Environment and Climate Change Canada, 351, Boul. Saint-Joseph, Gatineau, Quebec, K1A 0H3, Canada.
School of Environmental Sciences, Univ. of Guelph, Ontario, N1G 2W1, Canada.
J Environ Qual. 2021 Jul;50(4):847-857. doi: 10.1002/jeq2.20250. Epub 2021 Jun 16.
Riparian zones provide multiple benefits, including streambank stabilization and nutrient abatement. However, there is a knowledge gap on how the type of vegetation and environmental factors (e.g., soil temperature, moisture) within the riparian zone influence CO and CH emissions. Our objective was to quantify and compare CO and CH emissions from a herbaceous (grass) riparian zone (GRS), a rehabilitated riparian zone composed of deciduous trees, an undisturbed natural forested riparian zone with deciduous trees (UNF-D) or coniferous trees (UNF-C), and an agricultural field. Cumulative soil CO emission ranged from 23 to 105 g CO -C m . Carbon dioxide emissions were greatest (p < .05) in the GRS zone and lowest (p < .05) in the UNF-C riparian zone. The best predictors for CO emissions were soil temperature and soil organic carbon (SOC) content. Cumulative CH emission ranged from -23 to 253 g CH -C m . Methane emissions were greatest (p < .05) in the UNF-D and lowest (p < .05) in the GRS riparian zone. The best predictors for CH emissions were soil moisture, SOC, and photosynthetic photon flux density. The total CO -C equivalent (i.e., CH + CO ) was greatest (p < .05) for the GRS and lowest (p < .05) for the UNF-C riparian zone. The environmental factors controlling CO and CH emissions within the various riparian zones did not change; instead, changes were due to how vegetation within riparian zones influenced these controls.
河岸带提供了多种益处，包括河岸稳定和养分去除。然而，关于河岸带内植被类型和环境因素（如土壤温度、湿度）如何影响 CO 和 CH 排放，我们的知识还存在差距。我们的目标是量化和比较草本（草）河岸带（GRS）、由落叶树组成的修复河岸带、具有落叶树（UNF-D）或针叶树（UNF-C）的未受干扰的天然河岸带以及农田的 CO 和 CH 排放。累积土壤 CO 排放量在 23 至 105 g CO -C m 之间。GRS 区的 CO 排放最大（p <.05），UNF-C 河岸带的 CO 排放最低（p <.05）。CO 排放的最佳预测因子是土壤温度和土壤有机碳（SOC）含量。累积 CH 排放量在-23 至 253 g CH -C m 之间。UNF-D 区的 CH 排放量最大（p <.05），GRS 区的 CH 排放量最低（p <.05）。CH 排放的最佳预测因子是土壤水分、SOC 和光合光子通量密度。CO -C 当量（即 CH + CO ）在 GRS 中最大（p <.05），在 UNF-C 河岸带中最小（p <.05）。控制各种河岸带内 CO 和 CH 排放的环境因素没有变化；相反，变化是由于河岸带内植被如何影响这些控制因素。
