Quantifying anthropogenic microparticle contamination in cave sediments: spatial heterogeneity matters

Anthropogenic microparticle pollution is a pervasive phenomenon affecting even remote environments, such as natural caves. Despite potential impacts on these fragile and valuable underground ecosystems, data on microparticle concentration in natural caves still remain sparse and often based on limited sampling and insufficient spatial replication. In this study, a hierarchical sampling design including large (between caves, 1000s m), medium (subareas within caves, 10s m), local (stations within subareas, 100s cm) and small (among replicates, 10s cm) scale, was implemented to identify patterns of spatial variation in microparticle contamination of surface sediments from two caves in the Classical Karst (NE Italy). Suspected anthropogenic microparticles were detected in all samples, with an average concentration of 90.9 items kg-1 dry weight, predominantly transparent particles (>34.9%), often fibers <1 mm (49.9 - 58.1%). Most of items (94.5%) were microplastics made of PP (45%), PET (35%), and PE (20%), whereas the remaining microparticles consisted of non-plastic items, including unknown cellulose (5%) and anthropogenic cellulose (0.5%). The total number of microparticles, their type and relative abundance, significantly varied at the scale of subareas, while no significant variations were detected at the scale of stations and between caves. In all cases, subareas and replicates primarily contributed to the total variability (11 - 20% and ≥80%, respectively), highlighting small- and medium-scale heterogeneity as the most relevant sources of spatial variations of microparticle contamination. As a number of factors, from varying contamination sources to geomorphological complexity of caves, may affect dispersal and accumulation of microparticles in environmental matrices, our findings stress the need for more structured sampling designs to quantify the intrinsic spatial variability of microparticles in order to obtain reliable estimates of contamination in cave environments.