Rochman, C. M. & Hoellein, T. The global odyssey of plastic pollution. Science 368, 1184–1185 (2020).
Hartmann, N. B. et al. Are we speaking the same language? Recommendations for a definition and categorization framework for plastic debris. Environ. Sci. Technol. 53, 1039–1047 (2019).
Guo, Z. et al. Global meta-analysis of microplastic contamination in reservoirs with a novel framework. Water Res. 207, 117828 (2021).
Courtene-Jones, W., van Gennip, S., Penicaud, J., Penn, E. & Thompson, R. C. Synthetic microplastic abundance and composition along a longitudinal gradient traversing the subtropical gyre in the North Atlantic Ocean. Mar. Pollut. Bull. 185, 114371 (2022).
MacLeod, M., Arp, H. P. H., Tekman, M. B. & Jahnke, A. The global threat from plastic pollution. Science 373, 61–65 (2021).
Waldschläger, K., Lechthaler, S., Stauch, G. & Schüttrumpf, H. The way of microplastic through the environment – application of the source-pathway-receptor model. Sci. Total Environ. 713, 136584 (2020).
Talbot, R. & Chang, H. Microplastics in freshwater: a global review of factors affecting spatial and temporal variations. Environ. Pollut. 292, 118393 (2022).
Horton, A. A., Walton, A., Spurgeon, D. J., Lahive, E. & Svendsen, C. Microplastics in freshwater and terrestrial environments: evaluating the current understanding to identify the knowledge gaps and future research priorities. Sci. Total Environ. 586, 127–141 (2017).
Ockenden, A., Tremblay, L. A., Dikareva, N. & Simon, K. S. Towards more ecologically relevant investigations of the impacts of microplastic pollution in freshwater ecosystems. Sci. Total Environ. 792, 148507 (2021).
Blettler, M. C. M., Abrial, E., Khan, F. R., Sivri, N. & Espinola, L. A. Freshwater plastic pollution: recognizing research biases and identifying knowledge gaps. Water Res. 143, 416–424 (2018).
Li, C., Busquets, R. & Campos, L. C. Assessment of microplastics in freshwater systems: a review. Sci. Total Environ. 707, 135578 (2020).
Messager, M. L., Lehner, B., Grill, G., Nedeva, I. & Schmitt, O. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 7, 13603 (2016).
Mantzouki, E. et al. Snapshot surveys for lake monitoring, more than a shot in the dark. Front. Ecol. Evol. 6, 201 (2018).
Kedzierski, M. et al. Microplastics in Mediterranean Sea: a protocol to robustly assess contamination characteristics. PLoS One 14, e0212088 (2019).
Eriksen, M., Thiel, M. & Lebreton, L. in Hazardous Chemicals Associated with Plastics in the Marine Environment (eds Takada, H. & Karapanagioti, H. K.) 135–162 (Springer, 2017).
Yuan, W., Liu, X., Wang, W., Di, M. & Wang, J. Microplastic abundance, distribution and composition in water, sediments, and wild fish from Poyang Lake, China. Ecotoxicol. Environ. Saf. 170, 180–187 (2019).
Barrows, A. P. W., Neumann, C. A., Berger, M. L. & Shaw, S. D. Grab vs. neuston tow net: a microplastic sampling performance comparison and possible advances in the field. Anal. Methods 9, 1446–1453 (2017).
Free, C. M. et al. High-levels of microplastic pollution in a large, remote, mountain lake. Mar. Pollut. Bull. 85, 156–163 (2014).
Deng, C. et al. Impacts of underwater topography on the distribution of microplastics in lakes: a case from Dianchi Lake, China. Sci. Total Environ. 837, 155708 (2022).
Brahney, J., Hallerud, M., Heim, E., Hahnenberger, M. & Sukumaran, S. Plastic rain in protected areas of the United States. Science 368, 1257–1260 (2020).
Carney Almroth, B. M. et al. Quantifying shedding of synthetic fibers from textiles; a source of microplastics released into the environment. Environ. Sci. Pollut. Res. 25, 1191–1199 (2018).
Napper, I. E. & Thompson, R. C. Release of synthetic microplastic plastic fibres from domestic washing machines: effects of fabric type and washing conditions. Mar. Pollut. Bull. 112, 39–45 (2016).
Gao, F. et al. The seasonal distribution characteristics of microplastics on bathing beaches along the coast of Qingdao, China. Sci. Total Environ. 783, 146969 (2021).
Shim, W. J., Hong, S. H. & Eo, S. in Microplastic Contamination in Aquatic Environments: An Emerging Matter of Environmental Urgency (ed. Zeng, E. Y.) 1–26 (Elsevier, 2018).
Waldman, W. R. & Rillig, M. C. Microplastic research should embrace the complexity of secondary particles. Environ. Sci. Technol. 54, 7751–7753 (2020).
Schmaltz, E. et al. Plastic pollution solutions: emerging technologies to prevent and collect marine plastic pollution. Environ. Int. 144, 106067 (2020).
Frydkjær, C. K., Iversen, N. & Roslev, P. Ingestion and egestion of microplastics by the Cladoceran Daphnia magna: effects of regular and irregular shaped plastic and sorbed phenanthrene. Bull. Environ. Contam. Toxicol. 99, 655–661 (2017).
Botterell, Z. L. R. et al. Bioavailability of microplastics to marine zooplankton: effect of shape and infochemicals. Environ. Sci. Technol. 54, 12024–12033 (2020).
Ziajahromi, S., Kumar, A., Neale, P. A. & Leusch, F. D. L. Impact of microplastic beads and fibers on waterflea (Ceriodaphnia dubia) survival, growth, and reproduction: implications of single and mixture exposures. Environ. Sci. Technol. 51, 13397–13406 (2017).
Mehinto, A. C. et al. Risk-based management framework for microplastics in aquatic ecosystems. Microplast. Nanoplast. 2, 17 (2022).
Santos, R. G., Andrades, R., Fardim, L. M. & Martins, A. S. Marine debris ingestion and Thayer’s law – the importance of plastic color. Environ. Pollut. 214, 585–588 (2016).
Lusher, A. L., Bråte, I. L. N., Munno, K., Hurley, R. R. & Welden, N. A. Is it or isn’t it: the importance of visual classification in microplastic characterization. Appl. Spectrosc. 74, 1139–1153 (2020).
Martí, E. et al. The colors of the ocean plastics. Environ. Sci. Technol. 54, 6594–6601 (2020).
Geyer, R., Jambeck, J. R. & Law, K. L. Production, use, and fate of all plastics ever made. Sci. Adv. 3, e1700782 (2017).
Erni-Cassola, G., Zadjelovic, V., Gibson, M. I. & Christie-Oleza, J. A. Distribution of plastic polymer types in the marine environment; a meta-analysis. J. Hazard. Mater. 369, 691–698 (2019).
Dusaucy, J., Gateuille, D., Perrette, Y. & Naffrechoux, E. Microplastic pollution of worldwide lakes. Environ. Pollut. 284, 117075 (2021).
Baldwin, A. K., Corsi, S. R. & Mason, S. A. Plastic debris in 29 Great Lakes tributaries: relations to watershed attributes and hydrology. Environ. Sci. Technol. 50, 10377–10385 (2016).
Tanentzap, A. J. et al. Microplastics and anthropogenic fibre concentrations in lakes reflect surrounding land use. PLoS Biol. 19, e3001389 (2021).
Dikareva, N. & Simon, K. S. Microplastic pollution in streams spanning an urbanisation gradient. Environ. Pollut. 250, 292–299 (2019).
Jenny, J.-P. et al. Scientists’ warning to humanity: rapid degradation of the world’s large lakes. J. Great Lakes Res. 46, 686–702 (2020).
Jassby, A. D., Goldman, C. R., Reuter, J. E., Richards, R. C. & Heyvaert, A. C. in The Great Lakes of the World (GLOW): Food-Web, Health and Integrity (eds Munawar, M. & Hecky, R. E.) 431–454 (Michigan State Univ. Press, 2001).
Windsor, F. M. et al. A catchment-scale perspective of plastic pollution. Glob. Change Biol. 25, 1207–1221 (2019).
Royer, S.-J., Ferrón, S., Wilson, S. T. & Karl, D. M. Production of methane and ethylene from plastic in the environment. PLoS One 13, e0200574 (2018).
Sheridan, E. A. et al. Plastic pollution fosters more microbial growth in lakes than natural organic matter. Nat. Commun. 13, 4175 (2022).
Woolway, R. I. et al. Global lake responses to climate change. Nat. Rev. Earth Environ. 1, 388–403 (2020).
Dugan, H. A. et al. Salting our freshwater lakes. Proc. Natl Acad. Sci. 114, 4453–4458 (2017).
Vadeboncoeur, Y. et al. Blue waters, green bottoms: benthic filamentous algal blooms are an emerging threat to clear lakes worldwide. Bioscience 71, 1011–1027 (2021).
GESAMP. Guidelines for the Monitoring and Assessment of Plastic Litter and Microplastics in the Ocean (United Nations Environment Programme (UNEP), 2019).
Wiggin, K. J. & Holland, E. B. Validation and application of cost and time effective methods for the detection of 3–500 μm sized microplastics in the urban marine and estuarine environments surrounding Long Beach, California. Mar. Pollut. Bull. 143, 152–162 (2019).
Zhao, S., Danley, M., Ward, J. E., Li, D. & Mincer, T. J. An approach for extraction, characterization and quantitation of microplastic in natural marine snow using Raman microscopy. Anal. Methods 9, 1470–1478 (2017).
Hurley, R. R., Lusher, A. L., Olsen, M. & Nizzetto, L. Validation of a method for extracting microplastics from complex, organic-rich, environmental matrices. Environ. Sci. Technol. 52, 7409–7417 (2018).
European Chemicals Agency (ECHA). Annex XV Restriction Report – Proposal for a Restriction (ECHA, 2019).
Coffin, S. Proposed definition of ‘Microplastics in drinking water’. California Water Boards https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/docs/stffrprt_jun3.pdf (2020).
Käppler, A. et al. Analysis of environmental microplastics by vibrational microspectroscopy: FTIR, Raman or both? Anal. Bioanal. Chem. 408, 8377–8391 (2016).
Kazour, M., Jemaa, S., Issa, C., Khalaf, G. & Amara, R. Microplastics pollution along the Lebanese coast (Eastern Mediterranean Basin): occurrence in surface water, sediments and biota samples. Sci. Total Environ. 696, 133933 (2019).
Alfonso, M. B. et al. First evidence of microplastics in nine lakes across Patagonia (South America). Sci. Total Environ. 733, 139385 (2020).
Athey, S. N. & Erdle, L. M. Are we underestimating anthropogenic microfiber pollution? A critical review of occurrence, methods, and reporting. Environ. Toxicol. Chem. 41, 822–837 (2022).
Hutsebaut, D., Vandenabeele, P. & Moens, L. Evaluation of an accurate calibration and spectral standardization procedure for Raman spectroscopy. Analyst 130, 1204–1214 (2005).
Remigi, S., Mancini, T., Ferrando, S. & Frezzotti, M. L. Interlaboratory application of Raman CO2 densimeter equations: experimental procedure and statistical analysis using bootstrapped confidence intervals. Appl. Spectrosc. 75, 867–881 (2021).
Frezzotti, M. L. Diamond growth from organic compounds in hydrous fluids deep within the Earth. Nat. Commun. 10, 4952 (2019).
Wojdyr, M. Fityk: a general-purpose peak fitting program. J. Appl. Crystallogr. 43, 1126–1128 (2010).
Nava, V., Frezzotti, M. L. & Leoni, B. Raman spectroscopy for the analysis of microplastics in aquatic systems. Appl. Spectrosc. 75, 1341–1357 (2021).
NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team. ASTER Global Digital Elevation Model V003. NASA EOSDIS Land Processes DAAC https://lpdaac.usgs.gov/products/astgtmv003/ (2019).
Buchhorn, M. et al. Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe. https://doi.org/10.5281/ZENODO.3939050 (2020).
Center for International Earth Science Information Network – CIESIN – Columbia University. Gridded Population of the World, Version 4 (GPWv4): Administrative Unit Center Points with Population Estimates, Revision 11. https://doi.org/10.7927/H4BC3WMT (NASA Socioeconomic Data and Applications Center (SEDAC), 2020).
Wildlife Conservation Society (WCS), Center for International Earth Science Information Network (CIESIN) and Columbia University. Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Footprint Dataset (Geographic). https://doi.org/10.7927/H4M61H5F (NASA Socioeconomic Data and Applications Center (SEDAC), 2005).
Han, J., Kamber, M. & Pei, J. in Data Mining Concepts and Techniques 443–495 (Elsevier, 2011).
Zuur, A. F., Ieno, E. N. & Elphick, C. S. A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol 1, 3–14 (2010).
James, G., Witten, D., Hastie, T. & Tibshirani, R. An Introduction to Statistical Learning with Applications in R (Springer, 2021).
Breiman, L., Friedman, J. H., Olshen, R. A. & Stone, C. J. Classification and Regression Trees (Routledge, 1984).
Zuur, A. F., Ieno, E. N. & Smith, G. M. Analysing Ecological Data (Springer, 2007).
Wei, T. & Simko, V. corrplot: visualization of a correlation matrix (version 0.84). R package (2017).
Kassambara, A. & Mundt, F. factoextra: extract and visualize the results of multivariate data analyses. R package (2020).
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).
Therneau, T. & Atkinson, B. rpart: recursive partitioning and regression trees. R package (2022).
Oksanen, J. et al. vegan: community ecology package (version 2.0-2). R package (2020).
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