Given the many public health and environmental impacts associated with the use of pesticides, comprehensive pesticide application data are a high priority for environmental and health professionals, government agencies, and community groups in Wallonia (Belgium). In that context, geographic information system (GIS) approaches for mapping estimates of agricultural pesticide use were developed in the present study. Data on pesticide application rates and high-resolution annual datasets of the geographic distribution of crops were used to complete this analysis in Wallonia over the period 2015–2017. The method was implemented in Python in order to allow easy update and improvements of maps, or to segment maps by individual pesticides, chemical groups of pesticides (e.g. insecticides, herbicides), etc. Linked databases were created to classify, select, and possibly weight AIs according to specific requests and criteria. The results provide a first map of agricultural pesticide use in Wallonia, which depicts the best picture up to now of their geographic distribution. Maps of fungicides, herbicides, and plant growth regulators showed quite similar spatial patterns as the map of the combination of all pesticides. In contrast, the insecticide map showed a specific pattern related almost exclusively to dwarf-tree orchards in some municipalities in northern Wallonia. This research work is a preliminary result on the spatial characterization of agricultural pesticide use in Wallonia and give a valuable basis for research and environmental health actions in Belgium. Forthcoming developments will focus on exposure characterization to agricultural pesticides using GIS models. Using this information, policymakers will able to detect potential priority zones and take action to check and reduce agricultural pesticide loads in the environment.

This paper assesses the multiplexing efficiency of environmental taxes in ensuring environmental, energy, and economic security which is an integral part of sustainability in six European countries that are leaders in the Environmental Performance Index. This study aims to confirm the hypothesis that environmental taxes and payments could simultaneously affect changes in important environmental, energy, and economic security as well as sustainability parameters. Not all the previously selected taxes, which affect the parameters of all three areas of environmental, energy, and economic sustainability and security can ensure their simultaneous growth. Calculations made for the period 1994–2019 showed that in the system of environmental taxation of Denmark, five environmental taxes and fees provide an increase in the integrated level of environmental, economic, and energy security and sustainability; in Belgium, two environmental taxes are characterized by multiplex efficiency; in France, seven environmental taxes and payments; in Austria, four; in Finland, one; and in the UK, four. The paper’s findings could create the basis for improving environmental taxation systems in the countries to increase comprehensive national security growth and ensure sustainable development path of the countries.

This paper applies the modified undesirable dynamic data envelopment analysis (DEA) model by considering the role of forest carbon sinks to evaluate European countries’ carbon dioxide (CO₂) emissions and productivity efficiency. Taking population and energy consumption as input variables, gross domestic product (GDP) as the desirable input, CO₂ as the undesirable output, and fixed assets as an inter-temporal carry-out input variable, our results suggest considering the fixed amount of the forest carbon sinks significantly affects efficiency rankings. The overall efficiency rankings for Ireland, Austria, Italy, Germany, Spain, and Belgium look to be overrated, while those of Finland, France, and Netherlands are apparently underrated. In terms of Total-Factor Efficiency analysis, countries with the best performance in efficiency ranking are Denmark, Luxembourg, Norway, Sweden, and the UK, thanks to their long-term effort at addressing the impact of forest carbon sinks and the effect of CO₂ emissions on efficiency.

Detrimental effects of chemical pollution—primarily caused by human activities—on aquatic ecosystems have increasingly gained attention. Because of its hydrophobic qualities, mercury is prone to easily bioaccumulate and biomagnify through the food chain, decreasing biodiversity and eventually also affecting humans. In the present study, accumulated mercury concentrations were measured in muscle and liver tissue of perch (Perca fluviatilis) and European eel (Anguilla anguilla) collected at 26 sampling locations in Flemish (Belgian) waterbodies, allowing a comparison of these species within a variety of environmental situations. Furthermore, effects of size and weight have been assessed, expected to influence accumulation and storage of pollutants. Mercury concentrations in perch ranged up to 1.7 μg g⁻¹ dw (median: 0.29 μg g⁻¹ dw) in muscle and from 0.02 to 0.77 μg g⁻¹ dw (median: 0.11 μg g⁻¹ dw) in liver tissue. For eel, these concentrations were between 0.07 and 1.3 μg g⁻¹ dw (median: 0.39 μg g⁻¹ dw) and between 0.08 and 1.4 μg g⁻¹ dw (median: 0.55 μg g⁻¹ dw) respectively. We found a correlation of accumulated mercury with length in perch, independent of location. Furthermore, a significant difference in accumulated mercury concentrations between the targeted species was measured, with the highest mean concentrations per dry weight in eel liver and muscle tissue. In perch, higher concentrations were found in muscle compared to liver tissue, while in eel, liver tissue showed the highest concentrations. These findings were further considered with concentrations corrected for lipid content, excluding the fat compartment, which is known to a hold negligible portion of the total and methyl mercury concentrations. This confirmed our previous conclusions, except for mercury concentrations in eel. Here there was no longer a significant difference between muscle and liver concentrations. Finally, health risk analyses revealed that only frequent consumption of local eel (> 71 g day⁻¹) could pose risks to humans.