Tracing Soil CO 2 Fluxes under Drying-Rewetting Cycles: Isotopic Insights from an Automatic Soil Incubation System

环境科学 土壤水分 碳循环 土壤碳 降水 环境化学 大气科学 土壤科学 同位素特征 碳纤维 黄土 二氧化碳 溶解有机碳 碳同位素 温室气体 追踪 孵化 化学 无机碳总量 气候变化 土工试验 总有机碳 同位素分析 基质(水族馆) 焊剂(冶金) 水文学(农业) δ13C 土壤分类 同位素 碳通量
作者
YueDan Zhao,Ning Lu,Susan Trumbore,Martin Goebel,Karl Kuebler,H. B. Wang,Marion Schrumpf,Kai Wang,Cong Wang,Bojie Fu,Jianbei Huang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:60 (11): 8482-8493 被引量:1
标识
DOI:10.1021/acs.est.5c10776
摘要

Climate change is expected to increase the intensity and frequency of droughts and heavy rainfall events globally, with significant consequences on the terrestrial carbon cycle. One of the most critical yet highly variable components of the carbon cycle is the soil CO2 pulse triggered by precipitation events in dryland ecosystems. To examine the processes underlying the soil CO2 pulse under changing precipitation patterns, we developed a unique Online Automatic Soil Incubation System (OASIS) that allows (1) accurate manipulation of drying and rewetting regimes; (2) continuous monitoring of soil CO2 fluxes; and (3) identification of their isotopic sources (13C and 14C). Using OASIS, we investigated how normal and extreme drying-rewetting cycles (NDWC vs EDWC) influence CO2 pulse emissions and their isotopic signatures from soils of the Loess Plateau, while controlling for total water input. Our results showed that EDWC induced a rapid peak in the CO2 release rate within minutes, but this was offset by reduced emissions during the dry phase compared to NDWC. In addition, total CO2 release was strongly influenced by CO2 influx through dissolution, which was limited during the prolonged dry phase under EDWC. Isotopic data indicated that the CO2 pulse that originated from substrates was derived from recent plant carbon input within minutes of rewetting and was potentially influenced by exchange with the inorganic carbon pool, followed by contributions from bulk SOC that may have persisted for hundreds to thousands of years. These findings underscore the importance of accounting for CO2 pulses driven by substrate availability and different carbon sources, which is crucial for improving model predictions of soil CO2 flux and carbon storage in drylands under changing precipitation patterns. We highlight the applications of OASIS in revealing how interacting climatic, biological, and physicochemical factors drive soil greenhouse gas emissions.
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