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Wetland soil stocks are important global repositories of carbon (C) but are difficult to quantify and model due to varying sampling protocols, and geomorphic/spatio-temporal discontinuity. Merging scales of soil-survey spatial extents with wetland-specific point-based data offers an explicit, empirical and updatable improvement for regional and continental scale soil C stock assessments. Agency-collected and community-contributed soil datasets were compared for representativeness and bias, with the goal of producing a harmonized national map of wetland soil C stocks with error quantification for wetland areas of the conterminous United States (CONUS) identified by the USGS National Landcover Change Dataset. This allowed an empirical predictive model of SOC density to be applied across the entire CONUS using relational %OC distribution alone. A broken-stick quantile-regression model identified %OC with its relatively high analytical confidence as a key predictor of SOC density in soil segments; soils less than 6% OC (hereafter, mineral wetland soils, 85% of the dataset) had a strong linear relationship of %OC to SOC density (RMSE = 0.0059, ~4% mean RMSE) and soils greater than 6% OC (organic wetland soils, 15% of the dataset) had virtually no predictive relationship of %OC to SOC density (RMSE = 0.0348 g C cm, ~56% mean RMSE). Disaggregation by vegetation type, or region did not alter the breakpoint significantly (6% OC) nor improve model accuracies for inland and tidal wetlands. Similarly, SOC stocks in tidal wetlands were related to %OC, but without a mappable product for disaggregation to improve accuracy by soil class, region or depth. Our layered, harmonized CONUS wetland soil maps revised wetland SOC stock estimates downward by 24% (9.5 vs. 12.5Pg C) with the overestimation being entirely an issue of inland, organic wetland soils, (35% lower than SSURGO-derived SOC stocks). Further, SSURGO underestimated soil carbon stocks at depth, as modeled wetland SOC stocks for organic-rich soils showed significant preservation downcore in the NWCA dataset (<3% loss between 0-30 cm and 30-100 cm depths) in contrast to mineral-rich soils (37% downcore stock loss). Future CONUS wetland soil C assessments will benefit from focused attention on improved organic wetland soil measurements, land history, and spatial representativeness.
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http://dx.doi.org/10.3389/fsoil.2021.706701 | DOI Listing |
Huan Jing Ke Xue
January 2025
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
Mine ecological restoration has experienced a long-term development process in China, in which various technologies have been constantly developing and integrating. Based on the related theoretical research and field program, the technical system of mine ecological restoration was constructed, and the characteristics of key technologies were specifically grasped. In this research, the environment, including natural elements and the spatial environment, is the object of mine ecological restoration, which requires further long-term investigation and monitoring.
View Article and Find Full Text PDFSci Total Environ
December 2024
International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China; International Joint Research Center for Arctic Environment and Ecosystem (IJRC-AEE), Polar Academy, Harbin Institute of Technology, Harbin 150090, China; IJRC-PTS-NA, Toronto M2N 6X9, Canada.
Amine antioxidants (ANs) are emerging organic pollutants that are widely used in industrial products. The extensive use of ANs has polluted the environments. At present, there is no report on the pollution situation of ANs in wetland environment.
View Article and Find Full Text PDFEnviron Geochem Health
December 2024
College of Resources and Environment, Key Laboratory of Agricultural Environment, Shandong Agricultural University, Tai'an, 271000, China.
Excessive heavy metals (HMs) exposure in surface soils may cause non-negligible health risks to human beings; however, the potential health risk assessment of HMs in Yellow River Delta wetland (YRDW) soils has rarely been evaluated. In this study, we sampled surface wetland soils from ten typical functional areas in YRDW, assessed the HMs pollution status, evaluated their potential health risks, stimulated their probabilistic distributions of health risks and analyzed their potential source apportionment using Positive matrix factorization and Monte Carlo simulation. Enrichment factor (EF) and geo-accumulation index (I) indicated significant anthropogenic impacts, particularly in oil-contaminated sites, while Sediment Quality Guidelines (SQGs) comparison results suggested potential ecological risks, especially for As and Ni, which were occasionally above threshold effect levels.
View Article and Find Full Text PDFEcotoxicol Environ Saf
December 2024
Wetland Ecological Resources Research Center, Jiangxi Academy of Forestry, Nanchang 330032, China. Electronic address:
The accumulation of microplastics (MPs) in soils due to anthropogenic activities affects the growth and development of plants and thereby endangering the diversity and function of ecosystems. Although there is an increasing number of studies exploring the effects of MPs on plants in recent days, most of them focus on crops only. However, few studies have been conducted on woody plants that play a prominent role in ecosystems, while crucial edaphic factors which potentially restrain plant growth in MP-contaminated soils are yet to be revealed.
View Article and Find Full Text PDFIn recent decades, biodiversity loss has greatly impacted planetary and human health. Children are at additional risk of adverse effects due to unique biological, developmental, and behavioral factors, as well as their longer exposure to an altered planet as a function of their young age. These effects are heightened for children living in vulnerable socioeconomic conditions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!