National institutions and policies could provide powerful levers to steer the global food system towards higher agricultural production and lower environmental impact. However, causal evidence of countries' influence is scarce. Using global geospatial datasets and a regression discontinuity design, we provide causal quantifications of the way crop yield gaps, nitrogen pollution and nitrogen pollution per crop yield are influenced by country-level factors, such as institutions and policies. We find that countries influence nitrogen pollution much more than crop yields and there is only a small trade-off between reducing nitrogen pollution and increasing yields. Overall, countries that cause 35% less nitrogen pollution than their neighbours only show a 1% larger yield gap (the difference between attainable and attained yields). Explanations of which countries cause the most pollution relative to their crop yields include economic development, population size, institutional quality and foreign financial flows to land resources, as well as countries' overall agricultural intensity and share in the economy. Our findings suggest that many national governments have an impressive capacity to reduce global nitrogen pollution without having to sacrifice much agricultural production.
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http://dx.doi.org/10.1038/s43016-020-00185-6 | DOI Listing |
J Hazard Mater
January 2025
National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address:
Liquid crystal monomers (LCMs) are emerging pollutants that have attracted attention recently due to their unique chemical properties and wide applications. However, in-depth research on LCMs' potential risks to soil health remains blank. Therefore, 107 LCMs and nine soil health characterization proteins/enzymes were selected as research objects in this study.
View Article and Find Full Text PDFWater Res
January 2025
UK Centre for Ecology & Hydrology, Lake Ecosystems Group, Lancaster LA1 4AP, UK.
Anthropogenic inputs of nitrogen and phosphorus to lakes have increased worldwide, causing phytoplankton chlorophyll concentrations to increase at many sites, with negative implications for biodiversity and human usage of lake resources. However, the conversion of nutrients to chlorophyll varies among lakes, hindering effective management actions to improve water quality. Here, using a rich global dataset, we explore how the relationship between chlorophyll-a (Chla) and nitrogen and phosphorus and inferred nutrient limitation is modified by climate, catchment, hydrology and lake characteristics.
View Article and Find Full Text PDFIntroduction: Short-term exposure to air pollution may worsen the course of ischemic heart disease (IHD), causing acute and chronic coronary syndromes.
Objectives: This study aimed to assess the risk of hospital admission due to chronic and acute coronary syndromes (ACS) after exposure to various air pollutants in Poland.
Methods: In this time-series study, the risk of hospital admission due to IHD over 3 days from exposure to several air pollutants was evaluated.
JACC Adv
December 2024
Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Background: Air pollution is a significant environmental risk factor for cardiovascular diseases (CVDs), but its impact on African populations is under-researched due to limited air quality data and health studies.
Objectives: The purpose of this study was to synthesize available research on the effects of air pollution on CVDs outcomes in African populations, identify knowledge gaps, and suggest areas for research and policy intervention.
Methods: A systematic search of PubMed was conducted using terms capturing criteria ambient air pollutants (for example particulate matter, nitrogen dioxide, ozone, and sulfur dioxide) and CVDs and countries in Africa.
Environ Pollut
January 2025
Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Mobile air pollution measurements are typically aggregated by varying road segment lengths, grid cell sizes, and time intervals. How these spatiotemporal aggregation schemas affect the modeling performance of land use regression models has seldom been assessed. We used 5.
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