There is a need for modeling tools capable of estimating CO emissions from land application of biosolids and manure. The Denitrification and Decomposition model (DNDC) was improved for this capacity by adding a separate manure C pool to disaggregate manure decomposition from the soil organic matter pools. The effect of soil temperature on soil organic matter decomposition was also improved. Data collected from two climatically distinct sites in Montreal (Quebec) and Truro (Nova Scotia) with corn were used to test DNDC for simulating yield, soil temperature and moisture, and CO fluxes from soil amended with biosolids (mesophilic anaerobically digested, composted, or alkaline-stabilized). A third site in Harrow (Ontario) was used to verify the model for solid cattle manure applied to a corn-soybean field. Crop yields were well simulated by the improved model (rRMSE 4.1-30.1 %) for all sites. The model (0.78 ≤ d ≤ 0.93) outperformed the default version (0.61 ≤ d ≤ 0.9) in simulating CO fluxes across all sites. Similarly, the model effectively simulated both soil temperature (d ≥ 0.88) and moisture (0.53 ≤ d ≤ 0.91). The addition of an independent biosolids/manure C pool in DNDC resulted in more accurate simulation of seasonal soil C decomposition and CO emissions for alkalized and composted biosolids. The modified temperature function alleviated the over-prediction of CO emissions shortly after biosolid application and improved the timing of emissions during the growing season. The enhanced model will help simulate best management practices for integrated crop-livestock-manure systems, reducing reliance on nitrogen fertilizer.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2025.178913DOI Listing

Publication Analysis

Top Keywords

soil temperature
12
decomposition emissions
8
emissions land
8
denitrification decomposition
8
decomposition model
8
soil organic
8
organic matter
8
sites model
8
model
7
soil
7

Similar Publications

Salinity stress poses a significant threat to crop production due to rapid soil salinization as a consequence of climate change. Brinjal, a vital and resilient vegetable crop with extensive genetic variation, exhibits a diverse range of salt tolerance responses. Salt-tolerant and susceptible brinjal genotypes were assessed for their differential tolerance mechanisms under 8 dS m salinity.

View Article and Find Full Text PDF

Real-time recombinase polymerase amplification assay for fast quantification of tetracycline resistance genes tetA in the surface water.

J Hazard Mater

March 2025

College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou, Zhejiang 310058, China; State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, Zhejiang 310058, China. Electronic address:

The tetracycline resistance gene tetA is a widely detected antibiotic resistance gene (ARG) posing significant ecological health risks in surface water. The development of rapid quantitative assays for tetA can substantially reduce both the time and economic costs associated with real-time monitoring of tetA transportation dynamics in the environment. In this study, a novel method for the quantification of tetracycline resistance gene tetA using real-time recombinase polymerase amplification was developed, which can complete the quantification of tetA within 20 minutes at a constant temperature of 39 ℃, achieving a detection limit of 50 copies/μL with 100 % sensitivity and specificity.

View Article and Find Full Text PDF

There is substantial interest in restoring tidal wetlands because of their high rates of long-term soil carbon sequestration and other valued ecosystem services. However, these wetlands are sometimes net sources of greenhouse gases (GHG) that may offset their climate cooling potential. GHG fluxes vary widely within and across tidal wetlands, so it is essential to better understand how key environmental drivers, and importantly, land management, affect GHG dynamics.

View Article and Find Full Text PDF

Future variations of global vegetation are of paramount importance for the socio-ecological systems. However, up to now, it is still difficult to develop an approach to project the global vegetation considering the spatial heterogeneities from vegetation, climate factors, and models. Therefore, this study first proposes a novel model framework named GGMAOC (grid-by-grid; multi-algorithms; optimal combination) to construct an optimal model using six algorithms (i.

View Article and Find Full Text PDF

Description of Cytobacillus Mangrovibacter sp. nov., and Cytobacillus Spartinae sp. nov., Isolated from Mangrove Sediment.

Curr Microbiol

March 2025

Institute of Resources, Environment and Soil Fertilizer, Fujian Academy of Agricultural Sciences, Fuzhou City, 350003, Fujian Province, PR China.

Two Gram-stain-positive, aerobic, rod-shaped, and motile strains FJAT-53684 and FJAT-54145 were isolated from the mangrove sediment. They optimally grew at pH 8.0 and could tolerate NaCl up to 5% (w/v).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!