编制研究展望。

     

    Abstract: Forest biomass models were reviewed systematically at both single tree and stand scale. The basic characteristics and the main construction methods of individual biomass models were elaborated at the single tree level, especially for the construction of compatible forest biomass models. Meanwhile, the biomass models at the stand level were summarized from 3 aspects, including biomass model using stand factors, biomass factor models and stand biomass estimation using remote sensing data. Finally, we prospected the research directions of forest biomass models from 4 aspects which include new modeling technology application in constructing forest biomass models, high accuracy forest biomass models by incorporating environmental factors, uncertainties on forest biomass estimation using remote sensing data, and compilation of biomass tables for the main tree species or species groups based on compatible biomass models.

     

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