We investigated the environmental impact of a deep water fish farm (190 m). Despite deep water and low water currents, sediments underneath the farm were heavily enriched with organic matter, resulting in stimulated biogeochemical cycling. During the first 7 months of the production cycle benthic fluxes were stimulated >29 times for CO₂ and O₂ and >2000 times for NH₄ ⁺, when compared to the reference site. During the final 11 months, however, benthic fluxes decreased despite increasing sedimentation. Investigations of microbial mineralization revealed that the sediment metabolic capacity was exceeded, which resulted in inhibited microbial mineralization due to negative feed-backs from accumulation of various solutes in pore water. Conclusions are that (1) deep water sediments at 8 °C can metabolize fish farm waste corresponding to 407 and 29 mmol m⁻² d⁻¹ POC and TN, respectively, and (2) siting fish farms at deep water sites is not a universal solution for reducing benthic impacts.

The pH change and the release of organic matter and metals from sediment, due to the potential CO₂ acidified seawater leakages from a CCS (Carbon Capture and Storage) site are presented. Column leaching test is used to simulate a scenario where a flow of acidified seawater is in contact with recent contaminated sediment. The behavior of pH, dissolved organic carbon (DOC) and metals As, Cd, Cr, Cu, Ni, Pb, Zn, with liquid to solid (L/S) ratio and pH is analyzed. A stepwise strategy using empirical expressions and a geochemical model was conducted to fit experimental release concentrations. Despite the neutralization capacity of the seawater-carbonate rich sediment system, important acidification and releases are expected at local scale at lower pH. The obtained results would be relevant as a line of evidence input of CCS risk assessment, in an International context where strategies to mitigate the climate change would be applied.

The effects of elevated carbon dioxide (CO₂) and nitrogen (N) addition on foliar N and phosphorus (P) stoichiometry were investigated in five native tree species (four non-N₂ fixers and one N₂ fixer) in open-top chambers in southern China from 2005 to 2009. The high foliar N:P ratios induced by high foliar N and low foliar P indicate that plants may be more limited by P than by N. The changes in foliar N:P ratios were largely determined by P dynamics rather than N under both elevated CO₂ and N addition. Foliar N:P ratios in the non-N₂ fixers showed some negative responses to elevated CO₂, while N addition reduced foliar N:P ratios in the N₂ fixer. The results suggest that N addition would facilitate the N₂ fixer rather than the non-N₂ fixers to regulate the stoichiometric balance under elevated CO₂.

Long-term fluxes of CO₂, and combined short-term fluxes of CH₄ and CO₂ were measured with the eddy covariance technique in the city centre of Florence. CO₂ long-term weekly fluxes exhibit a high seasonality, ranging from 39 to 172% of the mean annual value in summer and winter respectively, while CH₄ fluxes are relevant and don’t exhibit temporal variability. Contribution of road traffic and domestic heating has been estimated through multi-regression models combined with inventorial traffic and CH₄ consumption data, revealing that heating accounts for more than 80% of observed CO₂ fluxes. Those two components are instead responsible for only 14% of observed CH₄ fluxes, while the major residual part is likely dominated by gas network leakages. CH₄ fluxes expressed as CO₂ equivalent represent about 8% of CO₂ emissions, ranging from 16% in summer to 4% in winter, and cannot therefore be neglected when assessing greenhouse impact of cities.

Atmospheric nitrogen deposition and [CO₂] are increasing and represent environmental problems. Planting fast-growing species is prospering to moderate these environmental impacts by fixing CO₂. Therefore, we examined the responses of growth, photosynthesis, and defense chemical in leaves of Eucalyptus urophylla (U) and the hybrid of E. deglupta × E. camadulensis (H) to different CO₂ and nitrogen levels. High nitrogen load significantly increased plant growth, leaf N, net photosynthetic rate (Agᵣₒwₜₕ), and photosynthetic water use efficiency (WUE). High CO₂ significantly increased Agᵣₒwₜₕ, photosynthetic nitrogen use efficiency (PNUE) and WUE. Secondary metabolite (SM, i.e. total phenolics and condensed tannin) was specifically altered; as SM of U increased by high N load but not by elevated [CO₂], and vice versa for SM of H.

This review paper concentrates on carbon dioxide emissions, discussing its agricultural sources and the possibilities for minimizing emissions from these sources in wheat production in Canterbury, New Zealand. This study was conducted over 35,300 ha of irrigated and dryland wheat fields in Canterbury. Total CO₂ emissions were 1032 kg CO₂/ha in wheat production. Around 52% of the total CO₂ emissions were released from fertilizer use and around 20% were released from fuel used in wheat production. Nitrogen fertilizers were responsible for 48% (499 kg CO₂/ha) of CO₂ emissions. The link between nitrogen consumption, CO₂ emissions and crop production showed that reducing the CO₂ emissions would decrease crop production and net financial benefits to farmers.

A complete accounting of net greenhouse gas balance (NGHGB) and greenhouse gas intensity (GHGI) affected by Fe(III) fertilizer application was examined in typical annual paddy rice-winter wheat rotation cropping systems in southeast China. Annual fluxes of soil carbon dioxide (CO₂), methane (CH₄) and nitrous oxide (N₂O) were measured using static chamber method, and the net ecosystem exchange of CO₂ (NEE) was determined by the difference between soil CO₂ emissions (RH) and net primary production (NPP). Fe(III) fertilizer application significantly decreased RH without adverse effects on NPP of rice and winter wheat. Fe(III) fertilizer application decreased seasonal CH₄ by 27–44%, but increased annual N₂O by 65–100%. Overall, Fe(III) fertilizer application decreased the annual NGHGB and GHGI by 35–47% and 30–36%, respectively. High grain yield and low greenhouse gas intensity can be reconciled by Fe(III) fertilizer applied at the local recommendation rate in rice-based cropping systems.

We investigated the effect of increasing CO₂ concentrations on the growth and viability of ecophysiologically different microorganisms to obtain information for a leakage scenario of CO₂ into shallow aquifers related to the capture and storage of CO₂ in deep geological sections. CO₂ concentrations in the gas phase varied between atmospheric conditions and 80% CO₂ for the aerobic strains Pseudomonas putida F1 and Bacillus subtilis 168 and up to 100% CO₂ for the anaerobic strains Thauera aromatica K172 and Desulfovibrio vulgaris Hildenborough. Increased CO₂ concentrations caused prolonged lag-phases, and reduced growth rates and cell yields; the extent of this effect was proportional to the CO₂ concentration. Additional experiments with increasing CO₂ concentrations and increasing pressure (1–5000 kPa) simulated situations occurring in deep CO₂ storage sites. Living cell numbers decreased significantly within 24 h at pressures ≥1000 kPa, demonstrating a severe lethal effect for the combination of high pressure and CO₂.

Ozone-sensitive (S156) and -tolerant (R123 and R331) genotypes of snap bean (Phaseolus vulgaris L.) were tested as a plant bioindicator system for detecting O₃ effects at current and projected future levels of tropospheric O₃ and atmospheric CO₂ under field conditions. Plants were treated with ambient air, 1.4× ambient O₃ and 550 ppm CO₂ separately and in combination using Free Air Concentration Enrichment technology. Under ambient O₃ concentrations pod yields were not significantly different among genotypes. Elevated O₃ reduced pod yield for S156 (63%) but did not significantly affect yields for R123 and R331. Elevated CO₂ at 550 ppm alone did not have a significant impact on yield for any genotype. Amelioration of the O₃ effect occurred in the O₃ + CO₂ treatment. Ratios of sensitive to tolerant genotype pod yields were identified as a useful measurement for assessing O₃ impacts with potential applications in diverse settings including agricultural fields.

On-road emissions are a major contributor to rising concentrations of atmospheric greenhouse gases. In this study, we applied a downscaling methodology based on commonly available spatial parameters to model on-road CO₂ emissions at the 1 × 1 km scale for the Boston, MA region and tested our approach with surface-level CO₂ observations. Using two previously constructed emissions inventories with differing spatial patterns and underlying data sources, we developed regression models based on impervious surface area and volume-weighted road density that could be scaled to any resolution. We found that the models accurately reflected the inventories at their original scales (R² = 0.63 for both models) and exhibited a strong relationship with observed CO₂ mixing ratios when downscaled across the region. Moreover, the improved spatial agreement of the models over the original inventories confirmed that either product represents a viable basis for downscaling in other metropolitan regions, even with limited data.