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Updated: Jun 1, 2026
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Computer Vision-Based Biomass Estimation for Invasive Plants
Published on: February 9, 2024
[Forest biomass and its spatial pattern in Guizhou Province].
Xiu-Ling Tian1, Jing Xia, Huan-Bai Xia
1Department of Environmental Sciences, College of Resources and Environments, East China Normal University, Shanghai 200062, China. aling1762@sina.com
Summary
Forest biomass in Guizhou Province is relatively low, with karst regions showing significantly less biomass than non-karst areas. This is attributed to topography, rocky desertification, and human activities impacting forest ecosystems.
Area of Science:
- Forestry science
- Ecology
- Biogeography
Context:
- Guizhou Province's forest inventory data from 1996-2000 was analyzed.
- Biomass expansion factors (BEF) were used to estimate forest biomass.
- Spatial patterns and differences between karst and non-karst regions were examined.
Purpose:
- To estimate the total forest biomass in Guizhou Province.
- To analyze the spatial distribution of forest biomass.
- To compare forest biomass between karst and non-karst regions.
Summary:
- Total forest biomass was estimated at 3.51 x 10^8 tons, with 18% in karst and 82% in non-karst regions.
- Forest stands contributed 71.4% to the total biomass, with Cunninghamia lanceolata being the dominant species.
- Karst regions exhibited significantly lower forest biomass due to topography, rocky desertification, and human activities.
Impact:
- Provides crucial data for understanding forest carbon storage in Guizhou.
- Highlights the vulnerability of karst ecosystems to environmental changes.
- Informs regional forest management and conservation strategies.
