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[Forest Inventory Data (FID)-based biomass models and their prospects].

Zhao Min, Guangsheng Zhou

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Abstract

Forest Inventory Data (FID)-based biomass models are important methods in assessing forest biomass at landscape, regional, and national scales, and play an important role in studying terrestrial carbon budget and global changes. In this paper, Forest Inventory Data were reviewed, FID-based models were summarized, and shortages of FID-based models were analyzed. Based on these analyses, the future tasks were pointed out: 1) Comprehensive effect of forest biological factors and non-biological factors on forest biomass, especially on forest volume and age; 2) Identification of the relationships between total forest biomass and live wood biomass; 3) Development of remote sensing- and FID-based forest biomass models. These researches will provide new methods and theoretical bases for estimating forest biomass and carbon budget.

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What this paper is about

Forest Inventory Data (FID)-based biomass models are important methods in assessing forest biomass at landscape, regional, and national scales, and play an important role in studying terrestrial carbon budget and global changes. In this paper, Forest Inventory Data were reviewed, FID-based models were summarized, and shortages of FID-based models were analyzed. Based on these analyses, the future tasks were pointed out: 1) Comprehensive effect of forest biological factors and non-biological factors on forest biomass, especially on forest volume and age; 2) Identification of the relationships between total forest biomass and live wood biomass; 3) Development of remote sensing- and FID-based forest biomass models. These researches will provide new methods and theoretical bases for estimating forest biomass and carbon budget.

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Available abstract

Forest Inventory Data (FID)-based biomass models are important methods in assessing forest biomass at landscape, regional, and national scales, and play an important role in studying terrestrial carbon budget and global changes. In this paper, Forest Inventory Data were reviewed, FID-based models were summarized, and shortages of FID-based models were analyzed. Based on these analyses, the future tasks were pointed out: 1) Comprehensive effect of forest biological factors and non-biological factors on forest biomass, especially on forest volume and age; 2) Identification of the relationships between total forest biomass and live wood biomass; 3) Development of remote sensing- and FID-based forest biomass models. These researches will provide new methods and theoretical bases for estimating forest biomass and carbon budget.

Key concepts: Biomass (ecology), Forest inventory, Environmental science, Economic shortage, Forestry, Agroforestry, Ecology, Forest management

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