Forest carbon storage in Guizhou Province based on field measurement dataset

• 作者: Chunzi Guo Yangyang Wu Jian Ni Yinming Guo
• 学科: 地球科学
• 关键词: Forest carbon storage Field measurement dataset Karst landform
• 年，卷（期）: 2022,（1）
• 页码范围: 8-21
• 页数: 13页
• 语种: 英文
• DOI: 10.1007/s11631-018-0306-3

摘要

Accurate estimation of forest carbon storage is crucial in understanding global and regional carbon cycles and projecting future ecological and economic scenarios. Guizhou is the largest karst landform province in China; 61.9% of its land area is characterized as karst. However, monitoring its field biomass and carbon storage is difficult. This study synthesized and analyzed a comprehensive database of direct field observations of forest vegetation and soil carbon storage in Guizhou Province by using data from existing literature. The total vegetation carbon storage in Guizhou Province was 488.170 TgC, the average vegetation carbon density (VCD) was 27.866 MgC hm-2, the total amount of soil organic carbon (SOC) (20 cm) was 1017.364 TgC, and the average SOC density was 58.074 MgC hm-2. Among all vegetation types, needleleaf forest had the highest vegetation carbon stocks, and scrub presented the highest SOC storage. The vegetation and SOC storage values of the karst landform were 282.352 and 614.825 TgC, respectively, which were higher than those of the non-karst landform. VCD was concentrated at 10–40 MgC hm-2, and SOC density was concentrated at 40–60, 60–80, and 80–100 MgC hm-2. This comprehen sive regional data synthesis and analysis based on direct field measurement of vegetation and soil will improve our understanding of the forest carbon cycle in karst landforms under a changing climate.