China's wetland soil organic carbon pool: New estimation on pool size, change, and trajectory

作者：Yongxing Ren, Dehua Mao, Zongming Wang, Zicheng Yu, Xiaofeng Xu, Yanan Huang, Yanbiao Xi, Ling Luo, Mingming Jia, Kaishan Song, Xiaoyan Li · 发表于：Global Change Biology · 年份：2023 · DOI：10.1111/gcb.16923 · 被引用次数：73 · 研究领域：Peatlands and Wetlands Ecology、Soil Carbon and Nitrogen Dynamics、Coastal wetland ecosystem dynamics

Abstract Robust estimates of wetland soil organic carbon (SOC) pools are critical to understanding wetland carbon dynamics in the global carbon cycle. However, previous estimates were highly variable and uncertain, due likely to the data sources and method used. Here we used machine learning method to estimate SOC storage and their changes over time in China's wetlands based on wetland SOC density database, associated geospatial environmental data, and recently published wetland maps. We built a database of wetland SOC density in China that contains 809 samples from 181 published studies collected over the last 20 years as presented in the published literature. All samples were extended and standardized to a 1‐m depth, on the basis of the relationship between SOC density data from soil profiles of different depths. We used three different machine learning methods to evaluate their robustness in estimating wetland SOC storage and changes in China. The results indicated that random forest model achieved accurate wetland SOC estimation with R2 being .65. The results showed that average SOC density of top 1 m in China's wetlands was 25.03 ± 3.11 kg C m−2 in 2000 and 26.57 ± 3.73 kg C m−2 in 2020, an increase of 6.15%. SOC storage change from 4.73 ± 0.58 Pg in 2000 to 4.35 ± 0.61 Pg in 2020, a decrease of 8.03%, due to 13.6% decreased in wetland area from 189.12 × 103 to 162.8 × 103 km2 in 2020, despite the increase in SOC density during the same time period. The carbon accumulati...