Microplastics (MPs, <5 mm) have been reported as emerging environmental contaminants, but reliable data are still lacking. We compared the two most promising techniques for MP analysis, namely, Raman and Fourier transform infrared (FTIR) spectroscopy, by analyzing MPs extracted from North Sea surface waters. Microplastics >500 μm were visually sorted and manually analyzed by μ-Raman and attenuated total reflection (ATR)-FTIR spectroscopy. Microplastics ≤500 μm were concentrated on gold-coated filters and analyzed by automated single-particle exploration coupled to μ-Raman (ASPEx-μ-Raman) and FTIR imaging (reflection mode). The number of identified MPs >500 μm was slightly higher for μ-Raman (+23%) than ATR-FTIR analysis. Concerning MPs ≤500 μm, ASPEx-μ-Raman quantified two-times higher MP numbers but required a four-times higher analysis time compared to FTIR imaging. Because ASPEx-μ-Raman revealed far higher MP concentrations (38–2621 particles m–3) compared to the results of previous water studies (0–559 particles m–3), the environmental concentration of MPs ≤500 μm may have been underestimated until now. This may be attributed to the exceptional increase in concentration with decreasing MP size found in this work. Our results demonstrate the need for further research to enable time-efficient routine application of ASPEx-μ-Raman for reliable MP counting down to 1 μm.

Research on the environmental impacts from the global value chain of plastics has typically focused on the disposal phase, considered most harmful to the environment and human health. However, the production of plastics is also responsible for substantial environmental, health and socioeconomic impacts. We show that the carbon and particulate-matter-related health footprint of plastics has doubled since 1995, due mainly to growth in plastics production in coal-based economies. Coal-based emissions have quadrupled since 1995, causing almost half of the plastics-related carbon and particulate-matter-related health footprint in 2015. Plastics-related carbon footprints of China’s transportation, Indonesia’s electronics industry and India’s construction sector have increased more than 50-fold since 1995. In 2015, plastics caused 4.5% of global greenhouse gas emissions. Moreover, 6% of global coal electricity is used for plastics production. The European Union and the United States have increasingly consumed plastics produced in coal-based economies. In 2015, 85% of the workforce required for plastics consumed by the European Union and the United States was employed abroad, but 80% of the related value added was generated domestically. As high-income regions have outsourced the energy-intensive steps of plastics production to coal-based economies, renewable energy investments throughout the plastics value chain are critical for sustainable production and consumption of plastics.

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Transparency in global value chains of materials, fuels, and food is critical for the implementation of sustainability policies. Such policies should be led by the G20, who represent more than 80% of global material, fuel, and food consumption. Multi-regional input-output (MRIO) analysis plays an important role for consumption-based assessment, including supply chains and their environmental impacts. However, previous accounting schemes were unable to fully assess the impacts of materials, fuels, and food. To close this gap, we provide an improved method to map key aspects of sustainability along value chains of materials, fuels, and food. The results show that the rise in global coal-related greenhouse gas (GHG) emissions between 1995 and 2015 was driven by the G20’s metals and construction materials industry. In 2015, the G20 accounted for 96% of global coal-related GHG emissions, of which almost half was from the extraction and processing of metals and construction materials in China and India. Major drivers include China’s rising infrastructure and exports of metals embodied in machinery, transport and electronics consumed by other G20 members. In 2015, the vast majority (70–95%) of the GHG emissions of metals consumed by the EU, USA, Canada, Australia, and other G20 members were emitted abroad, mostly in China. In contrast, hotspots in the impact displacement of water stress, land-use related biodiversity loss, and low-paid workforce involve the G20’s food imports from non-G20 members. Particularly high-income members have contributed to the G20’s rising environmental footprints by their increasing demand for materials, food and fuels extracted and processed in lower-income regions with less strict environmental policies, higher water stress and more biodiversity loss. Our results underline the G20’s importance of switching to renewable energy, substituting high-impact materials, improving supply chains, and using site-specific competitive advantages to reduce impacts on water and ecosystems.

Anticipated infrastructure growth and energy transition may exacerbate biodiversity loss through increased demand for mining products. This study uses an enhanced multiregional input–output database (REX, Resolved EXIOBASE) and supply chain impact mapping (SCIM) method to assess global biodiversity loss associated with mining-related land use. We identify hotspots in the supply chain of mining products, compare the impact of fossil and renewable electricity, and estimate the share of mining in total global impacts. We found that half of the global mining-related biodiversity loss occurs in Indonesia, Australia, and New Caledonia. Major international trade flows of embodied biodiversity loss involve Indonesia’s coal exports to China and India, New Caledonia’s nickel exports to Japan and Australia, and Australia’s iron and bauxite exports to China. Key end-consumers include China’s growing infrastructure and the EU’s and USA’s household consumption. Electricity generation accounted for 10% of global mining-related biodiversity loss in 2014. The impact of coal-fired electricity was 10 times higher than that of renewables per unit of electricity generated. Globally, mining contributes to less than 1% of the total land use-related biodiversity loss, which is dominated by agriculture. Our results provide transparency in sourcing more sustainable mining products and underline synergies in fostering renewables to meet local biodiversity and global climate targets.

The expected growth in infrastructure and energy transition may exacerbate biodiversity loss by the rising demand for mining products. Many mining products are extracted in the Global South and exported to the global North for further processing and final consumption, where a link to the devastating environmental effects is often missing. Based on an enhanced multi-regional input-output database, this study assesses global biodiversity loss associated with land use of mining (mining-related) to identify hotspots, key processing industries, and final consumers of mining products. Our study reveals that half of global mining-related biodiversity loss occur in Indonesia, Australia, and New Caledonia. Major international trade flows of embodied biodiversity loss involve Indonesia’s coal exports to China and India, New Caledonia’s nickel exports to Japan and Australia, and Australia’s iron and aluminum exports to China. Key consumers include China’s growing infrastructure and households in the EU and USA. Electricity generation accounted for 10% of global mining-related biodiversity loss in 2014. The impact of coal-fired electricity is far higher compared to renewables, both overall and per electricity generated. Our results underline synergies in fostering renewables while reducing global biodiversity loss, and provide transparency for industry and policy to source more sustainable mining products.