Xin Zhong , Evgenios Agathokleous , Jianghua Wu , Yujie Zhang , Yuqing Zhou , Yansen Xu , Bo Shang , Yang Ji , Zhaozhong Feng
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引用次数: 0
Abstract
Global warming cooccurs with tropospheric ozone (O3); however, their joined effect on methane (CH4) emissions in agricultural ecosystems remains largely unknown. Here, a two-year field study was conducted to quantify the effects of elevated O3 (1.5 ×ambient) and/or warming (ambient+2℃) on CH4 emissions from paddy fields in a free-air O3-concentration enrichment and warming system, and to clarify the main influencing factors. Four treatments were applied: (1) ambient O3 and ambient temperature (CK), (2) elevated O3 and ambient temperature (E-O3), (3) ambient O3 and elevated temperature (W), and (4) elevated O3 and elevated temperature (E-O3W). Results showed that elevated O3 significantly inhibited or tended to inhibit CH4 emissions from paddy fields at ambient temperature, especially at the jointing and booting stages of rice. Elevated O3 mitigated the stimulatory effect of warming on CH4 emissions. The effects of elevated O3 concentration and warming on CH4 emission were related to significant changes in soil dissolved organic carbon (DOC) and NH4+ content, but not to the number of rice tillers, soil pH, microbial biomass carbon (MBC), and NO3- content. Our study provides evidence that elevated O3 concentration and warming have an antagonistic effect on CH4 emissions from paddy fields. To accurately predict global change impacts, the effects of both elevated O3 and warming should be incorporated within the CH4 models for paddy fields.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.