By the year 2100, mean global annual CH 4 flux (FCH 4 ) from natural wetlands is projected to increase from 172 Tg CH 4 yr −1 to anywhere between 222 and 338 Tg CH 4 yr −1 depending on the climate scenario (Zhang et al., 2017). Under the best climate scenario of strong climate mitigation (RCP 2.6), wetland methane (CH 4 ) emissions are projected to decline in the 2050s after peaking at ∼225 Tg CH 4 yr −1 . Radiative forcing feedback from wetland CH 4 could account for a large portion of the total radiative forcing change from CH 4 , accounting for 0.04 ± 0.002 Wm −2 , and global mean temperature would increase slightly as a result (Zhang et al., 2017). Ecosystem-scale controls over microbial activity and resulting wetland CH 4 emissions are difficult to include in climate projection models despite their importance as a major climate feedback. Specifically, there is a need to understand and include the impact of shifting spatial patterns of vascular plants
Long‐running eddy covariance flux towers provide insights into how the terrestrial carbon cycle operates over multiple timescales. Here, we evaluated variation in net ecosystem exchange (NEE) of carbon dioxide (CO2) across the Chequamegon Ecosystem‐Atmosphere Study AmeriFlux core site cluster in the upper Great Lakes region of the USA from 1997 to 2020. The tower network included two mature hardwood forests with differing management regimes (US‐WCr and US‐Syv), two fen wetlands with varying levels of canopy sheltering and vegetation (US‐Los and US‐ALQ), and a very tall (400 m) landscape‐level tower (US‐PFa). Together, they provided over 70 site‐years of observations. The 19‐tower Chequamegon Heterogenous Ecosystem Energy‐balance Study Enabled by a High‐density Extensive Array of Detectors 2019 campaign centered around US‐PFa provided additional information on the spatial variation of NEE. Decadal variability was present in all long‐term sites, but cross‐site coherence in interannual NEE in the earlier part of the record became weaker with time as non‐climatic factors such as local disturbances likely dominated flux time series. Average decadal NEE at the tall tower transitioned from carbon source to sink to near neutral over 24 years. Respiration had a greater effect than photosynthesis on driving variations in NEE at all sites. Declining snowfall offset potential increases in assimilation from warmer springs, as less‐insulated soils delayed start of spring green‐up. Higher CO2 increased maximum net assimilation parameters but not total gross primary productivity. Stand‐scale sites were larger net sinks than the landscape tower. Clustered, long‐term carbon flux observations provide value for understanding the diverse links between carbon and climate and the challenges of upscaling these responses across space.
Long-running eddy covariance flux towers provide insights into how the terrestrial carbon cycle operates over multiple timescales. Here, we evaluated variation in net ecosystem exchange (NEE) of carbon dioxide (CO 2 ) across the Chequamegon Ecosystem-Atmosphere Study AmeriFlux core site cluster in the upper Great Lakes region of the USA from 1997 to 2020. The tower network included two mature hardwood forests with differing management regimes (US-WCr and US-Syv), two fen wetlands with varying levels of canopy sheltering and vegetation (US-Los and US-ALQ), and a very tall (400 m) landscape-level tower (US-PFa). Together, they provided over 70 site-years of observations. The 19-tower Chequamegon Heterogenous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors 2019 campaign centered around US-PFa provided additional information on the spatial variation of NEE. Decadal variability was present in all long-term sites, but cross-site coherence in interannual NEE in the earlier part of the record became weaker with time as non-climatic factors such as local disturbances likely dominated flux time series. Average decadal NEE at the tall tower transitioned from carbon source to sink to near neutral over 24 years. Respiration had a greater effect than photosynthesis on driving variations in NEE at all sites. Declining snowfall offset potential increases in assimilation from warmer springs, as less-insulated soils delayed start of spring green-up. Higher CO 2 increased maximum net assimilation parameters but not total gross primary productivity. Stand-scale sites were larger net sinks than the landscape tower. Clustered, long-term carbon flux observations provide value for understanding the diverse links between carbon and climate and the challenges of upscaling these responses across space.
Measuring carbon (C) loss through different pathways is essential for understanding the net ecosystem exchange of carbon dioxide (CO2) in tidal wetlands, especially in a reality where wetland mitigation and protecting coastlines from rapid sea-level rise is a growing priority. Tracking C loss can help reveal where an ecosystem is storing the most C, but it can also help scientists understand near- and long-term impacts of wetland restoration on climate. A recently developed dissolved CO2 (pCO2) platform was tested in a subtropical salt marsh with an apparatus that raised and lowered sensor housing with the tide. Additional low-cost water quality sensors were installed nearby for measuring turbidity and salinity. Here, we evaluated how well this floating sensor platform along with twenty-eight days of biogeochemical data from a tidal salt marsh could detect C import and export from tidal effects. This work provides a pathway to low-cost, routine in-situ C exchange measurements which serve the needs of environmental managers, researchers, and others interested in better estimating wetland C storage and transport.
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