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Controls on soil carbon dioxide and methane fluxes from a peat swamp vary by hydrogeomorphic setting

沼泽 泥炭 环境科学 地下水位 湿地 水文学(农业) 二氧化碳 碳循环 生态系统 土壤碳 甲烷 土壤水分 生态学 土壤科学 地下水 地质学 生物 岩土工程
作者
Scott J. Davidson,Maria Strack,Richard A. Bourbonniere,J. M. Waddington
出处
期刊:Ecohydrology [Wiley]
卷期号:12 (8) 被引量:16
标识
DOI:10.1002/eco.2162
摘要

Abstract Carbon dynamics of temperate peat swamps are a largely understudied component of wetland carbon cycling. Under a changing climate, hydrometeorological conditions may change, and understanding how peat swamps may be impacted is important. We investigated the importance of hydrogeomorphic setting on controlling soil carbon dioxide (CO 2 ) and methane (CH 4 ) fluxes from a temperate peat swamp in southern Ontario, Canada over a 3‐year period. We chose three different hydrogeomorphic settings: (a) a site with strong wetland‐stream interactions (i.e., an unconfined stream channel; unconfined), (b) a site with limited wetland‐stream interactions (confined), and (c) an interior site (no wetland–stream interaction). The differing hydrogeomorphic conditions between the sites resulted in differences in carbon fluxes. The unconfined site maintained a higher water table across all three study years, providing conditions that are not favourable to CO 2 production. The confined and interior sites sustained a much lower water table, with conditions more conducive to CO 2 efflux. The unconfined site also had the highest CH 4 emissions due to the increased anoxic conditions favourable for CH 4 production as a result of the higher water table position. Hydrogeomorphic setting was found to be important for understanding within site variation, suggesting the sites may respond differently to longer‐term shifts in environmental conditions. This may change relationships between sites if the responses are strong enough to significantly alter carbon fluxes, decomposition, and potential peat accumulation rates. It is important to understand the locally specific responses to environmental conditions within peat swamp ecosystems, in order to make future predictions about whole ecosystem function under changing conditions.
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