Estimation and Monitoring of Forest Biomass and Fuel Load Components

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 427

Special Issue Editors


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Guest Editor
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China
Interests: forest management scenarios; remote sensing for vegetation coverage estimation; biomass estimation and growth modeling; carbon sequestration

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Guest Editor
Academy of Forest Inventory and Planning, National Forestry and Grassland Administration of China · Division of Forest Inventory and Evaluation, Beijing, China
Interests: forest management; linear regression; regression modeling; statistics; sampling; climate change

Special Issue Information

Dear Colleagues,

Forest biomass and fuel load components are the main carbon pools of forest ecosystems and play an important role in the global carbon cycle and in climate change mitigation. Therefore, the estimation and monitoring of these aspects of forests are the basis of forest carbon storage assessment and carbon sink measurement. In this process, data, including three types of forest resources survey data and special survey data, form the substructure and their typicality, comprehensiveness, and representativeness have a direct impact on the results of estimation and evaluation. The model is the key, including the allometric growth model of biomass at the individual tree level, the biomass conversion and expansion model of at the stand regional scale, and the process-based mechanism model. It is imperative to ensure that when the data and model scales are inconsistent, the corresponding scale conversion method is adopted to achieve the compatibility of measurement results to ensure the accuracy of the evaluation. Finally, the uncertainty of estimation and monitoring results is a given. This Special Issue aims to introduce the latest research results from data, models, and methods for the process of estimation and monitoring, improve the accuracy of forest biomass and fuel load component estimation and monitoring results, and reduce uncertainty.

Prof. Dr. Haikui Li
Prof. Dr. Wei-Sheng Zeng
Guest Editors

Manuscript Submission Information

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Keywords

  • forest biomass
  • fuel load components
  • forest resources inventory
  • allometric growth models
  • biomass conversion models
  • forest carbon storage

Published Papers

This special issue is now open for submission.
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